The document summarizes three journal articles about grid and cloud computing. The first journal investigates the benefits of grid computing technologies for high-performance computing. It uses a case study approach and experimental methodology. Three scenarios are modeled to test average job response times. The second journal aims to develop a prototype integrating grid technologies with NASA's web GIS software. It determines integration models and system architecture through data gathering and analysis. Components are developed and tested within a virtual organization environment. The third journal comprehensively compares grid and cloud computing concepts from different perspectives. It collects data through observations and content analysis of definitions to ensure cloud computing is not just a renaming of grid computing.

1. JOURNALS ANALYSIS
MUHAMMAD HEIKAL BIN YAHYA
2009721661

2.  Journal analysis is “a recommended collection of
philosophies, phases, procedures, rules, techniqu
es, tools, documentations, managements and
trainings.”
(Avision &
Fitxgerald)

3. Journal 1
 Title :On advantages of Grid Computing for
Parallel Job Scheduling
 Author : Carsten Ernemann, Volker
Hamscher, Uwe Schwiegelshohn, Ramin
Yahyapour
 Objectives
 To investigate the benefits of the Grid Computing
technologies for the high-performance parallel
computer environment.

4. Journal Environments
 The researcher in this journal used a case study
and experimental approached as a research type.
The background, current conditions and
environmental interactions were
observed, recorded and one or more variables
are manipulated and the results analyzed for
stages of patterns in relation to internal and
external influences.

5.  Methodologies Framework

6.  Methodologies
 Hardware Requirements
 IBM RS/6000 Scalable Parallel Computer
 Sun Enterprise 10000
 Software Requirements
 Grid Scheduler software

7. Simulation Parameter Model

8. Scenarios Model
 3 Scenarios Models:
 Job Sharing Environment
 all jobs submitted at any site are delegated to the grid
scheduler
 Multi-site Computing
 jobs can be executed crossing the site boundaries instead only
in the local site.
 Local job processing
 local computing resources at the site are dedicated only to its
local users.

9. Methodology Model
Performance Metrics
Average Response Time = Completion time - submission time.

11. Advantages and Disadvantages of
the Used Methodology
 Advantages
 allows for precise control of variables. The purpose of
control is to enable the experimenter to isolate the one
key variable which has been selected to observe its
effect on some other variable.
 can be replicated, so the more often an experiment is
repeated, with the same results obtained, the more
confident we can be that the theory being tested is valid.
 this methodology also can be combined with other
research methods.
 Disadvantages
 Not typical of real life situations. The experiments are
conducted in laboratories so it should be difficult to
generalize findings from experiments because they are
not true in real life situations.

12. Journal 2
 Title: The Integration of Grid Technology with
OGC web Services (OWS) in NWGISS for NASA
EOS Data
 Author : Liping Di, Aijun Chen, Wenli
Yang, Peosheng Zhao
 Objectives
 To develop a prototype that applies Grid Technology
to the earth observation environment through the
integration of the grid Application software with the
NASA Web GIS software suite (NWGISS).

13. Journals Environment
 Methodologies
 Hardware Requirements
 Personal Computer (DELL Desktop)
 Software Requirements
 Grid Computing Middleware/Software (Globus Toolkit 2.2)

14. Methodologies Framework

15. Flowchart

16. Methodology Model
Survey Data (Data gathering + Data analysis)
Determine the Integration Information Model
Determine System Architecture and Data Flow
Examine System Component
Development and Testing

17. Survey Data
 Data gathering involves including the observation
that the machines might be located far apart and
owned by different organizations.
 Data analysis method that has been used closely
related to the statistical analysis since it involves
the manipulation of numerical or categorical data
to predict phenomena, to draw conclusions about
relationships among variables and to generalize
results.
BAC

18. Integration Information Model
 This model shows the basic information and its level
about how the grid technology will be integrate with the
current system OWS. As shown below, OWS works a
application on top of Grid security and information
infrastructures to execute the secure sharing information
and services while the Grid software will work as
security and information infrastructures on top of the
running machine that contain OS and database
management system.
BAC

19. System Architecture and Data Flow
 This part define how to develop the environment
that meet the objectives. Firstly, it establishing the
virtual organization(VO) and certificate
Authorization(CA) based on Globus Toolkit then
the researcher integrate the Globus software with
NWGISS on the VO environment to make
NWGISS grid enable.
BAC

20. System Component
 This system component shows the architecture of
the integration and the data flow after the Grid
has successfully enable and integrated
BAC

21. Development and Testing
 In this phase, all machines in VO have been
installed with Globus Toolkit software and it can
be testing by ensuring that all users can sends
and received the data and services request from
OGC client.

22. Journal 3
 Title :Cloud Computing and Grid Computing 360-Degree
Compared
 Author : Ian Foster,Yong Zhao,Ioan Raicu,ShiyongLu
 Objectives
 To make comparisons between the Grid Computing
concept and Cloud Computing concept from the various
angles.
 Significant Of the Journal
 There are several standards computed by several
organizations claimed that they had developed the ideas of
Grid Computing and Cloud Computing that provide the
computing power. Since that, it is useful to compared both
technologies to ensure that the name of Cloud Computing
is not just a new name of the grid Computing.

23. Journal Environments
 Methodologies
 Data gathering
 The journals used observations are in conjunction with
another data gathering method that is used in other journal
to get the information and answer questions
 Data analysis
 Journal used the content analysis method which is a
research methodology that examines data or phrases within
a wide range of journal. This analysis is necessary in order
to ensure that the content of the test meets its specification.
It is essential in establishing content and constructs validity.

24. Methodologies Framework

25.  Methodology Model
Survey Data (Data gathering + Data analysis)
Data Collection
Analyze the Data
Document the Analyzed Data

26.  Advantages
 can allow for both quantitative and qualitative
operations
 provides insight into complex models of human
thought and language use
 Disadvantages
 extremely time consuming
 not very accurate

27. Methodology Framework Summary

28. -Thank You-