netman-2019.netmode.ntua.gr

Homepage
http://www.netmode.ntua.gr/main/index.php
VMs
40
Hard Disk Storage
600 GB
RAM
40 GB
CPUs
40
Participants
40
Creation date
26/10/2018
End Date
28/02/2019

Purpose: Laboratory exercises for Network Management - Intelligent Networks Undergraduate Course, School of ECE @ NTUA
The course aims at introducing students to Network Management, with emphasis on Internet based architectures and protocols.

Implemented by: National Technical University of Athens

ATS2018.INFOSEC.UOM.GR

VMs
400
Hard Disk Storage
15.6 TB
RAM
1.56 TB
CPUs
800
Participants
200
Creation date
03/09/2018
End Date
28/02/2019

Purpose: Resources for the undergraduate course "Network and Internet Applications security" (Department Of Applied Informatics).
The student will (a) gain familiarity with protection requirements of modern information and communication systems, (b) learn the fundamental cryptology-based techniques for securing data processing and transmission over the Internet, (c) acquire experience on applying the above techniques in laboratory conditions.

Implemented by: University of Macedonia

hmi-lab2018b.ece.ntua.gr

VMs
80
Hard Disk Storage
800 GB
RAM
80 GB
CPUs
80
Participants
80
Creation date
27/09/2018
End Date
31/03/2019

Purpose: The purpose of this project is to provide to the students following the course “Human - Machine Interaction” at the School of Electrical & Computer Engineering of NTUA, the possibility to learn in practice how to create a virtual machine and configure a full web server (LAMP stack). On their web servers the student teams will install dynamic websites and learn the basics of HTML, CSS and JavaScript in order to customize their web sites. The goal of each website will be to promote a novel technological idea for an application or service to potential collaborators and founders, in a way similar to the well known Kickstarter.

Implemented by: National Technical University of Athens

oslab2018.cslab.ece.ntua.gr

Homepage
http://www.cslab.ece.ntua.gr/courses/compsyslab/
VMs
50
Hard Disk Storage
1 TB
RAM
200 GB
CPUs
100
Participants
50
Creation date
20/02/2018
End Date
30/09/2018

Purpose: Operating Systems Lab Undergraduate Course, School of ECE @ NTUA
The aim of the course is the practical consolidation and understanding of issues related to the design and implementation of mechanisms for modern operating systems.
The course includes laboratory exercises, where students are required to develop functionality for drivers for Linux device and implement virtual hardware through virtualization mechanisms (QEMU-KVM, VirtIO). For this purpose an isolated (sandbox) environment (eg a virtual machine) that supports nested virtualization is required, in order to create virtual machines within an existing virtual machine and modify the virtual hardware.

Implemented by: National Technical University of Athens

NetLab--PostGrad.CS.UniPi

Homepage
http://netlab.cs.unipi.gr/
VMs
160
Hard Disk Storage
3 ΤB
CPUs
640
RAM
640 GB
Creation date
21/12/2015
End Date
20/12/2019

Purpose: This project aims to support services to postgraduate students and researchers of our laboratory.
The research and teaching activities of the lab span several areas of computer science and networking, with a special focus on telecommunications, network & computer security on wireless applications and information and communication technologies (ICT) in the healthcare domain. Areas of interest include energy efficiency, power control, admission control, interference analysis, green communications, information systems, data privacy and related Hellenic and EU regulation, IT applications and privacy in healthcare, wireless sensor networks, access control mechanisms, distributed networks, quality of service, traffic engineering and policy-based management.

Implemented by: University of Piraeus

LODOpenAIRE.imis.athena-innovation.gr

Homepage
http://openaire.eu/
VMs
35
Hard Disk Storage
6 TB
RAM
552 GB
CPUs
240
Creation date
22/10/2015
End Date
31/12/2019

Purpose: 50 partners, from all EU countries, and beyond, will collaborate to work on this large-scale initiative that aims to promote open scholarship and substantially improve the discoverability and reusability of research publications and data. The initiative brings together professionals from research libraries, open scholarship organisations, national e-Infrastructure and data experts, IT and legal researchers, showcasing the truly collaborative nature of this pan-European endeavor. A network of people, represented by the National Open Access Desks (NOADs), will organise activities to collect H2020 project outputs, and support research data management.

Implemented by: "Athena" Research and Innovation Centre in Information, Communication and Knowledge Technologies

mscdss.ds.unipi.gr

Homepage
http://www.ds.unipi.gr/msc_dss/
VMs
100
Hard Disk Storage
5 TB
RAM
200 GB
CPUs
100
Participants
50
Creation date
11/02/2017
End Date
20/02/2019

Purpose: Resources for the courses of the Postgraduate Programme “Digital Systems & Services” (http://www.ds.unipi.gr/msc_dss/) @ Department of Digital Systems - University of Piraeus.

The postgraduate programme includes cloud computing and big data analytics courses, in which students are asked to implement applications on a cloud infrastructure. In particular, students are asked to develop algorithms in Hadoop / MapReduce, Spark, and using NoSQL databases such as MongoDB, HBase, Cassandra, etc. The computing resources and storage space will be used by the students in order to develop their applications in a realistic environment.

