Scheduling in Hybrid Cloud to Maintain Data Privacy

Abstract

The development of cloud computing technology has<br><br>been continuously growing since its invention and has attracted<br><br>the attention of many researchers in the academia and the<br><br>industry, particularly during the recent years. The majority of<br><br>organizations, whether large corporate businesses or typical<br><br>small companies, are moving towards employing this cutting edge<br><br>technology. Using private cloud provides low cost and privacy for<br><br>workflow applications execution. However, an organization’s<br><br>requirements to high performance resources and high capacity<br><br>storage devices lead them to utilize public clouds. Public cloud<br><br>leases information technology services in the form of small units<br><br>and in larger scale compared to private cloud, but this model is<br><br>potentially exposed to the risk of data breach and is less secure in<br><br>comparison to a pure private cloud environment. The<br><br>combination of public and private clouds is known as hybrid<br><br>cloud, where workflow tasks can be executed on resources<br><br>residing on either public or private clouds. The objective of this<br><br>paper is to present a scheduling algorithm for maintaining data<br><br>privacy in workflow applications, such that the budget is<br><br>minimized, while the makespan limitation imposed by the user is<br><br>satisfied.