EHEROS: Energy Aware Load Balancing in Green Cloud using Heterogeneous Data Centers

Now a days, data center’s energy consumption accounts for a significantly large piece of operational expenditure that are used as backend computing communications for cloud computing. Heterogeneous architecture have developed into more popular and large spread in the modern years with growing recognition of general idea processing on graphics processing units , low power systems on a chip. The design and execution of cloud computing data centers must adjust to these changes although targeting intention of improving system performance, energy efficiency and consistency. This paper presents load balancing algorithm for energy efficient resource allocation in heterogeneous system. EHEROS takes into explanation the heterogeneity of a system through decision making procedure. Servers have resources of many types (computing, memory, storage and networking) and these resources need to be optimized efficiently in heterogeneous environment.