On-going project
Contracted Project
Neural-network based Multi-objective Evolutionary Algorithm Development for Cloud and Edge Computing
Project Overview
This project aims to develop a Neural-network based Multi-objective Evolutionary Algorithm to maximize the efficiency of data processing and distributed computing in cloud and edge computing environments. Through this research, the goal is to provide a method for edge networking systems to integrate, store, and distribute large-scale data more efficiently and cost-effectively.
Company Introduction and Business Area
Edge networking systems provides a network platform based on edge computing. More specifically, it develops a data architecture strategically organized to push compute and power to the edge devices within a network. By placing computing services closer to the physical location of the users, users benefit from faster, more reliable services while companies benefit from the flexibility of hybrid cloud computing.
Key Services and Products
Data architecture supporting hybrid cloud computing
Research Capabilities and Experience
Holds patents related to distributed software-defined networks and is continuously engaged in the development of data architectures.
Research Background
We have a few patents related to distributed software defined network and continue to develop the data architecture.
Desired Collaboration Areas
Research related to cloud networks and edge computing
Development of Neural-network based Multi-objective Evolutionary Algorithms
Research and development through industry-academia collaboration with universities
Detailed Objectives
Development of a Neural-network based Multi-objective Evolutionary Algorithm
Provision of efficient data processing and distributed computing solutions in cloud and edge computing environments
Funding Method
Corporate self-funding (contracted project)
About USD $150,000 ~ $200,000
Desired Research Period
1 year (extendable)
Research Keywords
#Edge computing / #Cloud Network / #Neural Network / #Multi-objective Optimization / #Distributed Computing