Cost Effective Cloud Environment Setup to Secure Corporate Data

In recent years, ad-hoc parallel processing has emerged to be one among the killer applications for Infrastructure-as-a-Service (IaaS) clouds. Major Cloud computing firms have began to integrate frameworks for parallel processing in their product portfolio, creating it simple for purchasers to acces...

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Bibliographic Details
Published inInternational journal on computer science and engineering Vol. 5; no. 12; p. 949
Main Authors Sawant, Ashwini Prakash, Vanjale, Sandeep, Vanjale, Mousami
Format Journal Article
LanguageEnglish
Published 01.12.2013
Subjects
Cloud computing
Clusters
Computation
Data processing
Economics
Parallel processing
Programming
Tasks
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Summary:In recent years, ad-hoc parallel processing has emerged to be one among the killer applications for Infrastructure-as-a-Service (IaaS) clouds. Major Cloud computing firms have began to integrate frameworks for parallel processing in their product portfolio, creating it simple for purchasers to access these services and to deploy their programs. However, the process frameworks that area unit presently used are designed for static, consistent cluster setups and disrespect the actual nature of a cloud. In this paper, the authors tend to discuss the opportunities and challenges for economical parallel processing in clouds and present their research HPSSD. HPSSD is the data processing framework to overtly utilize the dynamic resource portion presented by today's IaaS clouds for each with hacker protection, task programming and execution. Specific tasks of a process job are often assigned to differing types of virtual machines that are mechanically instantiated and terminated throughout the task execution.
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ISSN:0975-3397