Main Reference PaperCost-effective Resource Provisioning for MapReduce in a Cloud, IEEE Transactions on Parallel and Distributed Systems, May 2015.
  • The growing trend in cloud computing is the combination of Big Data and Big Data analytics that has been driven with rapid evolution of data center technologies towards more cost-effective solutions. The most popular approach is using MapReduce for big data analytics. This project presents a cost-effective resource management framework called Cura that aim to minimize the infrastructure cost in the datacenter

+ Description
  • The growing trend in cloud computing is the combination of Big Data and Big Data analytics that has been driven with rapid evolution of data center technologies towards more cost-effective solutions. The most popular approach is using MapReduce for big data analytics. This project presents a cost-effective resource management framework called Cura that aim to minimize the infrastructure cost in the datacenter

  • To minimize the infrastructure cost

  • To minimize the number of servers required to handle the data center workload

  • Depending upon deadlines for the jobs, VM aware scheduler needs to make future reservations.

+ Aim & Objectives
  • To minimize the infrastructure cost

  • To minimize the number of servers required to handle the data center workload

  • Depending upon deadlines for the jobs, VM aware scheduler needs to make future reservations.

  • The cluster configuration for the jobs which uses MapReduce profile are automatically created by Cura and leverages the deadlines by delaying the execution of certain jobs and allows cloud providers to optimize its global resource allocation. Also, Cura uses a unique secure VM allocation that ensures fast response time. The resource management techniques include cost-aware resource provisioning,VM aware scheduling and online virtual machine reconfiguration.

+ Contribution
  • The cluster configuration for the jobs which uses MapReduce profile are automatically created by Cura and leverages the deadlines by delaying the execution of certain jobs and allows cloud providers to optimize its global resource allocation. Also, Cura uses a unique secure VM allocation that ensures fast response time. The resource management techniques include cost-aware resource provisioning,VM aware scheduling and online virtual machine reconfiguration.

  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1 and J2SE, Cloudsim 3.0.3

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

  • Netbeans 8.0.1 and J2SE, Cloudsim 3.0.3

  • B.E / B.Tech / M.E / M.Tech

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

  • 10 – 15 Days

+ Order To Delivery
  • 10 – 15 Days

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.