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/

Zendy Pro

Presents the zaia usage as premium feature

ZAIA

Presents AI Discovery search usage as a premium feature

AI Discovery

Presents AI Discovery explain and summary usage as a premium feature

Content Analysis

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Presents the pdf analysis as premium feature

PDF Analysis

1500 Top-up

3000 Top-up

Zendy Basic

2500 Top-up

Zendy Unlimited

Presents the access of premium content as premium feature

Premium Content

Software routers promise to enable the fast deployment of new, sophisticated kinds of packet processing without the need to buy and deploy expensive new equipment. The challenge is offering such programmability while at the same time achieving a competitive level of performance. Recent work has demonstrated that software routers are capable of high performance, but only for conventional, simple workloads (like packet forwarding and IP routing) and, even that, after careful manual calibration. In contrast, we are interested in achieving high performance in the context of a software router running multiple sophisticated packet-processing applications. In particular: first, we identify the main factors that affect packet-processing performance on a modern multicore general-purpose server---cache misses, cache contention, load-balancing across processing cores; then, we formulate an optimization problem that takes as input a particular server architecture and a packet processing flow, and determines how to parallelize the router's functionality across the available cores so as to maximize its throughput.

Controlling parallelism in a multicore software router