EconPapers    
Economics at your fingertips  
 

Energy-Aware Cloud-Edge Collaborative Task Offloading with Adjustable Base Station Radii in Smart Cities

Qian Su, Qinghui Zhang and Xuejie Zhang (xjzhang@ynu.edu.cn)
Additional contact information
Qian Su: School of Information Science & Engineering, Yunnan University, Kunming 650500, China
Qinghui Zhang: School of Information Science & Engineering, Yunnan University, Kunming 650500, China
Xuejie Zhang: School of Information Science & Engineering, Yunnan University, Kunming 650500, China

Mathematics, 2022, vol. 10, issue 21, 1-33

Abstract: In smart cities, the computing power and battery life of terminal devices (TDs) can be effectively enhanced by offloading tasks to nearby base stations (BSs) with richer resources. With the goal of TDs being fully served and achieving low-carbon energy savings for the system, this paper investigates task offloading in cloud-edge collaborative heterogeneous scenarios with multiple BSs and TDs. According to the proportional relationship between the energy and coverage radii of BSs, a complete coverage task offloading model with adjustable BS radii is proposed. The task offloading problem is formulated as an integer linear program with multidimensional resource constraints to minimize the sum of energy consumption of BS coverage, offloading tasks to BSs and the cloud data center (CC). Since this task offloading problem is NP-hard, two approximate algorithms with polynomial time complexity are designed based on the greedy strategy of seeking the most energy-effective disk and the primal–dual method of constructing primal feasible solutions according to dual feasible solutions. Experimental results show that both the greedy and primal–dual algorithms can achieve good approximation performance, but each of them has its own advantages due to different design principles. The former is superior in execution time and energy consumption, while the latter has advantages in balancing loads among BSs and alleviating core network bandwidth pressure.

Keywords: task offloading; energy-aware; greedy algorithm; primal–dual algorithm; cloud-edge collaboration (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/10/21/3992/pdf (application/pdf)
https://www.mdpi.com/2227-7390/10/21/3992/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:10:y:2022:i:21:p:3992-:d:955317

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager (indexing@mdpi.com).

 
Page updated 2024-12-28
Handle: RePEc:gam:jmathe:v:10:y:2022:i:21:p:3992-:d:955317