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CloudLightning

Self-Organising, Self-Managing Heterogeneous Cloud

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EC-Contrib. €

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Partnership

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Project "CloudLightning" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITY COLLEGE CORK - NATIONAL UNIVERSITY OF IRELAND, CORK 

Organization address
address: WESTERN ROAD
city: Cork
postcode: T12 YN60
website: www.ucc.ie

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Ireland [IE]
 Project website http://www.cloudlightning.eu
 Total cost 3˙957˙050 €
 EC max contribution 3˙934˙425 € (99%)
 Programme 1. H2020-EU.2.1.1.3. (Future Internet: Software, hardware, Infrastructures, technologies and services)
 Code Call H2020-ICT-2014-1
 Funding Scheme RIA
 Starting year 2015
 Duration (year-month-day) from 2015-02-01   to  2018-01-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY COLLEGE CORK - NATIONAL UNIVERSITY OF IRELAND, CORK IE (Cork) coordinator 883˙225.00
2    NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU NO (TRONDHEIM) participant 657˙330.00
3    MAXELER TECHNOLOGIES LIMITED UK (LONDON) participant 643˙625.00
4    INTEL RESEARCH AND DEVELOPMENT IRELAND LIMITED IE (Leixlip) participant 626˙000.00
5    ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS EL (THERMI THESSALONIKI) participant 373˙125.00
6    DUBLIN CITY UNIVERSITY IE (DUBLIN) participant 329˙370.00
7    INSTITUTUL E-AUSTRIA TIMISOARA RO (TIMISOARA) participant 283˙750.00
8    DIMOKRITIO PANEPISTIMIO THRAKIS EL (KOMOTINI) participant 138˙000.00

Map

 Project objective

Currently cloud infrastructures are mostly homogeneous -- composed of a large number of machines of the same type -- centrally managed and made available to the end user using the three standard delivery models: Infrastructure-as-a-service (IaaS), Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS). As clouds increase in size and as machines of different types are added to the infrastructure in order to maximise performance and power efficiency, heterogeneous clouds are being created. However, exploiting different architectures such as graphics processing units, many integrated cores and data flow engines, poses significant challenges.To efficiently access heterogeneous resources and, at the same time, to exploit these resources to reduce application development effort, to make optimisations easier and to simplify service deployment requires a reevaluation of our approach to service delivery.

The evolving complexity of the cloud ecosystem will eventually render traditional cloud management techniques ineffectual. Self-organisation and self-management are powerful techniques for managing complexity. Some of our initial simulation results using self organisation and self optimisation indicate that these can be used as the basis of a new cloud management and delivery model capable of efficiently dealing with issues that arise at scale. Our preliminary work has centred on promoting access to power efficient heterogeneous resources by shifting the deployment and optimization effort from the consumer to the software stack running on the cloud infrastructure. With CloudLightning, we propose to extend this work and to build a cloud management and delivery infrastructure based on these principles.

Given the prohibitive expense associated with empirical experimentation on hyperscale cloud infrastructures, data gathered on our testbed will be used to simulate this infrastructure and to evaluate the self organisation approach in that context.

 Deliverables

List of deliverables.
Gateway Service Documents, reports 2020-02-26 14:32:32
D8.1.1 Exploitation Plan and Strategic Guidelines for Exploitation Documents, reports 2020-02-26 14:32:33
Local Decision Strategies Documents, reports 2020-02-26 14:32:32
Simulation execution and evaluation Documents, reports 2020-02-26 14:32:33
D8.2.3 CloudLightning Dissemination Documents, reports 2020-02-26 14:32:33
Simulation Report Documents, reports 2020-02-26 14:32:33
Coalition Formation Documents, reports 2020-02-26 14:32:32
D8.2.1 CloudLightning Dissemination Documents, reports 2020-02-26 14:32:33
Integration Documents, reports 2020-02-26 14:32:33
Large scale modelling and simulation framework Documents, reports 2020-02-26 14:32:32
Integrated use cases Demonstrators, pilots, prototypes 2020-02-26 14:32:32
D8.1.3 Exploitation Plan and Strategic Guidelines for Exploitation Documents, reports 2020-02-26 14:32:32
Use Case Requirements Report Demonstrators, pilots, prototypes 2020-02-26 14:32:32
D8.3.3 Report on CloudLightning Concertation Documents, reports 2020-02-26 14:32:32
Prototype Specification and API Documents, reports 2020-02-26 14:32:31
Service Deployment and Management Documents, reports 2020-02-26 14:32:31
D2.3.1 Report on use case testing Documents, reports 2020-02-26 14:32:32
D8.2.2 CloudLightning Dissemination Documents, reports 2020-02-26 14:32:33
D8.3.2 Report on CloudLightning Concertation Documents, reports 2020-02-26 14:32:32
Service Description Format Documents, reports 2020-02-26 14:32:31
D8.1.4 Exploitation Plan and Strategic Guidelines for Exploitation Documents, reports 2020-02-26 14:32:32
Architecture Demonstrators, pilots, prototypes 2020-02-26 14:32:32
D8.3.1 Report on CloudLightning Concertation Documents, reports 2020-02-26 14:32:32
Evaluation Documents, reports 2020-02-26 14:32:31
D8.1.2 Exploitation Plan and Strategic Guidelines for Exploitation Documents, reports 2020-02-26 14:32:32
Gateway service user interface Documents, reports 2020-02-26 14:32:31

Take a look to the deliverables list in detail:  detailed list of CloudLightning deliverables.

