Java server benchmarks

  • Authors:

  • S. J. Baylor;M. Devarakonda;S. J. Fink;E. Gluzberg;M. Kalantar;P. Muttineni;E. Barsness;R. Arora;R. Dimpsey;S. J. Munroe

  • Affiliations:

  • IBM Research Division, Thomas J. Watson Research Center, P.O. Box 704, Yorktown Heights, New York;IBM Research Division, Thomas J. Watson Research Center, P.O. Box 704, Yorktown Heights, New York;IBM Research Division, Thomas J. Watson Research Center, P.O. Box 704, Yorktown Heights, New York;IBM Research Division, Thomas J. Watson Research Center, P.O. Box 704, Yorktown Heights, New York;IBM Research Division, Thomas J. Watson Research Center, P.O. Box 704, Yorktown Heights, New York;EC Cubed, Inc., 15 River Road, Suite 310, Wilton, Connecticut;IBM Software Group, 3605 Highway 52 North, Rochester, Minnesota;IBM Network Computing Software Division, 11400 Burnet Road, Austin, Texas;IBM Network Computing Software Division, 11400 Burnet Road, Austin, Texas;IBM Software Group, Rochester Laboratory, 3605 Highway 52 North, Rochester, Minnesota

  • Venue:
  • IBM Systems Journal
  • Year:
  • 2000

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Abstract

The JavaTM platform has the potential to revolutionize computing, with its promise of "write once, run anywhere"TM development. However, in order to realize this potential, Java applications must demonstrate satisfactory performance. Rapid progress has been made in addressing Java performance, although most of the initial efforts have targeted Java client applications. To make a significant impact in network computing, server applications written in the Java language, or those using Java extensions, frameworks, or components, must exhibit a competitive level of performance. One obstacle to obtaining this goal has been the lack of well-defined, server-specific, Java benchmarks. This paper helps address this shortcoming by defining representative Java server benchmarks. These benchmarks represent server application areas, including Web-based dynamic content delivery (servlets), business object frameworks, and multitier transactional data acquisition. Where applicable, we present benchmarks written using both the Java programming model (i.e., servlets) and the legacy model (i.e., the Common Gateway Interface) for direct comparisons of delivered performance. We also present performance measurements and analysis from multiple IBM server platforms, including both uniprocessor and multiprocessor systems.