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Discovery and selection mechanism of cloudlets in a decentralized MCC environment

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Udai Pratap RaoAuthors Info & Claims

MOBILESoft '16: Proceedings of the International Conference on Mobile Software Engineering and Systems

Pages 15 - 16

https://doi.org/10.1145/2897073.2897114

Published: 14 May 2016 Publication History

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Abstract

In this paper a mechanism to identify a cloudlet for computation offloading in a decentralized manner is proposed. The cloudlet identification is carried out in two phases. In the first phase, cloudlets within WiFi range of the mobile device are identified without connecting to any of the cloudlets. In the second phase, selection of the ideal offloading cloudlet is done based on infrastructure specific parameters making the mechanism more generic.

References

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M. Satyanarayanan. Pervasive computing: Vision and challenges. Personal Communications, IEEE, 8(4):10--17, 2001.

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Kumar BSingh MVerma AVerma P(2023)Optimal Cloudlet Selection in Edge Computing for Resource AllocationSN Computer Science10.1007/s42979-023-02187-04:6Online publication date: 27-Sep-2023
https://doi.org/10.1007/s42979-023-02187-0
Shalini Lakshmi AVijayalakshmi M(2020)CASCM2: Capability-Aware Supply Chain Management Model for QoS-driven offload-participator selection in Fog environmentsSādhanā10.1007/s12046-020-01414-145:1Online publication date: 10-Jul-2020
https://doi.org/10.1007/s12046-020-01414-1
Peng KZhu SZheng LXu XLeung V(2020)A Multi-objective Computation Offloading Method in Multi-cloudlet EnvironmentCloud Computing, Smart Grid and Innovative Frontiers in Telecommunications10.1007/978-3-030-48513-9_2(20-32)Online publication date: 23-May-2020
https://doi.org/10.1007/978-3-030-48513-9_2
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Discovery and selection mechanism of cloudlets in a decentralized MCC environment

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MOBILESoft '16: Proceedings of the International Conference on Mobile Software Engineering and Systems

May 2016

326 pages

ISBN:9781450341783

DOI:10.1145/2897073

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

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Published: 14 May 2016

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ICSE '16

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ICSE '16: 38th International Conference on Software Engineering

May 14 - 22, 2016

Texas, Austin

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2025 IEEE/ACM 46th International Conference on Software Engineering

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Kumar BSingh MVerma AVerma P(2023)Optimal Cloudlet Selection in Edge Computing for Resource AllocationSN Computer Science10.1007/s42979-023-02187-04:6Online publication date: 27-Sep-2023
https://doi.org/10.1007/s42979-023-02187-0
Shalini Lakshmi AVijayalakshmi M(2020)CASCM2: Capability-Aware Supply Chain Management Model for QoS-driven offload-participator selection in Fog environmentsSādhanā10.1007/s12046-020-01414-145:1Online publication date: 10-Jul-2020
https://doi.org/10.1007/s12046-020-01414-1
Peng KZhu SZheng LXu XLeung V(2020)A Multi-objective Computation Offloading Method in Multi-cloudlet EnvironmentCloud Computing, Smart Grid and Innovative Frontiers in Telecommunications10.1007/978-3-030-48513-9_2(20-32)Online publication date: 23-May-2020
https://doi.org/10.1007/978-3-030-48513-9_2
Lin LLiao XJin HLi P(2019)Computation Offloading Toward Edge ComputingProceedings of the IEEE10.1109/JPROC.2019.2922285107:8(1584-1607)Online publication date: Aug-2019
https://doi.org/10.1109/JPROC.2019.2922285
Gao HFeng JWang RWang W(2017)A Multi-task Oriented Selection Strategy for Efficient Cooperation of Collocated Mobile DevicesAlgorithms and Architectures for Parallel Processing10.1007/978-3-319-65482-9_56(705-714)Online publication date: 11-Aug-2017
https://doi.org/10.1007/978-3-319-65482-9_56

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Towards the Decentralised Cloud: Survey on Approaches and Challenges for Mobile, Ad hoc, and Edge Computing

An Analysis of the Impact of the Quality of Mobile Networks on the Use of Cloudlets

Scalable Profit Optimized Incentive Mechanism for Resources in Cloudlet Based Mobile Edge Computing Framework

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