26-02-2011, 10:43 AM
PRESENTED BY:
SAI SANDEEP TIIRLANGI
NAGURBABU CHINNAM
[attachment=9150]
ABSTRACT
Today we are in the Internet world and everyone prefers to enjoy fast access to the Internet. But due to multiple downloading, there is a chance that the system hangs up or slows down the performance that leads to the restarting of the entire process from the beginning. This is one of the serious problems that need the attention of the researchers.
So we have taken this problem for our research and in this paper we are providing a layout for implementing our proposed Grid Model that can access the Internet very fast. By using our Grid we can easily download any number of files very fast depending on the number of systems employed in the Grid. We have used the concept of Grid Computing for this purpose.
The Grid formulated by us uses the standard Globus Architecture, which is the only Grid Architecture currently used world wide for developing the Grid. And we have proposed an algorithm for laying our Grid Model that we consider as a blueprint for further implementation. When practically implemented, our Grid provides the user to experience the streak of lightening over the Internet while downloading multiple files.
Key words:
Grid Security Interface (GSI), Global Access to Secondary Storage (GASS), Monitoring and Discovery Service (MDS), Globus Resource Allocation Manager (GRAM).
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).
Although Grid computing is firmly ensconced in the realm of academic and research activities, more and more companies are starting to turn to it for solving hard-nosed, real-world problems.
WHAT IS GRID?
“Resource sharing & coordinated problem solving in dynamic, multi-institutional virtual organizations”.
IMPORTANCE OF GRID COMPUTING
Grid computing is emerging as a viable technology that businesses can use to wring more profits and productivity out of IT resources -- and it's going to be up to you developers and administrators to understand Grid computing and put it to work It's really more about bringing a problem to the computer (or Grid) and getting a solution to that problem. Grid computing is flexible, secure, coordinated resource sharing among dynamic collections of individuals, institutions, and resources. Grid computing enables the virtualization of distributed computing resources such as processing, network bandwidth, and storage capacity to create a single system image, granting users and applications seamless access to vast IT capabilities. Just as an Internet user views a unified instance of content via the World Wide Web, a Grid user essentially sees a single, large, virtual computer.
Grid computing will give worldwide access to a network of distributed resources - CPU cycles, storage capacity, devices for input and output, services, whole applications, and more abstract elements like licenses and certificates.
For example, to solve a compute-intensive problem, the problem is split into multiple tasks that are distributed over local and remote systems, and the individual results are consolidated at the end. Viewed from another perspective, these systems are connected to one big computing Grid. The individual nodes can have different architectures, operating systems, and software versions. Some of the target systems can be clusters of nodes themselves or high performance servers.
WHY GRIDS AND WHY NOW?
• A biochemist exploits 10, 000 computers to screen 100,000 compounds in an hour
• 1,000 physicists worldwide pool resources for petaop analyses of petabytes of data
• Civil engineers collaborate to design, execute, & analyze shake table experiments
• Climate scientists visualize, annotate, & analyze terabyte simulation datasets
• An emergency response team couples real time data, weather model, population data
• A multidisciplinary analysis in aerospace couples code and data in four companies
• A home user invokes architectural design functions at an application service provider
• Scientists working for a multinational soap company design a new product
• A community group pools members’ PCs to analyze alternative designs for a local road
Why Now?
The following are the reasons why now we are concentrating on Grids:
• Moore’s law improvements in computing produce highly functional end systems
• The Internet and burgeoning wired and wireless provide universal connectivity
• Changing modes of working and problem solving emphasize teamwork, computation
• Network exponentials produce dramatic changes in geometry and geography
The network potentials are as follows:
Network vs. computer performance
• Computer speed doubles every 18 months
• Network speed doubles every 9 months
• Difference = order of magnitude per 5 years
SAI SANDEEP TIIRLANGI
NAGURBABU CHINNAM
[attachment=9150]
ABSTRACT
Today we are in the Internet world and everyone prefers to enjoy fast access to the Internet. But due to multiple downloading, there is a chance that the system hangs up or slows down the performance that leads to the restarting of the entire process from the beginning. This is one of the serious problems that need the attention of the researchers.
So we have taken this problem for our research and in this paper we are providing a layout for implementing our proposed Grid Model that can access the Internet very fast. By using our Grid we can easily download any number of files very fast depending on the number of systems employed in the Grid. We have used the concept of Grid Computing for this purpose.
The Grid formulated by us uses the standard Globus Architecture, which is the only Grid Architecture currently used world wide for developing the Grid. And we have proposed an algorithm for laying our Grid Model that we consider as a blueprint for further implementation. When practically implemented, our Grid provides the user to experience the streak of lightening over the Internet while downloading multiple files.
Key words:
Grid Security Interface (GSI), Global Access to Secondary Storage (GASS), Monitoring and Discovery Service (MDS), Globus Resource Allocation Manager (GRAM).
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).
Although Grid computing is firmly ensconced in the realm of academic and research activities, more and more companies are starting to turn to it for solving hard-nosed, real-world problems.
WHAT IS GRID?
“Resource sharing & coordinated problem solving in dynamic, multi-institutional virtual organizations”.
IMPORTANCE OF GRID COMPUTING
Grid computing is emerging as a viable technology that businesses can use to wring more profits and productivity out of IT resources -- and it's going to be up to you developers and administrators to understand Grid computing and put it to work It's really more about bringing a problem to the computer (or Grid) and getting a solution to that problem. Grid computing is flexible, secure, coordinated resource sharing among dynamic collections of individuals, institutions, and resources. Grid computing enables the virtualization of distributed computing resources such as processing, network bandwidth, and storage capacity to create a single system image, granting users and applications seamless access to vast IT capabilities. Just as an Internet user views a unified instance of content via the World Wide Web, a Grid user essentially sees a single, large, virtual computer.
Grid computing will give worldwide access to a network of distributed resources - CPU cycles, storage capacity, devices for input and output, services, whole applications, and more abstract elements like licenses and certificates.
For example, to solve a compute-intensive problem, the problem is split into multiple tasks that are distributed over local and remote systems, and the individual results are consolidated at the end. Viewed from another perspective, these systems are connected to one big computing Grid. The individual nodes can have different architectures, operating systems, and software versions. Some of the target systems can be clusters of nodes themselves or high performance servers.
WHY GRIDS AND WHY NOW?
• A biochemist exploits 10, 000 computers to screen 100,000 compounds in an hour
• 1,000 physicists worldwide pool resources for petaop analyses of petabytes of data
• Civil engineers collaborate to design, execute, & analyze shake table experiments
• Climate scientists visualize, annotate, & analyze terabyte simulation datasets
• An emergency response team couples real time data, weather model, population data
• A multidisciplinary analysis in aerospace couples code and data in four companies
• A home user invokes architectural design functions at an application service provider
• Scientists working for a multinational soap company design a new product
• A community group pools members’ PCs to analyze alternative designs for a local road
Why Now?
The following are the reasons why now we are concentrating on Grids:
• Moore’s law improvements in computing produce highly functional end systems
• The Internet and burgeoning wired and wireless provide universal connectivity
• Changing modes of working and problem solving emphasize teamwork, computation
• Network exponentials produce dramatic changes in geometry and geography
The network potentials are as follows:
Network vs. computer performance
• Computer speed doubles every 18 months
• Network speed doubles every 9 months
• Difference = order of magnitude per 5 years
