Main Reference PaperDynamic Tasks Scheduling Based on Weighted Bi-graph in Mobile Cloud Computing, Sustainable Computing Informatics & Systems, 2018, [Java/CloudSim].
  • This project proposes a Dynamic Tasks Scheduling algorithm based on Weighted Bi-graph model (DTSWB), which takes the dynamics of both tasks and providers into consideration. Specially, the scheduling problem is translated to be a maximum weighted bi-graph matching problem, and an integer programming model is formulated. Then, the matching problem is solved by DTSWB, which mainly consists of four steps: state information collection of offloaded tasks and service providers, mapping relationship establishment, profit matrix determination and optimal matching based on Kuhn Munkras (KM). At last, the effectiveness and validity of the proposed algorithm are verified by a series of simulations.

Description
  • This project proposes a Dynamic Tasks Scheduling algorithm based on Weighted Bi-graph model (DTSWB), which takes the dynamics of both tasks and providers into consideration. Specially, the scheduling problem is translated to be a maximum weighted bi-graph matching problem, and an integer programming model is formulated. Then, the matching problem is solved by DTSWB, which mainly consists of four steps: state information collection of offloaded tasks and service providers, mapping relationship establishment, profit matrix determination and optimal matching based on Kuhn Munkras (KM). At last, the effectiveness and validity of the proposed algorithm are verified by a series of simulations.

  • To achieve better performance verify the effectiveness and validity of the proposed scheduling algorithm.

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Aim & Objectives
  • To achieve better performance verify the effectiveness and validity of the proposed scheduling algorithm.

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  • The different types and execution order of the tasks should be taken into account for more achievement in performance.

Contribution
  • The different types and execution order of the tasks should be taken into account for more achievement in performance.

  • 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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