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Method of monitoring resource usage in computing environment 원문보기

IPC분류정보
국가/구분 United States(US) Patent 등록
국제특허분류(IPC7판)
  • G06F-015/173
  • G06F-009/455
출원번호 US-0270137 (2005-11-08)
등록번호 US-8230059 (2012-07-24)
발명자 / 주소
  • Santos, Jose Renato
  • Menon, Aravind
  • Turner, Yoshio Frank
  • Janakiraman, Gopalakrishnan
출원인 / 주소
  • Hewlett-Packard Development Company, L.P.
인용정보 피인용 횟수 : 35  인용 특허 : 5

초록

An embodiment of monitoring resource usage in a computing environment begins with a first client registering a session with a monitoring entity. The session comprises an event type, a count, a start condition, an end condition, and a sample type. Next, a second client registers with the session. Upo

대표청구항

1. A method of monitoring resource usage in a computing environment comprising the steps of: a first client computing entity registering a resource monitoring session with a resource monitoring entity in the computing environment that comprises hardware, the resource monitoring session comprising an

이 특허에 인용된 특허 (5)

  1. Berry, Robert Francis; Hussain, Riaz Y.; Levine, Frank Eliot; Urquhart, Robert J., Method and system for SMP profiling using synchronized or nonsynchronized metric variables with support across multiple systems.
  2. Cascaval, Gheorghe C.; Duesterwald, Evelyn; Sweeney, Peter F.; Wisniewski, Robert W., Method for vertical integrated performance and environment monitoring.
  3. Janakiraman, Gopalakrishnan; Menon, Aravind; Santos, Jose Renato; Turner, Yoshio Frank, Method of virtualizing counter in computer system.
  4. Chu, Gigi; Burdick, Matt; Bhide, Shekhar; Dickson, Craig; Verma, Sudanshu; Leong, John; Davis, Chris, Methods and apparatus for monitoring end-user experience in a distributed network.
  5. Berry, Robert Francis; Levine, Frank Eliot, Minimizing profiling-related perturbation using periodic contextual information.

이 특허를 인용한 특허 (35)

  1. Lepeska, Peter; Sebastian, William B., Assisted browsing using hinting functionality.
  2. Lepeska, Peter; Sebastian, William B., Browser based feedback for optimized web browsing.
  3. Lepeska, Peter; Sebastian, William B., Browser optimization through user history analysis.
  4. Furukawa, Eiji, Calculating amount of power consumed by a user's application in multi-user computing environment basing upon counters information.
  5. Sebastian, William B.; Lepeska, Peter, Content set based deltacasting.
  6. Sebastian, William B.; Lepeska, Peter, Content set based pre-positioning.
  7. Sebastian, William B.; Lepeska, Peter, Correlative anticipatory deltacasting.
  8. Sebastian, William B.; Lepeska, Peter, Correlative anticipatory deltacasting.
  9. Sebastian, William B.; Lepeska, Peter, Correlative anticipatory deltacasting.
  10. Horsnell, Matthew James; Emmons, Christopher Daniel, Data processing apparatus and method and method for generating performance monitoring interrupt signal based on first event counter and second event counter.
  11. Sebastian, William B.; Lepeska, Peter, Deltacasting.
  12. Sebastian, William B., Deltacasting for overlapping requests.
  13. Sebastian, William B., Deltacasting for overlapping requests.
  14. Zhang, Hui; Arora, Nipun; Rhee, Junghwan; Ma, Kai; Jiang, Guofei, Dynamic function-level hardware performance profiling for application performance analysis.
  15. Muller, Leslie, Method and system for managing virtual and real machines.
  16. Muller, Leslie, Methods and systems for managing virtual and real machines.
  17. DeHaan, Michael Paul, Monitoring software provisioning.
  18. Lerner, David, Opportunistic content delivery using delta coding.
  19. Dankberg, Mark D.; Newman, Daniel M., Opportunistic delivery of cacheable content in a communications network.
  20. Knauth, Laura A.; Irelan, Peggy J., Performance monitoring of shared processing resources.
  21. Buchard, Artur Tadeusz; Kourzanov, Petr; Kersten, Ger, Profile based optimization of processor operating points.
  22. Chong, Kelvin Voon-Kit; Mandyam, Srinivas A.; Vedati, Krishna, Programming learning center.
  23. Lepeska, Peter; Sebastian, William B., Progressive prefetching.
  24. Maniscalco, Michael; Sebastian, William B., Selective prefetch scanning.
  25. Maniscalco, Michael; Sebastian, William B., Selective prefetch scanning.
  26. Sebastian, William B.; Newman, Dan, Self-keyed protection of anticipatory content.
  27. Sebastian, William B.; Newman, Dan, Self-keyed protection of anticipatory content.
  28. Lepeska, Peter; Sebastian, William B., Static tracker.
  29. Lepeska, Peter; Sebastian, William B., Static tracker.
  30. Lepeska, Peter; Sebastian, William B., Static tracker.
  31. Chong, Kelvin Voon-Kit; Mandyam, Srinivas A.; Vedati, Krishna; Mandyam, Vidya S., Systems and methods for goal-based programming instruction.
  32. Sebastian, William B., Transport protocol for anticipatory content.
  33. Sebastian, William B., Transport protocol for anticipatory content.
  34. Taheri, Reza; Saladi, Kalyan; Hecht, Daniel Michael; Heo, Jin; Buell, Jeffrey, Virtual performance monitoring decoupled from hardware performance-monitoring units.
  35. Sebastian, William B.; Lepeska, Peter, Web hierarchy modeling.
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