Explore the words cloud of the CloudLightning project. It provides you a very rough idea of what is the project "CloudLightning" about.
The following table provides information about the project.
Coordinator |
UNIVERSITY COLLEGE CORK - NATIONAL UNIVERSITY OF IRELAND, CORK
Organization address contact info |
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 |
Take a look of project's partnership.
# | ||||
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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 |
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.
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.
year | authors and title | journal | last update |
---|---|---|---|
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.