I. Introduction
The developed CAPS tool is a .NET application. It can run on any platform supporting .NET Framework. The developed tool Computing Analyzer and
Process Simulator (CAPS) allows the user to make a dynamic presentation on various computing as well as make an analysis on the new computing with the
existing one. It also allows the users to make a distributed environment and perform scheduling on number of jobs. The scheduling policy is taken into consideration
as first-come, first-served (FCFS). Therefore, the main objectives of the CAPS are as follows:
- Presentation of Computing: Presentation of Computing (PoC)
allows the user to make a dynamic presentation on various computing. The user
can also add new computing and then present it.
- Analysis of Computing: Analysis of Computing (AoC) allows
the user to make an analysis on various computing. The user can make an
analysis on specific attributes. The user can also add new attributes for
analysis, if required.
- Simulation of Process Scheduling: Simulation of Process
Scheduling (SoPS) allows the user to make a distributed environment by adding
various resources i.e. processors, memories, files and devices. The user can
then perform scheduling on various jobs in this distributed environment. The
result of the simulation is display in a graphical representation.
II. Overview of the CAPS Tool
The proposed and developed Computing Analyzer and Process Simulator
(CAPS) tool is a simulator which allows the user to make a dynamic presentation
as well as analysis and making distributed environment by adding resources
(such as processors, memory modules, files and devices) and then perform
simulation on various processes using FCFS scheduling policy. Symmetric
multiprocessor scheduling technique has been implemented in the presented CAPS
tool, where all the processors have a common queue of ready processes. The hard
affinity mechanism has been implemented in the developed CAPS tool where
processes are restricted to migrate among processors. Once a process has been
allocated to a CPU, it will complete its execution on that processor only. The
load balancing in the CAPS tool is performed by checking the status of the
processor before assigning a job. The job is assigned to the free processor. In
the case when all the processors are busy in jobs executions then the tool
calculate the waiting time for all the processors and assigns the job to the
processor which have minimum waiting time. It allocates other resources using
the same mechanism as the processor. The arrival time and burst time of the
processes and the resource assignment to each process is manually done by the
user.
III. Operations of CAPS Tool
A. The Operations of the CAPS Tool for Presentation
CAPS tool is a very simple tool which allows the user to make a
dynamic presentation on various computing. The operations of CAPS to give a
presentation on various computing and to add the new computing are shown in
Fig. 1.
Fig. 1: Operation for Computing Presentation
1. Open Computing
The OPEN COMPUTING menu as shown in Fig. 1 allows the user to open the existing
computing for the presentation. When the user clicks on the OPEN COMPUTING submenu,
a new window will be opened as shown in Fig. 2. This window displays all the
existing (already added by the user) computing in the CAPS.
Fig. 2: Open/Edit Computing
The user can select any computing for the presentation and click the OPEN button. On click of OPEN button, presentation
of the selected computing will be started as shown in Fig. 3.
Fig. 3: Presentation of Selected Computing
2. Edit Computing
The EDIT COMPUTING menu as shown in Fig. 1 allows the user to edit the existing computing. When the user clicks
on the EDIT COMPUTING submenu, a new window will be opened as shown in Fig. 4.
Fig. 4: Selected Computing for Updation
This window displays all the existing (already added by the user) computing in the CAPS. The user can select any computing for the presentation
and click the OPEN button. On click of OPEN button, the slide of the selected computing will be opened as shown in Fig. 3.4. NEXT button
open the next slide of the computing. PREVIOUS button opens the previous slide of the computing. FIRST and LAST button opens the first and
last slide of the computing. On click of MODIFY button, the current slide will become editable and the MODIFY button changes to SAVE button.
The user can make changes to the current slide and click the SAVE button. On click of the SAVE button, changes made by the user will be
saved permanently and the SAVE button changes to MODIFY button again.
3. Add Computing
The ADD COMPUTING menu as shown in Fig. 1 allows the user to add the new computing for presentation. When the user
clicks on the ADD COMPUTING submenu, a new window will be opened as shown in Fig. 5.
The user enters the name of the computing to be added and click the ADD button. On click of ADD button, a blank slide will be opened for the user
to enter information about the newly added computing. On click of DONE button, the information entered has been saved. The user can also skip the slide to
enter the information later and move to the previous slide while adding new computing on clicking SKIP button.
Fig 5: Add Computing
Fig 6: New Computing Added Successfully
On click of DONE
button at the last slide which is the REFERENCE slide, a message box
will be prompted with the message ‘COMPUTING NAME has been completed
successfully’ as shown in Fig. 6. When the user clicks on the OK
button of the message box, a new window will be opened as shown in Fig. 7.
This window asks from the user to enter the value of the existing
attribute for the newly added computing. The user enters the attribute value
and click on the DONE button. On click of the DONE button a
message box will be prompted with the message ‘Attributes in COMPUTING NAME
has been added successfully’ as shown in Fig. 7.
Fig 7: Insert Newly Added Computing Attribute’s Value
4. Delete Computing
The DELETE COMPUTING menu as shown in Fig. 1 allows the user to delete the existing computing. When the user clicks on the DELETE
COMPUTING submenu, a new window will be opened as shown in Fig. 8. The user
selects the name of the computing to be deleted and click the DELETE
button. On click of DELETE button, a message box with the message ‘COMPUTING
NAME has been deleted successfully’ will be prompted and the selected
computing will be deleted permanently.
Fig. 8: Delete Computing
B. The Operations Of Caps Tool For Computing Analysis
The basic operation of CAPS to make an analysis on various computing is shown in Fig. 9. The user can select various computing and their attributes for analysis.
