Main Reference PaperAn optimization of virtual machine selection and placement by using memory content similarity for server consolidation in the cloud, Future Generation Computer Systems, 2018 [Java/CloudSim].
  • This project redefines the VM selection problem and VM placement problem into one problem. The selection of migrating VMs and the destination of these migrated VMs are determined at the same time. Given a fixed host overload threshold, an approximation algorithm for this problem is proposed with one overloaded host and one destination host. Then, in the case of multiple overloaded hosts and destination hosts, two heuristic algorithms are presented based on the approximation algorithm with fixed and dynamic host overloading thresholds, respectively. The evaluation results show that our algorithm produces less amount of transferred VM memory pages and consume less energy PABFD combining with RS, MC, and MMT.

+ Description
  • This project redefines the VM selection problem and VM placement problem into one problem. The selection of migrating VMs and the destination of these migrated VMs are determined at the same time. Given a fixed host overload threshold, an approximation algorithm for this problem is proposed with one overloaded host and one destination host. Then, in the case of multiple overloaded hosts and destination hosts, two heuristic algorithms are presented based on the approximation algorithm with fixed and dynamic host overloading thresholds, respectively. The evaluation results show that our algorithm produces less amount of transferred VM memory pages and consume less energy PABFD combining with RS, MC, and MMT.

  • To reduce the energy consumption in a data center.

  • To minimize the transferred VM memory data in VM migrations of server consolidation.

+ Aim & Objectives
  • To reduce the energy consumption in a data center.

  • To minimize the transferred VM memory data in VM migrations of server consolidation.

  • To further reduce the energy consumption and SLAV, consider a bi-objective problem and solve it by adopting the multi-objective optimization approaches.

+ Contribution
  • To further reduce the energy consumption and SLAV, consider a bi-objective problem and solve it by adopting the multi-objective optimization approaches.

  • Java Development Kit 1.8.0, MySQL 5.5.40, Cloudsim-4.0 with Extension

  • Netbeans8.0.1, J2SE.

+ Software Tools & Technologies
  • Java Development Kit 1.8.0, MySQL 5.5.40, Cloudsim-4.0 with Extension

  • Netbeans8.0.1, J2SE.

  • 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-project delivery Depending on the complexity of the project and requirements.

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

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.

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