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A Gossip Protocol for Dynamic Resource Management in Large Cloud Environments

Platform : DOT NET

IEEE Projects Years : 2012 - 13

A Gossip Protocol for Dynamic Resource Management in Large Cloud Environments

Abstract

—We address the problem of dynamic resource management
for a large-scale cloud environment. Our contribution
includes outlining a distributed middleware architecture and presenting
one of its key elements: a gossip protocol that (1) ensures
fair resource allocation among sites/applications, (2) dynamically
adapts the allocation to load changes and (3) scales both in
the number of physical machines and sites/applications. We
formalize the resource allocation problem as that of dynamically
maximizing the cloud utility under CPU and memory constraints.
We first present a protocol that computes an optimal solution
without considering memory constraints and prove correctness
and convergence properties. Then, we extend that protocol to
provide an efficient heuristic solution for the complete problem,
which includes minimizing the cost for adapting an allocation.
The protocol continuously executes on dynamic, local input
and does not require global synchronization, as other proposed
gossip protocols do. We evaluate the heuristic protocol through
simulation and find its performance to be well-aligned with our
design goals.
Index Terms—Cloud computing, distributed management, resource
allocation, gossip protocols.


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