Resource-provision scheduling in cloud datacenter

Abstract

Abstract. Cloud computing, the long-held dream of computing as a utility, has the potential to transform a large part of the IT industry, making software even more attractive as a service and shaping the way in which hardware is designed and purchased. We review the new cloud computing technologies, and indicate the main challenges for their development in future, among which resource management problem stands out and attracts our attention. Combining the current scheduling theories, we propose cloud scheduling hierarchy to deal with different requirements of cloud services. we settle the evaluation problem for on-line schedulability tests in cloud computing. We propose a concept of test reliability to express the probability that a random task set could pass a given schedulability test. The larger the probability is, the more reliable the test is. From the aspect of system, a test with high reliability can guarantee high system utilization. From the practical aspect, we develop a simulator to model MapReduce framework. This simulator offers a simulated environment directly used by MapReduce theoretical researchers. The users of SimMapReduce only concentrate on specific research issues without getting concerned about finer implementation details for diverse service models, so that they can accelerate study progress of new cloud technologies.