Enhancement of job allocation in private Cloud by distributed processing

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.

[1]  Soumen Kanrar,et al.  Performance of Multirate Multicast in Distributed Network , 2010, Int. J. Commun. Netw. Syst. Sci..

[2]  Richard Wolski,et al.  The Eucalyptus Open-Source Cloud-Computing System , 2009, 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid.

[3]  Mohamed Helmy Khafagy,et al.  OCSS: Ontology Cloud Storage System , 2011, 2011 First International Symposium on Network Cloud Computing and Applications.

[4]  Hongqi Li,et al.  Research on Distributed Architecture Based on SOA , 2009, 2009 International Conference on Communication Software and Networks.

[5]  Xu Lei,et al.  Cloud computing and services platform construction of telecom operator , 2009, 2009 2nd IEEE International Conference on Broadband Network & Multimedia Technology.

[6]  Meina Song,et al.  A Cloud Computing Platform Based on P2P , 2009, 2009 IEEE International Symposium on IT in Medicine & Education.

[7]  Borja Sotomayor,et al.  Virtual Infrastructure Management in Private and Hybrid Clouds , 2009, IEEE Internet Computing.

[8]  Randy H. Katz,et al.  A view of cloud computing , 2010, CACM.

[9]  Randy H. Katz,et al.  Above the Clouds: A Berkeley View of Cloud Computing , 2009 .

[10]  Harry G. Perros,et al.  Service Performance and Analysis in Cloud Computing , 2009, 2009 Congress on Services - I.

[11]  Soumen Kanrar,et al.  Efficient Traffic Control of VoD System , 2011, ArXiv.

[12]  Soumen Kanrar,et al.  Performance of distributed video on demand system for multirate traffic , 2011, 2011 International Conference on Recent Trends in Information Systems.