[HTML][HTML] Load balancing in cloud computing: a big picture
Scheduling or the allocation of user requests (tasks) in the cloud environment is an NP-hard
optimization problem. According to the cloud infrastructure and the user requests, the cloud …
optimization problem. According to the cloud infrastructure and the user requests, the cloud …
[HTML][HTML] Hybridization of meta-heuristic algorithm for load balancing in cloud computing environment
Load balancing of tasks on the cloud environment is an important aspect of distributing
resources from a data centre. Due to the dynamic computing through the internet; cloud …
resources from a data centre. Due to the dynamic computing through the internet; cloud …
Hybrid lion–GA optimization algorithm-based task scheduling approach in cloud computing
This research work inquiries to design the load balancer algorithm for cloud computing by
exploring the merits of heuristic techniques. Here, two major contributions are developed for …
exploring the merits of heuristic techniques. Here, two major contributions are developed for …
PEAS: A performance evaluation framework for auto-scaling strategies in cloud applications
Numerous auto-scaling strategies have been proposed in the past few years for improving
various Quality of Service (QoS) indicators of cloud applications, for example, response time …
various Quality of Service (QoS) indicators of cloud applications, for example, response time …
[HTML][HTML] Advanced data analytics modeling for evidence-based data center energy management
Over the past few decades, the demand for Data Center (DC) services has significantly
increased due to the world's growing need for internet access, social networking, and data …
increased due to the world's growing need for internet access, social networking, and data …
Comparing model-based predictive approaches to self-adaptation: CobRA and PLA
Modern software-intensive systems must often guarantee certain quality requirements under
changing run-time conditions and high levels of uncertainty. Self-adaptation has proven to …
changing run-time conditions and high levels of uncertainty. Self-adaptation has proven to …
Fault tolerance in cloud manufacturing: An overview
Utilizing edge and cloud computing to empower the profitability of manufacturing is
drastically increasing in modern industries. As a result of that, several challenges have …
drastically increasing in modern industries. As a result of that, several challenges have …
[PDF][PDF] A load balancing strategy for reducing data loss risk on cloud using remodified throttled algorithm
FT Johora, I Ahmed, MAI Shajal… - International Journal of …, 2022 - academia.edu
Cloud computing always deals with new problems to fulfill the demand of the challenging
organizations around the whole world. Reducing response time without the risk of data loss …
organizations around the whole world. Reducing response time without the risk of data loss …
Balance resource utilization (BRU) approach for the dynamic load balancing in cloud environment by using AR prediction model
One of the major challenges for the cloud provider is the efficient utilization of the physical
resources. To achieve this, this paper proposed a Balance Resource Utilization (BRU) …
resources. To achieve this, this paper proposed a Balance Resource Utilization (BRU) …
Best Effort Workload Disparity Minimization in Multi-Agent Systems with Capacity Constraints
In this article, we propose a load balancing problem formulation where agents cooperate
with the aim of simultaneously minimizing both the workload disparity among the agents and …
with the aim of simultaneously minimizing both the workload disparity among the agents and …