ABSTRACT
Edge computing is a recently developed concept and it is currently starting to satisfy the increasing a need for latest information analysis and reduced latency processing. The present research offers an in-depth analysis with a special focus on strengthening edge computing systems’ load-balancing and security features. When trying to improve the resource utilisation and make sure that mathematical activity is distributed equally across the edge nodes, load balancing techniques are required. Older methodologies like least-connection and round-robin algorithms have been contrasted regarding the dynamic choices like hands-on load balancing and machine learning-based approaches. Criteria like instantaneous response time, utilisation of resources and scalability are used to assess how efficient these algorithms are. At the same time, this evaluation evaluates the security protocols put in place in edge computing systems that fight against the increasing cyberthreats and also protect the sensitive data. In distributed edge environments, the importance of systems for detection of intrusions, access control methods and encryption algorithms are looked at in order to ensure data availability, confidentiality, and integrity.
