A clustered system is a group of interconnected computers working together as a single system to provide high availability and scalability, while a distributed system is a collection of independent computers that appear to users as a single coherent system, typically spread across multiple locations. In a clustered system, nodes are usually physically close to each other and tightly connected, while in a distributed system, nodes can be geographically dispersed and connected through a network.
Distributed processing involves multiple interconnected systems working together to complete a task, with each system performing a different part of the task. Parallel processing, on the other hand, involves breaking down a task into smaller sub-tasks and executing them simultaneously using multiple processors within the same system. In distributed processing, systems may be geographically dispersed, while parallel processing occurs within a single system.
Web services are a type of communication protocol that allows different applications to communicate over a network using standard web technologies like HTTP, XML, and SOAP. A distributed object system, on the other hand, is a system that enables objects to communicate and interact with each other across a network, often using specific middleware such as CORBA or DCOM. While both aim to facilitate communication between distributed systems, web services are more platform-independent and use standard web protocols, while distributed object systems are often tied to specific middleware technologies.
Distributed systems refer to a network of independent computers that work together to achieve a common goal, while distributed database systems specifically involve databases that are spread across multiple locations. Distributed database systems focus on storing and managing data across various nodes in a network, whereas distributed systems are more general and encompass a broader range of functionalities beyond data management.
Distributed databases offer advantages such as improved scalability, increased availability, and better fault tolerance compared to centralized databases. They also provide better performance by reducing network latency and enabling data to be processed closer to where it is needed. Additionally, distributed databases can offer better data security by replicating data across multiple locations.
Centralized databases offer easier management and maintenance due to a single point of control, while distributed databases provide better scalability, fault tolerance, and performance due to data distribution. Centralized databases are simpler to design and enforce consistency but can become a single point of failure, whereas distributed databases can continue functioning even if some nodes fail but are more complex to manage and balance data distribution. Both approaches have their own strengths and weaknesses depending on the specific requirements of the system.
The difference between distributed system and multiprocessor system is whether the processing units in the system share the main memory. If yes, then the system is multiprocessor system; otherwise, it's a distributed system.
A clustered system combines multiple computers into a single system to perform computational task distributed across the cluster.
is a number of linked systems, working together closely ,so that they form a single computer
In centralised tasks are done by one system and in distributed tasks are shared by the many computers
there is no proper knowledge regarding this question.
SCADA will perform supervisory action over Distributed control system to make sure that every thing is working fine.
clustered system: systems having many computers with shared storage and linked by a lan or network.distributed system:systems having many computers connected by a network and there is no shared storage.Distributed computing is computing done on computers connected by a network. Clusters are one type of distributed computing. MPPs are another. Grid computing is a third.
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On a computer network, operating systems communicate with each other. In a distributed operating system, a single OS is communicating with itself across multiple machines.
Distributed processing involves multiple interconnected systems working together to complete a task, with each system performing a different part of the task. Parallel processing, on the other hand, involves breaking down a task into smaller sub-tasks and executing them simultaneously using multiple processors within the same system. In distributed processing, systems may be geographically dispersed, while parallel processing occurs within a single system.
A distributed computing system requires each machine attached to the network to has specific software allowing them to talk to each other. A distributed virtual systems allows the machines on a network to talk to each other without the use of central software.
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