Joint computing, communication and cost-aware task offloading in D2D-enabled Het-MEC

被引:19
作者
Abbas, Nadine [1 ]
Sharafeddine, Sanaa [1 ]
Mourad, Azzam [1 ,2 ]
Abou-Rjeily, Chadi [3 ]
Fawaz, Wissam [3 ]
机构
[1] Lebanese Amer Univ, Dept Comp Sci & Math, Beirut, Lebanon
[2] New York Univ, Div Sci, Abu Dhabi, U Arab Emirates
[3] Lebanese Amer Univ, Dept Elect & Comp Engn, Byblos, Lebanon
关键词
Mobile edge computing; Cloud computing; Partial offloading; Computation resource allocation; Radio resource allocation; D2D communication; Multi-RAT; RESOURCE-ALLOCATION; ENERGY; ASSIGNMENT; MINIMIZATION;
D O I
10.1016/j.comnet.2022.108900
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Due to the exploding traffic demands and the diversity of novel applications requiring extensive computation and radio resources, research has been active to devise mechanisms for responding to these challenges. Mobile edge computing (MEC) and device-to-device (D2D) computation task offloading are expected to play a major role in serving devices with limited capabilities, and thus enhance system performance. In this work, we propose a joint computing, communication and cost-aware task offloading optimization problem aiming at maximizing the number of completed tasks, while minimizing energy consumption and monetary cost in D2D-enabled heterogeneous MEC networks. Our proposed scheme allows partial offloading where a requester mobile terminal offloads different parts of its data task simultaneously to multiple peer mobile terminals (MTs), edge servers and cloud. We formulate and solve the optimal allocation strategy then decompose the problem into two sub-problems in an attempt to reduce its complexity. Furthermore, we propose a low-complexity algorithm that generates high performance results and can be applied for large-scale networks. Compared to conventional and state-of-the-art system models, results show the effectiveness of the proposed schemes and provide useful insights into the tradeoffs between the number of completed tasks, energy consumption and monetary cost.
引用
收藏
页数:16
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