Implemented by: University of Piraeus

qualimaster.softnet.tuc.gr

Homepage
http://qualimaster.eu/
VMs
16
Hard Disk Storage
1.25 ΤB
RAM
128 GB
CPUs
32
Creation date
24/10/2014
End Date
29/10/2019

Purpose: Qualimaster project: A configurable real-time data processing infrastructure mastering autonomous quality adaptation
The growing number of fine-granular data streams opens up new opportunities for improved risk analysis, situation and evolution monitoring as well as event detection. However, there are still some major roadblocks for leveraging the full potential of data stream processing, as it would, for example, be needed the highly relevant systemic risk analysis in the financial domain.
The QualiMaster project will address those road blocks by developing novel approaches for autonomously dealing with load and need changes in large-scale data stream processing, while opportunistically exploiting the available resources for increasing analysis depth whenever possible. For this purpose, the QualiMaster infrastructure will enable autonomous proactive, reflective and cross-pipeline adaptation, in addition to the more traditional reactive adaptation. Starting from configurable stream processing pipelines, adaptation will be based on quality-aware component description, pipelines optimization and the systematic exploitation of families of approximate algorithms with different quality/performance tradeoffs. However, adaptation will not be restricted to the software level alone: We will go a level further by investigating the systematic translation of stream processing algorithms into code for reconfigurable hardware and the synergistic exploitation of such hardware-based processing in adaptive high performance large-scale data processing.
The project focuses on financial analysis based on combining financial data streams and social web data, especially for systemic risk analysis. Our user-driven approach involves two SMEs from the financial sector. Rigorous evaluation with real world data loads from the financial domain enriched with relevant social Web content will further stress the applicability of QualiMaster results.

Implemented by: Technical University of Crete

Publications: http://qualimaster.eu/?page_id=218

ngspre.lominab.auth

VMs
10
Hard Disk Storage
300 GB
File Storage Space
600 GB
RAM
64 GB
CPUs
64
Creation date
01/04/2015
End Date
30/09/2019

Purpose: It concerns the collaboration of the Lab of Medical Informatics, AUTH, with Institute of Applied Biosciences, INAB/CERTH.
We develop algorithms and pipelines for the analysis of next generation sequencing data in immunogenetics, focusing on Chronic Lymphocytic Leykaemia.

Implemented by: Aristotle University of Thessaloniki

Publications:

  1. E Stalika, A Hadzidimitriou, As Gkoufas, M Karypidou4, S Mastrodemou, A Vardi1, V Bikos, I Mavroudi, S Pospisilova, A Anagnostopoulos, N Maglaveras, I Chouvarda H Papadaki and K Stamatopoulos , 2731 High-Throughput Profiling of the T-Cell Receptor Gene Repertoire Supports Antigen Drive in the Pathogenesis of Chronic Idiopathic Neutropenia, 56th ASH Annual meeting, San Fransisco, Dec 6-9 2014 , https://ash.confex.com/ash/2014/webprogram/Paper70511.html
  2. A Vardi, E Stalika, M Karypidou, LA Sutton, V Bikos, A Anagnostopoulos, S Pospisilova, N Maglaveras, R Rosenquist, K Stamatopoulos, I Chouvarda and A Hadzidimitriou, 3285 Tracing the Ontogeny of IgG-Switched CLL: High-Throughput Immunogenetic Evidence, 56th ASH Annual meeting, San Fransisco, Dec 6-9 2014 ,https://ash.confex.com/ash/2014/webprogram/Paper70447.html
  3. A Vardi, E Stalika, A Gkoufas, M Karypidou, V Bikos, S Pospisilova, A Anagnostopoulos, N Maglaveras, A Hadzidimitriou, I Chouvarda and Ks Stamatopoulos, 1950 High-Throughput T-Cell Receptor Gene Repertoire Profiling in Chronic Lymphocytic Leukemia Reveals a Molecular Signature of Antigen Selection, 56th ASH Annual meeting, San Fransisco, Dec 6-9 2014, https://ash.confex.com/ash/2014/webprogram/Paper70490.html

nosqladaptation.ics.forth.gr

Homepage
http://users.ics.forth.gr/~papaioan/nosql_adaptation.html
VMs
17
Hard Disk Storage
1 TB
RAM
136 GB
CPUs
68
Creation date
17/04/2016
End Date
31/08/2019

