Demo Data from EDBT 2026 / reviewers in the wild / expert
Trevor Armstrong
dblp:08/6340
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-author
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 · 62% Edge and fog computing · 19% Internet architecture and protocols · 19% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Content delivery and video streaming › dynamic content delivery
content update dissemination |
0.1 | 1 | 2006 | Efficient and transparent dynamic content updates for mobile clients · MobiSys 2006 |
Energy-efficient computing › mobile device energy management
mobile device energy saving |
0.1 | 1 | 2006 | Efficient and transparent dynamic content updates for mobile clients · MobiSys 2006 |
Energy-efficient computing
power management |
0.1 | 1 | 2006 | Efficient and transparent dynamic content updates for mobile clients · MobiSys 2006 |
Edge and fog computing › edge caching
content refresh |
0.0 | 1 | 2006 | Efficient and transparent dynamic content updates for mobile clients · MobiSys 2006 |
Methods — techniques the papers use, named apart from their topics
proxy caching · 0.1prefetching · 0.1batching · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Efficient and transparent dynamic content updates for mobile clientsabstractWe introduce a novel infrastructure supporting automatic updates for dynamic content browsing on resource constrained mobile devices. Currently, the client is forced to continuously poll for updates from potentially different data sources, such as, e-commerce, on-line auctions, stock and weather sites, to stay up to date with potential changes in content. We employ a pair of proxies, located on the mobile client and on a fully-connected edge server, respectively, to minimize the battery consumption caused by wireless data transfers to and from the mobile device. The client specifies her interest in changes to specific parts of pages by highlighting portions of already loaded web pages in her browser. The edge proxy polls the web servers involved, and if relevant changes have occurred, it aggregates the updates as one batch to be sent to the client. The proxy running on the mobile device can pull these updates from the edge proxy, either on-demand or periodically, or can listen for "pushed" updates initiated by the edge proxy. We also use SMS messages to indicate available updates and inform the user of which pages have changed. Our approach is fully implemented using two alternative wireless networking technologies, 802.11 and GPRS, and evaluated on real world dynamic content traces. Our evaluation explores the data transfer savings enabled by our proxy-based infrastructure and the energy consumption when using each of the two networking capabilities. Our results show that our proxy system saves data transfers to and from the mobile device by an order of magnitude and battery consumption by up to a factor of 4.5, compared to the client-initiated continuous polling approach. Our results also show even in the case where users never visit the same page twice, energy consumption is reduced by the pre-fetching and batching or our proxy system. Trevor Armstrong, Olivier Trescases, Cristiana Amza, Eyal de Lara |
MobiSys | 1 |