Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Framework for Dynamic Resource Allocation and Efficient Scheduling strategies to enable Cloud for HPC Platforms

Author : Tavhare K.S 1 Kambale B.S. 2 Hule K.A. 3 Raut Anuradha 4

Date of Publication :29th March 2018

Abstract: Resource Scheduling and allocation is extremely important issue in cloud computing. Any computation is applied once there's ample or proportionate resources obtainable. Services square measure provided to the shoppers or finish users with the correct analysis of resources. Infrastructure as a service in cloud grabs a lot of attention in Cloud computing. To utilize resources a lot of with efficiency Associate in Nursing optimized programming rule is employed to deal with cloud programming issues. By deploying virtual machines in acceptable locations to boost the speed of locating best allocation methodology that intern allow most utilization of resources obtainable. The programming resources to beat unbalance in assignment drawback, during this parallel genetic rule idea is employed that is far quicker than ancient genetic rule Cloud computing plays an important role may be a model for sanctionative omnipresent network access to a shared pool of configurable computing resources. Any cloud provides services chiefly 3 ways code as a service (SaaS), platform as a service (PaaS) and infrastructure as a service (IaaS)

Reference :

    1. Atsuo Inomata, TaikiMorikawa, Minoru Ikebe, Sk.Md. MizanurRahman: Proposal and Evaluation of Dynamic Resource Allocation Method Based on the Load of VMs on IaaS (IEEE, 2010), 978-1-4244-8704-2/11.
    2. “Adaptive Management of Virtualized Resources in Cloud Computing Using Feedback Control,” in First International Conference on Information Science and Engineering, April 2010, pp. 99-102.
    3. Buyya, R., Yeo, C. S., & Venugopal, S. (2008). Market-oriented cloud computing: Vision, hype, and reality for delivering I services as computing utilities. In HPCC '08: Proceedings of the2008
    4. 10th IEEE International Conference on High Performance Computing and Communications (pp. 5{13). Washington, DC.

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