Green Intelligent Systems and Applications
Volume 3 - Issue 1 - 2023

Light Weight Native Edge Load Balancers for Edge Load Balancing

Ravi Kumar, P. (Unknown)
Rajagopalan, S. (Unknown)
Charles P., Joseph (Unknown)

Article Info

Publish Date
13 Jun 2023

Abstract

Edge computing has become an essential aspect of modern computing systems. Edge computing involves processing data at the edge of the network, closer to where the data is generated. The ability to process data in real-time at the edge provides various benefits such as lower latency, improved response times, and reduced network congestion. Load balancing is a critical component of edge computing, which distributes the workload across multiple edge devices, ensuring that the workload is evenly distributed. This paper discusses current trends in edge computing load balancing techniques, including static, dynamic, and hybrid load balancing approaches.

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Journal Info
Green Intelligent Systems and Applications
Website

Abbrev

gisa

Publisher

Tecno Scientifica

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Description

The journal is intended to provide a platform for research communities from different disciplines to disseminate, exchange and communicate all aspects of green technologies and intelligent systems. The topics of this journal include, but are not limited to: Green communication systems: 5G and 6G ...