Resource and Accuracy Management in Cloud Environments

The recent emergence of is making the vision of utility computing realizable, i.e., computing resources and services from a cloud can be delivered, utilized, and paid for in the same fashion as utilities like water or electricity. Current research points towards more fine-grained allocation and pricing of resources in the future. We consider streaming applications, where the data is generated by external sources. Because of the pay-as-you-go model, resource provisioning should be performed carefully, keeping resource costs to a minimum, while meeting application needs. In the first part of our work, we focus on such environments where one needs to avoid both resource under-provisioning (leading to application slowdown) and over-provisioning (leading to unnecessary resource costs). The second part of our work focuses on streaming applications which have adaptable parameters that provide flexibility in the level of computational accuracy

Autorentext

Smita Vijayakumar 201 W California Ave, Apt 1005 Sunnyvale, CA 94086. MS, Computer Science (The Ohio State University) 2008-2010 B.Tech, Computer Science (Indira Gandhi Institute of Technology) 2000-2004 IEEE Publications