Advantages of Distributed Computing
1. Scalability: Distributed computing enables organizations to expand their computing capabilities effectively by dividing the workload among multiple machines or nodes. This allows them to manage bigger workloads and meet the needs of more users without relying solely on a single central system.
2. Bandwidth Optimization: Edge computing allows for sending only the necessary data or summarized information to the cloud or central servers. As a result, less data needs to be transmitted over the network, leading to savings in bandwidth and reduced associated costs.
3. Geographic Distribution: Distributed computing lets organizations place their computing resources in multiple locations or data centers to serve users worldwide. This decreases delays and speeds up response times, resulting in an improved user experience. Additionally, it enables effortless global expansion.
Difference Between Edge Computing and Distributed Computing
Edge computing and distributed computing are two computing approaches that aim to enhance performance, efficiency, and scalability. Edge computing focuses on placing computational resources, such as processing power and storage, closer to the data source or end-users. This proximity enables real-time data processing, reduces latency, and minimizes the need for data transfer to remote servers or the cloud. Edge computing is particularly beneficial for applications that require low latency, high responsiveness, and efficient bandwidth usage.