Explain the essential properties ofi) Batch system ii) Time sharingiii) Real time iv) Distribute

i) Batch system:

• A batch system is a type of operating system where tasks are grouped together into batches and executed without any user interaction.
• The essential properties of a batch system include:
  1. Non-interactive: In a batch system, there is no direct interaction between the user and the system. Users submit their jobs or tasks to the system, and the system executes them in the background.
  2. Sequential execution: The tasks in a batch system are executed one after another in a sequential manner. The system processes each task in the order they were submitted.
  3. No time-sharing: In a batch system, the system resources are dedicated to executing the batch jobs. There is no sharing of resources among multiple users or tasks.
  4. Limited user intervention: Users have limited control over the execution of their batch jobs. They can submit, monitor, and cancel their jobs, but they cannot interact with the system during the execution of their tasks.

ii) Time sharing:

• Time sharing is a type of operating system where multiple users can simultaneously access and use the system resources.
• The essential properties of a time-sharing system include:
  1. Interactive: In a time-sharing system, users can directly interact with the system through terminals or other input/output devices. They can run programs, execute commands, and receive immediate responses.
  2. Concurrent execution: Multiple users can execute their tasks simultaneously on the same system. The system divides the CPU time among the users, allowing them to share the resources.
  3. Fairness: The time-sharing system ensures fair allocation of resources among the users. Each user gets a fair share of CPU time and other system resources based on their needs and priorities.
  4. Multitasking: The time-sharing system supports multitasking, where multiple tasks can run concurrently. The system switches between tasks rapidly, giving the illusion of simultaneous execution.

iii) Real-time:

• Real-time operating systems are designed to handle tasks with strict timing requirements.
• The essential properties of a real-time system include:
  1. Determinism: Real-time systems guarantee that tasks will be completed within specific time constraints. They provide predictable and consistent response times.
  2. Priority-based scheduling: Real-time systems use priority-based scheduling algorithms to ensure that high-priority tasks are executed before low-priority tasks. This ensures that critical tasks are given precedence.
  3. Hard and soft real-time: Real-time systems can be classified as hard or soft real-time. Hard real-time systems have strict deadlines that must be met, while soft real-time systems have more flexible deadlines that can be occasionally missed without catastrophic consequences.
  4. Real-time data processing: Real-time systems often involve processing data in real-time, such as sensor data or control signals. They need to process and respond to this data within specific time limits.

iv) Distributed:

• A distributed operating system is a system that runs on multiple interconnected computers and allows them to work together as a single system.
• The essential properties of a distributed system include:
  1. Transparency: Distributed systems provide transparency to users and applications, hiding the complexities of the underlying network and hardware. Users can access resources and services without knowing their physical location.
  2. Scalability: Distributed systems can scale horizontally by adding more machines to the network. This allows them to handle increasing workloads and accommodate more users.
  3. Fault tolerance: Distributed systems are designed to be resilient to failures. They can continue functioning even if some components or nodes fail. They use techniques like redundancy and replication to ensure high availability.
  4. Resource sharing: Distributed systems enable sharing of resources, such as files, printers, and computational power, across multiple machines. Users can access and utilize these resources from any node in the network.