Efficient Redundancy Techniques in Cloud and Desktop Grid Systems using MAP/G/c-type Queues

Efficient Redundancy Techniques in Cloud and Desktop Grid Systems using MAP/G/c-type Queues AbstractCloud computing is continuing to prove its flexibility and versatility in helping industries and businesses as well as academia as a way of providing needed computing capacity. As an important alternative to cloud computing, desktop grids allow to utilize the idle computer resources of an enterprise/community by means of distributed computing system, providing a more secure and controllable environment with lower operational expenses. Further, both cloud computing and desktop grids are meant to optimize limited resources and at the same time to decrease the expected latency for users. The crucial parameter for optimization both in cloud computing and in desktop grids is the level of redundancy (replication) for service requests/workunits. In this paper we study the optimal replication policies by considering three variations of Fork-Join systems in the context of a multi-server queueing system with a versatile point process for the arrivals. For services we consider phase type distributions as well as shifted exponential and Weibull. We use both analytical and simulation approach in our analysis and report some interesting qualitative results. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Open Engineering de Gruyter

Efficient Redundancy Techniques in Cloud and Desktop Grid Systems using MAP/G/c-type Queues

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Publisher
de Gruyter
Copyright
© 2018 Srinivas R. Chakravarthy and Alexander Rumyantsev
ISSN
2391-5439
eISSN
2391-5439
D.O.I.
10.1515/eng-2018-0004
Publisher site
See Article on Publisher Site

Abstract

AbstractCloud computing is continuing to prove its flexibility and versatility in helping industries and businesses as well as academia as a way of providing needed computing capacity. As an important alternative to cloud computing, desktop grids allow to utilize the idle computer resources of an enterprise/community by means of distributed computing system, providing a more secure and controllable environment with lower operational expenses. Further, both cloud computing and desktop grids are meant to optimize limited resources and at the same time to decrease the expected latency for users. The crucial parameter for optimization both in cloud computing and in desktop grids is the level of redundancy (replication) for service requests/workunits. In this paper we study the optimal replication policies by considering three variations of Fork-Join systems in the context of a multi-server queueing system with a versatile point process for the arrivals. For services we consider phase type distributions as well as shifted exponential and Weibull. We use both analytical and simulation approach in our analysis and report some interesting qualitative results.

Journal

Open Engineeringde Gruyter

Published: Mar 3, 2018

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