Dynamic Traffic Engineering for Cooperative Fog-Cloud Environment: Trade-Off Analysis of Cost and Utilization Under Different Load Conditions DOI
Md. Rahinur Rahman, Mirza Mohd Shahriar Maswood

Published: Jan. 1, 2023

Fog computing has become an attractive method for different IoT (Internet of Things) applications that require low latency and location awareness. It provides by bringing computational power to the edge or nearer traffic generators’ a network works as perfect complement cloud computing. Though there are many advantages fog computing, due limitations resources (CPU processing capacity, bandwidth, memory, backup) nodes, framework combating these is highly desired. In this work, we formulate optimization model cooperative environment dealing with dynamic traffic. We analyzed how arrival rates impact bandwidth costs, link utilization, server resource utilization. By adopting techniques rates, utilization layer higher than resources, shown in paper. also figured out blocking within acceptable range (0-15%). Finally, identified driving factors associated blocking, case, shortages (network resources), which responsible generating our network.

Language: Английский

Dynamic Traffic Engineering for Cooperative Fog-Cloud Environment: Trade-Off Analysis of Cost and Utilization Under Different Load Conditions DOI
Md. Rahinur Rahman, Mirza Mohd Shahriar Maswood

Published: Jan. 1, 2023

Fog computing has become an attractive method for different IoT (Internet of Things) applications that require low latency and location awareness. It provides by bringing computational power to the edge or nearer traffic generators’ a network works as perfect complement cloud computing. Though there are many advantages fog computing, due limitations resources (CPU processing capacity, bandwidth, memory, backup) nodes, framework combating these is highly desired. In this work, we formulate optimization model cooperative environment dealing with dynamic traffic. We analyzed how arrival rates impact bandwidth costs, link utilization, server resource utilization. By adopting techniques rates, utilization layer higher than resources, shown in paper. also figured out blocking within acceptable range (0-15%). Finally, identified driving factors associated blocking, case, shortages (network resources), which responsible generating our network.

Language: Английский

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