Two-Stage Resource Scheduling for Deterministic Communication and Computation Integration

Weiting Zhang, Nian Tang, Chuan Zhang*, Ruibin Guo, Mingyan Li, Chenhao Ying, Jian Jin*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we investigate a resource orchestration and transmission scheduling problem for data-intensive services with diversified service requirements. A three-layer collaborative architecture is presented to support dynamic networking and computing resource allocation. To obtain optimal orchestration and scheduling policies, we formulate a constrained resource scheduling problem with the objective to maximizing resource utilization and scheduling success ratio. Since the complicated coupled constraints among decisions, we decouple the problem into a two-stage sub-problems of resource orchestration and transmission scheduling. To realize cross-domain resource orchestration and deterministic transmission of large-scale computing tasks, a two-stage resource scheduling scheme is proposed. Specifically, the first stage makes the resource orchestration decision by a greedy algorithm, and the second stage makes the transmission scheduling decision based on a deep reinforcement learning algorithm. Simulation results show that the proposed solution can effectively improve resource utilization and scheduling success ratio while satisfying diversified service requirements, as compared with benchmarks.

Original languageEnglish
Title of host publicationGLOBECOM 2024 - 2024 IEEE Global Communications Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4179-4184
Number of pages6
ISBN (Electronic)9798350351255
DOIs
Publication statusPublished - 2024
Event2024 IEEE Global Communications Conference, GLOBECOM 2024 - Cape Town, South Africa
Duration: 8 Dec 202412 Dec 2024

Publication series

NameProceedings - IEEE Global Communications Conference, GLOBECOM
ISSN (Print)2334-0983
ISSN (Electronic)2576-6813

Conference

Conference2024 IEEE Global Communications Conference, GLOBECOM 2024
Country/TerritorySouth Africa
CityCape Town
Period8/12/2412/12/24

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