Purpose: Operators of successful Internet-scale applications invariably see the growing popularity of their services translate into the need for more data capacity, higher I/O performance, and continuous operation. Data demands have been growing exponentially in recent years and distributed data stores have been gaining popularity as a means to addressing these needs. Rather than relying on centralized storage arrays, distributed data stores consolidate large numbers of commodity servers into a single storage pool, providing large capacity and high performance at low cost over an unreliable and dynamically-changing (often cloud-based) infrastructure.
A special class of systems goes further to offer guarantees to achieve application performance goals described as Service Level Objectives (SLOs). Such systems focus on identifying the performance capabilities of available resources and then predict and provision the optimal set resources necessary to achieve the requested performance goals. Since application requirements (and thus SLOs) change over time, quality of service (QoS)-aware data stores should be able to adapt to the new requirements to comply with application expectations. A key question is to determine the appropriate adaptation actions that maintain the same application semantics (regarding durability, availability, integrity and consistency of data) model while minimizing or ideally even hiding the window of performance degradation.
In addition, there is usually a trade-off between the duration of the adaptation actions and their performance impact on the system during adaptation. Ideally, the system should be able to adapt to data growth or the workload changes as quickly as possible to satisfy application requirements. Nevertheless, the more aggressive the adaptation action the deeper its impact on application performance, exposing a key tradeoff. There are important research questions to be addressed on agile provisioning and adaptation policies for large scale distributed data stores that target to achieve SLOs or offer the best possible performance while ensuring the durability, availability, and consistency of data.
The goal of the project is to address the important research questions on agile provisioning and adaptation policies for large scale distributed data stores that target to achieve SLOs or offer the best possible performance. As a matter of fact it is required a platform that can provide resource and support the deployment of distributed data store. Multiple nodes may effectively be used during the runtime of experiments by joining (or leaving) the system providing elastic and adaptive features to the data store. During the experiment we should be able to monitor the application performance as well as the available resource utilization while the application evolves during its lifetime.

Implemented by: Institute of Computer Science (ICS) - Foundation for Research and Technology - Hellas (FORTH)

biomed.athena-innovation.gr

Homepage
http://diana.imis.athena-innovation.gr/DianaTools/index.php?r=mrmicrot/index
VMs
60
Hard Disk Storage
3 TB
RAM
360 GB
CPUs
280
Creation date
25/04/2013
End Date
07/05/2019

Purpose: MR-microT is a MapReduce-based implementation of microT target prediction method. It provides near-real time predictions for custom miRNA sequences. MicroRNAs (miRNAs) are small RNA molecules that inhibit the expression of particular genes, a function that makes them useful towards the treatment of many diseases. Computational methods that predict which genes are targeted by particular miRNA molecules are known as target prediction methods.

MR-microT offers the highly requested by life scientists feature of predicting the targets of ad-hoc miRNA molecules in near-real time through an intuitive Web interface.

Hosted on okeanos MR-microT consists of (a) a Web server, that collects user requests for target predictions of miRNA sequences, (b) a Hadoop cluster, on the nodes of which our code is executed, and (c) a Hadoop master, which is a Virtual Machine responsible for managing the Hadoop cluster and the HDFS and HBase storage resources.

The Web server is an Ubuntu Virtual Machine carrying an instance of the Apache server and holding MR-microT's user interface. This front-end is written in PHP and collects user's HTTP requests to the MR-microT system for given miRNA sequences. The Web server sends these requests to the Hadoop master, which distributes the computations required by the requests to nodes of the Hadoop cluster. Each node reads input files from the HDFS during the initialization phase and requests HBase records when needed. The master node is also the proxy of the HDFS and the server of the HBase requests. As the cluster nodes execute their tasks, the master monitors their progress. The Web server polls the master for progress reports and presents them to the user in a human friendly form. The last progress report of the master informs the Web server that the process is completed, and, then, the output data are transfered from the HDFS to theWeb server in order to be presented to the user.

Implemented by: IMIS-Athena Research Center

abekt.dev.ekt.gr

Homepage
http://abekt.ekt.gr/
VMs
4
Hard Disk Storage
600 GB
File Storage Space
600 GB
RAM
32 GB
CPUs
32
Creation date
01/04/2016
End Date
30/04/2019

Purpose: ABEKT is EKT's Integrated Library System (ILS) supporting Greek Libraries (School, Academic, etc) and it is going to become the first Greek ILS known 'Software as a Service' in the market, built with open source software. OpenABEKT is a follow-up release of ABEKT software, developed with open source tools.

The database BiblioNet (sql1.biblionet.gr) from which bookstores, libraries amd online shops are being updated through SQL Views, is hosted on okeanos.

Implemented by: National Documentation Centre

Publications: The index of humanities and social sciences (http://www.grissh.gr), conference "Let's Put Data to Use: Digital Scholarship for the Next Generation"

Intelligent.Systems.Laboratory.NTUA

Homepage
https://www.islab.ntua.gr/
VMs
25
Hard Disk Storage
1 TB
File Storage Space
200 GB
RAM
200 GB
CPUs
100
Creation date
02/02/2017
End Date
03/02/2019

Purpose: The purpose of this project is to facilitate the research activities of the postgraduate students and researchers of our laboratory. The main direction of research is Artificial Intelligence and Machine Learning, with application to Natural Language Processing, Text Classification, Social Network Analysis and Recommender Systems. Other areas of interest include the use of deep learning techniques for the analysis of large scale optical and clinical data, both in the framework of facial expression recognition and emotion analysis, as well as the processing of a large number of optical and clinical medical data. In the latter case, the goal is to assess the progression of each individual's disease and hopefully discover meaningful correlations between their objective (images) and clinical (scales) states, previously unknown to us. Finally, the laboratory is also participating in a State Scholarships Foundation (IKY) projects, through the "Research Projects for Excellence IKY/Siemens" Programme in the framework of the Hellenic Republic – Siemens Settlement Agreement.

