What will be impact of global clock and shared memory in distributed system?

Absence of global clock make more difficult the algorithm for designing and debugging of distributed system. Absence of Shared Memory: … As computer in the distributed system do not share the common memory, it is impossible for any one system to know the global state of the full distributed system.

Why is global clock important in distributed system?

A logical clock is a mechanism for capturing chronological and causal relationships in a distributed system. Distributed systems may have no physically synchronous global clock, so a logical clock allows global ordering on events from different processes in such systems.

What is global clock in distributed operating system?

In a distributed system there is no global clock as a result different activity are possible to synchronize. … Clock synchronization in distributed system aims at-all nodes have the same internal clock or the system is in synchronization with another external clock. Those are the drawbacks of distributed system.

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What is the purpose of distributed shared memory?

A distributed shared memory is a mechanism allowing end-users’ processes to access shared data without using inter-process communications. In other words, the goal of a DSM system is to make inter-process communications transparent to end-users.

What are advantages of distributed shared memory?


  • Scales well with a large number of nodes.
  • Message passing is hidden.
  • Can handle complex and large databases without replication or sending the data to processes.
  • Generally cheaper than using a multiprocessor system.
  • Provides large virtual memory space.

Why do we need the Berkeley algorithm?

Berkeley’s Algorithm is a clock synchronization technique used in distributed systems. The algorithm assumes that each machine node in the network either doesn’t have an accurate time source or doesn’t possess an UTC server. 1) An individual node is chosen as the master node from a pool nodes in the network.

How is clock synchronization handled in a multinational distributed system?

Synchronization in distributed systems is achieved via clocks. The physical clocks are used to adjust the time of nodes. Each node in the system can share its local time with other nodes in the system. The time is set based on UTC (Universal Time Coordination).

What are significant advantages and limitations of distributed system?

Reliability, high fault tolerance: A system crash on one server does not affect other servers. Scalability: In distributed computing systems you can add more machines as needed. Flexibility: It makes it easy to install, implement and debug new services.

What is local clock and global clock?

Local vs global time

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Logical local time is used by the process to mark its own events, and logical global time is the local information about global time. A special protocol is used to update logical local time after each local event, and logical global time when processes exchange data.

What do we mean by absence of global clock give the impact of the absence of global time what is logical clock explain?

Absence of a Global Clock:

In starting the clocks are regulated to keep them consistent, but only after one local clock cycle they are out of the synchronization and no clock has the exact time. … Absence of global clock make more difficult the algorithm for designing and debugging of distributed system.

What are the advantages and disadvantages of distributed shared memory?

Simpler abstraction: Programmer need not concern about data movement, As the address space is the same it is easier to implement than RPC. Easier portability: The access protocols used in DSM allow for a natural transition from sequential to distributed systems.

What are the significant factors affecting the interacting processes in a distributed systems?

There are two significant factors affecting process interaction in distributed systems: 1) Communication performance is often a limiting characteristic; 2) there is no single global notion of time since clocks on different computers tend to drift.

Why is replication important in distributed systems?

2 Reasons for Replication Data replication is a common technique in distributed systems. There are two reasons for data replication: –It creases the reliability of a system. If one replica is unavailable or crashes, use another Protect against corrupted data –It improves the performance of a system.

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What are the design issues that should be considered for distributed shared memory system?

Design n Implementation Issues DS

  • Granularity: When a nonlocal memory word is referenced, a chuck of memory containing the word is fetched from its current location and put on the machine making the reference. …
  • Structure of shared memory space : …
  • Data location and access: …
  • Replacement strategy: …
  • Thrashing:

Why shared memory is faster?

Shared memory is faster because the data is not copied from one address space to another, memory allocation is done only once, andsyncronisation is up to the processes sharing the memory.

What are the disadvantages of using shared memory architecture in cooperating processes environment to share their data?

The issue with shared memory systems is that many CPUs need fast access to memory and will likely cache memory, which has two complications: access time degradation: when several processors try to access the same memory location it causes contention. … Shared memory computers cannot scale very well.