Title
High-performance evolved packet core signaling and bearer processing on general-purpose processors
Abstract
Telecommunications service providers are exploring the use of standard high-volume servers to reduce total cost of ownership while at the same time increasing flexibility, service velocity, and scalability of network functions. This article characterizes performance of general-purpose processors ??? specifically x86 architecture processors ??? for signaling and bearer processing representative of a wireless carrier???s call model for a Long Term Evolution Evolved Packet Core. A radio access network emulator was used to stimulate an Evolved Packet Core software stack running on an x86 server. The goal was to prove that standard high-volume servers can execute EPC functions per representative market call models, and that workloads can scale across bearer and control plane at line rate without acceleration technologies. A call model was developed to quantify the performance on Intel?? Xeon?? Processor based servers using an LTE traffic simulator and a commercial EPC software stack. The traffic models represent bidirectional real-world network traffic during different times of the day. The results were that the test EPC processed control and user plane traffic with 50,000 subscribers with a total payload of 10 Gb/s downlink + 4.8 Gb/s uplink traffic using five cores for the data plane and eight cores for the rest of the system; and the user plane throughput scaled in a single blade environment to 20 Gb/s per socket or 40 Gb/s for a dual socket blade.
Year
DOI
Venue
2015
10.1109/MNET.2015.7113219
IEEE Network
Keywords
Field
DocType
Computer architecture,Servers,Radio access networks,Virtualization,Network architecture,IP networks,Program processors,Telecommunication network management
Forwarding plane,Computer science,Network packet,Server,Computer network,Network architecture,Throughput,Telecommunications service,Radio access network,Operating system,Scalability
Journal
Volume
Issue
ISSN
29
3
0890-8044
Citations 
PageRank 
References 
15
0.87
0
Authors
7
Name
Order
Citations
PageRank
Brent Hirschman1150.87
Pranav Mehta2150.87
kannan babu ramia3161.21
Ashok Sunder Rajan4150.87
Edwin Dylag5150.87
Ajaypal Singh6150.87
Martin Mcdonald7150.87