Distributed Systems

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This area deals with the design and development of systems that operate on multiple computers and communicate over a network. It is used in applications such as cloud computing, Internet of Things, and distributed databases.

Distributed Systems Basics: An introductory training to the basic principles of distributed systems.
Distributed Systems Models: Different models of distributed systems, such as peer to peer, client-server, and others.
Network Communication Protocols: TCP, UDP and other network communication protocols, their strengths and weaknesses.
Data Consistency and Replication: Techniques for ensuring data consistency and effective replication across a distributed system network.
Distributed Algorithms: Algorithms designed for data management, consistency, and fault tolerance in distributed systems.
Distributed Data Storage and Access: Methods for storing and accessing data in a distributed system environment.
Distributed Computing Tools and Frameworks: Frameworks and tools used for building distributed systems, including Hadoop, Spark and others.
Security in Distributed Systems: Common security threats and countermeasures for distributed systems.
Scalability in Distributed Systems: Decentralized and scalable distributed systems and architectures.
"A distributed system is a system whose components are located on different networked computers, which communicate and coordinate their actions by passing messages to one another."
"Distributed computing is a field of computer science that studies distributed systems."
"The components of a distributed system interact with one another in order to achieve a common goal."
"Three significant challenges of distributed systems are: maintaining concurrency of components, overcoming the lack of a global clock, and managing the independent failure of components."
"When a component of one system fails, the entire system does not fail."
"Examples of distributed systems vary from SOA-based systems to massively multiplayer online games to peer-to-peer applications."
"A computer program that runs within a distributed system is called a distributed program."
"Distributed programming is the process of writing such programs."
"There are many different types of implementations for the message passing mechanism, including pure HTTP, RPC-like connectors, and message queues."
"Distributed computing also refers to the use of distributed systems to solve computational problems."
"In distributed computing, a problem is divided into many tasks."
"Each task is solved by one or more computers, which communicate with each other via message passing."
"The components of a distributed system... communicate and coordinate their actions by passing messages to one another."
"Maintaining concurrency of components" is a significant challenge in distributed systems.
"Overcoming the lack of a global clock" is a significant challenge in distributed systems.
"Managing the independent failure of components" is a significant challenge in distributed systems.
"When a component of one system fails, the entire system does not fail."
"Examples of distributed systems vary from SOA-based systems to massively multiplayer online games to peer-to-peer applications."
"A computer program that runs within a distributed system is called a distributed program."
"Computers in distributed computing... communicate with each other via message passing."