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Resource Scheduling in Edge Computing: A Survey [article]

Quyuan Luo, Shihong Hu, Changle Li, Guanghui Li, Weisong Shi
2021 arXiv   pre-print
To shed light on the significance of resource scheduling in real-world scenarios, we discuss several typical application scenarios involved in the research of resource scheduling in edge computing.  ...  By moving the services and functions located in the cloud to the proximity of users, edge computing can provide powerful communication, storage, networking, and communication capacity.  ...  The study in [210] designed a heuristic algorithm based on tabu search for task scheduling in IoVs.  ... 
arXiv:2108.08059v1 fatcat:oo4lepcn3rhdfafefw5lkq2lia


G. Prasadu
2018 International Journal of Advanced Research in Computer Science  
To improve the energy efficiency of heterogeneous servers in the cloud computing system, this paper puts forward a non-cooperative game based task scheduling and computing resource allocation algorithm  ...  Firstly, we use noncooperative game to model the task scheduling and computing resource allocation process of the servers in the cloud computing system, and the server's utility function is modeled as  ...  Liu Y et al [8] designed an algorithm based on genetic and ant colony for scheduling of tasks in cloud computing environment.  ... 
doi:10.26483/ijarcs.v9i1.5389 fatcat:wuzp5yppkvhu5ce4l3onjhpeqq

Current trends in cloud computing

Siraj Munir, Computer Science Department, Muhammad Ali Jinnah University
2020 Indian Journal of Science and Technology  
In this work we have limited ourselves to only technical aspects of cloud computing while excluding areas of security, privacy and economics (for example CapEx).  ...  Our initial findings lead our reviews to five major areas of Cloud Computing including Load balancing, resource scheduling, resource allocation, resource sharing, and job scheduling.  ...  Researchers in (56) highlighted complexity of job scheduling cloud environment and proposed game theory and mathematics inspired technique for task scheduling in dynamic circumstances.  ... 
doi:10.17485/ijst/v13i24.358 fatcat:mzlwkmkjw5c3lahyvvvdiaqy6i

A resource-sharing model based on a repeated game in fog computing

Yan Sun, Nan Zhang
2017 Saudi Journal of Biological Sciences  
In this paper, we propose a fog computing structure and present a crowd-funding algorithm to integrate spare resources in the network.  ...  in our algorithm.  ...  In , the authors designed a high-efficiency task scheduling and resources management strategy designed to minimize time to accomplish tasks in the fog environment to enhance user experiences.  ... 
doi:10.1016/j.sjbs.2017.01.043 pmid:28386197 pmcid:PMC5372394 fatcat:ioharbgw7be2fcqpyxjk6s5t6m

Computing Unloading Strategy of Massive Internet of Things Devices Based on Game Theory in Mobile Edge Computing

Xinhui Ding, Wenjuan Zhang
2021 Mathematical Problems in Engineering  
Due to the limited computing resources of the mobile edge computing (MEC) server, a massive Internet of things device computing unloading strategy using game theory in mobile edge computing is proposed  ...  designed and modeled, including communication model, task model, and computing model.  ...  Acknowledgments is work was supported by the Program for Innovative Research Team (in Science and Technology) in University of Henan Province (17IRTSTHN009).  ... 
doi:10.1155/2021/2163965 doaj:9e6cbed44afa4b6b8cfb55005302e7e0 fatcat:3r4zj5jky5ayvglkkxmuhngdbq

HPS-HDS: High Performance Scheduling for Heterogeneous Distributed Systems

Florin Pop, Alexandru Iosup, Radu Prodan
2018 Future generations computer systems  
In this special issues, the accepted papers address the advance on scheduling algorithms, energy-aware models, self-organizing resource management, dataaware service allocation, Big Data management and  ...  More, HDS are highly dynamic in its structure, because the user requests must be respected as an agreement rule (SLA) and ensure QoS, so new algorithm for events and tasks scheduling and new methods for  ...  ., in the second paper, titled ''Dynamic Energy-Aware Scheduling for Parallel Task-Based Application in Cloud Computing'' [5] , describe a model for for estimating the application energy consumption and  ... 
doi:10.1016/j.future.2017.09.012 fatcat:aqdguozk5jffbjxpfoecskbpv4

Task Offloading Strategy and Simulation Platform Construction in Multi-User Edge Computing Scenario

Guilu Wu, Zhongliang Li
2021 Electronics  
Additionally, a task offloading algorithm is designed to achieve a NE, which represents an optimal or sub-optimal system overhead.  ...  In this paper, we propose the multi-user task offloading strategy based on game theory to reduce the computational complexity and improve system performance.  ...  In this paper, we design a task offloading scheduling scheme based on game theory, followed by an efficient task offloading algorithm in vehicular networks.  ... 
doi:10.3390/electronics10233038 fatcat:ih4zzkbiqbdypbzy6wzzhvyrke

Towards Computation Offloading in Edge Computing: A Survey

Congfeng Jiang, Xiaolan Cheng, Honghao Gao, Xin Zhou, Jian Wan
2019 IEEE Access  
Computation offloading plays a crucial role in edge computing in terms of network packets transmission and system responsiveness through dynamic task partitioning between cloud data centers and edge servers  ...  Moreover, resource scheduling approaches, gaming and tradeoffing among system performance and overheads for computation offloading decision making are also reviewed.  ...  Furthermore, they design two computational offloading algorithms, a low-latency algorithm for a singleround Stackelberg game and a low-complexity algorithm for multiple rounds of Stackelberg games.  ... 
doi:10.1109/access.2019.2938660 fatcat:qcpqojzxsnbsnmuez3x2ew4sqa

