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MELODIC SIGNED

Multi-cloud Execution-ware for Large-scale Optimized Data-Intensive Computing

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

MELODIC project word cloud

Explore the words cloud of the MELODIC project. It provides you a very rough idea of what is the project "MELODIC" about.

dynamically computing data federated locality fast run time utilisation lock professional counter clouds tested contributions optimise benefits cactos private melodic paasage demanding paasword resource teams seamlessly platforms unified boundaries transparently advantage exploited scalable reasoning source big world public configuration genomic integrate security autonomic maintained back geographically software infrastructures deployment distributed service frameworks integrating platform customer constraints relationship released privacy performance realise of conform spark extended hadoop vendor cloud routing cross house intelligent traffic intensive serving

Project "MELODIC" data sheet

The following table provides information about the project.

Coordinator	UNIVERSITETET I OSLO Organization address address: PROBLEMVEIEN 5-7 city: OSLO postcode: 313 website: www.uio.no 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	Norway [NO]
Project website	http://melodic.cloud/
Total cost	4˙890˙223 €
EC max contribution	4˙890˙223 € (100%)
Programme	1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
Code Call	H2020-ICT-2016-1
Funding Scheme	RIA
Starting year	2016
Duration (year-month-day)	from 2016-12-01 to 2020-01-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	UNIVERSITETET I OSLO UNIVERSITETET I OSLO Organization address address: PROBLEMVEIEN 5-7 city: OSLO postcode: 313 website: www.uio.no contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	NO (OSLO)	coordinator	653˙911.00
2	7BULLS.COM SPOLKA Z OGRANICZONA ODPOWIEDZIALNOSCIA 7BULLS.COM SPOLKA Z OGRANICZONA ODPOWIEDZIALNOSCIA Organization address address: UL. AL. SZUCHA 8 city: WARSZAWA postcode: 00 582 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	PL (WARSZAWA)	participant	988˙091.00
3	SIMULA RESEARCH LABORATORY AS SIMULA RESEARCH LABORATORY AS Organization address address: MARTIN LINGES VEI 17 city: FORNEBU postcode: 1364 website: www.simula.no contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	NO (FORNEBU)	participant	885˙470.00
4	UNIVERSITAET ULM UNIVERSITAET ULM Organization address address: HELMHOLTZSTRASSE 16 city: ULM postcode: 89081 website: www.uni-ulm.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (ULM)	participant	717˙677.00
5	CAS SOFTWARE AG CAS SOFTWARE AG Organization address address: CAS WEG 1-5 city: KARLSRUHE postcode: 76131 website: www.cas.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (KARLSRUHE)	participant	621˙875.00
6	INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS Organization address address: Patission Str. 42 city: ATHINA postcode: 10682 website: www.iccs.gr contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	EL (ATHINA)	participant	549˙645.00
7	CE-TRAFFIC AS CE-TRAFFIC AS Organization address address: PRVNIHO PLUKU 621/8A city: PRAHA postcode: 186 00 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	CZ (PRAHA)	participant	473˙553.00

Map

Project objective

MELODIC will enable data-intensive applications to run within defined security, cost, and performance boundaries seamlessly on geographically distributed and federated cloud infrastructures. Serving the user’s needs and constraints, MELODIC will realise the potential of Cloud computing for big data and data-intensive applications by transparently taking advantage of distinct characteristics of available private and public clouds, dynamically optimise resource utilisation, consider data locality, conform to the user’s privacy needs and service requirements, and counter vendor lock-in.

These benefits are achieved by integrating and extending the results and the open source platforms available from three major European Cloud projects with the Hadoop and Spark big data frameworks: The PaaSage platform will be used for intelligent and autonomic cross-cloud deployment and is extended with data aware modelling and deployment configuration reasoning; the CACTOS platform is extended with support for Hadoop and Spark in cross-Cloud application deployment and management; and the PaaSword platform will ensure unified data security and cross-Cloud privacy.

MELODIC will integrate with the existing open source development teams for these platforms and the contributions will be released back to the used platforms as open source. The integrated MELODIC platform will be maintained and exploited by a professional software house, and tested in several demanding real world applications: scalable Customer Relationship Management, real-time optimised traffic routing, and fast and scalable processing of genomic data.

