Presentation is loading. Please wait.

Presentation is loading. Please wait.

Distributed computing deals with hardware

Similar presentations


Presentation on theme: "Distributed computing deals with hardware"— Presentation transcript:

1

2 Distributed computing deals with hardware
and software systems containing more than one processing element or storage element concurrent processes, or multiple programs running under a loosely or tightly controlled regime. In distributed computing a program is split up into parts that run simultaneously on multiple computers communicating over a network. Distributed computing is a form of parallel computing

3

4 INTRODUCTION TO CLUSTER COMPUTING
A computer cluster is a group of loosely coupled computers that work together closely so that in many respects. It can be viewed as though it were a single computer. Clusters are commonly connected through fast local area networks Clusters are usually deployed to improve speed and/or reliability over that provided by a single computer, while typically being much more cost effective than single computer the of comparable speed or reliability

5 CLUSTER COMPUTING

6 TYPES OF CLUSTER High Availability or Failover Clusters
2. Load Balancing Cluster 3. Parallel / Distributed Processing Clusters

7 CLUSTER COMPONENT The basic building blocks of clusters are broken
Down into multiple categories. Cluster Nodes Cluster Network Network Characterization

8 PEER TO PEER SYSTEM

9 WHAT IS PEER TO PEER ARCHITECTURE
Peer to peer is a type of architecture in which nodes are interconnected with each other and share resources with each other without the central controlling server P2P system allows us to construct such a distributed system or a application in which all resources and data is contributed by the hosts over the network.

10 PEER TO PEER MODELS Purely Decentralized System Centralized System
Hybird System Purely Decentralized Model :- It is a type of model in which there is not central sever all nodes a re acting as both client and server all are getting and sending data to each other no server is managing them. Advantages: i.) High Performance ii.) Failure of single node doesn’t fails whole network. iii.) Easily scalable and robustness. Disadvantages: i.) We cannot administrate the network. ii.) Cannot filter the network traffic that what files are being shared. iii.) Locating peers and offering Services is a challenging tasks.


Download ppt "Distributed computing deals with hardware"

Similar presentations


Ads by Google