Testing Optimization in Service EcoSystems (TEOS)

U Wajid; P Sampaio; N Mehandjiev

doi:10.1109/ICWS.2012.80

Testing Optimization in Service EcoSystems (TEOS)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper discusses preliminary stages and key research challenges tackled by TEOS (experiments) in the EC funded BonFIRE project. TEOS experiments aim to determine the conditions for achieving resilient and optimal service compositions for very large scale service composition scenarios relating to Future Internet applications. We deploy and test two large scale service optimization models under different scenarios and configurations on the multi-site cloud infrastructure established by the EC BonFIRE initiative. The outcome of TEOS will not only verify the feasibility of the optimization models in dealing with large number of services and future-internet scenarios but also the nature and design of our experiments will help in evaluating the underlying BonFIRE infrastructure.

Original language	English
Title of host publication	Web Services (ICWS), 2012 IEEE 19th International Conference on
Place of Publication	Washington, DC, USA
Pages	650-651
Number of pages	2
DOIs	https://doi.org/10.1109/ICWS.2012.80
Publication status	Published - Jun 2012
Event	2012 IEEE 19th International Conference on Web Services, ICWS 2012 - Honolulu, HI Duration: 1 Jul 2012 → …

Conference

Conference	2012 IEEE 19th International Conference on Web Services, ICWS 2012
City	Honolulu, HI
Period	1/07/12 → …

Keywords

Web services
cloud computing
optimisation
EC BonFIRE initiative
TEOS experiment
future Internet application
multisite cloud infrastructure
service composition
service ecosystem
service optimization model
testing optimization
Biological system modeling
Cloud computing
Computational modeling
Ecosystems
Optimization
Testing
composition
optimization

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10.1109/ICWS.2012.80

Cite this

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title = "Testing Optimization in Service EcoSystems (TEOS)",

abstract = "This paper discusses preliminary stages and key research challenges tackled by TEOS (experiments) in the EC funded BonFIRE project. TEOS experiments aim to determine the conditions for achieving resilient and optimal service compositions for very large scale service composition scenarios relating to Future Internet applications. We deploy and test two large scale service optimization models under different scenarios and configurations on the multi-site cloud infrastructure established by the EC BonFIRE initiative. The outcome of TEOS will not only verify the feasibility of the optimization models in dealing with large number of services and future-internet scenarios but also the nature and design of our experiments will help in evaluating the underlying BonFIRE infrastructure.",

keywords = "Web services, cloud computing, optimisation, EC BonFIRE initiative, TEOS experiment, future Internet application, multisite cloud infrastructure, service composition, service ecosystem, service optimization model, testing optimization, Biological system modeling, Cloud computing, Computational modeling, Ecosystems, Optimization, Testing, composition, optimization",

author = "U Wajid and P Sampaio and N Mehandjiev",

year = "2012",

month = jun,

doi = "10.1109/ICWS.2012.80",

language = "English",

isbn = "9780769547527",

pages = "650--651",

booktitle = "Web Services (ICWS), 2012 IEEE 19th International Conference on",

note = "2012 IEEE 19th International Conference on Web Services, ICWS 2012 ; Conference date: 01-07-2012",

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AU - Sampaio, P

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AB - This paper discusses preliminary stages and key research challenges tackled by TEOS (experiments) in the EC funded BonFIRE project. TEOS experiments aim to determine the conditions for achieving resilient and optimal service compositions for very large scale service composition scenarios relating to Future Internet applications. We deploy and test two large scale service optimization models under different scenarios and configurations on the multi-site cloud infrastructure established by the EC BonFIRE initiative. The outcome of TEOS will not only verify the feasibility of the optimization models in dealing with large number of services and future-internet scenarios but also the nature and design of our experiments will help in evaluating the underlying BonFIRE infrastructure.

KW - Web services

KW - cloud computing

KW - optimisation

KW - EC BonFIRE initiative

KW - TEOS experiment

KW - future Internet application

KW - multisite cloud infrastructure

KW - service composition

KW - service ecosystem

KW - service optimization model

KW - testing optimization

KW - Biological system modeling

KW - Cloud computing

KW - Computational modeling

KW - Ecosystems

KW - Optimization

KW - Testing

KW - composition

KW - optimization

U2 - 10.1109/ICWS.2012.80

DO - 10.1109/ICWS.2012.80

M3 - Conference contribution

SN - 9780769547527

SN - 978-0-7695-4752-7

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EP - 651

BT - Web Services (ICWS), 2012 IEEE 19th International Conference on

CY - Washington, DC, USA

T2 - 2012 IEEE 19th International Conference on Web Services, ICWS 2012

Y2 - 1 July 2012

ER -

Testing Optimization in Service EcoSystems (TEOS)

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