Title
Framework for supporting multi-service edge packet processing on network processors
Abstract
Network edge packet-processing systems, as are commonly implemented on network processor platforms, are increasingly required to support a rich set of services. These multi-service systems are also subjected to widely varying and unpredictable traffic. Current network processor systems do not simultaneously deal well with a variety of services and fluctuating workloads. For example, current methods of worst-case, static provisioning can meet performance requirements for any workload, but provisioning each service for its worst case reduces the total number of services that can be supported. Alternately, profile-driven automatic-partitioning compilers create efficient binaries for multi-service applications for specific workloads but they are sensitive to workload fluctuations. Run-time adaptation is a potential solution to this problem. With run-time adaptation, the mapping of services to system resources can be dynamically adjusted based on the workload. We have implemented an adaptive system that automatically changes the mapping of services to processors, and handles migration of services between different processor core types to match the current workload. In this paper we explain our adaptive system built on the Intelreg IXP2400 network processor. We demonstrate that it outperforms multiple different profile-driven compiled solutions for most workloads and performs within 20% of the optimal compiled solution for the remaining workloads.
Year
DOI
Venue
2005
10.1145/1095890.1095913
Princeton, NJ
Keywords
Field
DocType
run-time adaptation,network processor platform,multi-service edge packet processing,remaining workloads,current network processor system,network edge,current workload,different processor core type,ixp2400 network processor,adaptive system,fluctuating workloads,linux,optimizing compiler,network processor,adaptive systems,resource management,network processors,kernel,service system
Network processor,Adaptive system,Computer science,Workload,Computer network,Real-time computing,Provisioning,Edge device,Packet processing,Throughput,Multi-core processor,Distributed computing
Conference
ISBN
Citations 
PageRank 
1-59593-082-5
7
0.55
References 
Authors
17
4
Name
Order
Citations
PageRank
Arun Raghunath1172.51
Aaron Kunze2372.04
Erik J. Johnson3423.37
Vinod Balakrishnan470.55