NDLI: Deploying hybrid methodology in enhancing large file transfer

Content Provider	IEEE Xplore Digital Library
Author	Ng Kar Hoong Poo Kuan Hoong Wong Chee Onn
Copyright Year	2012
Description	Author affiliation: Faculty of Information Technology, Multimedia University, Cyberjaya 63100, Selangor, Malaysia (Ng Kar Hoong; Poo Kuan Hoong; Wong Chee Onn)
Abstract	File transfer is important for interconnected network systems. File synchronization is a process that uses file transfer method to update files between distanced locations. For an organization with regional distanced companies, file synchronization plays an important role in maintaining data concurrency between the companies. Due to the demand of faster file transfer methods, many related research have been done to improve the performance of file transfer. One of the approaches is to identify the network traffic condition and perform file transfer when the network traffic is relatively low. Time series forecasting exhibits the possibility for predicting the network traffic condition in the future events accurately. However, there are a few issues that needed to be resolved in order to utilize forecasting in file transfer. The objective of this paper is to evaluate the total improvement of a proposed file transfer method built on a forecasting module. This paper consists of three parts. Part one is time series model determination. This consists of time series model parameter estimation method by using Box-Jenkins methodology. Part two is to deploy and evaluate the performance by implementing file chunking with forecasting method before initializing file transfer. This is to determine the performance of file chunking algorithm in assisting time series forecasting during file transfer. Part three is similar process in part two with slight changes in the file transfer order. In the end of the experiment, we will conclude the usability of the proposed method based on the experiment conducted for this paper.
Starting Page	864
Ending Page	869
File Size	980395
Page Count	6
File Format	PDF
ISBN	9781467301503
ISSN	17389445
e-ISBN	9788955191639
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-02-19
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	GIRI
Subject Keyword	Radio access networks Random access memory Predictive models Yttrium file chunking Time series forecasting file transfer
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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