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Shared Disk Architecture - System Design

Last Updated : 22 Jul, 2024
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Shared Disk Architecture is a system design approach where multiple computers access the same storage disk simultaneously. Unlike Shared Nothing Architecture, which partitions data across independent nodes, Shared Disk allows all nodes to read and write to a common storage pool. This architecture is often used in high-availability systems and clustered databases to ensure data consistency and fault tolerance.

Shared-Disk-Architecture---System-Design
Shared Disk Architecture - System Design

Importance of Shared Disk Architecture in System Design

The shared disk architecture is essential in system design for the following reasons:

  • Scalability: Due to this feature, enhances the scalability of a system in the horizontal dimension since it means extra nodes can be incorporated into the system. As organizations experience an augment in the volume of work, this capability ensures that the existing structure can deal with the additional work without requiring massive changes to the system.
  • High Availability: In this aspect, the format of the architecture provides the system reliability and availability. Members of the group can access the storage even when others are unavailable due to possible failure, thus, making the service continuous with limited disruption.
  • Simplified Data Management Centralized storage simplifies data management tasks such as backups, replication, and data recovery since all data is stored in one place. It also helps maintain data consistency across different nodes.
  • Efficient Resource Utilization Centralized storage resources are utilized more efficiently compared to distributed storage solutions where storage may be underutilized. It also reduces data duplication, as all nodes access the same data pool.

Benefits of Shared Disk Architecture

  1. Ease of Management: Centralization of storage cuts on administrative tasks including data storage, back up and disaster recovery. Data is centralized, which enhances the working of administrators due to streamlined control of data.
  2. Flexibility: The extendibility and scalability are well-presented through the possibility to add more resource as storages at the nodes without changing much of it. This is useful in settings, where the stress levels come and go with the rise and fall of the flow of tasks.
  3. Improved Performance: Shared disk architecture offers high-speed interconnects and maximizes efficient data access techniques; It may improve solutions for specific applications, including huge databases and transaction processing systems.

Design Principles of Shared Disk Architecture

Below are the important Design Principles of Shared Disk Architecture

  • Redundancy: This minimizes single point of failure by incorporating multiple paths to the common storage area. This can be achieved through use of; multiple storage controllers, many network paths, and multiple power supplies.
  • Consistency: The data should be in harmony throughout all nodes which is the most important thing. This can be done using distributed locking mechanisms, some coordination protocols such as Paxos or Raft and making our operations atomic.
  • Scalability: There should be a possibility of expanding the design with more nodes and storage entities. This calls for a structural and opportunities setup that can be added on according to the needs of the organization.
  • Security: To avoid unauthorized read or write access to the shared storage and also to ensure that the data is not modified, unauthorized access and encryption mechanism must be in place.
  • Centralized Data Storage: All nodes access a common storage pool, ensuring a single source of truth for data. This centralization simplifies data management and consistency.
  • High Availability: Implement mechanisms for failover and redundancy to ensure continuous operation even if one or more nodes fail. This often involves clustering and backup strategies.
  • Concurrency Control: Use sophisticated algorithms and protocols to manage simultaneous access to shared data. This ensures that multiple nodes can read and write without conflicts, maintaining data integrity.

Implementation Steps for Shared Disk Architecture

  • Step 1: Choose Appropriate Hardware:
    • Choose the storage devices and network interconnects that would ensure high throughputs, backup and recovery mechanisms, and expandability where necessary. This encompasses SANs which is Storage Area Networks or NAS which is the Network Attached Storage systems.
  • Step 2: Configure Storage Network:
    • Establish the nodes by making sure all of them are able to attach the shared storage. This could include setting up Fibre Channel networks or high-speed Ethernet to potentially include the likes of Ethernet Communications.
  • Step 3: Install Operating Systems:
    • Make sure that each node has an operating system that can support the type of shared disk system that you will be implementing. Some of the Linux distributions such as Red Hat Linux, Debian, SLES Linux, etc support clustered file system where as commercial operating systems have almost all of them built- in capability cluster resource.
  • Step 4: Implement Coordination Mechanisms:
    • Implement the use of software to manage the access to the shared storage so as to avoid differentials and differences. This might include installing and setting up cluster management SW and distributed files systems SW.
  • Step 5: Test and Optimize:
    • Perform tests specifically for the system to meet Organization’s performance, scalability, and fault tolerance standards. In order to run smoothly, it could prove useful to check and adjust the flow of the system time to time to eliminate possible problems that may hinder efficient working.

