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Resource Allocation in Cloud

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Abstract: A cloud environment is the popular shareable computing environments where large number of clients/users are connected to the common cloud computing environment to access the resources and the services. The presented work is focused on the concept of effective resource allocation, de-allocation and reallocation in a cloud environment. To present the concept, we have taken a cloud environment with multiple clouds along with multiple virtual machines. All the machines are homogenous. These all clouds are assigned by a specific priority. Now as the user request arrive, it performs the request to the priority cloud under its requirements in terms of memory & processor capabilities. When the client stops the task then the service allocated to the client is released & same can be reallocated to another client in the waiting. We can also some migration work so that if a cloud is under utilize then its services are migrated to nearest cloud having sufficient utilization. Hence the work provides efficient allocation, de-allocation and reallocation of cloud services with minimum need for migration of service from one cloud to another. Keywords: Resource Allocation, Resource Scheduling, Resource Migration
International Journal for Research in Applied Science and Engineering Technology (IJRASET)
Title: Resource Allocation in Cloud
Description:
Abstract: A cloud environment is the popular shareable computing environments where large number of clients/users are connected to the common cloud computing environment to access the resources and the services.
The presented work is focused on the concept of effective resource allocation, de-allocation and reallocation in a cloud environment.
To present the concept, we have taken a cloud environment with multiple clouds along with multiple virtual machines.
All the machines are homogenous.
These all clouds are assigned by a specific priority.
Now as the user request arrive, it performs the request to the priority cloud under its requirements in terms of memory & processor capabilities.
When the client stops the task then the service allocated to the client is released & same can be reallocated to another client in the waiting.
We can also some migration work so that if a cloud is under utilize then its services are migrated to nearest cloud having sufficient utilization.
Hence the work provides efficient allocation, de-allocation and reallocation of cloud services with minimum need for migration of service from one cloud to another.
Keywords: Resource Allocation, Resource Scheduling, Resource Migration.

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