Main Reference PaperTowards Efficient Resource Allocation for Heterogeneous Workloads in IaaS Clouds, IEEE Transactions on Cloud Computing, 2018[Java/CloudSim]
  • The homogeneous resource allocation mechanisms cause resource starvation where dominant resources are starving while non-dominant resources are wasted. To overcome this issue, we propose a heterogeneous resource allocation approach, called skewness-avoidance multi-resource allocation (SAMR), to allocate resource according to the diversified requirements of different types of resources. Our solution includes a VM allocation algorithm to ensure heterogeneous workloads are allocated appropriately to avoid skewed resource utilization in PMs, and a model-based approach to estimate the appropriate number of active PMs to operate SAMR.

Description
  • The homogeneous resource allocation mechanisms cause resource starvation where dominant resources are starving while non-dominant resources are wasted. To overcome this issue, we propose a heterogeneous resource allocation approach, called skewness-avoidance multi-resource allocation (SAMR), to allocate resource according to the diversified requirements of different types of resources. Our solution includes a VM allocation algorithm to ensure heterogeneous workloads are allocated appropriately to avoid skewed resource utilization in PMs, and a model-based approach to estimate the appropriate number of active PMs to operate SAMR.

  • To reduce the active PMs in the data center on average compared with single-dimensional and multi-resource schemes.

Aim & Objectives
  • To reduce the active PMs in the data center on average compared with single-dimensional and multi-resource schemes.

  • Reducing the monetary costs for users in IaaS clouds and wastage in computing resources for cloud system is considered.

Contribution
  • Reducing the monetary costs for users in IaaS clouds and wastage in computing resources for cloud system is considered.

  • 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.

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

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