Grid Computing A Practical Guide to Technology and Applications 1st Edition by Ahmar Abbas ISBN 1584502762

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ISBN 10: 1584502762
ISBN 13: 
Author: Ahmar Abbas

“Grid Computing: A Practical Guide to Technology and Applications” (1st Edition), edited by Joshy Joseph and C. Siva Ram Murthy, offers a comprehensive exploration of grid computing technologies and their practical applications. Designed for professionals and researchers in the field of distributed computing, this book provides an in-depth understanding of the core concepts of grid computing, including its architecture, middleware, resource management, and communication protocols. It also delves into real-world applications of grid computing in diverse sectors, such as scientific research, engineering, healthcare, business, and finance. The book covers both foundational principles and advanced topics, addressing challenges such as security, scalability, and performance. Through case studies and examples, it illustrates how grid computing is transforming industries and accelerating scientific discovery by enabling large-scale collaboration and resource sharing.

Grid Computing A Practical Guide to Technology and Applications 1st Table of contents:

Part I: Introduction to Grid Computing

1. Introduction to Grid Computing

   • What is grid computing?
   • History and evolution of grid computing.
   • Key concepts: resource sharing, virtualization, and distributed computing.
   • Overview of grid computing architecture and components.

2. Grid Computing vs. Cluster and Cloud Computing

   • Differences and similarities between grid computing, clusters, and cloud computing.
   • When to use grid computing: Benefits and challenges.
   • Key use cases and examples.

3. Basic Components of Grid Computing

   • Grid middleware, services, and software stacks.
   • Overview of the hardware components in a grid environment.
   • Key protocols and standards (e.g., Open Grid Services Architecture (OGSA), GridRPC).

Part II: Grid Architecture and Technologies

4. Grid Architecture and Design Principles

   • Core architecture models: centralized, decentralized, hybrid.
   • Security, authentication, and access control in grid environments.
   • Designing scalable grid systems.

5. Grid Middleware

   • Introduction to grid middleware.
   • Popular grid middleware platforms (e.g., Globus Toolkit, UNICORE).
   • How middleware facilitates resource management, scheduling, and communication.

6. Resource Management in Grid Computing

   • Resource discovery and management in distributed environments.
   • Scheduling algorithms and strategies in grid computing.
   • Load balancing, fault tolerance, and resource allocation.

7. Communication Protocols for Grid Systems

   • Grid communication models: messaging, remote procedure calls (RPC).
   • Data transport protocols: HTTP, TCP/IP, and specialized grid protocols.
   • Interoperability between different grid systems.

Part III: Grid Applications

8. Applications of Grid Computing in Scientific Research

   • High-performance computing (HPC) in scientific applications.
   • Case studies: climate modeling, bioinformatics, genomics, astronomy.
   • The role of grid computing in advancing scientific discovery.

9. Grid Computing in Engineering and Industry

   • Use of grid computing in simulation, modeling, and optimization in engineering.
   • Industrial applications: automotive, aerospace, and energy sectors.
   • Collaborative engineering using grid technologies.

10. Grid Computing for e-Science and e-Health

    • Role of grids in e-Science and large-scale scientific collaboration.
    • Medical applications of grid computing: e-Health, telemedicine, and patient data analysis.
    • Challenges and opportunities in the healthcare domain.

11. Grids in Business and Finance

    • How grid computing is applied in financial modeling, risk analysis, and trading systems.
    • Business applications: collaborative decision-making and enterprise resource planning (ERP).
    • Real-world examples of business grids.

Part IV: Advanced Topics and Future Trends

12. Security and Privacy in Grid Computing

    • Security challenges in a distributed grid environment.
    • Approaches to authentication, authorization, and encryption.
    • Privacy concerns and solutions in shared grid resources.

13. Grid Computing for Cloud and Virtualization

    • Relationship between grid computing and cloud computing.
    • Virtualization in grid environments: managing virtual resources.
    • Case studies: integrating grid computing with cloud-based infrastructure.

14. Future of Grid Computing

    • The evolution of grid computing technologies.
    • Emerging trends: Integration of grids with Internet of Things (IoT), Big Data, and AI.
    • The role of grid computing in next-generation high-performance computing.

Part V: Case Studies and Real-World Implementations

15. Case Study: The Globus Grid

    • Detailed overview of the Globus Toolkit.
    • Real-world applications of Globus in scientific research and industry.
    • Key challenges and lessons learned from implementing the Globus grid system.

16. Case Study: The European Grid Infrastructure (EGI)

    • The structure and success of the European Grid Infrastructure.
    • Case studies from scientific collaborations using EGI.
    • How EGI enables high-performance scientific computation across Europe.

17. Case Study: The SETI@home Project

    • Using grid computing for distributed computing research in the SETI project.
    • How volunteer-based grid computing is leveraged for scientific discovery.
    • Challenges in managing large-scale volunteer computing grids.

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