What is the distributed operating system ?
A distributed operating system is a software over a collection of independent, networked, communicating, and physically separate computational nodes. They handle jobs which are serviced by multiple CPUs. Each individual node holds a specific software subset of the global aggregate operating system. Each subset is a composite of two distinct service provisioners. The first is a ubiquitous minimal kernel, or microkernel, that directly controls that node’s hardware. Second is a higher-level collection of system management components that coordinate the node's individual and collaborative activities. These components abstract microkernel functions and support user applications.
This question is part of UPSC exam. View all Class 9 courses
What is the distributed operating system ?
Distributed Operating System
A distributed operating system is a software system that allows multiple computers to work together and appear as a single, unified system. It enables the sharing of resources, data, and tasks across a network of computers, providing improved performance, reliability, and scalability. In a distributed operating system, each computer, also known as a node, has its own operating system but works seamlessly with other nodes to perform tasks.
Key Features of a Distributed Operating System
Distributed operating systems possess several key features that differentiate them from traditional centralized operating systems:
1. Resource Sharing: A distributed operating system allows sharing of hardware resources, such as printers, disk drives, and memory, among multiple nodes. This enhances resource utilization and efficiency.
2. Transparency: Transparency in a distributed operating system ensures that users and applications are unaware of the distributed nature of the system. It provides transparency in location, access, migration, and replication of resources.
3. Concurrency: Distributed operating systems manage concurrent access to shared resources, enabling multiple processes to execute simultaneously without interference.
4. Scalability: Distributed operating systems can scale up or down easily by adding or removing nodes from the network. This allows for increased processing power and improved performance.
5. Fault Tolerance: Distributed operating systems are designed to handle failures and ensure system availability. They employ techniques such as redundancy, replication, and fault detection to recover from failures.
6. Inter-Process Communication: Processes running on different nodes communicate with each other through message passing mechanisms provided by the distributed operating system. This enables collaboration and coordination among processes.
7. Distributed File Systems: Distributed operating systems offer distributed file systems that provide a unified view of files stored across multiple nodes. This allows for seamless file access and data sharing.
Advantages of Distributed Operating Systems
- Improved performance and scalability due to resource sharing and load balancing.
- Enhanced fault tolerance and system availability through redundancy and fault detection mechanisms.
- Efficient utilization of resources by distributing tasks across multiple nodes.
- Increased data reliability and availability through replication and distributed file systems.
- Flexibility to add or remove nodes as needed, enabling easy system expansion.
Examples of Distributed Operating Systems
- Linux Distributed Computing Environment (DCE)
- Microsoft Windows Distributed File System (DFS)
- Google File System (GFS)
- Apache Hadoop
- Amoeba
In conclusion, a distributed operating system allows multiple computers to collaborate and function as a single system. It provides resource sharing, transparency, concurrency, scalability, fault tolerance, inter-process communication, and distributed file systems. This architecture offers various advantages such as improved performance, fault tolerance, resource utilization, and data reliability. Examples of distributed operating systems include Linux DCE, Windows DFS, GFS, Hadoop, and Amoeba.
To make sure you are not studying endlessly, EduRev has designed Class 9 study material, with Structured Courses, Videos, & Test Series. Plus get personalized analysis, doubt solving and improvement plans to achieve a great score in Class 9.