1 / 16

Lecture 1 Distributed Computing Overview

Lecture 1 Distributed Computing Overview. Introduction. What is computer In 1984, John Gage of Sun Microsystems created the slogan, “ The network is the computer .” In 2008, David Patterson of UC Berkeley said, “ The data center is the computer ”.

dori
Télécharger la présentation

Lecture 1 Distributed Computing Overview

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Lecture 1 Distributed Computing Overview

  2. Introduction • What is computer • In 1984, John Gage of Sun Microsystems created the slogan, “The network is the computer.” • In 2008, David Patterson of UC Berkeley said, “The data center is the computer”. • Recently, RajkumarBuyya of Melbourne University simply said: “The cloud is the computer.”

  3. The modern computer system is a distributed system. • Why modern computer system must be a distributed system? • High Performance Computing (HPC) • High Throughput Computing (HTC)

  4. What is Distributed System • Distributed computing systems are built over a large number of autonomous computer nodes. These node machines are interconnected by SANs, LANs, or WANs in a hierarchical manner.

  5. Classification of Distributed Computing Systems

  6. Clusters of Computers • A computing cluster consists of interconnected stand-alone computers which work cooperatively as a single integrated computing resource. • In the past, clustered computer systems have demonstrated impressive results in handling heavy workloads with large data sets.

  7. Cluster Architecture

  8. Single System Image • A cluster should merge multiple system images into a single-system image (SSI). • An SSI is an illusion created by software or hardware that presents a collection of resources as one integrated, powerful resource. • Some cluster middleware is needed to support SSI at various levels, including the sharing of CPUs, memory, and I/O across all cluster nodes.

  9. Grid Computing System • Grid computing is the federation of computer clusters (especially supercomputers) from multiple locations. • The purpose of grid computing is to provide massive computing powers in the same way as electric utility power grid providing electric power. • The benefits of grid computing • More users can use supercomputing powers • Massive computing powers can be applied to solve very complex problems.

  10. An example of computing grid – TeraGrid • The US National Science Foundation (NSF) issued a solicitation asking for a "distributed terascalefacility“, which aims to making available supercomputers to the nation's scientific research community.

  11. Images from https://engineering.purdue.edu/Engr/AboutUs/News/Publications/EngEdge/2004/TeraGridSupercomputerNetworks

  12. Peer-to-Peer Networks • The P2P architecture offers a distributed model of networked systems. • Every node acts as both a client and a server, providing part of the system resources. • All machines act autonomously to join or leave the system freely • P2P system uses distributed control (no master-slave relationship exists among the peers).

  13. P2P Architecture

  14. P2P Families

  15. Cloud Computing • Definition by NIST Cloud Computing is a model for enabling convenient, on-demand network access to a shared pool of conifgurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction.

More Related