By Topic

Observations on tuning a Java enterprise application for performance and scalability

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $33
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
E. Altman ; IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, NY, USA ; M. Arnold ; R. Bordawekar ; R. M. Delmonico
more authors

Enterprise software shows increasing levels of concurrency and complexity and decreasing think times between user interactions. Such trends are evident in both emerging workloads, such as social networking, and traditional applications, such as banking, for which both query counts and complexity are increasing. Similarly, in today's multicore-processor era, processor core counts double every processor generation. However, not all hardware capacity (e.g., cache, disk, and network capacity) is growing at this core rate. As a result, processor dies will have more cores sharing resources. Personnel associated with our project Multicore Applications Restructured for Scaling started with a well-tuned baseline version of a large multitier commercial workload and worked to efficiently identify a small set of software changes that, together, would lead to improved scaling and performance. This paper reports the required tooling and analysis, software changes, and improvements (factor performance gains). Perhaps most surprising, we found that a small set of code changes allowed major performance gains within a single Java® virtual machine, which has implications for the way in which we develop and deploy software.

Note: The Institute of Electrical and Electronics Engineers, Incorporated is distributing this Article with permission of the International Business Machines Corporation (IBM) who is the exclusive owner. The recipient of this Article may not assign, sublicense, lease, rent or otherwise transfer, reproduce, prepare derivative works, publicly display or perform, or distribute the Article.  

Published in:

IBM Journal of Research and Development  (Volume:54 ,  Issue: 5 )