If the world of technology had a frontier, it would be known as Edge Computing Infrastructure. It is an expansion of cloud networks, bringing computation and data storage capabilities closer to the sources of data - sensors, end-user devices, or Internet of Things (IoT) devices.

• Capillary Presence: Unlike data centers that are located in specific geographic zones, edge computing equipment can be located anywhere, even in remote locations, to ensure data is processed near the source.

• Low Latency: By bringing processing capabilities closer to the sources, edge computing significantly reduces latency as data does not need to travel long distances before processing.

• Dynamic Scalability: Depending on the demand, the edge computing infrastructure can be expanded or shrunk in real-time, offering a high degree of flexibility.

• Improved Security: Processing data closer to its source also reduces the risk of data breaches during transmission. Furthermore, the distributed nature of edge computing infrastructure ensures that the breach at one location does not affect the entire system.

• Cost Effectiveness: Edge computing reduces the costs related to data transfer and storage as not all data is required to be sent back to a central location for processing.

• Highly Customizable: Edge computing infrastructure can be tailored to particular tasks and can be made application-specific.

For successful implementation, organizations need to have a clear understanding of their specific needs and objectives. They must consider the trade-offs between latency, bandwidth, and privacy specific to their operations. A well-planned deployment begins with assessing whether the software is compatible with the organization's existing systems and the organization's ability to manage and maintain multiple edge sites.

• High Efficiency: Speedy processing and low latency provided by edge computing enhance user experience while potentially reducing the strain on network resources.

• Better Security: Minimizing data transfer across networks adds a layer of security. Data privacy laws and regulations in some regions also require that user data not leave a certain geographic area, which is largely facilitated by edge computing.

• Scalability: Edge facilities can be created independently as required, providing scalability to accommodate growing businesses.

• Supply chain simplification: The shift to edge computing reduces reliance on large-scale data centers, often simplifying the supply chain and reducing costs in the process.

• Enhanced Performance: The closer proximity of data processing capabilities often leads to improved service performance, rating high on customer satisfaction.

• Stand-Alone Operations: Even if the central server faces some issues, the edge infrastructure can function independently ensuring uninterrupted services.

• Complex Infrastructure: Managing multiple edge sites can prove much more complex when compared to managing fewer, more massive centers.

• Cost considerations: While edge computing can be cost-effective over time, significant upfront investment is required to set up the infrastructure.

• Security and Maintenance: While edge computing offers many security advantages, it also introduces new points of vulnerability. Maintaining security across multiple edge sites can be challenging.

• Scalability constraints: There can be physical limitations to how much an edge site can scale to meet increased demand.

Despite its challenges, edge computing infrastructure offers a myriad of opportunities for businesses and technologists, and its implementation can bring about transformational change.

In conclusion, the benefits of edge computing infrastructure make it well-suited for the future of networked systems. With careful planning, businesses can leverage this technology to improve efficiency and quality of service, while also reducing costs and simplifying their supply chain. Furthermore, edge computing opens up new possibilities for localized data processing, making it an attractive option for businesses of all types and sizes.