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a set of programs
Distributed Operating System (DOS)
In computing, a distributed system is a system that works in different locations or work using separate processing or processors to their jobs, often simultaneously. Data can be stored in different locations in a distributed database, although a user won't know it. The data will appear on their screen when they access, so they are unaware of its location. Networks use distributed systems to link up systems that work together but are in separate locations. If there are full copies of data in various locations, then if one location gets damaged or inaccessible, the system can still function. This makes data and systems more secure.
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.
- USER LEVEL THREADS Aadvantages: · User-level threads can be implemented on operating system that does not support threads. · Implementing user-level threads does not require modification of operating system where everything is managed by the thread library · Simple representation which the thread is represented by a the thread ID, program counter, register, stack , all stored in user process address space · Simple management where creating new threads, switching threads and synchronization between threads can be done without intervention of the kernel · Fast and efficient where switching thread is much more inexpensive compared to a system call - Disadvantages: · There is a lack of coordination between threads and operating system kernel. A process gets one time slice no matter it has 1 thread or 10000 threads within it. It is up to the thread itself to give up the control to other threads · If one thread made a blocking system call, the entire process can be blocked in the kernel, even if other threads in the same process are in the ready state KERNEL LEVEL THREAD: - Advantages: · Because kernel has the full knowledge of all the threads, scheduler may decide to allocate more time to a process having large number of threads than process having small number of thread, where the kernel threads come useful for intense application - Disadvantages: · Kernel level threads are slow and inefficient, since kernel must manage and schedule all the threads as well as the processes. It requires a full TCB for each thread to maintain information about threads, which results in increasing of overheads and kernel complexity
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1 Explain architecture of Distributed Database systems? Also, explain the reasons for building distributed database systems?
Wesley W. Chu has written: 'Distributed Database Systems - Distributed Systems -' 'Distributed Processing and Database Systems'
Distributed Systems Technology Centre was created in 1992.
Information systems using a mainframe are referred to as distributed because computing results must be distributed to users at various locations.
Information systems using a mainframe are referred to as distributed because computing results must be distributed to users at various locations.
a set of programs
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.
POSIX threads are user level threads, because had a interface library and the operating systems don't control his ejecution and does not know
Distributed Software engineering is combination of distributed system engineering and distributed system architecture For more detail you need to go through the following topics 1)Distributed systems issues 2)Client-server computing 3)Architectural patterns for distributed systems 4)Software as a service
Grid Computing and Distributed Systems
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.