Implemented by: National Technical University of Athens

SDN-Teleorchestra.ics.forth.gr

VMs
12
Hard Disk Storage
600 GB
CPUs
40
Creation date
19/10/2016
End Date
01/01/2019

Purpose: In this research proposal we focus on the tele-orchestra service, the transmission of a music show where individual music organs are in different physical locations in real time. Tele-orchestra is one of the most demanding network applications requiring end-to-end delay of max 25 msec, to allow musicians to synchronize. The aim is to explore innovative ways of service support using Software-Defined Networking (SDN) principles, especially where errors can lead to failure during a remote orchestra.
The objectives of this research proposal are:
i. The transmission of Tele-orchestra between two nodes interconnected through a logical link in a wide area network (WAN) and the evaluation of service quality based on indicators such as throughput, latency, jitter, packet loss, etc.
ii. The introduction of artificial errors, such as failure / link decline in the real-time transmission of tele-orchestra between two WAN nodes, and evaluation of fail-over mechanisms. The recovery is performed through the feedback of the application from the network for any traffic change, topology, routing, and then the decision on the application, using the network information regarding audio encoding, sampling rate, internal buffer level, etc.
iii. The evaluation of the service and fail-over mechanisms in the transmission either through best-effort Internet, L2VPN tunnel, or optical path.
iv. The transmission of tele-orchestra between two or more WAN nodes, when a relay node is inserted, in a serial topology, or considering more complex star topology with more than two musicians.

Implemented by: Institute of Computer Science (ICS) - Foundation for Research and Technology - Hellas (FORTH)

CYSM.unipi.gr
European project on cooperative frameworks

Homepage
http://www.cysm.eu/
VMs
4
Hard Disk Storage
512 GB
File Storage Space
512 GB
RAM
8 GB
CPUs
8
Creation date
27/01/2015
End Date
31/12/2018

Purpose:The CYSM system aims to aid ports to improve the security and safety posture of their cyber and physical infrastructures.
Serving this scope, the system integrates an innovative, open, collaborative, integrated, comprehensive and personalized framework that enables the ports to identify, monitor and treat their cyber and physical risks. The proposed framework incorporates a bouquet of advanced security self-management services (Collaborative Services, Content Management Services and Cyber/Physical Management Services) that support and facilitate the ports to evaluate their security and safety level. In particular, these services enable the ports to check and control their compliance with requirements and rules imposed by widely used standards, specifications, frameworks and best practices (e.g. ISPS code, and ISO-27001).
The collaboration and information sharing within the organizations as well as among the ports are the main principles of the supported self-assessment processes.

CYSM is a two year project funded by the Prevention, Preparedness and Consequence Management of Terrorism and other Security-related Risks Programme of the European Union.

The consortium members are: University of Piraeus Research Center, Singular Logic SA, University of Genoa, Piraeus Port Authority, Valencia Port Foundation.

Implemented by: University of Piraeus Research Center

Publications:

  1. G. Makrodimitris, N. Polemi, and C. Douligeris , “Security Risk Assessment Challenges in Port Information Technology Systems”, 5th Conference on e-Democracy Security, Privacy and Trust in a Digital World, 5-6 December 2013, Athens.
  2. Papastergiou S. and Polemi D.. “Harmonizing commercial port security practices & procedures In Mediterranean Basin”. Special Session on “Secure and Sustainable maritime digital environment” within The Fifth International Conference on Information, Intelligence, Systems and applications (IISA 2014), July 07th 2014, Chania Crete, Greece.
  3. Karantjias A., Polemi D. and Papastergiou S.. “Advanced Security Management System for Critical Infrastructures”. Special Session on “Secure and Sustainable maritime digital environment” within The Fifth International Conference on Information, Intelligence, Systems and applications (IISA 2014), July 07th 2014, Chania Crete, Greece.
  4. NIS Platform WG3 meeting on EU industry Innovation and Competitiveness Monday, March 2, 2015 Contribution in the “State of the art Secure ICT Landscape deliverable” entitled “Ports Critical Information Infrastructures and Supply Chain Security”.

mdakm.ceid.upatras.gr

Homepage
http://mdakm.ceid.upatras.gr/
VMs
150
Hard Disk Storage
5 TB
RAM
1.17 TB
CPUs
300
Creation date
16/01/2017
End Date
31/12/2018

Purpose: Resources for research and educational activities of the Multidimensional Data Analysis and Knowledge Management Laboratory. The lab focuses on the development of similarity metrics for various types of data, techniques for data preprocessing and representation, feature extraction, dimensionality reduction, pattern detection, classification, clustering, association discovery, data modeling and simulation, and on the application of these methodologies to critical sectors such as medicine, biology, the environment, etc. The research interests of the lab members include Data Management and Analysis, Signal Processing, Bioinformatics, Natural Language Processing and Big Data.

