2017
DOI: 10.1016/j.adhoc.2016.11.006
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PMC2O: Mobile cloudlet networking and performance analysis based on computation offloading

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Cited by 7 publications
(5 citation statements)
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“…The computation effectiveness of our proposed GAA algorithm are shown in Figures 2 and 3. To compare the performance between our solutions and existing algorithms, besides GAA and BEA, a well-known heuristics solution, simulated annealing algorithm (SAA) is also presented in our experiments, since SAA is widely adopted to solve NP-hard problem [31]. In addition, we use a randomized algorithm (RANA), which is repeated the random selection process 1000 times and taken the average value, to introduce statistical tests into our experiments.…”
Section: Performance Evaluationmentioning
confidence: 99%
“…The computation effectiveness of our proposed GAA algorithm are shown in Figures 2 and 3. To compare the performance between our solutions and existing algorithms, besides GAA and BEA, a well-known heuristics solution, simulated annealing algorithm (SAA) is also presented in our experiments, since SAA is widely adopted to solve NP-hard problem [31]. In addition, we use a randomized algorithm (RANA), which is repeated the random selection process 1000 times and taken the average value, to introduce statistical tests into our experiments.…”
Section: Performance Evaluationmentioning
confidence: 99%
“…Similarly, in [28], the authors propose the concept of Companion Fog Computing (CFC), a software architecture composed of distributed layers, one running on the mobile device, and another on a fog server; the latter is dynamically allocated to nodes of a fog infrastructure in order to minimize the distance from the current device location. Similarly, the study in [29] proposes a cloudlet-based networking architecture including a cooperative algorithm for workload mobility among the nodes of the cluster. Generally speaking, MEC-related platforms must address two main issues: (i) how to define the service migration strategy, by taking into account the current resource utilization of the nodes as well as the QoS of the IoT application; (ii) how to implement the software mobility, by also handling the migration of the execution state.…”
Section: B Iot Service Migrationmentioning
confidence: 99%
“…Chen et al [27] designs a peer-to-peer mobile cloudlet communication model based on short-range radio communication which interconnects nearby mobile devices. Jin et al [6] are interested in ad hoc cloudlet networking and propose a dynamic cloudlet self-networking framework to configure computation offloading. Taking node mobility into account, dynamic cloudlet behavior is investigated, they design an optimized allocation algorithm called SA-UM to reduce the complexity of resolution space on component allocation algorithm.…”
Section: Related Work 22mentioning
confidence: 99%
“…ad hoc network is called ad hoc cloudlet, which is especially useful when the Internet is inaccessible [5][6]. Based on the existing research of cloudlet, users have two choices to transfer their computation tasks for execution other than processing tasks in local mobile devices: server-based cloudlet execution and ad hoc cloudlet execution.…”
mentioning
confidence: 99%