Towards distributed, fair, deadline-driven resource allocation for cloudlets

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Abstract

In this paper we present our vision for a two-level, distributed resource 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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APA

Dimopoulos, S., Krintz, C., & Wolski, R. (2019). Towards distributed, fair, deadline-driven resource allocation for cloudlets. In MECC 2019 - Proceedings of the 2019 4th Workshop on Middleware for Edge Clouds and Cloudlets, Part of Middleware 2019 (pp. 7–9). Association for Computing Machinery, Inc. https://doi.org/10.1145/3366614.3368102

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