Implemented by: University of Patras

datastories.unipi.gr

Homepage
http://www.datastories.org/
VMs
100
Hard Disk Storage
10 TB
RAM
400 GB
CPUs
400
Creation date
16/12/2016
End Date
16/12/2018

Purpose: An interdisciplinary research activity at the University of Piraeus with focus on Data Science.
The wealth of existing data, often referenced both in space and time, enable novel classes of applications and services of high societal and economic impact. Modern applications, including social networks, scientific databases, bioinformatics, open governmental data, produce vast volumes of data that are often publicly available, although quite diverse, unrelated and raw.
This poses important challenges for next-generation data management systems, targeting to turning data into knowledge, aiming to affect many important sectors of human life.
Our goal is to address the challenging problems related to the wealth data, by advancing research and producing solutions to real world problems related to efficient and scalable management of Big Data (gathering and cleansing data, storing and indexing data, analyzing, and mining data). Our view of processing big data includes both, batch-style analytical processing and real-time processing.
Emerging issues, such as semantic- and privacy-aware querying and mining, as well as distributed processing of data and integration of data sources through scalable solutions for semantic enrichment and alignment, are in focus.

Implemented by: University of Piraeus

connectivityAmongDatasets.ics.forth.gr

Homepage
http://www.ics.forth.gr/isl/LODsyndesis/
VMs
14
Hard Disk Storage
840 GB
RAM
112 GB
CPUs
112
Creation date
26/01/2016
End Date
10/12/2018

Purpose: The proliferation of the RDF data model along with the trend for big data have resulted in large volumes of RDF data which are being published either as RDF dumps or in SPARQL endpoints. Although the ultimate objective is linking and integration, it is not currently evident how connected the current LOD cloud is. The classical visualizations of the LOD cloud show only how many links exist between pairs of datasets. Measurements (and indexes) that involve more than two datasets are not available although they would be useful in several tasks, e.g. for obtaining complete information about one particular URI (or set of URIs), for constructing visualizations that provide more informative overviews and could aid dataset discovery, for dataset selection in a mediator integration approach, etc. Since it would be prohibitively expensive to perform all these measurements in a naive way, we introduce various indexes (and their construction algorithms) that can speedup such tasks. In brief, we introduce a namespace-based prefix index, a sameAs catalog for computing the symmetric and transitive closure of the owl:sameAs relationships encountered in the datasets, a semantics-aware element index (that exploits the aforementioned indexes), and finally a lattice-based incremental algorithm for speeding up the computation of the intersection URIs of any set of datasets. However, the construction of the above indexes in one machine requires a lot of memory, therefore, it can be prohibited to create such indexes for billion of URIs. A MapReduce approach could solve the problem of memory limitation and speed up the whole approach.

Implemented by: Institute of Computer Science (ICS) of the Foundation for Research and Technology - Hellas (FORTH)

entityresolution.ics.forth.gr
Entity Resolution in the Web of Data, using MapReduce

Homepage
http://www.csd.uoc.gr/~vefthym/er/
VMs
15
Hard Disk Storage
940 GB
RAM
116 GB
CPUs
116
Creation date
02/10/2013
End Date
31/07/2017

Purpose: Entity Resolution in the Web of Data, using MapReduce.
There is a vast and rapidly increasing quantity of government, scientific, corporate, and crowd-sourced data published nowadays on the Web. The emerging Web of Data realizes the vision of a data-driven decision-making and is expected to play a catalyst role in the way structured information is exploited across-domains in a large scale. It offers a great potential for building innovative data products and services that create new value from already collected data by fostering active citizenship (awareness regarding greenhouse gas emissions, food supply-chains, etc.), urban sustainability (smart energy consumption, mobility, etc.), but also world-wide research according to the "fourth paradigm of science".

In particular, according to the Linked Data paradigm, real-world entities are described on the Web by interlinked data rather than documents. Data publishers are thus encouraged to describe entities using W3C standards (RDF, etc.) by naming them with HTTP URIs, so that people can access their descriptions on the Web, as well as by including links to other URIs, so that people can discover more entities (persons, places, artefacts, etc.). Due to the open and decentralized nature of the Web, real-world entities are usually described in multiple datasets using different URIs in a partial, overlapping and sometimes evolving way. Recognizing descriptions of the same real-world entity across (and sometimes within) data sources emerges as a central problem in order to increase dataset linking but also to search the Web of data for entities and their relations (e.g., persons, things, events, places, etc.).

Implemented by: University of Crete - Institute of Computer Science (ICS) of the Foundation for Research and Technology - Hellas (FORTH) in cooperation with UoA & IMIS-Athena Research Center.

Publications:

  1. Kostas Stefanidis, Vasilis Efthymiou, Melanie Herschel, Vassilis Christophides: Entity resolution in the web of data. WWW (Companion Volume) 2014: 203-204,
  2. Vassilis Christophides, Vasilis Efthymiou, Kostas Stefanidis: Entity Resolution in the Web of Data. Synthesis Lectures on the Semantic Web: Theory and Technology. Morgan & Claypool Publishers.

hmi-lab2018.ece.ntua.gr

VMs
65
Hard Disk Storage
650 GB
RAM
65 GB
CPUs
65
Participants
65
Creation date
20/02/2018
End Date
31/07/2018

Purpose: The purpose of this project is to provide, for the first time, to the students following the 8th semester course “Human - Machine Interaction” at the School of Electrical & Computer Engineering of NTUA, the possibility to learn in practice how to create a virtual machine and configure a full web server (LAMP stack). On their web servers the student teams will install dynamic websites and learn the basics of HTML, CSS and JavaScript in order to customize their web sites. The goal of each website will be to promote a novel technological idea for an application or service to potential collaborators and founders, in a way similar to the well known Kickstarter.

