Resource pools are collections of computational resources which can be shared by different applications. The goal with that is to accommodate the workload of each application, by splitting the total amount of resources in the pool among them. In this sense, utility functions have been pointed as the main tool for enabling self-optimizing behaviour in such pools. The goal with that is to allow resources from the pool to be split among applications, in a way that the best outcome is obtained. Whereas different solutions in this context exist, it has been found that none of them tackles the problem we deal with in a total decentralized way. In this paper, we then present a decentralized and self-optimizing approach for resource management in shared resource pools.
|Title of host publication||Intelligent Networking, Collaborative Systems and Applications|
|Editors||Santi Caballé, Fatos Xhafa, Ajith Abraham|
|Number of pages||22|
|Publication status||Published - 2011|
Loureiro, E., Nixon, P., & Dobson, S. (2011). Decentralized Self-optimization in Shared Resource Pools. In S. Caballé, F. Xhafa, & A. Abraham (Eds.), Intelligent Networking, Collaborative Systems and Applications (pp. 149-170). Springer. https://doi.org/10.1007/978-3-642-16793-5_7