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Journals analysis ppt


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journal analysis project

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Journals analysis ppt

  2. 2.  Journal analysis is “a recommended collection of philosophies, phases, procedures, rules, techniqu es, tools, documentations, managements and trainings.” (Avision & Fitxgerald)
  3. 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. 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. 5.  Methodologies Framework
  6. 6.  Methodologies  Hardware Requirements  IBM RS/6000 Scalable Parallel Computer  Sun Enterprise 10000  Software Requirements  Grid Scheduler software
  7. 7. Simulation Parameter Model
  8. 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. 9. Methodology Model Performance Metrics Average Response Time = Completion time - submission time.
  10. 10. 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.
  11. 11. 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).
  12. 12. Journals Environment  Methodologies  Hardware Requirements  Personal Computer (DELL Desktop)  Software Requirements  Grid Computing Middleware/Software (Globus Toolkit 2.2)
  13. 13. Methodologies Framework
  14. 14. Flowchart
  15. 15. 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
  16. 16. 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
  17. 17. 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
  18. 18. 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
  19. 19. System Component  This system component shows the architecture of the integration and the data flow after the Grid has successfully enable and integrated BAC
  20. 20. 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.
  21. 21. 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.
  22. 22. 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.
  23. 23. Methodologies Framework
  24. 24.  Methodology Model Survey Data (Data gathering + Data analysis) Data Collection Analyze the Data Document the Analyzed Data
  25. 25.  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
  26. 26. Methodology Framework Summary
  27. 27. -Thank You-