Implemented by: National Technical University of Athens

BigDataAnalytics2018.uom.gr

VMs
120
Hard Disk Storage
1.76 TB
RAM
120 GB
CPUs
120
Creation date
10/01/2018
End Date
30/06/2018

Purpose: Project to be used by the students of the big data analytics elective course of the Department of Applied Informatics, University of Macedonia

Implemented by: University of Macedonia

ISS2018.UOM.GR

VMs
440
Hard Disk Storage
17.2 TB
RAM
1.72 TB
CPUs
880
Participants
220
Creation date
10/01/2018
End Date
29/06/2018

Purpose: Resources for the undergraduate course "Information and Systems security" (Department Of Applied Informatics).
The student will (a) learn the fundamental issues and principles of information and systems security, (b) gain familiarity with theoretical background like security models and policies, (c) acquire knowledge and experience on basic protection techniques and new directions on developing secure information systems.

Implemented by: University of Macedonia

netman-2018.netmode.ntua.gr

Homepage
http://www.netmode.ntua.gr/main/index.php
VMs
45
Hard Disk Storage
675 GB
RAM
45 GB
CPUs
45
Participants
50
Creation date
25/10/2017
End Date
28/02/2018

Purpose: Laboratory exercises for Network Management - Intelligent Networks Undergraduate Course, School of ECE @ NTUA
The course aims at introducing students to Network Management, with emphasis on Internet based architectures and protocols.

Implemented by: National Technical University of Athens

oslab2017.cslab.ece.ntua.gr

Homepage
http://www.cslab.ece.ntua.gr/courses/compsyslab/
VMs
60
Hard Disk Storage
1.17 TB
RAM
240 GB
CPUs
120
Participants
100
Creation date
28/02/2017
End Date
30/09/2017

Purpose: Operating Systems Lab Undergraduate Course, School of ECE @ NTUA
The aim of the course is the practical consolidation and understanding of issues related to the design and implementation of mechanisms for modern operating systems.
The course includes laboratory exercises, where students are required to develop functionality for drivers for Linux device and implement virtual hardware through virtualization mechanisms (QEMU-KVM, VirtIO). For this purpose an isolated (sandbox) environment (eg a virtual machine) that supports nested virtualization is required, in order to create virtual machines within an existing virtual machine and modify the virtual hardware.

Implemented by: National Technical University of Athens

hmi-lab2.ece.ntua.gr

VMs
50
Hard Disk Storage
500 GB
RAM
50 GB
CPUs
50
Participants
50
Creation date
03/05/2017
End Date
21/07/2017

Purpose: The purpose of this project is to provide, for the first time, to the students following the 8th semester course “Human - Machine Interaction” at the School of Electrical & Computer Engineering of NTUA, the possibility to learn in practice how to create a virtual machine and configure a full web server (LAMP stack). On their web servers the student teams will install dynamic websites and learn the basics of HTML, CSS and JavaScript in order to customize their web sites. The goal of each website will be to promote a novel technological idea for an application or service to potential collaborators and founders, in a way similar to the well known Kickstarter.

Implemented by: National Technical University of Athens

BigDataAnalytics.uom.gr

VMs
70
Hard Disk Storage
1 TB
RAM
140 GB
CPUs
70
Participants
50
Creation date
14/03/2017
End Date
30/06/2017

Purpose: Project to accomodate virtual machines for hadoop deployment for the students attending the elective course named "Big Data Analytics" of the department of applied informatics at the university of Macedonia.

Implemented by: University of Macedonia

iss2017.uom.gr

VMs
440
Hard Disk Storage
17 TB
RAM
2 TB
CPUs
880
Participants
220
Creation date
18/01/2017
End Date
30/06/2017

Purpose: Resources for the undergraduate course "Information and Systems security" (Department Of Applied Informatics).
The student will (a) learn the fundamental issues and principles of information and systems security, (b) gain familiarity with theoretical background like security models and policies, (c) acquire knowledge and experience on basic protection techniques and new directions on developing secure information systems.

Implemented by: University of Macedonia

Bioinformatics.Class.itmb

Homepage
http://itmb.di.uoa.gr/
VMs
16
Hard Disk Storage
2 ΤB
CPUs
128
RAM
128 GB
Creation date
07/10/2014
End Date
01/10/2017

Purpose: Resources for the Class: Introduction to Bioinformatics
Molecular Biology Primer (for Computer Scientists), Restriction Mapping Algorithms, Regulation and Regulatory Motifs, Genome Rearrangements, Local and global sequence alignments, Gene prediction, Gene expression analysis, Non-coding RNAs, introduction to the programming language PERL, practical programming exercise as lab work.

Implemented by: University of Athens

jet-clouds.phys.uoa.gr

Homepage
http://users.uoa.gr/~kdasyra/academics.html
VMs
16
Hard Disk Storage
1 TB
CPUs
128
Creation date
24/10/2016
End Date
30/09/2017

Purpose: We propose to simulate a black hole jet impacting gas clouds in a galaxy. Our goal is to perform a theoretical study of how the propagation of a powerful, relativistic jet affects the dense gas that collapses to form new stars. Magnetohydrodynamic simulations will be run for this purpose. We will be examining the role of radiative cooling, thermal conduction, magnetic fields. We will be determining how much gas is ejected outside the potential of galaxies, and how much gas ends up in galaxy halos. The simulations will be fine tuned upon real observations of galaxies in which jets collide upon clouds and disperse them.

