Main Reference PaperTask-Based System Load Balancing in Cloud Computing Using Particle Swarm Optimization, Int J Parallel Prog ,2014.
  • This work extends the cloud simulator (Cloudsim) package and uses PSO as its task scheduling model. The simulation results show that the proposed TBSLB-PSO method significantly reduces the time taken for the load balancing process compared to traditional load balancing approaches. Furthermore,in this approach the overloaded VMs will not be paused during the migration process, and there is no need to use the VM pre-copy process. Therefore, the TBSLB-PSO method will eliminate VM downtime and the risk of losing the last activity performed by a customer, and will increase the Quality of Service experienced by cloud customers.

+ Description
  • This work extends the cloud simulator (Cloudsim) package and uses PSO as its task scheduling model. The simulation results show that the proposed TBSLB-PSO method significantly reduces the time taken for the load balancing process compared to traditional load balancing approaches. Furthermore,in this approach the overloaded VMs will not be paused during the migration process, and there is no need to use the VM pre-copy process. Therefore, the TBSLB-PSO method will eliminate VM downtime and the risk of losing the last activity performed by a customer, and will increase the Quality of Service experienced by cloud customers.

  • To provide the system load balancing with optimization

  • To minimize the execution time and transfer time of task

  • To reduce the energy consumption.

+ Aim & Objectives
  • To provide the system load balancing with optimization

  • To minimize the execution time and transfer time of task

  • To reduce the energy consumption.

  • Migration time reduction – The set of migratable tasks mapping on host VMs in terms of task group to reduce the data transfer time. The set of migratable tasks combines as a one group with task similarity. Host VM selection depends on the task group capabilities. VM has some constraints to select as a host VM from the above procedure. Migratable task group also considers all the satisfying constraints as set of tasks to select host VM. In addition, VM has the capability to execute the task group on one VM not set of tasks execution onVMs set.

+ Contribution
  • Migration time reduction – The set of migratable tasks mapping on host VMs in terms of task group to reduce the data transfer time. The set of migratable tasks combines as a one group with task similarity. Host VM selection depends on the task group capabilities. VM has some constraints to select as a host VM from the above procedure. Migratable task group also considers all the satisfying constraints as set of tasks to select host VM. In addition, VM has the capability to execute the task group on one VM not set of tasks execution onVMs set.

  • Java JDK 1.8, MySQL

  • Netbeans 8.0.1, J2SE, (Cloudsim).

+ Software Tools & Technologies
  • Java JDK 1.8, MySQL

  • Netbeans 8.0.1, J2SE, (Cloudsim).

  • B.E / B.Tech / M.E / M.Tech

+ Project Recommended For
  • B.E / B.Tech / M.E / M.Tech

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.