Grid computing allows for the sharing and coordinated use of distributed computing resources. It enables organizations to share idle computing systems and resources. Key benefits include exploiting underutilized resources, enabling large-scale parallel processing and collaboration, and providing access to additional resources. Common applications involve scientific research where data is collected and stored across different sites and organizations and requires large-scale analysis.
The networks not present of any centralized or pre-established structure are known as Ad hoc networks. Ad hoc Networks are the class of wireless networks that use multiple hop radio relay. Mobile Ad-hoc Network (MANET) is a combination of wireless mobile nodes and connected other in a dynamic way. ThesisScientist.com
The networks not present of any centralized or pre-established structure are known as Ad hoc networks. Ad hoc Networks are the class of wireless networks that use multiple hop radio relay. Mobile Ad-hoc Network (MANET) is a combination of wireless mobile nodes and connected other in a dynamic way. ThesisScientist.com
John Chiappetta prezo on 5G EdgeComputing and IoT and how interdependent they are.
Held Nov 19, 2019 at Milton Education Village Innovation Centre, Milton, Ontario, Canada.
Learn more here: https://siliconhalton.com/event/meetup-119-what-is-5g-and-edge-computing/
Smart cities are the wave of the future. IoT is also the wave of the future. Together, smart cities that incorporate and take advantage of IoT technology will be at the leading edge of new urban environments.
John Chiappetta prezo on 5G EdgeComputing and IoT and how interdependent they are.
Held Nov 19, 2019 at Milton Education Village Innovation Centre, Milton, Ontario, Canada.
Learn more here: https://siliconhalton.com/event/meetup-119-what-is-5g-and-edge-computing/
Smart cities are the wave of the future. IoT is also the wave of the future. Together, smart cities that incorporate and take advantage of IoT technology will be at the leading edge of new urban environments.
In computing, It is the description about Grid Computing.
It gives deep idea about grid, what is grid computing? , why we need it? , why it is so ? etc. History and Architecture of grid computing is also there. Advantages , disadvantages and conclusion is also included.
I presented this keynote talk at the WorldComp conference in Las Vegas, on July 13, 2009. In it, I summarize what grid is about (focusing in particular on the "integration" function, rather than the "outsourcing" function--what people call "cloud" today), using biomedical examples in particular.
Grid Computing is the emerging technology. you will learn all the stuff related to grid computing in this slides. this slide shows various architecture and its easy explanation.
Grid Computing - Collection of computer resources from multiple locationsDibyadip Das
Grid computing is the collection of computer resources from multiple locations to reach a common goal. The grid can be thought of as a distributed system with non-interactive workloads that involve a large number of files.
Grid computing is the application of several computers to a single problem
at the same time.
This Presentation deals with the idea of Grid Computing, its Design
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68th ICREA Colloquium "The Worldwide LHC Computing Grid: Riding the computing...ICREA
The World Wide Web was invented at CERN in 1991. Construction of CERN's LHC was approved in 1994. Building the data processing system required by LHC's detectors in 1994 would have costed more than the accelerator itself. CERN and data centres from around the world started collaborating in 1999 to prototype and deploy the LHC Computing Grid, the first planetary scale high performance data processing system, which enabled the discovery of the Higgs boson in 2012. A review will be made of these developments, and their relationship to current areas of interest in data processing, such as "Big Data" and digitally supported collaborative science.
I am Tapas Kumar Palei. I am studying B.Tech CSE in Ajay Binay Institute Of Technology. Grid computing is my seminar presentation topic. I try to gather everything about the grid computing in this seminar presentation.
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The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
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This will be used as part of your Personal Professional Portfolio once graded.
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Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
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2. Contents
What is Grid Computing?
Why need grid computing?
Types of grid
Characteristics of Grid
Benefits
Applications
Advantage & Disadvantages
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3. What is Grid Computing?
Allows sharing and coordinated use of diverse resources in
dynamic, distributed “virtual organizations”.
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4. What is a Grid?
Grid Computing is a technique in which the idle systems in the Network and
their “ wasted “ CPU cycles can be efficiently used by uniting pools of servers,
storage systems and networks into a single large virtual system for resource
sharing dynamically at runtime.
These systems can be distributed across the globe; they're heterogeneous
(some PCs, some servers, maybe mainframes and supercomputers);
somewhat autonomous (a Grid can potentially access resources in different
organizations).
Grid computing is form of networking unlike conventional network that
focus on communications among devices.
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5. What is the Grid?
Jane User
Internet
Certificate
Grid Computing Resource
Certificate
Internet
Gatekeeper
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6. Why need Grid Computing?
Exploiting under utilized resources
Parallel CPU capacity
Virtual resources and virtual organizations for collaboration
Access to additional resources
Many large-scale problems cannot be solved by a single
computer
Globally distributed data and resources
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7. Types of Grids
Computational Grid:
A computational grid is focused on setting aside resources specifically for
computing power. In this type of grid, most of the machines are high-
performance servers.
Scavenging grid:
A scavenging grid is most commonly used with large numbers of desktop
machines. Machines are scavenged for available CPU cycles and other
resources. Owners of the desktop machines are usually given control over
when their resources are available to participate in the grid.
Data Grid:
A data grid is responsible for housing and providing access to data across
multiple organizations. Users are not concerned with where this data is
located as long as they have access to the data.
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9. Characteristics of Grids
Grids coordinate resources that are not subject to
centralized control.
Grids use standard, open, general-purpose protocols
and interfaces.
Grids deliver high qualities of service.
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10. Grid User Roles
(A User’s Perspective)
Enrolling and installing grid software
Logging onto the grid
Queries and submitting jobs
Data configuration
Monitoring progress and recovery
Reserving resources
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11. Grid User Roles
(An Administrator’s Perspective)
Planning
Installation
Managing enrollment of donors and users
Certificate authority
Resource management
Data sharing
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12. Issues
Security:
Security issues include secure authentication, access rights and
privileges. Reliable and secure communications, perhaps with
encryption, are also a requirement.
Maintaining confidentiality and privacy will also be issues if you are
transferring personal data.
Performance:
For a grid performance is the main key is to deliver nontrivial
qualities of service “. Some grid services might fall short because the
scattering and gathering steps can incur significant delay.
Grid performances include resource availability and reliability,
utilization and load, response time, delay and delay variation. Data
Integrity is another consideration.
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13. Benefits
(1)BUSSINESS BENEFITS:
Can help improve productivity and collaboration.
Bring together not only IT resources but also people.
Create flexible, resilient operational infrastructures.
(2)INFRASTRUCTURE OPTIMIZATION:
Consolidate workload management.
Reduce cycle times.
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14. Benefits…
(3)INCREASE ACCESS TO DATA AND COLLABORATION:
Federate data and distribute it globally.
Support large multi-disciplinary collaboration..
Enable collaboration across organizations and among businesses.
(4)RESILIENT, HIGHLY AVAILABLE INFRASTRUCTURE:
Balance workloads.
Foster business community
Enable recovery and failure.
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15. ADVANTAGES:
Can solve larger, more complex problems in a shorter time
Easier to collaborate with other organizations
Make better use of existing hardware
DISADVANTAGES:
Grid software and standards are still evolving.
Learning curve to get started.
Non-interactive job submission.
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16. Characteristics of Grid Applications
Data acquired by scientific instruments.
Data are stored in archives on separate, perhaps geographically-
separated sites.
Data are managed by teams belonging to different organizations.
Large quantities of data (tera- or petabytes) are collected.
Software used to analyze and summarize the raw data.
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