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Tuikku Anttila

dblp:167/5963 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Energy-efficient computing · 100%
Computer networks
1 paper
Content delivery and video streaming · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Energy-efficient computing › mobile device energy management
mobile device energy saving
0.212015
Poster: Extremely Parallel Resource Pre-Fetching for Energy Optimized Mobile Web Browsing · MobiCom 2015
Energy-efficient computing › energy-efficient software
web browsing energy optimization
0.212015
Poster: Extremely Parallel Resource Pre-Fetching for Energy Optimized Mobile Web Browsing · MobiCom 2015
Content delivery and video streaming › prefetching
web prefetching
0.112015
Poster: Extremely Parallel Resource Pre-Fetching for Energy Optimized Mobile Web Browsing · MobiCom 2015
YearPublicationVenuePosition
2015 Poster: Extremely Parallel Resource Pre-Fetching for Energy Optimized Mobile Web Browsing
abstract
Mobile web browsing is experienced slow because of the limited rendering capability of the mobile devices, wireless latency, and incremental rendering of the page or resource loading. The browser renders resources in between two consecutive resource downloads. However, during this period, the wireless interfaces consume energy doing nothing useful. In this work, we measure the performance of SPDY for mobile web browsing. We demonstrate that mobile devices waste energy by keeping the wireless network interface idle between consecutive resource downloads. We next show that by identifying the embedded resources in a web page and downloading those resources in parallel at the very beginning can reduce the small idle periods and thus energy consumption by 20-50%, depending on the wireless network type.
Mohammad Ashraful Hoque, Sasu Tarkoma, Tuikku Anttila
MobiCom3