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Browsing Articles by Author "Parthiban, Rajendran"

Browsing Articles by Author "Parthiban, Rajendran"

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  • A Comparative Economic Approach to Maximize Profit for Providers in Grid Computing 
    Haque, Aminul; Alhashmi, Saadat; Parthiban, Rajendran (International Business Information Management Association (IBIMA), 2010-06-24)
    Grid computing is a technology that shares computational power (such as storage, CPU and memory) from distributed sites across the globe. Due to the heterogeneity and various owners of these resources, a seamless collaboration ...
  • Identifying and Modeling the Strengths and Weaknesses of Major Economic Models in Grid Resource Management 
    Haque, Aminul; Alhashmi, Saadat M.; Parthiban, Rajendran (Springer, 2014-01-17)
    Economic-based approaches have been found to be effective for distributed resource management in Grid computing. However, deciding which model to use is challenging, because (1) the performance stability of a particular ...
  • Ontology-based decentralized resource provisioning in economic grids 
    Shaikh, Abdul Khalique; Haque, Aminul; Alhashmi, Saadat M.; Parthiban, Rajendran (Elsevier, 2013-03-26)
    A system that aggregates distributed and heterogeneous resources to solve computationally complex applications is known as Grid computing. One of the major challenges that current Grid systems are facing is the low resource ...
  • An optimization-based adaptive resource management framework for economic Grids: A switching mechanism 
    Haque, Aminul; Alhashmi, Saadat M.; Parthiban, Rajendran (Elsevier, 2014-10-23)
    The application of Grid computing has been broadening day by day. An increasing number of users has led to the requirement of a job scheduling process, which can benefit them through optimizing their utility functions. On ...
  • A survey of economic models in grid computing 
    Haque, Aminul; Alhashmi, Saadat M.; Parthiban, Rajendran (Elsevier, 2011-04-16)
    Grid computing offers the network of large scale computing resources. Economic models are effective in collaborating large scale heterogeneous grid resources that are typically owned by different organizations. Not all the ...

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