Low-Complexity and Efficient Dependent Subtask Offloading Strategy in IoT Integrated With Multi-Access Edge Computing

A comprehensive review on internet of things task offloading in multi-access edge computing

“…Over 40 % of the literature surveyed in this survey focused on task allocation as the primary problem-solving goal [ 73 , 74 , 77 , 79 , 81 , [84] , [85] , [86] , 88 , [138] , [139] , [140] , 143 , 145 , [90] , [91] , [147] , 94 , [96] , [97] , [98] , 100 , 104 , 106 , [108] , [109] , [110] , 125 , 130 , 131 , 137 ]. The goal of resource allocation is addressed in approximately 10 % of the reviewed literature [ 99 , 103 , 105 , 111 , 116 , 121 ].…”

“…The primary goal of optimizing the task-offloading mechanism is to improve the success rate of task-offloading and reduce costs as much as possible. The survey results show that performance metrics related to offloading efficiency are the most numerous [ 73 , 75 , 76 , 142 , 146 , 94 , [100] , [101] , [102] , [103] , [104] , 113 , 124 , 125 , 128 ].…”

“…Device-to-edge (D2E) task offloading in a Multi-Access Edge Computing (MEC) network involves offloading a task from a user's device to an edge server or cloudlet located at the network's edge. This approach allows tasks to be processed closer to the source of data, reducing latency and improving the overall performance of applications [ 73 , 74 , 76 , 77 , 79 , 80 , 83 , 84 , [86] , [87] , [88] , [89] , [144] , [145] , [146] , [147] , 91 , 94 , 97 , 100 , [102] , [103] , [104] , 106 , 107 ], [ 113 , 114 , [116] , [117] , [118] , 120 , 123 , [126] , [127] , [128] , 130 , 132 , 135 , 137 , 148 , 160 , 161 , 167 ].…”

“…A low-complexity heuristic algorithm is provided in Ref. [ 104 ]. The principle is to adjust the scheduling strategy, minimum delay, and energy consumption by calculating the scheduling value and data transmission rate of IoT offloading tasks.…”

“…In Ref. [ 104 ] the author also proposed a task offloading decision-making method based on DNN to reduce the delay of task execution and the battery consumption of TD. However, this method takes into account the type of distinction of tasks, thereby enabling finer-grained task offloading scheduling and optimization.…”