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Introduction

The revolutionary changes in technologies brought the scientific and engineering communities to embrace grid technology. The new scientific applications are having challenging demands of data, computing power, instrumentation intensive science and importance for collaboration. Major initiatives are underway worldwide, aimed variously, at supporting major science and grid research projects, developing and facilitating grid technologies. The technology improvements with collaborative science enabled by quasi-ubiquitous internet, drives the grid technology to offer a Global Cyber Infrastructure on which new scientific and engineering research can be pursued with increased efficiency.

Garuda

C-DAC launched the Indian National Grid Computing Initiative - GARUDA, with a vision to facilitate solutions to scientific, engineering and socio-economic development. GARUDA is a collaboration of scientific and technological researchers on a nation wide grid comprising of computational nodes, mass storage and scientific instruments. The aim is to provide the technological advances required to enable data and compute intensive science and engineering applications for the 21st Century. One of GARUDA's most important challenges is to strike the right balance between researchers, and deployment of the innovation into complex scientific and engineering endeavors undertaken today.

Grid ComputingGrid Computing

The Department of Information Technology (DIT), Government of India has funded the Centre for Development of Advanced Computing (C-DAC) to deploy the nation-wide computational grid 'GARUDA' which will connect 17 cities across the country, with an aim to bring "Grid" networked computing to research labs and industry. A total of 45 institutions have been connected during the Proof of Concept phase of Garuda.

The following are the various technology components of GARUDA:

Grid Middleware Engineering

  • Enabling SOA on GARUDA
  • Compiler Service

Tools

  • Monitoring tool - Paryavekshanam
  • Integrated Development Environment - GIDE
  • Grid Debugger - Gridhra
  • Grid Service Generator - Automatic Grid Service Generator
  • GARUDA Distribution Package - SIGMA
  • Portal
  • IGCA - Indian Grid Certification Authority
  • Data Grid Solutions - SRB

Grid Applications

  • Disaster Management
  • Protein Structure Prediction
  • EU-India Grid

Grid Users

  • GARUDA Grid Operation & Administration
  • GARUDA Partners Information

Grid Infrastructure

  • GARUDA Backbone - NKN
  • GARUDA Resource Information

The Indian Grid Certification Authority(IGCA) provides X.509 certificates to support the secure environment in grid computing. IGCA is an accredited member of the APgridPMA (Asia Pacific Grid Policy Management Authority) for Grid Authentication. IGCA is located at Centre For Development of Advanced Computing(C-DAC), Knowledge Park, Bangalore, India.
We issue User Certificates and Host Certificates to users of GARUDA Grid, Foreign collaborators or institutes related to Grid research and scientific collaborations from India.

  • High Performance Computing,
  • Grid & Cloud Computing
  • Multilingual Computing & Heritage Computing
  • Professional Electronics,
  • VLSI & Embedded Systems
  • Software Technologies including FOSS
  • Cyber Security & Cyber Forensics
  • Health Informatics
  • Education & Training

 High Performance Computing; Grid & Cloud Computing

  • Supercomputing Systems
  • National Supercomputing Facilities
  • Supercomputing Applications
  • Supercomputing Solutions
  • Grid Computing
  • Cloud Computing
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FAQs on Grid Computing - General Awareness & Knowledge - Bank Exams

1. What is grid computing?
Ans. Grid computing is a distributed computing model that allows organizations to harness the power of multiple computers and resources to solve complex problems or perform large-scale computations.
2. How does grid computing work?
Ans. In grid computing, tasks are divided into smaller sub-tasks that can be distributed across multiple computers or resources. These computers or resources are connected through a network and work together to complete the tasks. Grid computing uses middleware software to manage and coordinate the distribution of tasks and resources.
3. What are the benefits of grid computing?
Ans. Grid computing offers several benefits, including increased computational power, improved efficiency, and cost savings. It allows organizations to utilize idle or underutilized resources, reducing the need for additional hardware. Grid computing also enables collaboration and resource sharing among different organizations or research communities.
4. What are some real-world applications of grid computing?
Ans. Grid computing finds applications in various fields, such as scientific research, weather forecasting, drug discovery, financial modeling, and data analysis. It can be used for tasks that require significant computational power, large datasets, or distributed processing, such as simulating climate change, analyzing genetic data, or optimizing complex algorithms.
5. What are the challenges in implementing grid computing?
Ans. Implementing grid computing can pose challenges such as ensuring security and privacy of data, managing heterogeneous resources and software, and dealing with scalability issues. It requires appropriate infrastructure, network connectivity, and coordination among different organizations or entities participating in the grid. Additionally, grid computing systems may require specialized expertise and training for efficient operation and maintenance.
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