Implemented by: University of Athens

mapreduceforcsps.uoa.gr

VMs
8
Hard Disk Storage
340 GB
CPUs
64
RAM
64 GB
Creation date
27/10/2014
End Date
30/06/2017

Purpose:The aim of the ~okeanos mapreduceforcsps.uoa.gr project is the development of a recursive Search Methods framework, that supports the easy design and implementation of ad hoc, custom, and traditional search methodologies which are appropriate to solve constraint satisfaction problems. The straightforward Search Methods definition helps to predict their behavior by simulating them in very large search trees. This simulation is exploited for the parallelization of an arbitrary serial search procedure by assigning to workers/mappers the most promising parts of the search tree, using the Hadoop MapReduce parallel system.

The work is carried out by Nikolaos Pothitos (PhD candidate, NKUA) and Assist. Prof. Panagiotis Stamatopoulos (NKUA) in the context of WP5.3 of the Thales project entitled "Handling uncertainty in data intensive applications on a distributed computing environment (cloud computing)" (http://excellence.minedu.gov.gr/thales/en/thalesprojects/380153), which is coordinated by Prof. Foto Afrati (NTUA).

Implemented by: University of Athens

atds.cslab.ece.ntua.gr

Homepage
http://www.cslab.ece.ntua.gr/courses/atds/
VMs
80
Hard Disk Storage
1 ΤB
CPUs
80
RAM
160 GB
Creation date
30/01/2014
End Date
01/05/2017

Purpose: Resources to install Hadoop and HBase clusters for the lesson "Advanced Topics in DataBase Systems" of the School of Electrical and Computer Engineering, National Technical University of Athens

Implemented by: National Technical University of Athens

netman-2017.netmode.ntua.gr

Homepage
http://www.netmode.ntua.gr/main/index.php
VMs
50
Hard Disk Storage
500 GB
RAM
50 GB
CPUs
50
Participants
50
Creation date
21/11/2016
End Date
31/03/2017

Purpose: Laboratory exercises for Network Management - Intelligent Networks Undergraduate Course, School of ECE @ NTUA
The course aims at introducing students to Network Management, with emphasis on Internet based architectures and protocols.

Implemented by: National Technical University of Athens

ATS2016.INFOSEC.UOM.GR

VMs
240
Hard Disk Storage
10 TB
CPUs
480
RAM
960 GB
Participants
120
Creation date
08/09/2016
End Date
28/02/2017

Purpose: Resources for the undergraduate course "Networks and Internet applications security" (Department Of Applied Informatics, fall semester 2016 - starting at 26/9).
The student will (a) gain familiarity with protection requirements of modern information and communication systems, (b) learn the fundamental cryptology-based techniques for securing data processing and transmission over the Internet, (c) acquire experience on applying the above techniques in laboratory conditions.

Implemented by: University of Macedonia

twww.e-ce.uth.gr

VMs
150
Hard Disk Storage
1000 GB
CPUs
23
RAM
200 GB
Participants
50
Creation date
19/09/2016
End Date
13/02/2017

Purpose: Resources for the undergraduate course on Web Technologies, Department of Electrical and Computer Engineering at the University of Thessaly.
This course is an introduction to the technologies and development processes in web applications (Web). Topics covered include: Basic concepts of networking (Internet, WWW, Web 2.0), The protocol HTTP Architecture Client / server (client-server) on the web , Functions and implement customer Web, dynamic execution sub – programs to the customer (DHTML, CSS, Javascript), Principles design user friendly interfaces on the web (web-style design), Technologies open and extensible documents (XML, DTDs), dynamic execution sub – programs on the server (CGI scripts, servlets / EJBs), Security , Technologies portals Web (portals)

Implemented by: University of Thessaly

swsys.msc.dmst.aueb.gr

Homepage
http://management.aueb.gr/
VMs
2
Hard Disk Storage
120 GB
RAM
16 GB
Public IPs
4
Creation date
26/10/2015
End Date
01/08/2016

Purpose: The swsys.msc.dmst.aueb.gr project underpins the Software Systems course of the MSc Management Science and Technology in the Athens University of Economics and Business.
The course teaches postgraduate students with a bachelor in a discipline other than computer science how to use Unix tools, Git, Python, and the latter's visualization libraries.
Students also learn and implement web applications that communicate with other applications, retrieve web pages, and provide dynamic data.

Implemented by: Athens University of Economics and Business

oslab2016.cslab.ntua.gr

Homepage
http://www.cslab.ece.ntua.gr/courses/compsyslab/
VMs
55
Hard Disk Storage
2.15 TB
RAM
110 GB
CPUs
110
Participants
55
Creation date
23/02/2016
End Date
31/07/2016

Purpose: Operating Systems Lab Undergraduate Course, School of ECE @ NTUA
The aim of the course is the practical consolidation and understanding of issues related to the design and implementation of mechanisms for modern operating systems.
The course includes laboratory exercises, where students are required to develop functionality for drivers for Linux device and implement virtual hardware through virtualization mechanisms (QEMU-KVM, VirtIO). For this purpose an isolated (sandbox) environment (eg a virtual machine) that supports nested virtualization is required, in order to create virtual machines within an existing virtual machine and modify the virtual hardware.

