Improving Management of Distributed Services Using Correlations and Predictions in SLA-Driven Cloud Computing Systems

Antonescu, Alexandru-Florian; Braun, Torsten (5 May 2014). Improving Management of Distributed Services Using Correlations and Predictions in SLA-Driven Cloud Computing Systems. In: IEEE/IFIP Network Operations and Management Symposium (NOMS 2014) (pp. 1-8). IEEE 10.1109/NOMS.2014.6838320

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Recent advancements in cloud computing have enabled the proliferation of distributed applications, which require management and control of multiple services. However, without an efficient mechanism for scaling services in response to changing environmental conditions and number of users, application performance might suffer, leading to Service Level Agreement (SLA) violations and inefficient use of hardware resources. We introduce a system for controlling the complexity of scaling applications composed of multiple services using mechanisms based on fulfillment of SLAs. We present how service monitoring information can be used in conjunction with service level objectives, predictions, and correlations between performance indicators for optimizing the allocation of services belonging to distributed applications. We validate our models using experiments and simulations involving a distributed enterprise information system. We show how discovering correlations between application performance indicators can be used as a basis for creating refined service level objectives, which can then be used for scaling the application and improving the overall application's performance under similar conditions.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

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

UniBE Contributor:

Braun, Torsten

Subjects:

000 Computer science, knowledge & systems

Publisher:

IEEE

Language:

English

Submitter:

Dimitrios Xenakis

Date Deposited:

02 Apr 2014 12:03

Last Modified:

05 Dec 2022 14:27

Publisher DOI:

10.1109/NOMS.2014.6838320

BORIS DOI:

10.7892/boris.40256

URI:

https://boris.unibe.ch/id/eprint/40256

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