Intelligent workload allocation in IoT-Fog-cloud architecture towards mobile edge computing
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Title
Intelligent workload allocation in IoT-Fog-cloud architecture towards mobile edge computing
Authors
Keywords
Internet of Things (IoT), Mobile edge computing (MEC), Multi-objective genetic algorithm, Workload allocation
Journal
COMPUTER COMMUNICATIONS
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2021-01-23
DOI
10.1016/j.comcom.2021.01.022
References
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- (2020) Zaib Ullah et al. COMPUTER COMMUNICATIONS
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- (2020) Sahand Khodaparas et al. COMPUTER COMMUNICATIONS
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- (2020) Xiaolong Xu et al. INFORMATION SCIENCES
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- (2020) Xiaolong Xu et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- A calibrated asymptotic framework for analyzing packet classification algorithms on GPUs
- (2019) M. Abbasi et al. JOURNAL OF SUPERCOMPUTING
- Multi-objective virtual network function placement using NSGA-II meta-heuristic approach
- (2019) Sanaz Tavakoli-Someh et al. JOURNAL OF SUPERCOMPUTING
- Enabling multiple health security threats detection using mobile edge computing
- (2019) Mohammad Al-Zinati et al. SIMULATION MODELLING PRACTICE AND THEORY
- EBA: Energy Balancing Algorithm for Fog-IoT Networks
- (2019) Forough Shirin Abkenar et al. IEEE Internet of Things Journal
- Application of NSGA-II Algorithm for fault diagnosis in power system
- (2019) Shoupeng Wang et al. ELECTRIC POWER SYSTEMS RESEARCH
- Securing Fog Computing for Internet of Things Applications: Challenges and Solutions
- (2018) Jianbing Ni et al. IEEE Communications Surveys and Tutorials
- BOAT: A Block-Streaming App Execution Scheme for Lightweight IoT Devices
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- (2018) Guowei Zhang et al. IEEE Internet of Things Journal
- Clarifying Fog Computing and Networking: 10 Questions and Answers
- (2017) Mung Chiang et al. IEEE COMMUNICATIONS MAGAZINE
- Serving at the Edge: A Scalable IoT Architecture Based on Transparent Computing
- (2017) Ju Ren et al. IEEE NETWORK
- A gap analysis of Internet-of-Things platforms
- (2016) Julien Mineraud et al. COMPUTER COMMUNICATIONS
- Integration of Cloud computing and Internet of Things: A survey
- (2016) Alessio Botta et al. Future Generation Computer Systems-The International Journal of eScience
- Fog Computing May Help to Save Energy in Cloud Computing
- (2016) Fatemeh Jalali et al. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
- Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing
- (2016) Xu Chen et al. IEEE-ACM TRANSACTIONS ON NETWORKING
- Fog and IoT: An Overview of Research Opportunities
- (2016) Mung Chiang et al. IEEE Internet of Things Journal
- Security and privacy in mobile crowdsourcing networks: challenges and opportunities
- (2015) Kan Yang et al. IEEE COMMUNICATIONS MAGAZINE
- DREAM: Dynamic Resource and Task Allocation for Energy Minimization in Mobile Cloud Systems
- (2015) Jeongho Kwak et al. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
- A Dynamic Offloading Algorithm for Mobile Computing
- (2012) Dong Huang et al. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
- The Internet of Things: A survey
- (2010) Luigi Atzori et al. Computer Networks
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