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Distributed Systems

A distributed system refers to the one in which the hardware or software components are located at networked computers communicate and coordinate their actions only by passing messages. A distributed system is a collection of independent entities that cooperate to solve a problem that cannot be solved individually. Concurrency, No global Clock, Independent Failures are the consequences of distributed systems. The Internet , Intranets, Grid Computing, P2P network are some of the examples of distributed system. There are some challenges faced by the distributed systems i.e. Heterogeneity, Security, Scalability, Failure Handling, Concurrency, Transparency, etc. Distributed system is a collection of autonomous computing elements thatappears to its users as a single coherent system. A computing element, which we willgenerally refer to as a node, can be either a hardware device or a software process.

A distributed system consists of a collection of autonomous computers linked by a computer network and equipped with distributed system software. This software enables computers to coordinate their activities and to share the resources of the system hardware, software, and data. Distributing system is an emergence of pervasive networking technology , emergence of ubiquitous computing coupled with the desire to support user mobility , multimedia services and distributed systems as utility. Distributed multimedia systems are live or pre-ordered television broadcasts, video-on-demand, music libraries, audio and video conferencing and so on. Distributed computing as a utility supports Cluster computing, Grid computing and Cloud computing.

Few Topics are:

  • Big Data
  • Cloud
  • Performance
  • Reliability
  • algorithms and architectures
  • distributed system technologies
  • RPC, file systems
  • scalability and fault tolerance
  • system structuring techniques
  • scalability, heterogeneity
  • fault tolerance, load sharing
  • distributed file and information systems
  • naming, directory services
  • resource discovery
  • resource and network management
  • security, privacy, ethics and social issues

Complex Topics are:

  • data communications
  • network architecture and protocols
  • local-area networks
  • concurrency control
  • recovery in distributed systems
  • clock synchronization