Enhanced Scheduling Approach Using Heuristics Flow Equilibrium Based Load Balancing Algorithm In Cloud

Scheduling based on load balancing is a very big riddle in Cloud computing. Various techniques are available to optimize cloud scheduling so as to effectively utilize the cloud resources and thereby improving the response time of the users. Users on request for resources to execute their job, providers either allocate them a new Virtual Machine (VM) or an ideal existing Virtual Machine or schedule accordingly. Response time varies based on the distribution of load to the VMs. Though the load sharing is balanced statically, there may be unavoidable circumstances dynamically due to which load distribution becomes uneven. Many existing technologies are available to balance the load among the VMs, but still there are drawbacks and hence it is still in research. This paper proposes Heuristic Flow Equilibrium based Load Balancing (HFEL) algorithm to improve scheduling in the Cloud. HFEL algorithm would reduce the latency, reduce the response time and increase the throughput than compared to the existing systems