Efficient Parallel Processing System On Cloud With Dynamic Resource Allocation And Green Computing
Resource allocation is a crucial in cloud computing, we consider the problem of dynamic resource management
for a large-scale cloud environment. Automated resource management system achieves good balance on overload avoidance
and green computing. This includes outlining distributed middleware architecture and presenting one of its key elements a
Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Environment which ensures fair resource
allocation among sites/applications and dynamically adapts the allocation to load changes, Scales both in the number of
physical machines and sites/applications. As an enhancement Green Computing is achieved using sever spot detection
technique and shutdown process decision are made using prediction algorithm and skewness algorithm.