Analyzing the Effect of Edge Computing on Real-time Data Processing and Latency Reduction

• Main Authors: Deepthi, K., Sahu, Dillip Narayan, Rana, Kuldeep Singh, V, Asha, Sumalatha, Ippa, Nijhawan, Ginni
• Format: Conference Proceeding
• Language: English
• Subjects: and Real-time data processing; Batteries; Data processing; Edge computing; Information technology; Latency reduction; Low latency communication; Real-time systems; Servers
• ISSN: 2687-7767
• DOI: 10.1109/UPCON59197.2023.10434297

Edge computing platforms offer multiple advantages to information technology, like lower latency, increased connectivity, longer battery duration, and so on. Despite their many advantages, edge computing platforms have some flaws that could severely impair the functioning of specific programs. Indeed, present edge computing platforms do not guarantee latency reduction for real-time data processing and suffer from data overload concerns. To address the above difficulties, this research offers Household Edge Computation (HEC), a novel 3-level edge computation design that delivers real-time data storing and processing near consumers. This 3-level design includes a Residential, a Central, Edge Server, all of which are common in typical edge computation designs. The Residence Server is positioned close to the consumers, allowing for latency reduction for real-time data processing that can be handled by the servers; this also helps minimize the quantity of data that may be handled in the Edge Server and the centralized Cloud. This research uses the Edge-Cloud-Sim simulated system to show the viability of the proposed design. The research findings suggest that this solution may assist in attaining extremely low latency and eliminate overloading difficulties.