2015/03/24 by Gajender Kumar, G Arun Kumar, Snehanshu Saha +6 · 1 voice
Computer Science · #Cloud Computing and Resource Management #Distributed and Parallel Computing Systems #Peer-to-Peer Network Technologies #cs.DC
paper · pdf · doi:10.48550/arxiv.1503.07038
openalex publication_date 2015/03/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The paper proposes a two player game based strategy for resource allocation in service computing domain such as cloud, grid etc. The players are modeled as demand/workflows for the resource and represent multiple types of qualitative and quantitative factors. The proposed strategy will classify them in two classes. The proposed system would forecast outcome using a priori information available and measure/estimate existing parameters such as utilization and delay in an optimal load-balanced paradigm. Keywords: Load balancing; service computing; Logistic Regression; probabilistic estimation