EdgeMatrix: A Resource-Redefined Scheduling Framework for SLA-Guaranteed Multi-Tier Edge-Cloud Computing Systems
Shihao Shen, Yuanming Ren, Yanli Ju, Xiaofei Wang, Wenyu Wang, Victor, C. M. Leung

TL;DR
EdgeMatrix is a multi-tier edge-cloud framework that enhances throughput and SLA guarantees by redefining resources with a novel multi-agent algorithm and efficient request dispatching.
Contribution
It introduces the NMAC algorithm for resource redefinition and a multi-task mechanism for joint service orchestration and request dispatching in edge-cloud systems.
Findings
36.7% throughput improvement over baseline
SLA priorities are effectively guaranteed
Reduces optimization runtime significantly
Abstract
With the development of networking technology, the computing system has evolved towards the multi-tier paradigm gradually. However, challenges, such as multi-resource heterogeneity of devices, resource competition of services, and networked system dynamics, make it difficult to guarantee service-level agreement (SLA) for the applications. In this paper, we propose a multi-tier edge-cloud computing framework, EdgeMatrix, to maximize the throughput of the system while guaranteeing different SLA priorities. First, in order to reduce the impact of physical resource heterogeneity, EdgeMatrix introduces the Networked Multi-agent Actor-Critic (NMAC) algorithm to re-define physical resources with the same quality of service as logically isolated resource units and combinations, i.e., cells and channels. In addition, a multi-task mechanism is designed in EdgeMatrix to solve the problem of Joint…
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