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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

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