Load balancing in Cloud Computing: Issues and Challenges

K. Balaji , Et. al.
2021 Turkish Journal of Computer and Mathematics Education  
The evolution of IT led Cloud computing technology emerge as a new prototype in providing the services to its users on rented basis at any time or place.  ...  Consequently, it necessitate the researchers to layout and apply a proper load balancer for cloud environment.  ...  Firstly, they are doing reliability analysis by using task scheduling. Secondly by using gaming theory, they are creating gaming model for cloud task scheduling.  ... 
doi:10.17762/turcomat.v12i2.2350 fatcat:4jsnilcmjvbopfrj64bspczeri

A Survey on Mobile Edge Computing: The Communication Perspective

Yuyi Mao, Changsheng You, Jun Zhang, Kaibin Huang, Khaled B. Letaief
2017 IEEE Communications Surveys and Tutorials  
A main thrust of MEC research is to seamlessly merge the two disciplines of wireless communications and mobile computing, resulting in a wide-range of new designs ranging from techniques for computation  ...  Driven by the visions of Internet of Things and 5G communications, recent years have seen a paradigm shift in mobile computing, from the centralized Mobile Cloud Computing towards Mobile Edge Computing  ...  Second, considering self-interested cloud service providers, a distributed algorithm based on game theory was proposed to maximize service providers' own profits, which was shown to achieve the Nash equilibrium  ... 
doi:10.1109/comst.2017.2745201 fatcat:rkgkslqx4bg6vp4ynidiuzqtga

A Scheme Design of Cloud + End Technology in Demand Side Management

Leijiao Ge, Xiandong Xu
2015 American Journal of Engineering and Applied Sciences  
In particular, a construct model of cloud + end is presented to solve economic problems in the DSM based on game theories.  ...  Moreover, cloud computing which is a service model is characterized by resource on-demand, high reliability and large scale integration and so on and the game theory is a useful tool to the dynamic economic  ...  The title of NO.51377115 is a fast mode and simulation of smart distribution system based cloud computing.  ... 
doi:10.3844/ajeassp.2015.736.747 fatcat:b5lgwrw75fbadbkz53oqzx7ove

Dynamic Computation Offloading based on Graph Partitioning in Mobile Edge Computing

GuangShun Li, QingYan Lin, JunHua Wu, Ying Zhang, JiaHe Yan
2019 IEEE Access  
Then, we analyze the overhead of each mobile devices, and we propose strategies for task scheduling and offloading in a multi-user MEC system.  ...  For reducing the energy consumption, we propose a server partitioning algorithm that is based on clustering.  ...  To improve the energy efficiency in the cloud environment, they also designed a QoS-aware VM scheduling method for energy conservation, namely, QVMS [24] . Chen and Liang et al.  ... 
doi:10.1109/access.2019.2960887 fatcat:6nhdruahtbg4pbnsyd4mstjtyu

A Game-Theoretic Based Resource Allocation Strategy for Cloud Computing Services

Wang Yan, Wang Jinkuan, Sun Jinghao
2016 Scientific Programming  
We propose an economics-oriented cloud computing resources allocation strategy with the use of game theory.  ...  Then we develop a resource allocation algorithm named NCGRAA (noncooperative game resource allocation algorithm) to search the Nash equilibrium solution that makes the utility of various resource providers  ...  Our research on cloud computing resources provisioning strategy is based on the market economic model and the advantages of game theory in resource management.  ... 
doi:10.1155/2016/1629893 fatcat:hbntdxsuznhlvlsqxrzuotyip4

A Novel Resource Scheduling Model for Cloud Data Center based on Game Analysis and Optimization Theory

2017 Revista Técnica de la Facultad de Ingeniería Universidad del Zulia  
In this paper, we propose the novel resource scheduling model for the cloud data center based on game analysis and optimization theory.  ...  In our model, the game analysis and primary optimization theory are applied into the model for the global enhancement.  ...  ACKNOWLEDGEMENT This paper is financially supported by the project named: Research and application design of the energyefficient and the efficient multi-service aggregation cloud (NO. 2014BAH02F02).  ... 
doi:10.21311/ fatcat:jmwk2m5asvhcndu7ieg43lwdkq

Game theoretical approach for load balancing using SGMLB model in cloud environment

R Swathy, B Vinayagasundaram, G Rajesh, Anand Nayyar, Mohamed Abouhawwash, Mohamed Abu Elsoud
2020 PLoS ONE  
Stackelberg Game Theoretical Model for Load Balancing (SGMLB) algorithm deploys the tasks on the host in the data center by considering the utilization factor of every individual host, which helps in achieving  ...  In a cloud data center, a high volume of continuous incoming task requests to physical hosts makes an imbalance in the cloud data center load.  ...  In recent times, the algorithmic game theory is a significant growth area in theoretical computer science.  ... 
doi:10.1371/journal.pone.0231708 pmid:32310989 pmcid:PMC7170225 fatcat:zya6eqbx6zbjtaml2uxqzf5iom
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