Challenges with Shared Disk Architecture

Below are some of the important challenges with Shared Disk Architecture:

  • Complexity: It is very difficult to ensure that consistency and coordination are managed well between multiple nodes. It has to be done with the help of specific software and one must be familiar with the principles of distributed systems.
  • Performance Bottlenecks: Some considerations should be made at designing of the shared storage system as it may turn into a performance limit. It seems that efficient high-speed interconnects and efficient data accesses algorithms are paramount.
  • Cost: The cost of the high-speed storage networks and the implementation and the redundancy is relatively costly. It is also important for the organizations to realize that achieving high availability and scalability will definitely come at a price.
  • Performance Bottlenecks: High I/O contention can occur when multiple nodes simultaneously access the shared disk, leading to performance degradation. This is particularly problematic in high-transaction environments.
  • Data Consistency Challenges: Ensuring data consistency across all nodes is challenging, especially during concurrent read/write operations. This requires robust consistency protocols and mechanisms.
  • Latency Concerns: Network latency can impact performance, especially in geographically distributed setups. Ensuring low latency communication between nodes and the shared disk is critical for optimal performance.

Shared Disk vs. Shared Nothing Architecture

Below are the differences between Shared Disk and Shared Nothing Architecture.

Feature

Shared Disk Architecture

Shared Nothing Architecture

Data Storage

Centralized storage accessed by all nodes

Distributed storage, each node has its own independent storage

Scalability

Limited by the shared disk's capacity and I/O bandwidth

Highly scalable, each node can be independently added or removed

Data Consistency

Easier to maintain consistency with a single storage pool

Requires complex coordination to maintain consistency across nodes

Fault Tolerance

Risk of single point of failure at the shared disk

High fault tolerance, failure of one node doesn't affect others

Performance

Potential I/O bottlenecks and contention for the shared disk

Better performance due to distributed workload

Complexity

Simpler data management but complex concurrency control

Complex data partitioning and distributed transactions

Concurrency Control

Requires sophisticated locking mechanisms to manage concurrent access

Concurrency control is simpler, as nodes operate independently

Real-World Examples of Shared Disk Architecture

  • Oracle Real Application Clusters (RAC): Oracle RAC leveraged shared disk architecture to allow for higher availability as well as scalability of oracle databases. Many copies of the database execute on different nodes, which communicate with a common storage.
  • VMware vSphere: vSphere makes use of shared storage elements in VMware and such features as the vMotion technology and high availability. This makes it possible to transfer virtual machines from one physical host to another one non-disruptively.
  • IBM GPFS (General Parallel File System): IBM GPFS is a high performance shared disk file system used primarily in supercomputer and large scale storage usage. It gives quick and efficient data access from one node to another.

Important Use Cases for Shared Disk Architecture

  • Database Clustering:
    • Shared Disk Architecture is widely used in database clustering scenarios where multiple database instances can access a centralized storage pool. This allows for high availability, failover capabilities, and efficient data management across nodes.
  • Enterprise Applications:
    • Many enterprise applications, such as ERP (Enterprise Resource Planning) systems and CRM (Customer Relationship Management) systems, benefit from Shared Disk Architecture. It enables centralized data storage and management, ensuring consistent data access and reliability.
  • Virtualization and Cloud Computing:
    • In virtualized environments and cloud computing platforms, Shared Disk Architecture supports shared storage for virtual machines (VMs) and containers. It facilitates live migration, high availability, and load balancing of VMs across physical nodes.
  • High-Performance Computing (HPC):
    • HPC environments, including scientific simulations and data analytics, utilize Shared Disk Architecture to provide multiple compute nodes with simultaneous access to large datasets. This setup accelerates data processing and enhances collaboration among researchers.
  • Content Delivery Networks (CDNs):
    • CDNs rely on Shared Disk Architecture to store and distribute content across geographically distributed nodes. It ensures efficient content replication, caching, and delivery while maintaining data consistency and reducing latency for end users.

Conclusion

Full granularity of Storage Attached Network shares together with its unique pre-built solutions gives the possibility to achieve high values of scalability, high availability and easiness in management. However, it also has the problems of complexity, the possibility to become a performance problem, and cost. However, if organizations take their time to put in place and design a shared disk system properly, then it will be a valuable tool that can be used for the important applications that require high performance and high reliability.


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