Main Reference PaperOnline Resource Scheduling under Concave Pricing for Cloud Computing, IEEE 2016 [Java/Cloudsim].
  • A randomized online stack-centric scheduling algorithm (ROSA) is proposed for allocating the maximum resource to the task with deadline consideration. A broker may help a group of customers to fully utilize the volume discount pricing strategy offered by cloud service providers through cost-efficient online resource scheduling.

+ Description
  • A randomized online stack-centric scheduling algorithm (ROSA) is proposed for allocating the maximum resource to the task with deadline consideration. A broker may help a group of customers to fully utilize the volume discount pricing strategy offered by cloud service providers through cost-efficient online resource scheduling.

  • To implement the ROSA algorithm for task scheduling

  • To minimize the resource wastage

  • To achieves a competitive ratio close to the theoretical lower bound

+ Aim & Objectives
  • To implement the ROSA algorithm for task scheduling

  • To minimize the resource wastage

  • To achieves a competitive ratio close to the theoretical lower bound

  • The deadline of the task is considered for the task scheduling, hence resource wastage at the cloud is minimized

+ Contribution
  • The deadline of the task is considered for the task scheduling, hence resource wastage at the cloud is minimized

  • 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

  • B.E / B.Tech / M.E / M.Tech

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

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