Adaptive Resource Provisioning for the Cloud Using Online Bin Packing

TLDR

Data center applications offer opportunities for multiplexing server resources, and virtualization enables easy migration of running applications across physical machines. The paper proposes a dynamic resource allocation approach that uses virtualization to match application demands and reduce active servers for green computing. The authors model the problem as a relaxed online bin‑packing variant and implement an efficient algorithm that adjusts VM resources within and across physical servers. Simulations and experiments show that the system outperforms existing approaches in performance.

Abstract

Data center applications present significant opportunities for multiplexing server resources. Virtualization technology makes it easy to move running application across physical machines. In this paper, we present an approach that uses virtualization technology to allocate data center resources dynamically based on application demands and support green computing by optimizing the number of servers actively used. We abstract this as a variant of the relaxed on-line bin packing problem and develop a practical, efficient algorithm that works well in a real system. We adjust the resources available to each VM both within and across physical servers. Extensive simulation and experiment results demonstrate that our system achieves good performance compared to the existing work.