English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

A key challenge in \cacd\ is determining how to allocate limited serverbandwidth across a large number of files being concurrently served so as tooptimize global performance and cost objectives. In this paper, we present acomprehensive experimental evaluation of strategies to control server bandwidthallocation. As part of this effort, we introduce a new {\em model-based}control approach that relies on an accurate yet concise "cheat sheet" based ona priori offline measurement to predict swarm performance as a function of theserver bandwidth and other swarm parameters. Our evaluation using a prototypesystem, \cs, instantiating static, dynamic, and model-based controllers showsthat static and dynamic controllers can both be suboptimal due to differentreasons. In comparison, a model-based approach consistently outperforms bothstatic and dynamic approaches provided it has access to detailed measurementsin the regime of interest. Nevertheless, the broad applicability of amodel-based approach may be limited in practice because of the overhead ofdeveloping and maintaining a comprehensive measurement-based model of swarmperformance in each regime of interest.

Pros & Cons of Model-based Bandwidth Control for Client-assisted Content Delivery