Formal Specification Language Based IaaS Cloud Workload Regression Analysis

Authors :: Singh, Sukhpal
Chana, Inderveer
Source :: Presented in the IEEE International Conference on Control, Computing, Communication and Materials (ICCCCM-2013) held at UIT, Allahabad, India on August 03-04, 2013
Publication Year :: 2014
Abstract: Cloud Computing is an emerging area for accessing computing resources. In general, Cloud service providers offer services that can be clustered into three categories: SaaS, PaaS and IaaS. This paper discusses the Cloud workload analysis. The efficient Cloud workload resource mapping technique is proposed. This paper aims to provide a means of understanding and investigating IaaS Cloud workloads and the resources. In this paper, regression analysis is used to analyze the Cloud workloads and identifies the relationship between Cloud workloads and available resources. The effective organization of dynamic nature resources can be done with the help of Cloud workloads. Till Cloud workload is considered a vital talent, the Cloud resources cannot be consumed in an effective style. The proposed technique has been validated by Z Formal specification language. This approach is effective in minimizing the cost and submission burst time of Cloud workloads.<br />Comment: 6 Pages including 2 figures, Published by IEEE Joint Chapter of IE/PEL/CS under IEEE UP section

Subjects :: Computer Science - Distributed, Parallel, and Cluster Computing
97P70
J.7

Database :: arXiv
Journal :: Presented in the IEEE International Conference on Control, Computing, Communication and Materials (ICCCCM-2013) held at UIT, Allahabad, India on August 03-04, 2013
Publication Type :: Report
Accession number :: edsarx.1402.3034
Document Type :: Working Paper
Full Text :: https://doi.org/10.1109/ICCCCM.2013.6648901