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Cluster Computing

Erschienen in:

01.09.2014

Towards autonomic performance management of large scale data centers using interaction balance principle

verfasst von: Rajat Mehrotra, Sherif Abdelwahed

Erschienen in: Cluster Computing | Ausgabe 3/2014

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Abstract

In this paper, an autonomic performance management approach is introduced that can be applied to a general class of web services deployed in large scale distributed environment. The proposed approach utilizes traditional large scale control-based algorithms by using interaction balance approach in web service environment for managing the response time and the system level power consumption. This approach is developed in a generic fashion that makes it suitable for web service deployments, where web service performance can be adjusted by using a finite set of control inputs. This approach maintains the service level agreements, maximizes the revenue, and minimizes the infrastructure operating cost. Additionally, the proposed approach is fault-tolerant with respect to the failures of the computing nodes inside the distributed deployment. Moreover, the computational overhead of the proposed approach can also be managed by using appropriate value of configuration parameters during its deployment.

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Titel: Towards autonomic performance management of large scale data centers using interaction balance principle
verfasst von: Rajat Mehrotra
Sherif Abdelwahed
Publikationsdatum: 01.09.2014
Verlag: Springer US
Erschienen in: Cluster Computing / Ausgabe 3/2014
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-013-0333-0

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