scholarly journals Load Balancing Algorithm for Real-Time Ray Tracing of Dynamic Scenes

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 165003-165009
Author(s):  
Jinyoung Lee ◽  
Woo-Nam Chung ◽  
Tae-Hyoung Lee ◽  
Jae-Ho Nah ◽  
Youngsik Kim ◽  
...  
Keyword(s):  
Load Balancing ◽  
Real Time ◽  
Ray Tracing ◽  
Dynamic Scenes ◽  
Load Balancing Algorithm

scholarly journals Resilience enhancement of container-based cloud load balancing service

2018 ◽  
Author(s):  
Dongsheng Zhang
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Real Time ◽  
Significant Role ◽  
Current Load ◽  
Web Traffic ◽  
Computing Environments ◽  
Load Balancing Algorithm ◽  
Load Balancer ◽  
Computing Infrastructure

Web traffic is highly jittery and unpredictable. Load balancer plays a significant role in mitigating the uncertainty in web environments. With the growing adoption of cloud computing infrastructure, software load balancer becomes more common in recent years. Current load balancer services distribute the network requests based on the number of network connections to the backend servers. However, the load balancing algorithm fails to work when other resources such as CPU or memory in a backend server saturates. We experimented and discussed the resilience evaluation and enhancement of container-based software load balancer services in cloud computing environments. We proposed a pluggable framework that can dynamically adjust the weight assigned to each backend server based on real-time monitoring metrics.

scholarly journals Resilience enhancement of container-based cloud load balancing service

2018 ◽  
Author(s):  
Dongsheng Zhang
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Real Time ◽  
Significant Role ◽  
Current Load ◽  
Web Traffic ◽  
Computing Environments ◽  
Load Balancing Algorithm ◽  
Load Balancer ◽  
Computing Infrastructure

Web traffic is highly jittery and unpredictable. Load balancer plays a significant role in mitigating the uncertainty in web environments. With the growing adoption of cloud computing infrastructure, software load balancer becomes more common in recent years. Current load balancer services distribute the network requests based on the number of network connections to the backend servers. However, the load balancing algorithm fails to work when other resources such as CPU or memory in a backend server saturates. We experimented and discussed the resilience evaluation and enhancement of container-based software load balancer services in cloud computing environments. We proposed a pluggable framework that can dynamically adjust the weight assigned to each backend server based on real-time monitoring metrics.

Ray Tracing of Dynamic Scenes by Managing Empty Regions in Adaptive Boxes

2009 ◽  
Vol 32 (6) ◽  
pp. 1172-1182 ◽  
Author(s):  
Jing LI ◽  
Wen-Cheng WANG ◽  
En-Hua WU
Keyword(s):  
Ray Tracing ◽  
Dynamic Scenes
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