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Offloading Scheme for Cloudlets Computation Tasks

C. Abinaya1 , E. Ramaraj2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-8 , Page no. 228-232, Aug-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i8.228232

Online published on Aug 31, 2018

Copyright © C. Abinaya, E. Ramaraj . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: C. Abinaya, E. Ramaraj, “Offloading Scheme for Cloudlets Computation Tasks,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.228-232, 2018.

MLA Style Citation: C. Abinaya, E. Ramaraj "Offloading Scheme for Cloudlets Computation Tasks." International Journal of Computer Sciences and Engineering 6.8 (2018): 228-232.

APA Style Citation: C. Abinaya, E. Ramaraj, (2018). Offloading Scheme for Cloudlets Computation Tasks. International Journal of Computer Sciences and Engineering, 6(8), 228-232.

BibTex Style Citation:
@article{Abinaya_2018,
author = {C. Abinaya, E. Ramaraj},
title = {Offloading Scheme for Cloudlets Computation Tasks},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2018},
volume = {6},
Issue = {8},
month = {8},
year = {2018},
issn = {2347-2693},
pages = {228-232},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2680},
doi = {https://doi.org/10.26438/ijcse/v6i8.228232}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i8.228232}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2680
TI - Offloading Scheme for Cloudlets Computation Tasks
T2 - International Journal of Computer Sciences and Engineering
AU - C. Abinaya, E. Ramaraj
PY - 2018
DA - 2018/08/31
PB - IJCSE, Indore, INDIA
SP - 228-232
IS - 8
VL - 6
SN - 2347-2693
ER -

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Abstract

Mobile cloud computing (MCC) has been provided as a viable technique to the derived boundaries of mobile computing. Those barriers include battery lifetime, garage potential and processing power. By using MCC, the storage and the processing of speedy cell device responsibilities will take in the cloud gadget. The outcomes may be repeated to the cellular device. It decreases the required energy and time for reaching such intensive jobs. But, cellular devices connecting with the cloud suffers from the excessive community latency and the massive transmission strength intake mainly whilst the usage of 3G/LTE connections. Then again, multimedia packages are the maximum not unusual packages in modern day mobile gadgets; such packages require excessive computing resources. In this paper, it`s been analyzed a cloudlet-based MCC totally machine that determines the cloudlets aiming at reduce the energy intake and a network put off of multimedia applications even as using MCC.

Key-Words / Index Term

MCC, Cloudlets, LTE Network, Multimedia

References

[1] Mishra, Sushruta, et al. "Analysis of Mobile Cloud Computing: Architecture, Applications, Challenges, and Future Perspectives." Applications of Security, Mobile, Analytic, and Cloud (SMAC) Technologies for Effective Information Processing and Management.IGI Global, 2018.81-104.
[2] Varghese, Blesson, and RajkumarBuyya. "Next generation cloud computing: New trends and research directions." Future Generation Computer Systems 79 (2018): 849-861.
[3] Erl, Thomas, Robert Cope, and Amin Naserpour. "Cloud Computing Design Patterns (paperback)." (2017).
[4] Agrawal, Dharma P., et al. "Recent Advances in Mobile Cloud Computing." Wireless Communications and Mobile Computing2018 (2018).
[5] Zakarya, Muhammad. "Energy, performance and cost efficient datacenters: A survey." Renewable and Sustainable Energy Reviews 94 (2018): 363-385.
[6] Aazam, Mohammad, SheraliZeadally, and Khaled A. Harras. "Offloading in fog computing for IoT: Review, enabling technologies, and research opportunities." Future Generation Computer Systems (2018).
[7] Noor, Talal H., et al. "Mobile cloud computing: Challenges and future research directions." Journal of Network and Computer Applications 115 (2018): 70-85.
[8] Bilal, Kashif, et al. "Potentials, trends, and prospects in edge technologies: Fog, cloudlet, mobile edge, and micro data centers." Computer Networks 130 (2018): 94-120.
[9] Yang, Chaowei, et al. "Big Data and cloud computing: innovation opportunities and challenges." International Journal of Digital Earth 10.1 (2017): 13-53.
[10] Saha, Debashis. "A Cost-Effective Cloud Strategy for Small and Medium Enterprises (SMEs): Transforming Business With Amazon`s EC2 Spot Instances." Advances in Data Communications and Networking for Digital Business Transformation.IGI Global, 2018.98-123.
[11] Benedetti, Fabio, et al. "Monitoring resources in a cloud-computing environment." U.S. Patent No. 9,591,074. 7 Mar. 2017.
[12] Dempsey, David, and Felicity Kelliher. "B2B Cloud Computing Software as a Service Revenue Model." Industry Trends in Cloud Computing. Palgrave Macmillan, Cham, 2018. 129-138.
[13] Kasemsap, Kijpokin. "Software as a service, Semantic Web, and big data: Theories and applications." Resource management and efficiency in cloud computing environments.IGI Global, 2017.264-285.
[14] Sharma, VibhuSaujanya, ShubhashisSengupta, and AnnervazKarukapadathMohamedrasheed. "Method and system for managing user state for applications deployed on platform as a service (PaaS) clouds." U.S. Patent No. 9,635,088. 25 Apr. 2017.
[15] Gonzales, Dan, et al. "Cloud-trust—A security assessment model for infrastructure as a service (IaaS) clouds." IEEE Transactions on Cloud Computing 5.3 (2017): 523-536.
[16] Agrawal, Dharma P., et al. "Recent Advances in Mobile Cloud Computing." Wireless Communications and Mobile Computing2018 (2018).
[17] Jonas, Eric, et al. "Occupy the cloud: Distributed computing for the 99%." Proceedings of the 2017 Symposium on Cloud Computing. ACM, 2017.
[18] Jin, A-Long, Wei Song, and WeihuaZhuang. "Auction-based resource allocation for sharing cloudlets in mobile cloud computing." IEEE Transactions on Emerging Topics in Computing 6.1 (2018): 45-57.
[19] Mollah, Muhammad Baqer, MdAbulKalam Azad, and AthanasiosVasilakos. "Security and privacy challenges in mobile cloud computing: Survey and way ahead." Journal of Network and Computer Applications 84 (2017): 38-54.