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Title: A distributed and network-aware resource scheduling scheme for serverless cloud computing

Authors: Yi Pan; Jiali You

Addresses: National Network New Media Engineering Research Center, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China; School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China ' National Network New Media Engineering Research Center, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China; School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China

Abstract: Serverless computing has become a mainstream cloud paradigm due to its elasticity in resource utilisation. However, it introduces high arrival rates and time-varying resource demands, making centralised network-aware scheduling approaches a bottleneck, especially in large resource pools. To address this, we propose a distributed, network-aware scheduling scheme where multiple agents make concurrent decisions. While this design improves scalability, it also brings challenges such as decentralised resource modelling, notification overhead, and decision contention. To mitigate these issues, we carefully design the DFaR placement algorithm and the MA migration algorithm. Simulations show that, compared to centralised approaches, DFaR achieves 2-3 orders of magnitude higher throughput with modest losses in scheduling objectives, and MA adapts to future resource fluctuations with performance comparable to prediction-based strategies.

Keywords: serverless computing; distributed scheduling; scheduling speed; network awareness.

DOI: 10.1504/IJICT.2025.149051

International Journal of Information and Communication Technology, 2025 Vol.26 No.36, pp.17 - 41

Received: 25 Jun 2025
Accepted: 18 Aug 2025
Published online: 10 Oct 2025 *