 Publications

year authors and title journal last update
List of publications.
2017 Dan C. Marinescu, Ashkan Paya, John P. Morrison, Stephen Olariu
An approach for scaling cloud resource management
published pages: 909-924, ISSN: 1386-7857, DOI: 10.1007/s10586-016-0700-8
Cluster Computing 20/1 2020-02-26
2018 Christos K. Filelis-Papadopoulos, George A. Gravvanis, Panagiotis E. Kyziropoulos
A framework for simulating large scale cloud infrastructures
published pages: 703-714, ISSN: 0167-739X, DOI: 10.1016/j.future.2017.06.017
Future Generation Computer Systems 79 2020-02-26
2018 D. Dong, I. Drăgan, C. Filelis-Papadopoulos, T-F Fortiș, K. M. Giannoutakis, G. Gonzalez-Castañe, G. A. Gravvanis, C. S. Kouzinopoulos, T. Lynn, A. T. Makaratzis, J. P. Morrison, M. Neagul, D. Petcu, T. Selea, A. Spataru, D. Tzovaras, H. Xiong.
Heterogeneity, High Performance Computing, Self-Organization and the Cloud
published pages: , ISSN: , DOI:
2020-02-26
2017 Ioan Drăgan, Teodor-Florin Fortiş, Gabriel Iuhasz, Marian Neagul, Dana Petcu
Applying Self-* Principles in Heterogeneous Cloud Environments
published pages: 255-274, ISSN: , DOI: 10.1007/978-3-319-54645-2_10
Cloud Computing: Computer Communications and Networks 2020-02-26
2015 Malik M. Khan, Anne C. Elster
Benchmarking the Numascale Shared Memory Cluster System with MPI
published pages: , ISSN: , DOI: 10.13140/RG.2.1.3660.9364
Workshop on Exascale MPI at Supercomputing Conference 2020-02-26
2016 Dan Marinescu, Ashkan Paya, John Morrison
A Cloud Reservation System for Big Data Applications
published pages: 1-1, ISSN: 1045-9219, DOI: 10.1109/TPDS.2016.2594783
IEEE Transactions on Parallel and Distributed Systems 99 2020-02-26
2016 Ioan Dragan, Teodor Florin Fortis, Marian Neagul
Exposing HPC services in the Cloud: the CloudLightning Approach
published pages: , ISSN: 1895-1767, DOI: 10.12694/scpe.v17i4.1204
Scalable Computing: Practice and Experience 17/4 2020-02-26
2018 Antonios T. Makaratzis, Konstantinos M. Giannoutakis, Dimitrios Tzovaras
Energy modeling in cloud simulation frameworks
published pages: 715-725, ISSN: 0167-739X, DOI: 10.1016/j.future.2017.06.016
Future Generation Computer Systems 79 2020-02-26
2017 Christos K. Filelis-Papadopoulos, Konstantinos M. Giannoutakis, George A. Gravvanis, Dimitrios Tzovaras
Large-scale simulation of a self-organizing self-management cloud computing framework
published pages: , ISSN: 0920-8542, DOI: 10.1007/s11227-017-2143-2
The Journal of Supercomputing 2020-02-26
2017 Thomas L. Falch, Anne C. Elster
ImageCL: Language and source-to-source compiler for performance portability, load balancing, and scalability prediction on heterogeneous systems
published pages: e4384, ISSN: 1532-0626, DOI: 10.1002/cpe.4384
Concurrency and Computation: Practice and Experience 2020-02-26
2018 A. Makaratzis (CERTH), M. Khan (NTNU), K. Giannoutakis (CERTH), A. Elster (NTNU) and D. Tzovaras (CERTH)
GPU Power Modeling of HPC Applications for the Simulation of Heterogeneous Clouds
published pages: , ISSN: , DOI:
Proceedings of the 12th International Conference on Parallel Processing and Applied Mathematics (PPAM 2017) 2020-02-26
2017 Thomas L. Falch, Anne C. Elster
Machine learning-based auto-tuning for enhanced performance portability of OpenCL applications
published pages: e4029, ISSN: 1532-0626, DOI: 10.1002/cpe.4029
Concurrency and Computation: Practice and Experience 29/8 2020-02-26
2017 Teodor-Florin FortiÅŸ, Victor Ion Munteanu
Topics in cloud incident management
published pages: 163-164, ISSN: 0167-739X, DOI: 10.1016/j.future.2016.11.003
Future Generation Computer Systems 72 2020-02-26
2018 Marc Frincu, Bogdan Irimie, Teodora Selea, Adrian Spataru, Anca Vulpe
Evaluating Distributed Systems and Applications Through Accurate Models and Simulations
published pages: 1-18, ISSN: , DOI: 10.1007/978-3-319-73767-6_1
Modeling and Simulation in HPC and Cloud Systems 2020-02-26

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The information about "CLOUDLIGHTNING" are provided by the European Opendata Portal: CORDIS opendata.

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