Bhuvan Urgaonkar, Giovanni Pacifici, et al.
SIGMETRICS 2005
We address the problem of resource management for a large-scale cloud environment that hosts sites. Our contribution centers around outlining a distributed middleware architecture and presenting one of its key elements, a gossip protocol that meets our design goals: fairness of resource allocation with respect to hosted sites, efficient adaptation to load changes and scalability in terms of both the number of machines and sites. We formalize the resource allocation problem as that of dynamically maximizing the cloud utility under CPU and memory constraints. While we can show that an optimal solution without considering memory constraints is straightforward (but not useful), we provide an efficient heuristic solution for the complete problem instead. We evaluate the protocol through simulation and find its performance to be well-aligned with our design goals. © 2010 IEEE.
Bhuvan Urgaonkar, Giovanni Pacifici, et al.
SIGMETRICS 2005
David Loewenstern, Melissa Buco, et al.
CNSM 2010
Vita Bortnikov, Gregory Chockler, et al.
ACM SIGOPS Operating Systems Review
Fetahi Wuhib, Rolf Stadler, et al.
IEEE TNSM