Distributed Systems §

Group: 4 #group-4

Relations §

• Scalability: Distributed systems must be able to scale to handle increasing workloads.
• Distributed Transactions: Distributed systems must handle transactions that span multiple nodes.
• Decentralization: Decentralization involves the distribution of resources, control, and decision-making across multiple nodes or entities, rather than being concentrated in a single central authority.
• Consensus: Distributed systems use consensus algorithms to ensure consistency and fault tolerance.
• Replication: Data is replicated across multiple nodes in distributed systems for fault tolerance and scalability.
• Decentralized Control: Decentralized control is a key principle in distributed systems, where control and decision-making are distributed across multiple nodes or entities rather than centralized.
• Partitioning: Data and workloads are partitioned across multiple nodes in distributed systems for scalability.
• Consistency: Distributed systems must ensure data consistency across multiple nodes.
• Distributed Systems Monitoring: Monitoring is essential for managing and troubleshooting distributed systems.
• Censorship Resistance: Distributed systems are more resistant to censorship as they lack central points of control or failure.
• Distributed File Systems: Distributed file systems are used to store and manage files in distributed systems.
• Distributed Systems Security: Distributed systems must address security concerns such as authentication, authorization, and encryption.
• Load Balancing: Distributed systems use load balancing to distribute workloads across multiple nodes.
• Decentralized Knowledge: Decentralized knowledge relies on distributed systems to store and share information across multiple nodes or peers.
• Distributed Systems Debugging: Debugging distributed systems is challenging due to their complexity and concurrency.
• Autonomous Systems: Autonomous systems often operate as part of distributed systems, coordinating their actions across multiple nodes.
• Concurrency: Distributed systems must handle concurrent access to shared resources.
• Distributed Computing: Distributed computing is the concept of using multiple computers to solve a single problem.
• Computer Science: Distributed systems involve multiple autonomous computers that communicate and coordinate their actions to achieve a common goal.
• Distributed Systems Architecture: The architecture of a distributed system defines how its components are organized and interact.
• Fault Tolerance: Distributed systems are inherently more fault-tolerant than centralized systems, as they can continue operating even if some components or nodes fail.
• Fault Tolerance: Distributed systems must be resilient to failures of individual components.
• Peer-to-Peer Networks: Peer-to-peer networks are a type of distributed system, where resources and tasks are shared among peers.
• Distributed Databases: Distributed databases are used to store and manage data in distributed systems.
• Distributed Caching: Distributed caching is used to improve performance in distributed systems.
• Distributed Algorithms: Distributed algorithms are used to solve problems in distributed systems.
• Distributed Messaging: Distributed messaging systems are used for communication between components in distributed systems.