Towards distributed, fair, and deadline-driven resource allocation for Cloudlets

Report ID: 
2019-07
Authors: 
Stratos Dimopoulos, Chandra Krintz, Rich Wolski
Date: 
2019-08-01 00:00:00

Abstract

In this paper we present our vision for a two-level, distributed re- source allocator that preserves fairness and satisfies deadlines of low latency workloads in a multi-cloudlet environment with offloading support. We analyze the opportunities and challenges that offloading and the multi-cloud environment impose and we suggest the changes required to a fair-preserving and deadline-driven resource allocator originally designed for resource-constrained environments.

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