Towards Energy-Efficient Scheduling with Batch Processing for Instance-Intensive Cloud Workflows

Instance-intensive workflow applications are widely used in the areas of electronic commerce, advanced manufacture, etc. However, existing studies normally do not consider the problem of reducing their energy consumption by utilizing the advantages of batch processing strategy and the characters of instance-intensive workflow applications. This paper presents an Energy-efficient Instance-intensive Cloud workflows scheduling method with Batch processing, named EICB. Technically, the method is promoted with strategies to merge several activity instances and balance resource utilization of physical machines (PMs) to improve energy efficiency for instance-intensive cloud workflows. The effectiveness and efficiency of the proposed method are validated by extensive experiments.