Abstract
The explosive and robust growth of the Internet owes a lot to the “end-to-end principle”, which pushes stateful operations to the end-points. The Internet grow both in traffic volume, and in the richness of the applications it supports. A whole new class of applications requires stateful processing.
This paper presents the first workload characterization of stateful networking applications. The analysis emphasizes the study of data cache behaviour. Nevertheless, we also discuss other issues, such as branch prediction, instruction distribution and ILP. Another important contribution is the study of the state categories of the networking applications. The results show an important memory bottleneck that involves new challenges to overcome.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Beale, J., Foster, J.C., Posluns, J., Caswell, B.: Snort 2.0 Intrusion Detection. Syngress Publishing Inc. (2003)
Coretez, G.: Fun with Packets: Designing a Stick, Draft White Paper on Stick, http://www.eurocompton.net/stick/
Cisco IOS NetFlow. http://www.cisco.com/warp/public/732/Tech/nmp/netflow/index.shtml
Argus - Auditing Network Activity. http://www.qosient.com/argus
Snot V0.92 alpha. http://www.stolenshoes.net/sniph/snot-0.92a-README.txt
Cooperative association for internet data analysis. www.caida.org
The Computer Emergency Response Team. http://www.cert.org
The System Administration, Networking and Security Organization. http://www.sans.org
Chandra, P., Hady, F., Yavatkar, R., Bock, T., Cabot, M., Mathew, P.: Benchmarking network processors. In: Proc. NP1, Held in conjunction with HPCA-8, Cambridge, MA, USA (February 2002)
Kohler, E., Li, J., Paxson, V., Shenker, S.: Observed structure of addresses in IP traffic. In: Proc. of the 2nd ACM SIGCOMM Workshop on Internet measurment workshop, Pittsburgh, PA, USA (August 2002)
Kruegel, C., Valeur, F., Vigna, G., Kemmerer, R.: Stateful intrusion detection for high-speed networks. In: Proc. IEEE Symposium Security and Privacy, IEEE Computer Society Press, CA, USA (2002)
Lee, B.K., John, L.K.: Npbench: A benchmark suite for control plane and data plane applications for network processors. In: Proc. of ICCD, San Jose, CA, USA (October 2003)
Melvin, S., Nemirovsky, M., Musoll, E., Huynh, J., Milito, R., Urdaneta, H., Saraf, K.: A massively multithreaded packet processor. In: Proc. of NP2, Held in conjunction with HPCA-9, Anaheim, CA, USA (February 2003)
Memik, G., Mangione-Smith, W.H., Hu, W.: Netbench: A benchmarking suite for network processors. In: Proc. of ICCAD, San Jose, CA, USA (November 2001)
Nemirovsky, A.: Towards characterizing network processors: Needs and challenges. Xstream Logic Inc., white paper (2000)
National lab of applied network research. http://pma.nlanr.net/Traces
Odlyzko, A.M.: Internet traffic growth: Sources and implications. In: Dingel, B.B., Weiershausen, W., Dutta, A.K., Sato, K.-I. (eds.) Proc. SPIE, Optical Transmission Systems and Equipment for WDM Networking II, vol. 5247 (September 2003)
Pang, R., Paxson, V.: A high-level programming environment for packet trace anonymization and transformation. In: Proc. of the ACM SIGCOMM Conference (August 2003)
Roesch, M.: Snort- lightweight intrusion detection for networks. In: LISA. Proc. of the 13th Conference on Systems Administration, Seattle, WA, USA (1999)
Schaelicke, L., Slabach, T., Moore, B., Freeland, C.: Characterizing the performance of network intrusion detection sensors. In: Proc. of RAID-6, Pittsburgh, PA, USA (September 2003)
Srivastava, A., Eustace, A.: ATOM - A system for building customized program analysis tools. In: Proc. ACM SIGPLAN Conf. on Programming Language Design and Implementation, pp. 196–205 (June 1994)
Tullsen, D.M.: Simulation and modeling of a simultaneous multithreading processor. In: 22nd Annual Computer Measurement Group Conference (December 1996)
Verdú, J., García, J., Nemirovsky, M., Valero, M.: Analysis of traffic traces for stateful applications. In: Proc. of NP3, Held in conjunction with HPCA-10, Madrid, Spain (February 2004)
Verdú, J., García, J., Nemirovsky, M., Valero, M.: The Impact of Traffic Aggregation on the Memory Performance of Networking Applications. In: Proc. of MEDEA Workshop, Held in conjunction with PACT-2004, France (September 2004)
Wolf, T., Franklin, M.A.: Commbench - a telecommunications benchmark for network processors. In: Proc. of ISPASS, Austin, TX, USA (April 2000)
Jimenez, D., Lin, C.: Neural methods for dynamic branch prediction. ACM Transactions on Computer Systems 20(4), 369–397 (2002)
Vintan, L., Iridon, M.: Towards a high performance neural branch predictor. In: Proc. of IJCNN, vol. 2, pp. 868–873 (July 1999)
McFarling, S.: Combining Branch Predictors. Technical Report TN-36, Compaq Western Research Lab (June 1993)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Verdú, J., Nemirovsky, M., García, J., Valero, M. (2008). Workload Characterization of Stateful Networking Applications. In: Labarta, J., Joe, K., Sato, T. (eds) High-Performance Computing. ISHPC ALPS 2005 2006. Lecture Notes in Computer Science, vol 4759. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77704-5_11
Download citation
DOI: https://doi.org/10.1007/978-3-540-77704-5_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77703-8
Online ISBN: 978-3-540-77704-5
eBook Packages: Computer ScienceComputer Science (R0)