Abstract
The evolution of the Web as an enabling tool for e-business introduces a challenge to understanding the execution behavior of large-scale middleware systems, such as J2EE [2], and their commercial workloads. This paper presents a brief description of the whole-stack analysis and optimization system – being developed at IBM Research – for commercial workloads on Websphere Application Server (WAS) [5] – IBM’s implementation of J2EE – running on IBM’s pSeries [4] and zSeries [3] server systems.
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References
HPM Tool Kit, http://www.alphaworks.ibm.com/tech/hpmtoolkit
Java 2 Platform, Enterprise Edition (J2EE), http://java.sun.com/j2ee
Mainframe servers: zSeries, http://www-1.ibm.com/servers/eserver/zseries
IBM pSeries Information Center, http://publib16.boulder.ibm.com/pseries/en_US/infocenter/base
WebSphere Application Server, http://www.ibm.com/websphere
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© 2004 IFIP International Federation for Information Processing
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Attanasio, C.R. et al. (2004). Whole-Stack Analysis and Optimization of Commercial Workloads on Server Systems. In: Jin, H., Gao, G.R., Xu, Z., Chen, H. (eds) Network and Parallel Computing. NPC 2004. Lecture Notes in Computer Science, vol 3222. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30141-7_5
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DOI: https://doi.org/10.1007/978-3-540-30141-7_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23388-6
Online ISBN: 978-3-540-30141-7
eBook Packages: Springer Book Archive