Final presentasi gnome asia
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Transcript of Final presentasi gnome asia
- 1. An Overview, Maximize The Ability of The GNU/Linux Operating System Using "In Memory Computation" for Academic, Business and Government Anton Siswo Raharjo Ansori
- 2. A little of Myself Member of KLAS (Komunitas Linux Arek Suroboyo) 2008 - Now Lecturer at Telkom University March, 2015 Born : May, 11th 1987 Live in Bandung, Come from Pasuruan Mobile Number : +6282233932728 Email : [email protected] [email protected]
- 3. Who had done it Using application which whole processing is in memory Using General OS More and More Company Image from http://www.welltech.in.ua/images/Linux_Family.jpg
- 4. Who had done it
- 5. Who had done it
- 6. Who had done it
- 7. Who had done it
- 8. Example
- 9. Let's talk about In Memory Computing What is it? Why we need it? Where it can be applied? Cost reduction and calculation Computer Component Network Topology with and Without HDD How we build it What next research Technical Specs Benchmarking Live and Video Demo
- 10. What is In Memory Computing
- 11. What is In Memory Computing Whole OS in Memory
- 12. What is In Memory Computing All OS Processes
- 13. What is In Memory Computing Critical Process Only
- 14. What is In Memory Computing Become Storage as HDD
- 15. What is In Memory Computing Whole OS in Memory All OS Processes Critical Process Only Become Storage as HDD OR
- 16. What is In Memory Computing Put simply, in-memory computing primarily relies on keeping data in a server's RAM as a means of processing at faster speeds. In-memory computing especially applies to processing problems that require extensive access to dataanalytics, reporting or data warehousing, and big data applications. -- IBM --
- 17. Put it Simply
- 18. Put it Simply Whole OS in Memory
- 19. Put it Simply Whole OS in Memory
- 20. Put it Simply Intention? Whole OS in Memory
- 21. Put it Simply Get the maximum performance with the minimum bottleneck Intention? Whole OS in Memory
- 22. CONS of In Memory Computing (1) At this moment: Not yet implemented Data Sync between HOST and In Memory computer Temporary file system data loss at electricity failure
- 23. CONS of In Memory Computing (2) Limited Disk at max memory capacity in 16GB for single Notebook Mounting local disk manually
- 24. Why we need it Better, faster, decision making. This includes the ability to reduce cost, identify competitive opportunities, grow revenue, become more efficient and reduce risk. -- IBM -- General and Specific Purposes System for Realtime processing
- 25. Why we need it Green Technology Easier Maintenance Less Electricity, Less temperature Minimum Drive and OS Error
- 26. Areas which need the most Bottleneck of Storage, Memory and Processor in : Computing Intensive tasks Databases
- 27. Where it can be applied Academic
- 28. Where it can be applied Business
- 29. Where it can be applied Government
- 30. Where it can be applied Software Developer
- 31. Where it can be applied Academic Business Government Software Developer Business
- 32. More specific purposes In daily activity In research for HPC areas Lower cost and greener Labs In Public computer at campus
- 33. More specific purposes For business which need realtime processing For handling big data processing Using in memory computing to minimize hardware maintenance and cost reduction
- 34. More specific purposes Faster compiling Testing system Developing Benchmarking
- 35. Common Computer Component
- 36. Common Computer Network Topology with HDD Computer Computer Computer Computer
- 37. Common Computer Network Topology with HDD Computer switch Computer Computer Computer
- 38. Common Computer Network Topology with HDD switch Server Server Server
- 39. Common Computer Network Topology with HDD Computer switch Server Computer Computer Computer Server Server
- 40. Proposed Computer Network Topology For Non Storage Drive
- 41. Computer Computer Computer Computer
- 42. Computer Computer Computer Computer switch
- 43. Computer Server For Non-Storage Client Computer Computer Computer switch
- 44. Computer switch Server For Non-Storage Client Computer Computer Computer switch
- 45. Computer switch Server For Non-Storage Client Computer Computer Computer Server Web Server Datacenter switch
- 46. What next is Benchmarking
- 47. Phoronix Benchmarking Disk Suite Processor Suite Memory Suite
- 48. Benchmarking MemoryHDD
- 49. Benchmarking SQLite Fail HDD Memory
- 50. Benchmarking MemoryHDD
- 51. In Memory side - Failure
- 52. Benchmarking HDD
- 53. Benchmarking Memory Suite in HDD and Memory Suite in Memory
- 54. Benchmarking MemoryHDD
- 55. Processor Benchmarking Memory HDD
- 56. How we build it Linux In Memory Computing
- 57. How we build it Install
- 58. How we build it Load Linux to Memory at Start Up
- 59. How we build it When Finish, Your Linux at Your RAM
- 60. How we build it
- 61. Let's demo It Building in GNU/Linux OS
- 62. Let's demo It Transfer session at boot up cost up to 10 minutes for 5.3 GB
- 63. Let's demo It Proof of In Memory Computing
- 64. We are Searching for Partnership Research Project and Collaboration
- 65. Tribute to: KLAS (Komunitas Linux Arek Suroboyo) klas.or.id Tel-U (Telkom University) telkomuniversity.ac.id Free and Open Source Licence image Gnome Asia Summit 2015 Everyone who cannot be written their name in here
- 66. Sayonara.... Thank You.... Terima Kasih.... Question Answer and Improvement Sections