Enhancement of job allocation in private Cloud by distributed processing

  • Authors:
  • Soumen Kanrar

  • Affiliations:
  • Vehere Interactive Pvt Ltd, Calcutta, West Bengal, India

  • Venue:
  • Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
  • Year:
  • 2012

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Abstract

Cloud computing is a distributed computation, which delivers hosted services over the internet to provide easy access to multiple services. The main focus area of the Cloud computing is related to the next generation data centers and enables application. The service providers to lease data center capabilities for deploying applications depending on user quality of service requirements. Cloud applications have different composition, configuration, and deployment requirements. Cloud computing is a model for enabling ubiquitous, convenient, on demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. This paper focus on the efficiently jobs handling by Markovian M/M/n and M/M/c/N queuing model by means of distributed computing and resource handling by non preemptive task scheduling. This paper presents the various simulation results with respect to private cloud by the distributed jobs processing for the large and complex network architecture.