Minimizing Execution Costs when Using Globally Distributed Cloud Services

Cloud computing is an emerging technology that allows users to utilize on-demand computation, storage, data and services from around the world. However, Cloud service providers charge users for these services. Specifically, to access data from their globally distributed storage edge servers, providers charge users depending on the user’s location and the amount of data transferred. When deploying data-intensive applications in a Cloud computing environment, optimizing the cost of transferring data to and from these edge servers is a priority, as data play the dominant role in the application’s execution. In this paper, we formulate a non-linear programming model to minimize the data retrieval and execution cost of data-intensive workflows in Clouds. Our model retrieves data from Cloud storage resources such that the amount of data transferred is inversely proportional to the communication cost. We take an example of an ‘intrusion detection’ application workflow, where the d...

• Type: Conference
• Year: 2010
• Where: AINA
• Authors: Suraj Pandey, Adam Barker, Kapil Kumar Gupta, Rajkumar Buyya
• Keywords: AINA 2010, Cloud, Cloud Computing, Computer Networks, Providers Charge Users