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A distributed system is a computer system composed of many smaller systems. Distributed systems generally consist of 10s, 100s, or even 1000s of networked computers working in parallel to accomplish a singular task. This approach to computing allows many less expensive computers to work together as a more powerful system. These systems can be either tightly coupled or loosely coupled. A tightly coupled distributed system would generally consist of 10s of computers centrally located with a high speed network connecting them. These systems can be very powerful and relatively inexpensive. Tightly coupled systems can move lots of data between the computers and attack huge problems that require lots of communication. A loosely coupled distributed system generally consists of 100s or 1000s of computers connected over the internet. These systems cannot communicate as quickly, so they are often used for problems where there is a lot of processing to be done and not much communication.
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What is the Difference between distributed virtual systems and distributed systems?
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.
Difference between computer network and distributed operating system?
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.
What is the difference between distributed and parallel processing?
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.
Difference between parallel and distributed system?
the difference can be stated like : in parallel systems we have -more than one cpu -one memory -execution is simultaneous in distributed systems,we have -any number on memories -any number of cpu -each process has its own memory
What is the Difference between mobile computing systems and distributed systems?
distributed mobile computer is mabe up of a collection of componets which are over various computers and connected via a computer network. Thus these componets need to interact with each other. Then moblie computering is a generic term describing one's ability to use technology 'untethered', facilitated by devices which provide mobile computer functionality.
What is the difference between lumped and distributed network?
Lumped systems are those systems in which electrical properties like R, L, C etc are assumed to be located on a small space of the circuit. these systems are applicable for low frequency application. On the other hand Distributed systems assume that electrical properties R, L, C etc are distributed across the entire circuit. these systems are applicable to for high (microwave) frequency application. Unlike the lumped element model, it assumes non-uniform current along each branch and non-uniform voltage along each node.
What are the key differences between parallel and distributed computing?
Parallel computing involves breaking down a task into smaller parts that are processed simultaneously by multiple processors within the same system. Distributed computing, on the other hand, involves processing tasks across multiple interconnected systems, often geographically dispersed. The key difference lies in how the tasks are divided and executed, with parallel computing focusing on simultaneous processing within a single system and distributed computing focusing on processing across multiple systems.
What is the difference between air conditioning and refrigeration?
'One stores food and the other keeps your house cool!
What different between local and distributed transactions?
Normally there are two types of servers. one is local and other one is distributed.. The difference between of both these transactions is local would be on the same server or database on the same machine and distributed is when u do transfer of money from one bank to another the servers involved are different and placed at different locations...
What is the difference between web services and a distributed object 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.
What are the key difference bitween freely distributable unix and propretary implementtation?
Freely distributable Unix/Linux systems come with the source code, which can be modified. Proprietary Unix systems are distributed as binary only, with no source code, so you can't modify the system (easily). Other reasons are legal: the proprietary systems are copyrighted, and the freely distributable versions should not have any copywritten code in them, thus allowing them to be distributed without licensing arrangements.
What is the difference between a distributed database and distributed processing?
A distributed database is a collection of databases stored on multiple computers and accessed through a network, allowing for data to be distributed across different locations. Distributed processing, on the other hand, refers to breaking down a task into smaller parts that are processed on multiple computers simultaneously, enabling faster computation by leveraging the collective resources of multiple machines.
