UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIRDC06042


Registration ID:
221870

Page Number

233-237

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Title

Evaluating the Performance of Spice Framework Using Trace-Driven Emulations on Smartphone’s

Abstract

portable online social networks (OSNs) be rising because the famous conventional policy intended for data as well as contented distribution amongst populace. within arrange toward grant the first-rate of knowledge guide for cell OSN examine, on this term paper, we suggest a socially-driven learning-primarily based structure, specifically Spice, intended for the media content material prefetching toward decrease the get right of entry to postpone as well as improve cellular consumer’s pride. Throughout a huge scale facts-pushed evaluation in excess of real-life mobile Twitter strains from over 17 000 customers throughout a phase of 5 months, we display that the social friendship have a high-quality brunt on consumer’s medium material click on conduct. Toward imprison this impact, we behavior the social friendship cluster in excess of the position of consumer’s associates, after that expand a cluster-base completely dormant Bias form for socially driven getting to knowledge base prefetching forecast. We afterward plan a practice adaptive prefetching setting up method by using captivating keen on report that one of kind users might additionally acquire various patterns within the mobile OSN app utilization. We expansively estimate the overall performance of Spice structure use trace determined emulations going on smart phones. Assessment outcomes support that the Spice be able to acquire greater overall performance, among a mean 80.6% get admission to put off reduction at the less value of mobile records as well as power expenditure. In addition, by means of enabling customers to dump their device gaining knowledge of procedures to a cloud server, our layout is able to gain as much as an aspect of a thousand velocity-up over the local facts training execution on smart phones.

Key Words

Mobile Computing, Online Social Networks, Quality of Experience, Spice Structure

Cite This Article

"Evaluating the Performance of Spice Framework Using Trace-Driven Emulations on Smartphone’s", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.233-237, June 2019, Available :http://www.jetir.org/papers/JETIRDC06042.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Evaluating the Performance of Spice Framework Using Trace-Driven Emulations on Smartphone’s", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp233-237, June 2019, Available at : http://www.jetir.org/papers/JETIRDC06042.pdf

Publication Details

Published Paper ID: JETIRDC06042
Registration ID: 221870
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 233-237
Country: Chennai, Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162


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