Implemented by: National Technical University of Athens

pardist.icte.uowm.gr

Homepage
http://arch.icte.uowm.gr/courses/parallel/
VMs
70
Hard Disk Storage
350 GB
CPUs
70
RAM
20 GB
Creation date
18/02/2016
End Date
31/05/2016

Purpose: Resources for the undergraduate core course of the 6th semester "Parallel and Distributed Operating Systems" of the Department of Informatics and Telecommunications Engineering at the University of Western Macedonia, Kozani, Greece.
In this course, the students set up their own computing cluster using NFS and OpenMPI on a Linux operating system (ubuntu). In the first part of the laboratory exercises, the students learn how to install a Linux Operating System, how to create a common NFS storage space, how to mount remotely NFS disks, how to use SSH keys for password-less authentication, how to secure their VPS using firewall and hosts.deny wrappers, how to use an MPI Host file and how to program and execute distributed applications using the Message Passing Interface API.

Implemented by: University of Western Macedonia

netman-2016.netmode.ntua.gr

Homepage
http://www.netmode.ntua.gr/main/index.php
VMs
50
Hard Disk Storage
500 GB
RAM
50 GB
CPUs
50
Participants
50
Creation date
30/11/2015
End Date
29/02/2016

Purpose: Laboratory exercises for Network Management - Intelligent Networks Undergraduate Course, School of ECE @ NTUA
The course aims at introducing students to Network Management, with emphasis on Internet based architectures and protocols.

Implemented by: National Technical University of Athens

dmbi.analytics.aueb.gr

Homepage
http://analytics.aueb.gr/
VMs
27
Hard Disk Storage
1.32 TB
RAM
216 GB
CPUs
108
Participants
27
Creation date
04/11/2015
End Date
31/01/2016

Purpose: Course: Data Management and Business Intelligence - MSc in Business Analytics AUEB
The first part of the course will cover traditional topics, such as: data modeling, design and architecture, relational systems, query languages, SQL, performance issues, query processing, transactions, web, distributed databases. It will also introduce the challenges modern data management systems face, such as stream data and cloud computing. The second part of the course will review basic BI concepts, such as: design, implementing and modeling of data warehouses, star schemas, data cubes, OLAP, tools & systems and design methodologies. It will also cover new trends in BI such as main-memory BI and column-oriented systems.

Implemented by: Athens University of Economics and Business

infosec2015a.uom.gr
Information Security Laboratory Course

Homepage
http://infosec.uom.gr/
VMs
440
Hard Disk Storage
17.2 TB
RAM
1.72 TB
CPUs
880
Participants
220
Creation date
24/02/2015
End Date
20/06/2015

Purpose: Resources for Information Security Laboratory Course.
The student will (a) learn the fundamental issues and principles of information and systems security, (b) gain familiarity with theoretical background like security models and policies, (c) acquire knowledge and experience on basic protection techniques and new directions on developing secure information systems.

Implemented by: University of Macedonia

oslab.cslab.ece.ntua.gr
OSLab 2015 course @cslab.ece.ntua.gr

Homepage
http://www.cslab.ece.ntua.gr/courses/compsyslab/
VMs
140
Hard Disk Storage
4.1 TB
RAM
280 GB
CPUs
280
Participants
140
Creation date
19/03/2015
End Date
31/07/2015

Purpose: Operating Systems Lab course at Computer Science Lab of School of Electrical and Electrical Engineering.
The aim of the course is the practical consolidation and understanding of issues related to the design and implementation of mechanisms for modern operating systems.
The course includes laboratory exercises, where students are required to develop functionality for drivers for Linux device and implement virtual hardware through virtualization mechanisms (QEMU-KVM, VirtIO). For this purpose an isolated (sandbox) environment (eg a virtual machine) that supports nested virtualization is required, in order to create virtual machines within an existing virtual machine and modify the virtual hardware.

Implemented by: National Technical University of Athens

neuroinformatics.gr

Homepage
neuroinformatics.gr
VMs
3
Hard Disk Storage
120 GB
RAM
12 GB
CPUs
12
Creation date
18/12/2013
End Date
31/05/2014

Purpose: The Neuroinformatics.GRoup is a multi-disciplinary research team at Aristotle University of Thessaloniki, wishing to explore brain function by means of innovative signal analytic tools.
The Neuroinformatics.GRoup conducts neuroscience and applied research based on a battery of original sophisticated algorithms which were motivated by the need to track brain's pattern formation and conceptualize the related dynamics in a intelligible manner.

Implemented by: Aristotle University of Thessaloniki

Publications:

  1. Pavlos Rigas, Dimitrios A. Adamos, Charalambos Sigalas, Panagiotis Tsakanikas, Nikolaos A. Laskaris, and Irini Skaliora1, “Spontaneous Up states in vitro: a single-metric index of the functional maturation and regional differentiation of the cerebral cortex." http://journal.frontiersin.org/article/10.3389/fncir.2015.00059/abstract