
doi: 10.1007/11558989_13
Syndication of micronews, frequently-updated content on the Web, is currently accomplished with RSS feeds and client applications that poll those feeds. However, providers of RSS content have recently become concerned about the escalating bandwidth demand of RSS readers. Current efforts to address this problem by optimizing the polling behavior of clients sacrifice timeliness without fundamentally improving the scalability of the system. In this paper, we argue for a micronews distribution system called FeedTree, which uses a peer-to-peer overlay network to distribute RSS feed data to subscribers promptly and efficiently. Peers in the network share the bandwidth costs, which reduces the load on the provider, and updated content is delivered to clients as soon as it is available.
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 58 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
