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DCC Chapter 1

This document discusses the evolution of computing paradigms from centralized to distributed and cloud computing. It covers key concepts like parallel computing, distributed computing, high-performance computing (HPC), high-throughput computing (HTC), virtual machines, and cloud computing models including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). The document also discusses system models for distributed and cloud computing like clusters, grids, peer-to-peer networks, and internet-based clouds.

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84 views13 pages

DCC Chapter 1

This document discusses the evolution of computing paradigms from centralized to distributed and cloud computing. It covers key concepts like parallel computing, distributed computing, high-performance computing (HPC), high-throughput computing (HTC), virtual machines, and cloud computing models including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). The document also discusses system models for distributed and cloud computing like clusters, grids, peer-to-peer networks, and internet-based clouds.

Uploaded by

kishor rao
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Course: Distributed and Cloud Computing

(20ECSC305)
The Platform Evolution

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Computing paradigms
• Centralized computing: This is a computing paradigm by which all
computer resources are centralized in one physical system.
• Parallel computing: In parallel computing, all processors are either tightly
coupled with centralized shared memory or loosely coupled with
distributed memory.
• Distributed computing: This is a field of computer science/engineering
that studies distributed systems which consists of multiple autonomous
computers, each having its own private memory, communicating through
a computer network
• Cloud computing: An Internet cloud of resources can be either a
centralized or a distributed computing system. The cloud applies parallel
or distributed computing, or both.
02-04-2021 School of Computer Science and Engineering 3
HPC and HTC systems
• Both HPC and HTC systems emphasize parallelism and distributed
computing.
• Future HPC and HTC systems must be able to satisfy this huge demand in
computing power in terms of throughput, efficiency, scalability, and
reliability.
• Meeting these goals requires to yield the following design objectives:
i. Efficiency
ii. Dependability
iii. Adaptation
iv. Flexibility in application development

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The trend toward utility computing

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Virtual Machines and Virtualization Middleware

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Virtual Machine primitive operations

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System Models For Distributed And Cloud Computing
• Clusters of Cooperative Computers

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System Models For Distributed And Cloud Computing
• Computational Grids

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System Models For Distributed And Cloud Computing
• Peer-to-Peer Network Families

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System Models For Distributed And Cloud Computing
• Cloud Computing over the Internet

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The Cloud Landscape
• Infrastructure as a Service (IaaS): This model puts together
infrastructures demanded by users—namely servers, storage, networks,
and the data center fabric. The user can deploy and run on multiple VMs
running guest OSes on specific applications.
• Platform as a Service (PaaS): This model enables the user to deploy user-
built applications onto a virtualized cloud platform. PaaS includes
middleware, databases, development tools.
• Software as a Service (SaaS): This refers to browser-initiated application
software over thousands of paid cloud customers. The SaaS model applies
to business processes, industry applications, consumer relationship
management (CRM) and collaborative applications.

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Thank you

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