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Joint Resource Allo...
Joint Resource Allocation for Latency-Sensitive Services Over Mobile Edge Computing Networks With Caching
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- Zhang, Jiao (författare)
- Natl Univ Def Technol, Coll Elect Sci, Changsha 410073, Hunan, Peoples R China;Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China
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- Hu, Xiping (författare)
- Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China
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- Ning, Zhaolong (författare)
- Dalian Univ Technol, Key Lab Ubiquitous Network & Serv Software Liaoni, Sch Software, Dalian 116620, Peoples R China
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- Ngai, Edith (författare)
- Uppsala universitet,Datorteknik,Datalogi
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- Zhou, Li (författare)
- Natl Univ Def Technol, Coll Elect Sci, Changsha 410073, Hunan, Peoples R China
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- Wei, Jibo (författare)
- Natl Univ Def Technol, Coll Elect Sci, Changsha 410073, Hunan, Peoples R China
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- Cheng, Jun (författare)
- Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China
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- Hu, Bin (författare)
- Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 410073, Gansu, Peoples R China
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- Leung, Victor C. M. (författare)
- Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC V6T 1Z4, Canada
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(creator_code:org_t)
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2019
- 2019
- Engelska.
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Ingår i: IEEE Internet of Things Journal. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. - 2327-4662. ; 6:3, s. 4283-4294
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Mobile edge computing (MEC) has risen as a promising paradigm to provide high quality of experience via relocating the cloud server in close proximity to smart mobile devices (SMDs). In MEC networks, the MEC server with computation capability and storage resource can jointly execute the latency-sensitive offloading tasks and cache the contents requested by SMDs. In order to minimize the total latency consumption of the computation tasks, we jointly consider computation offloading, content caching, and resource allocation as an integrated model, which is formulated as a mixed integer nonlinear programming (MINLP) problem. We design an asymmetric search tree and improve the branch and bound method to obtain a set of accurate decisions and resource allocation strategies. Furthermore, we introduce the auxiliary variables to reformulate the proposed model and apply the modified generalized benders decomposition method to solve the MINLP problem in polynomial computation complexity time. Simulation results demonstrate the superiority of the proposed schemes.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Kommunikationssystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Communication Systems (hsv//eng)
Nyckelord
- Content caching
- Internet of Things (IoT)
- mobile edge computing (MEC)
- resource allocation
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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