Distributed computing

1,768 views

Published on

Published in: Technology
0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
1,768
On SlideShare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
84
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide

Distributed computing

  1. 1. DISTRIBUTED COMPUTING Presented By Keshab Nath
  2. 2. WHAT IS DISTRIBUTED COMPUTING?• A distributed computing system is basically a collection of processors interconnected by a communication network in which each processor has its own local memory and other peripherals, and the communication between any two processors of the system takes place by message passing over the communication network.• Distributed computing utilizes a network of many computers, each accomplishing a portion of an overall task, to achieve a computational result much more quickly than with a single computer.
  3. 3. • In the term distributed computing, the word distributed means spread out across space. Thus, distributed computing is an activity performed on a spatially distributed system.• A distributed system can consist of any number of possible configurations, such as mainframes, personal computers, workstations, minicomputers, and so on.• These networked computers may be in the same room, same campus, same country, or in different continents.
  4. 4. Agent Agent CooperationAgent Cooperation Distribution Distribution Cooperation Distribution Agent Internet Subscription Distribution Job Request Resource Large-scale Management Application
  5. 5. BENEFITS OVER CENTRALIZED SYSTEMScalability:The system can easily be expanded by adding more machines asneeded.Redundancy:Several machines can provide the same services, so if one isunavailable, work does not stop. Additionally, because manysmaller machines can be used, this redundancy does not need tobe prohibitively expensive.
  6. 6. CHARACTERISTICS• Resource sharing• Concurrency• Scalability• Fault tolerance
  7. 7. ARCHITECTUREVarious hardware and software architectures are used fordistributed computing.Categories of architecture are as follows:Client-Server: Client request to the server for dat , thenserver send response to the user.3-tier architecture: Three tier systems move the clientintelligence to a middle tier so that stateless clients can beused.Peer–to-peer: An architecture where there is no specialmachines that provide a service or manage the resources.Peers can serve both as clients and servers.
  8. 8. 3-tier Architecture:
  9. 9. APPLICATIONExamples of commercial Application:• Database Management System• Local intranet• Internet (World Wide Web)
  10. 10. ADVANTAGEEconomics:Computers harnessed together give a better price/performanceratio than mainframes.Speed:A distributed system may have more total computing power thana mainframe.Inherent distribution of application:Some applications are inherently distributed. E.g., an ATM-banking application.
  11. 11. ADVANTAGEReliability:If one machine crashes, the system as a whole can still survive ifyou have multiple server machines and multiple storage devices(redundancy).Extensibility and Incremental growth:Possible to gradually scale up (in terms of processing power andfunctionality) by adding more sources (both hardware andsoftware). This can be done without disruption to the rest of thesystem.
  12. 12. DisadvantagesComplexity:Lack of experience in designing, and implementing a distributedsystem. E.g. which platform (hardware and OS) to use, whichlanguage to use etc.Network Problem:If the network underlying a distributed system saturates or goesdown, then the distributed system will be effectively disabledthus negating most of the advantages of the distributed system.Security:Security is a major hazard since easy access to data means easyaccess to secret data as well.
  13. 13. CONCLUSION• The concept of distributed computing is the most efficient way to achieve the optimization.• Distributed computing is anywhere : intranet, Internet or mobile ubiquitous computing (laptop)• It deals with hardware and software systems, that contain more than one processing / storage and run in concurrently.• Main motivation factor is resource sharing; such as files , printers, web pages or database records.
  14. 14. THANKS……

×