Fig. 9: Operation for Computing Analysis
1. Open Comparison
The OPEN COMPARISON menu as shown in Fig. 9 allows the user to make an analysis report on different computing types. When the user clicks on the OPEN
COMPARISON submenu, a new window will be opened as shown in Fig. 10.
Fig. 10: Select Computing
This window displays all the existing computing in the CAPS. The user can select any computing type for the analysis by checking the checkbox against each
computing. The user can also check the CHECK ALL checkbox to select all the computing and can check the UNCHECK ALL checkbox to unselect all the
selected computing. After selection of computing, user click the DONE button.
On click of DONE button a new window will be opened as shown in Fig. 11.
Fig. 11: Select Computing Attributes
The new opened
window displays all the existing attributes in the CAPS. The user can select
any attributes for the analysis by checking the checkbox against each
attribute. The user can also check the CHECK ALL checkbox to select all
the attributes and check the UNCHECK ALL checkbox to unselect all the
selected attributes. After selection of attributes, user clicks the DONE button.
On click of DONE button a new window will be opened as shown in Fig. 12.
Fig. 12: Computing Comparison Table
The new open window displayed in Fig. 12 displays the comparison
among the selected computing types on selected attributes. It also has the
decision making feature which find the best computing among the selected
computing for analysis. The user can also export the result into an excel file
by clicking the ‘Export To Excel’ button.
2. Edit Computing Attributes
The EDIT ATTRIBUTES menu as shown in Fig. 9 allows the user to
edit the value of the existing attributes. When the user clicks on the EDIT
ATTRIBUTES submenu, a new window will be opened as shown in Fig. 13. The
user selects the attribute to be edited and click the DONE button. On
click of DONE button, all the existing computing with the value of the
selected attribute will be displayed. The user can edit the value of the
attributes of any computing, if required. After editing, user click on the UPDATE
button and a message box with the message ‘Attribute has been updated
successfully’ will be prompted as shown in Fig. 13. The changed value of
the attribute has been saved permanently.
Fig. 13: Edit Computing Attributes
1.1.1 Add Computing Attributes
The ADD
ATTRIBUTES menu as shown in Fig. 9 allows the user to add new attributes
for the existing computing. When the user clicks on the ADD ATTRIBUTES
submenu, a new window will be opened as shown in Fig. 14.
Fig 14: Add Computing Attributes
The user enters the name of the attribute and clicks the ADD
button. On click of the ADD button a message box with the message ‘Attribute
has been added successfully’ will be prompted as shown in Fig. 14. On click
of the OK button on the message box, all the existing computing will be
displayed and ask from the user to enter the newly added attribute value. After
entering the attribute value for all the existing computing when user click the
DONE button, a message box with the message ‘Attributes in all
computing has been added successfully’ will be prompted and the newly added
attribute has been added in all existing computing permanently.
3. Delete Computing Attributes
The DELETE COMPUTING ATTRIBUTES
menu as shown in Fig. 9 allows the user to delete the existing attributes. When
the user clicks on the DELETE COMPUTING ATTRIBUTES submenu, a new window
will be opened as shown in Fig. 15.
Fig. 15: Delete Computing Attributes
The user selects the name of the attribute to be deleted and click the DELETE button. On click of DELETE button, a message box with
the message ‘ATTRIBUTE NAME has been deleted successfully’ will be prompted and the selected attribute will be deleted permanently.
C. The Operations Of Caps Tool For Process Simulation
The basic steps required to perform simulation are as follows:
Inputs:
Outputs:
- Get
waiting time, and turnaround time: On click of ‘Submit’ button as
shown in Fig. 17, the simulator performs the FCFS scheduling and calculates the
waiting time and turnaround time for each process. Finally calculates the avg.
waiting time and avg. turnaround time.
Fig. 17: Scheduling Performed (getting waiting time and turnaround time)
- Log the statistics in Excel file: On click of ‘Export
To Excel’ button as shown in Fig. 17, these data (process, arrival, burst,
processor, memory, file, resource, waiting, and turnaround) are exported into
an Excel file.
Fig. 18: Graphical Representation of Processes Execution
- Display the execution of processes in graph representation: On
click of ‘Graph Representation’ button a new window will be
opened. The new window is shown in Fig. 18, representing the execution of
processes. This window represents the execution of processes. The dotted lines
represent the waiting time of the processes, and the solid line represents the
running/execution time of the processes.
Dr. Neelendra Badal is an Assistant Professor in the Department of Computer Science & Engineering at Kamla Nehru Institute of Technology (KNIT), Sultanpur (U.P), INDIA. He received B.E. (1997) from Bundelkhand Institute of Technology (BIET), Jhansi in Computer Science & Engineering, M.E. (2001) in Communication, Control and Networking from Madhav Institute of Technology and Science (MITS), Gwalior and PhD (2009) in Computer Science & Engineering from Motilal Nehru National Institute of Technology (MNNIT), Allahabad. He is Chartered Engineer (CE) from Institution of Engineers (IE), India. He is a Life Member of IE, IETE, ISTE and CSI-India. He has published about 30 papers in International/National Journals, conferences and seminars. His research interests are Distributed System, Parallel Processing, GIS, Data Warehouse & Data mining, Software engineering and Networking.
Hifzan Ahmad is an M.Tech student in Department of Computer Science & Engineering at Kamla Nehru Institute of Technology (KNIT), Sultanpur. He received his B.Tech degree in 2009 from Shambhunath Institute of Engineering & Technology (SIET), Allahabad in Computer Science & Engineering.