SLA-driven predictive orchestration for distributed cloud-based mobile services

Antonescu, Alexandru-Florian; Gomes, Andre; Robinson, Philip; Braun, Torsten (9 June 2013). SLA-driven predictive orchestration for distributed cloud-based mobile services. In: Kim, Dong-In; Mueller, Peter (eds.) 2013 IEEE International Conference on Communications Workshops (ICC) (pp. 738-743). IEEE 10.1109/ICCW.2013.6649331

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We describe a system for performing SLA-driven management and orchestration of distributed infrastructures composed of services supporting mobile computing use cases. In particular, we focus on a Follow-Me Cloud scenario in which we consider mobile users accessing cloud-enable services. We combine a SLA-driven approach to infrastructure optimization, with forecast-based performance degradation preventive actions and pattern detection for supporting mobile cloud infrastructure management. We present our system's information model and architecture including the algorithmic support and the proposed scenarios for system evaluation.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS)

UniBE Contributor:

Nobre Gomes, André Sérgio and Braun, Torsten

Subjects:

000 Computer science, knowledge & systems
500 Science > 510 Mathematics

ISBN:

978-1-4673-5753-1

Publisher:

IEEE

Language:

English

Submitter:

Sayed Ali Marandi

Date Deposited:

19 Mar 2014 11:37

Last Modified:

08 Aug 2017 07:38

Publisher DOI:

10.1109/ICCW.2013.6649331

Uncontrolled Keywords:

cloud computing, mobile computing, Follow-Me Cloud scenario, SLA-driven predictive orchestration, cloud-enable services, distributed cloud-based mobile services, infrastructure optimization, mobile cloud infrastructure management, mobile computing, pattern detection, Cloud computing; Engines, Mobile communication, Mobile computing, Monitoring, Optimization, Resource management

BORIS DOI:

10.7892/boris.44003

URI:

https://boris.unibe.ch/id/eprint/44003

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