Maximize the performance and value of any HP-UX 11i systemHP-UX 11i Tuning and Performance takes the guesswork out of maximizing HP-UX 11i performance-so you can quickly maximize the value of any HP-UX system in any environment. Leading HP experts introduce a comprehensive, systematic performance management methodology that addresses every stage in the lifecycle of an HP-UX system.You'll find specific metrics, symptoms and solutions for every key element of an HP-UX 11i system, including hardware, the OS platform, and application development. From start to finish, the emphasis is on practical results-and on understanding the real-world cost/benefit tradeoffs that are central to every tuning project. Coverage includes: A comprehensive optimization methodology, direct from HP's performance labs New optimization opportunities and techniques made possible by HP-UX 11i All-new chapters on network performance and Java performance Rules of thumb for more cost-effective performance management Instrumenting HP-UX 11i systems to accurately reflect reality Choosing the right performance metrics, and using them correctly Key performance tradeoffs in both uniprocessor and SMP environments Practical techniques for resolving CPU, memory, and disk bottlenecks How to make the most of HP-UX specific and generic UNIX performance tools Performance enhancements available through compiler optimization and application profiling Extensive examples from actual HP performance consulting assignmentsWhether you're an HP-UX 11i sysadmin, netadmin, developer, capacity planner, or performance specialist, this is your complete guide to getting all the performance you paid for!
Cited By
Seshadri V, Pekhimenko G, Ruwase O, Mutlu O, Gibbons P, Kozuch M, Mowry T and Chilimbi T (2015). Page overlays, ACM SIGARCH Computer Architecture News, 43:3S, (79-91), Online publication date: 4-Jan-2016.- Seshadri V, Pekhimenko G, Ruwase O, Mutlu O, Gibbons P, Kozuch M, Mowry T and Chilimbi T Page overlays Proceedings of the 42nd Annual International Symposium on Computer Architecture, (79-91)
- Arlitt M, Farkas K, Iyer S, Kumaresan P and Rafaeli S (2010). Systematically improving the quality of IT utilization data, ACM SIGMETRICS Performance Evaluation Review, 37:4, (42-49), Online publication date: 27-Mar-2010.
- Stewart C, Kelly T and Zhang A (2007). Exploiting nonstationarity for performance prediction, ACM SIGOPS Operating Systems Review, 41:3, (31-44), Online publication date: 1-Jun-2007.
- Stewart C, Kelly T and Zhang A Exploiting nonstationarity for performance prediction Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007, (31-44)
Index Terms
- HP-UX 11i Tuning and Performance (2nd Edition)