THEORY EXAMINATION (SEM–VIII) 2016-17 GRID COMPUTING

SECTION – A

Explain the following (Short Answer Type)

Grid computing derivatives include cluster computing, cloud computing, peer-to-peer computing, and distributed computing, all of which share resource-sharing principles.

Applications of grid computing include scientific research, weather forecasting, medical data analysis, financial modeling, and large-scale simulations.

Quality of Service (QoS) features in grid computing include reliability, availability, scalability, security, and performance management.

OGSA (Open Grid Services Architecture) defines standards for grid computing services, OGSI specifies service interfaces, and web services provide communication protocols used in grid systems.

Two commonly understood SOA architectures are provider-consumer architecture and broker-based architecture.

Grid service containers manage execution, security, communication, and lifecycle of grid services.

Features of data grids include distributed data storage, data replication, and secure access to shared resources.

Grid Security Infrastructure (GSI) provides authentication, authorization, and secure communication in grid computing environments.

SOAP (Simple Object Access Protocol) is a messaging protocol used for exchanging structured information in web services.

Grid computing differs from P2P computing because grid systems are centrally coordinated while P2P networks operate in a decentralized manner.

Questions (Section A)

What are derivatives of grid computing?

List applications of grid computing.

What is OGSA?

Define SOAP.

What is GSI?

SECTION – B

Attempt any five (Long Answer Type)

The layered architecture of grid computing includes fabric layer, connectivity layer, resource layer, collective layer, and application layer. Each layer performs specific functions.

Globus Toolkit is a software framework that provides tools and services for building grid computing systems. It supports resource management and security.

OGSA extends web services by adding features such as resource management, service discovery, and interoperability for grid environments.

gLite is grid middleware that provides services for job scheduling, data management, and security in grid computing systems.

Organizations use grid computing to share resources, reduce costs, and solve complex computational problems efficiently.

Data requirements include storage capacity, data sharing, and security, while functional requirements include performance and reliability.

Grid computing architecture relates closely to distributed computing, cloud computing, and web services technologies.

SOAP specification includes message format, communication protocols, and processing rules.

Questions (Section B)

Explain grid layered architecture.

What is Globus Toolkit?

Explain OGSA.

What is gLite middleware?

What are grid computing requirements?

SECTION – C

Attempt any two (Detailed Explanation)

Grid infrastructure includes hardware, software, networks, and services that work together to enable resource sharing in distributed environments.

Web services provide communication between applications, while grid services extend these capabilities to manage distributed resources.

Service data sets store information about grid services, and they can be created manually or dynamically.

Grid middleware includes resource management tools, security services, and communication protocols that support grid operations.

JAMM is a job and resource management system used in grid environments.

WSRF (Web Services Resource Framework) defines standards for managing stateful web services.

Ganglia and GridMon are monitoring tools used for tracking performance in grid computing systems.

LSF-Grid scheduling ensures efficient resource allocation based on Quality of Service requirements.

Questions (Section C)

What is grid infrastructure?

Differentiate web service and grid service.

What is grid middleware?