A Stochastic Reward Nets (SRNs) Model to Investigate Data Center Performance and QoS in IaaS Cloud Computing Systems

Sripada Rajinish; Barkat Amirali Jiwani

A Stochastic Reward Nets (SRNs) Model to Investigate Data Center Performance and QoS in IaaS Cloud Computing Systems

Authors: Sripada Rajinish, Barkat Amirali Jiwani

Unique Paper ID: 144982
Volume: 4
Issue: 6
PageNo: 301-306

Keywords: Performance evaluation Cost-benefit Quality of service Cloud-specific Resiliency analysis

Abstract:
Cloud data center management is a key problem due to the numerous and heterogeneous strategies that can be applied, ranging from the VM placement to the federation with other clouds. Performance evaluation of Cloud Computing infrastructures is required to predict and quantify the cost-benefit of a strategy portfolio and the corresponding Quality of Service (QoS) experienced by users. Such analyses are not feasible by simulation or on-the-field experimentation, due to the great number of parameters that have to be investigated. In this paper, we present an analytical model, based on Stochastic Reward Nets (SRNs), that is both scalable to model systems composed of thousands of resources and flexible to represent different policies and cloud-specific strategies. Several performance metrics are defined and evaluated to analyze the behavior of a Cloud data center: utilization, availability, waiting time, and responsiveness. A resiliency analysis is also provided to take into account load bursts. Finally, a general approach is presented that, starting from the concept of system capacity, can help system managers to opportunely set the data center parameters under different working conditions.

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Cite This Article

ISSN: 2349-6002
Volume: 4
Issue: 6
PageNo: 301-306

A Stochastic Reward Nets (SRNs) Model to Investigate Data Center Performance and QoS in IaaS Cloud Computing Systems

Available:https://ijirt.org/Article?manuscript=144982

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