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| dc.contributor.author | Fariha, Raisa | |
| dc.contributor.author | Karim, Md. Ziad | |
| dc.contributor.author | Mahamud, Sheikh Faiyaz | |
| dc.date.accessioned | 2022-04-17T17:01:31Z | |
| dc.date.available | 2022-04-17T17:01:31Z | |
| dc.date.issued | 2021-03-30 | |
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Tsitsiklis, “The complexity of markov decision processes,” Mathematics of Operations Research, vol. 12, no. 3, pp. 441–450, 1987 27. H. Badri, T. Bahreini, D. Grosu, and K. Yang, “A sample average approximation-based parallel algorithm for application placement in edge computing systems,” in Proc. of IEEE International Conference on Cloud Engineering, 2018, pp. 198–203 28. H. Badri, T. Bahreini, D. Grosu, and K. Yang, “A sample average approximation-based parallel algorithm for application placement in edge computing systems,” in Proc. of IEEE International Conference on Cloud Engineering, 2018, pp. 198–203 | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/1347 | |
| dc.description | Supervised by Prof. Muhammad Mahbub Alam PhD Professor Department of Computer Science and Engineering(CSE) Islamic University of Technology(IUT), Board Bazar, Gazipur, Bangladesh | en_US |
| dc.description.abstract | Quality of Service in case of IoT devices like Mobile Edge Computing Systems widely depends on the way the offloading of applications is done and how the devices are placed in the system. In case of Mobile Edge Computing Systems, the users are constantly moving so it is very important to find an optimal placement arrangement for them. But due to continuous movement, any optimal placement might even turn into an inefficient one within minutes. So, it is very important to design the placement of the applications keeping in mind the dynamics of the whole system. Again, the energy consumption done by the server in a MEC is an integral part while calculating the cost of services of the system. That is why in our paper we will address the problem of the optimal placement of the devices in a MEC as a multi-stage stochastic program. Our main goal will be to improve the Quality of Services as much as possible. Each of the mobile edge servers has a specific energy budget which we will also take into account. We have designed an algorithm to solve this problem and we will perform an experimental analysis to evaluate the performance of our designed algorithm. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur, Bangladesh | en_US |
| dc.title | Energy Efficiency of Mobile Edge Computing Systems | en_US |
| dc.type | Thesis | en_US |
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