Extended Resource Management Using Client Classification and Economic Enhancements

Abstract

Commercialization of Grid resources will become more and more important as utility computing and the deployment of Grids gains momentum. This results in the necessity to not only base Grid components on technical aspects, but also to include economical aspects in their design. This paper presents a framework that links technical and economical aspects to the management of computational resources. Economic enhancements like dynamic pricing and client classification are introduced based on a technical resource management environment and positioned within this resulting in a proposed architecture for an Economically Enhanced Resource Manager (EERM). The introduced approach is evaluated considering various economic design criteria and example scenarios.

Maximizing revenue in Grid markets using an economically enhanced resource manager

“…Economic resource management and some of its related elements, such as client classification in Grids by applying price discrimination based on customer characteristics, have been mentioned in other papers, e.g. 5, 6. Chicco et al 7 describe data mining algorithms and tools for client classification in electricity grids, but concentrate on methods for finding groups of customers with similar behavior.…”

Using resource-level information into nonadditive negotiation models for cloud Market environments

“…So the higher is the global revenue, the higher is u rv . • o cc is an objective used for Client classification [11]. This gives preference to the local users (or users from a near organisation) over the non-related users.…”

“…3) Client classification: Client classification is performed through price discrimination [11]. The parameter CP is the Client Priority, which tends to 1 when the Client is much related to the organisation of the Provider, and tends to 0 when there is absolutely no relation between the Client and the Provider.…”