Deliverables

List of deliverables.
System specification document	Documents, reports	2020-01-20 15:57:27
Updates to OSS frameworks	Documents, reports	2020-01-20 15:57:27
Evaluation Framework and Use Case Planning	Documents, reports	2020-01-20 15:57:27
Dissemination and communication plan	Documents, reports	2020-01-20 15:57:27
Metadata schema management	Other	2020-01-20 15:57:27
Integration release and initial test environment	Other	2020-01-20 15:57:27
Continuous integration platform & guidelines	Documents, reports	2020-01-20 15:57:27
Integration & testing requirements	Documents, reports	2020-01-20 15:57:27
Report on data placement and migration methodologies	Documents, reports	2020-01-20 15:57:27
Quality Assurance Guide	Documents, reports	2020-01-20 15:57:27
Metadata schema	Documents, reports	2020-01-20 15:57:27
Architecture and initial feature definitions	Documents, reports	2020-01-20 15:57:27
Provider agnostic interface definition & mapping cycle	Documents, reports	2020-01-20 15:57:27
Integration and adaptation strategy	Documents, reports	2020-01-20 15:57:27
Explanation and education materials	Documents, reports	2020-01-20 15:57:27
Test strategy and environment	Documents, reports	2020-01-20 15:57:27
IDE-plugin for data-aware design and development of multi-cloud data-intensive applications	Other	2020-01-20 15:57:27

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

Publications

List of publications.
year	authors and title	journal	last update
2019	Kyriakos Kritikos, Chrysostomos Zeginis, Joaquin Iranzo, Roman Sosa Gonzalez, Daniel Seybold, Frank Griesinger, JÃ¶rg Domaschka Multi-cloud provisioning of business processes published pages: , ISSN: 2192-113X, DOI: 10.1186/s13677-019-0143-x	Journal of Cloud Computing 8/1	2020-04-01
2019	JÃ¶rg Domaschka and Daniel Seybold Towards Understanding the Performance of Distributed Database Management Systems in Volatile Environments published pages: , ISSN: , DOI:	10th Symposium on Software Performance 2019, 4.-6. November 2019, WÃ¼rzburg, Germany	2020-04-01
2019	Somnath Mazumdar, Daniel Seybold, Kyriakos Kritikos, Yiannis Verginadis A survey on data storage and placement methodologies for Cloud-Big Data ecosystem published pages: , ISSN: 2196-1115, DOI: 10.1186/s40537-019-0178-3	Journal of Big Data 6/1	2020-01-20
2019	D Seybold, S Volpert, S Wesner, A Bauer, N Herbst, J Domaschka; Kaa: Evaluating Elasticity of Cloud-hosted DBMS; published pages: , ISSN: , DOI:		2020-01-20
2017	Geir Horn, Ernst G. Gran ModellingÂ Application Data for Analysis published pages: , ISSN: , DOI:		2020-01-20
2018	Feroz Zahid, Amir Taherkordi, Ernst Gunnar Gran, Tor Skeie, Bjorn Dag Johnsen A Self-Adaptive Network for HPC Clouds: Architecture, Framework, and Implementation published pages: 1-1, ISSN: 1045-9219, DOI: 10.1109/TPDS.2018.2842224	IEEE Transactions on Parallel and Distributed Systems	2020-01-20
2017	Daniel Seybold, JÃ¶rg Domaschka Is Distributed Database Evaluation Cloud-Ready? published pages: 100-108, ISSN: , DOI: 10.1007/978-3-319-67162-8_12	New Trends in Databases and Information Systems: ADBIS 2017 Short Papers and Workshops, AMSD, BigNovelTI, DAS, SW4CH, DC, Nicosia, Cyprus, September 24â€“27, 2017, Proceedings	2020-01-20
2017	DREIBHOLZ, THOMAS Big Data Applications on Multi-Clouds: An Introduction to the MELODIC Project published pages: , ISSN: , DOI:		2020-01-20
2018	Amir Taherkordi, Feroz Zahid, Yiannis Verginadis, Geir Horn Future Cloud Systems Design: Challenges and Research Directions published pages: 1-1, ISSN: 2169-3536, DOI: 10.1109/ACCESS.2018.2883149	IEEE Access	2020-01-20

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