Distributed computing systems have become a mainstay in many industries, a vital tool that enables businesses to mobilize a host of computing resources towards seamless operations. It refers to a model in which components of a software system interact by executing work concurrently on different hardware devices. These constituent components are networked across several machines, working in perfect harmony.

• Concurrent Processing: Distributed computing systems foster simultaneous computation across multiple systems.
• Scalability: These systems are highly scalable owing to the ability to assimilate more machines into the network.
• Robustness: The distributed system architecture is inherently robust as fault rectification is made easier due to the synchronization of multiple nodes.
• Intercommunication: Nodes within distributed systems communicate with each other, resulting in a synergistic computational effort.
• Decentralization: There is no central database or data storage system, and information exists as multiple copies on various machines.

Distributed computing systems are used widely in diverse areas due to their far-reaching benefits.

The implementation of a distributed computing system requires a comprehensive understanding of the organization's demands and a careful selection of software that caters to these needs. Detailed planning, evaluation, and necessary adaptations to meet an organization's specific requirements are vital for implementing a successful distributed computing system. A cost-benefit analysis would also be an essential part of this process, along with an assessment of potential vendors to ensure the alignment of product offerings and support services with company prerequisites.

Undeniably, distributed computing systems bring about significant change in the way organizations handle their computational needs. While the benefits vastly outweigh the drawbacks, a thorough assessment is a prerequisite to truly leverage the power of distributed computing and inch closer to various organizational goals.

• Efficient Resource Use: By combining the resources of multiple machines, distributed computing systems enable the superior use and optimization of computational facilities.
• Enhanced Performance: By making simultaneous computations possible, distributed systems can significantly boost performance and reduce computing time.
• Robust and Reliable: In the event of system or hardware failures, other nodes within the framework can shoulder the computational load, rendering distributed systems extremely resilient.
• Scalability: As organizations grow and demand for processing power increases, incorporating more hardware assets into the system is relatively easier.
• Improved Data Access and Sharing: Facilitating easier data sharing and access is one of the crucial advantages of distributed computing systems.

However, despite the immense benefits, there are certain challenges to implementing distributed computing systems.

• System Complexity: Implementation and management of distributed computing systems can be complex due to the intricate intercommunication and synchronization of operations between the nodes.
• Security Concerns: Protecting data across a distribution of nodes is challenging due to the enhanced risk of exposure to cyber threats.
• Overhead Costs: Cost implications may arise from intercommunication and data replication across multiple systems.
• Management Challenges: Administering a distributed computing environment, including load balancing, scheduling tasks, and maintaining data consistency, can be challenging.
• Debugging Difficulty: Fishing out and fixing bugs in a distributed system can be more difficult than in a single network as the error can stem from any of the integrated systems.