Goals of Distributed System distribution network
Goals of Distributed System distribution network
Contents [hide]
- 1 Goals of a Distributed System in a Distribution Network
- 2 Transparency
- 3 Scalability
- 4 Fault Tolerance & Reliability
- 5 Resource Sharing
- 6 Performance
- 7 Security
- 8 Openness & Interoperability
- 9 Cost Efficiency
- 10 Conclusion
- 11 Distributed Systems LECTURE NOTES B.TECH IV YEAR
- 12 Distributed Systems [R17A0522] LECTURE NOTES
- 13 Goals of Distributed System distribution network
- 14 Distributed Systems Principles and Paradigms
- 15
Goals of a Distributed System
- 16 1. Transparency
- 17 2. Scalability
- 18 3. Fault Tolerance (Reliability)
- 19 4. Resource Sharing
- 20 5. Openness
- 21 6. Concurrency
- 22 7. Security
- 23
Distribution Network in a Distributed System
- 24 Goals of Distributed System distribution network
- 25 Introduction to Distributed System Unit – I
- 26 Goals of Distributed Computing
- 27 INTRODUCTION TO DISTRIBUTED SYSTEMS
Goals of a Distributed System in a Distribution Network
A Distributed System is a collection of independent computers that appear to users as a single coherent system. In the context of a distribution network, it ensures efficient resource management, communication, and fault tolerance. The key goals of a distributed system in such a setup are:
Transparency
A distributed system should appear as a single system to users despite its underlying complexity. There are different types of transparency:
- Access Transparency → Users don’t need to know the location of resources.
- Location Transparency → Resources can be accessed without knowing their physical location.
- Replication Transparency → Multiple copies of data exist, but users see a single logical copy.
- Concurrency Transparency → Multiple users can access shared resources without conflicts.
- Failure Transparency → The system should continue operating despite failures.
Scalability
A distribution network should scale efficiently as the number of nodes, users, and data grows. It includes:
- Geographic Scalability → Supporting large distances (e.g., cloud data centers).
- Size Scalability → Handling a growing number of devices without performance degradation.
- Administrative Scalability → Supporting multiple organizations managing the network.
Fault Tolerance & Reliability
A distributed system should continue to operate even if some components fail:
- Redundancy → Backup components ensure continuous operation.
- Replication → Data is stored in multiple locations to avoid loss.
- Self-Healing → The system detects and recovers from failures automatically.
Resource Sharing
Efficient sharing of computing power, data, and network resources:
- Load Balancing → Distributing the workload evenly across multiple nodes.
- Distributed Databases → Ensuring data consistency and availability.
- Shared Computational Resources → Using cluster computing for heavy tasks.
Performance
The system should provide high speed and low latency for all users:
- Low Latency Communication → Optimized data transfer across nodes.
- Efficient Algorithms → Quick decision-making and processing.
- Caching & Replication → Storing frequently accessed data close to users.
Security
A distributed system must be secure against attacks, failures, and unauthorized access:
- Authentication & Authorization → Ensuring only authorized users access resources.
- Data Encryption → Protecting sensitive information during transmission.
- Failure & Attack Detection → Monitoring and responding to security threats.
Openness & Interoperability
The system should support different platforms, protocols, and technologies:
- Cross-Platform Support → Windows, Linux, macOS, etc.
- Open Standards → Support for common APIs and communication protocols.
- Extensibility → Easy integration with new services and technologies.
Cost Efficiency
A distributed system should minimize operational costs while maximizing performance:
- Efficient Resource Utilization → Using computing resources only when needed.
- Cloud Integration → Leveraging cloud computing for scalability and cost-effectiveness.
- Energy Efficiency → Reducing power consumption in large-scale networks.
Conclusion
The goals of a distributed system in a distribution network focus on transparency, scalability, fault tolerance, performance, security, interoperability, and cost efficiency. By achieving these objectives, a distributed system ensures seamless operations, high availability, and optimal resource usage.
Goals of Distributed System distribution network
Distributed Systems Principles and Paradigms
Goals of a Distributed System
A Distributed System consists of multiple independent computers that work together to appear as a single coherent system to the users. These systems are used in cloud computing, data centers, distributed databases, and large-scale web services.
Here are the primary goals of a distributed system:
1. Transparency
The system should hide the complexity of the distribution from users and applications.
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Access Transparency – Remote resources should be accessed like local ones.
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Location Transparency – Users should not need to know the physical location of resources.
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Replication Transparency – Users should not be aware of the replication of resources.
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Concurrency Transparency – Multiple users can access resources simultaneously without conflict.
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Failure Transparency – System should handle failures without users noticing.
2. Scalability
The system should be able to scale horizontally (more nodes) and vertically (more resources per node) without significant performance degradation.
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Size scalability – Handle increasing numbers of users/nodes.
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Geographic scalability – Operate efficiently across wide geographic areas.
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Administrative scalability – Easy to manage as the system grows.
3. Fault Tolerance (Reliability)
The system should continue functioning despite partial failures (e.g., one server fails, others take over).
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Redundancy and replication are often used.
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Ensures availability even during hardware/software failures.
4. Resource Sharing
Enable efficient and secure sharing of resources such as files, printers, databases, etc., across the system.
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Promotes better utilization of resources.
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Requires careful management of permissions and access control.
5. Openness
Distributed systems should be extensible and interoperable, based on standard protocols and interfaces (e.g., REST, RPC, HTTP, gRPC).
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Should allow integration of new hardware/software components.
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Example: Microservices architecture using APIs.
6. Concurrency
Multiple processes run simultaneously and may compete for shared resources.
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Requires synchronization and locking mechanisms.
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Concurrency control is essential for consistency.
7. Security
Protecting data and communication in a distributed environment is critical due to more attack surfaces.
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Ensures confidentiality, integrity, and authentication.
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Example: Use of encryption (SSL/TLS), secure tokens, access control.
Distribution Network in a Distributed System
The distribution network refers to the underlying infrastructure that enables communication and coordination among distributed nodes.
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Components:
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LAN/WAN
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Internet protocols (TCP/IP)
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Messaging systems (RabbitMQ, Kafka)
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APIs and Remote Procedure Calls (RPC)
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Purpose:
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Facilitates data transfer and task coordination.
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Maintains consistency across nodes (often via consensus protocols like Paxos or Raft).
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If you’d like, I can show you a diagram of how distributed system components communicate over a network. Would you like a visual example?