Presentation in GNOME Asia 2015 which focus in the topic of "In Memory Computing" with the tittle An Overview, Maximize the Ability of The GNU/LINUX Operating System using In Memory Computation for Academic, Business and Government. This paper are mainly focus in moving the root file system from storage device into memory (RAM) device, minimizing bottleneck and maximizing performance, benchmarking and a little snippet script how to do that.

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 : raharjo@telkomuniversity.ac.id
masgandhul@gmail.com

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
data–analytics, 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

54. In Memory side - Failure

56. Benchmarking
HDD

57. Benchmarking
Memory Suite in HDD
and
Memory Suite in Memory

63. Benchmarking
MemoryHDD

64. Processor Benchmarking
Memory
HDD

65. How we build it
Linux In Memory Computing

66. How we build it
Install

67. How we build it
Load Linux to Memory at Start Up

68. How we build it
When Finish, Your Linux at Your RAM

69. How we build it

70. Let's demo It
Building in GNU/Linux OS

72. Let's demo It
Transfer session at boot up cost up to 10 minutes for 5.3 GB

73. Let's demo It
Proof of “In Memory Computing”

74. We are Searching for Partnership
Research
Project
and
Collaboration

75. 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

76. Sayonara....
Thank You....
Terima Kasih....
Question Answer
and
Improvement Sections