Resource provisioning with budget constraints for adaptive applications in cloud environments

The recent emergence of clouds is making the vision of utility computing realizable, i.e. computing resources and services can be delivered, utilized, and paid for as utilities such as water or electricity. This, however, creates new resource provisioning problems. Because of the pay-as-you-go model, resource provisioning should be performed carefully, keeping resource costs to a minimum, while meeting an application's needs. In this work, we focus on the use of cloud resources for a class of adaptive applications, where there could be application-specific flexibility in the computation that may be desired. Furthermore, there may be a fixed time-limit as well as a resource budget. Within these constraints, such adaptive applications need to maximize their Quality of Service (QoS), more precisely, the value of an application-specific benefit function, by dynamically changing adaptive parameters. We present the design, implementation, and evaluation of a framework that can support ...

• Type: Conference
• Year: 2010
• Where: HPDC
• Authors: Qian Zhu, Gagan Agrawal
• Keywords: Adaptive Applications, Distributed And Parallel Computing, HPDC 2010, Resource, Resource Provisioning Problems