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Cloud computing enables shared servers to provide resources, software and data for collaborative services on demand with high interoperability and scalability. However, there are a number of technical challenges that need to be tackled before these benefits can be fully realized, which include system reliability, resource provisioning, and efficient resources consuming, etc. Among them, load-balancing is a necessary mechanism to increase the service level agreement (SLA) and better uses of the resources. Unfortunately, servers' capability varies much in practice and is not easy to record in ordered positions in a server farm, which will causes non resource-aware load-balancing algorithms to distribute workloads evenly. We discuss this issue and show why such algorithms don't fit the cloud computing environment and then present a feasible resource-aware load balancing mechanism by using existing proven technologies to meet higher SLA and the return of investment as well.
Lee et al. (Sat,) studied this question.