CRS: Multi-Tier Computing Resource System for Computing and Network Convergence

Xu Jiahao; Yu Chen; Li Jian; Jin Hai

doi:10.7544/issn1000-1239.202440124

Journal of Computer Research and Development > 2025 > Accepted Manuscript > DOI: 10.7544/issn1000-1239.202440124 CSTR: 32373.14.issn1000-1239.202440124

Xu Jiahao, Yu Chen, Li Jian, Jin Hai. CRS: Multi-Tier Computing Resource System for Computing and Network Convergence[J]. Journal of Computer Research and Development. DOI: 10.7544/issn1000-1239.202440124

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CRS: Multi-Tier Computing Resource System for Computing and Network Convergence

Xu Jiahao^{1, 2, 3, 4,},
Yu Chen^{1, 2, 3, 4},
Li Jian^{5, 6},
Jin Hai^{1, 2, 3, 4}

1.
National Engineering Research Center for Big Data Technology and System (Huazhong University of Science and Technology) , Wuhan 430074
2.
Services Computing Technology and System Lab (Huazhong University of Science and Technology), Wuhan 430074
3.
Cluster and Grid Computing Lab (Huazhong University of Science and Technology), Wuhan 430074
4.
School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074
5.
Shanghai Key Laboratory of Scalable Computing and Systems (Shanghai Jiao Tong University), Shanghai 200240
6.
School of Software, Shanghai Jiao Tong University, Shanghai 200240

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Author Bio:
Xu Jiahao: born in 2000. Master. His main research interests include computing first network, edge computing

Yu Chen: born in 1976. PhD, professor, PhD supervisor. Senior member of CCF. His main research interests include edge AI, edge computing, big data and mobile computing

Li Jian: born in 1978. PhD, Professor. Seniormember of CCF. His main research interests include cloud computing, virtuliazation, high performance networking

Jin Hai: born in 1966. PhD, professor, PhD supervisor. Fellow of CCF, fellow of IEEE. His main research interests computer architecture, parallel and distributed computing, big data processing, data storage, and system security
Received Date: February 29, 2024
Accepted Date: January 08, 2025
Available Online: January 08, 2025

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Abstract

Abstract

The purpose of computing first network is to deeply integrate the ubiquitous computation with network, in order to effectively allocate multi-dimensional basic resources such as computation and storage between clouds, edges and ends through the network, allowing users to use them as transparently as water and electricity resources. Computing resources can be requested on demand and used at any time. Due to heterogeneous computing resources, dynamic network and diverse user needs, it has become one of the core challenging problems to effectively schedule and route resources in computing first network. To address this problem, we design a Multi-tier computing resource system(CRS). Different from the existing resource allocation, CRS is a complete computing first network technology solution based on the application layer, considering the computing resources awareness and computational routing. The computing resource system is composed of computing resource awareness strategy and computing resource routing protocol. The computing resource awareness strategy defines the intra-domain awareness rules within the jurisdiction and the inter-domain awareness rules between different jurisdictions. Based on this, we proposed a Greedy-Based Resource Routing Algorithm (GBRA), which can dynamically generate a search tree for each task. The computing resource routing protocol completes the allocation of resources through CRS request message, authorization notification message, notification confirmation message and CRS response message. Through extensive simulation experiments, compared with other algorithms, it is demonstrated that CRS can complete the resource allocation of more tasks within the maximum response latency tolerated. In addition, better load balancing can be achieved among the computing nodes within the jurisdiction.

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References (36)

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