Computation Resource Leasing for Priority Aggregation Local Computing Network

TL;DR

This paper introduces a computation resource leasing system using priority as an intermediary to improve utilization of idle local computing resources in smart edge networks, enabling efficient task processing.

Contribution

It proposes a novel priority-based resource leasing framework and matching algorithm for local computing networks, addressing resource underutilization issues.

Findings

Efficient utilization of idle computation resources over time and space.

Enhanced ability to handle large tasks beyond local capacity.

Priority management improves resource allocation efficiency.

Abstract

In large scale smart edge networks, computation resource is generally underutilized due to the uneven distribution of computation resource in time and space domain. This may correspond to a simple fact that no device is capable for 'storing' and 'exchanging' idle computation resource. Thus, this paper proposes a computation resource leasing (CRL) concept using priority as an intermediary to restore and exchange the permission for computation resource for priority aggregation local computing network (PALCN). Each device in PALNC is able to gain priority as a reward for leasing its computing resource to others. CRL also offers a priority oriented algorithm to match the computation request with idle source nodes and a priority management model. Our analysis and numerical results show that the system can efficiently utilize local idle computation sources over time and space domain and filtrate the big task that local computation can not finish.