Main Reference PaperResource Allocation in Cloud Computing Using the Uncertainty Principle of Game Theory, IEEE SYSTEMS JOURNAL, 2014
  • This work proposes a resource allocation mechanism for machines on the cloud, based on the principles of coalition formation and the uncertainty principle of game theory. This study demonsrates that the proposed method of resource allocation by coalition-formation of the machines on the cloud leads to better resource utilization and also higher request satisfaction.

+ Description
  • This work proposes a resource allocation mechanism for machines on the cloud, based on the principles of coalition formation and the uncertainty principle of game theory. This study demonsrates that the proposed method of resource allocation by coalition-formation of the machines on the cloud leads to better resource utilization and also higher request satisfaction.

  • To form the coalition of physical server to execute the task with minimum resource wastage

  • To lower the execution time of the task

  • To avoid the overloading of VMs

+ Aim & Objectives
  • To form the coalition of physical server to execute the task with minimum resource wastage

  • To lower the execution time of the task

  • To avoid the overloading of VMs

  • Task length and VM Mips is considered for the resource allocation for effective scheduling result in cloud computing.

+ Contribution
  • Task length and VM Mips is considered for the resource allocation for effective scheduling result in cloud computing.

  • Java JDK 1.8, MySQL 5.5.40.

  • Netbeans 8.0.1, J2SE and Cloudsim 3.0.3

+ Software Tools & Technologies
  • Java JDK 1.8, MySQL 5.5.40.

  • Netbeans 8.0.1, J2SE and Cloudsim 3.0.3

  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

+ Project Recommended For
  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-Depending on the complexity of the project and requirements.

+ Order To Delivery
  • No Readymade Projects-Depending on the complexity of the project and requirements.

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