OPTIMIZATION OF COMPUTATIONAL TASK ALLOCATION IN CLOUD DATA CENTERS USING TRANSPORTATION PROBLEM

Abstract

In the modern digital economy, cloud computing is ever important in providing scalable and effective computing services. Deployment of computational tasks among geographically dispersed data centres is considered as one of the most important problems of cloud infrastructure operation. This challenge can be well addressed with the help of transportation problem which is a well-known optimization model in operations research. This paper reveals the role of the transportation model in reducing the overall cost, wait time, or the energy required to provide some jobs (tasks) to servers (data centers). The model takes into account the capacity of individual data centers as well as costs tied to the assignment of different jobs of each kind to locations. An example is provided in terms of numbers of how cloud service providers can enhance the efficiency and sustainability of their operations by ensuring proper distribution of workload.