Cost Minimization in Data Batch Processing.

In today's world, data communication and execution- whether online or offline- became essential in all business fields. Considering the case of offline execution, data files are collected in groups called input batches and processed using available resources to get the required aggregated output in the form of "output batch", this process is called Data Batching. In most applications of batch processing, the target is to execute required tasks within specified time frame while fulfilling all predecessors' requirements and constraints set by the client using minimum resources. The data batch process terms and conditions are stated in the contract between service provider and the client - Known as Service Level Agreement (SLA). In this work we present an algorithm to minimize the total cost of data batch processing. [ABSTRACT FROM AUTHOR]