loading
Documents

Research.Publish.Connect.

Paper

Authors: Armen Dzhagaryan and Aleksandar Milenković

Affiliation: Electrical and Computer Engineering Department, The University of Alabama in Huntsville, Huntsville, AL and U.S.A.

ISBN: 978-989-758-322-3

Keyword(s): Cloud Computing, Lossless Compression, Energy Efficiency, Performance Evaluation, Cost Efficiency.

Related Ontology Subjects/Areas/Topics: Distributed Intelligent Agents ; Embedded Communications Systems ; Mobile and Pervasive Computing ; Networking and Connectivity ; Pervasive Embedded Networks ; Telecommunications ; Ubiquitous Computing Systems and Services ; Ubiquitous Multimedia

Abstract: An increasing reliance on cloud and distributed processing of scientific and big data in commercial, academic, and government institutions necessitate new approaches to optimize file transfers. Lossless data compression and decompression is essential in improving the overall effectiveness of file transfers between edge devices and the cloud by increasing communication throughput, reducing connection latency, making effective use of cloud storage, and reducing costs. This paper experimentally evaluates effectiveness of common and emerging general-purpose compression utilities for file transfers between edge devices and the cloud. The utilities are evaluated in terms of throughput and costs during representative file transfers between a workstation and the cloud, while varying LAN network conditions. The results show that the optimal compressed transfer modes improve both upload and download throughputs. For uploads, the peak improvements range from 5.16 to 25.6 times relative to uncomp ressed file uploads, and from 1.33 to 17.4 times relative to the default compressed uploads. For downloads, the peak improvements range from 3.82 to 19.57 times relative to uncompressed downloads, and from 1.8 to 13.8 times relative to the default compressed downloads. In addition, the best performing compressed transfer modes reduce the costs related to cloud computing. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 35.173.47.43

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Dzhagaryan, A. and Milenković, A. (2018). On Effectiveness of Compressed File Transfers to/from the Cloud: An Experimental Evaluation.In Proceedings of the 8th International Joint Conference on Pervasive and Embedded Computing and Communication Systems - Volume 1: PECCS, ISBN 978-989-758-322-3, pages 35-46. DOI: 10.5220/0006905800350046

@conference{peccs18,
author={Armen Dzhagaryan. and Aleksandar Milenković.},
title={On Effectiveness of Compressed File Transfers to/from the Cloud: An Experimental Evaluation},
booktitle={Proceedings of the 8th International Joint Conference on Pervasive and Embedded Computing and Communication Systems - Volume 1: PECCS,},
year={2018},
pages={35-46},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006905800350046},
isbn={978-989-758-322-3},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Pervasive and Embedded Computing and Communication Systems - Volume 1: PECCS,
TI - On Effectiveness of Compressed File Transfers to/from the Cloud: An Experimental Evaluation
SN - 978-989-758-322-3
AU - Dzhagaryan, A.
AU - Milenković, A.
PY - 2018
SP - 35
EP - 46
DO - 10.5220/0006905800350046

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.