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

Network function virtualization is a promising technology to simultaneouslysupport multiple services with diverse characteristics and requirements in thefifth generation and beyond networks. In practice, each service consists of apredetermined sequence of functions, called service function chain (SFC),running on a cloud environment. To make different service slices work properlyin harmony, it is crucial to select the cloud nodes to deploy the functions inthe SFC and flexibly route the flow of the services such that these functionsare processed in sequence, the end-to-end (E2E) latency constraints of allservices are guaranteed, and all resource constraints are respected. In thispaper, we propose a new (mixed binary linear program) formulation of the abovenetwork slicing problem that optimizes the system energy efficiency whilejointly considers the resource budget, functional instantiation, flow routing,and E2E latency requirement. Numerical results show the advantage of theproposed formulation compared to the existing ones.

Network Slicing for Service-Oriented Networks with Flexible Routing and Guaranteed E2E Latency