[HTML][HTML] Load balancing in cloud computing: a big picture

SK Mishra, B Sahoo, PP Parida - Journal of King Saud University-Computer …, 2020 - Elsevier
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 …

[HTML][HTML] Hybridization of meta-heuristic algorithm for load balancing in cloud computing environment

UK Jena, PK Das, MR Kabat - Journal of King Saud University-Computer …, 2022 - Elsevier
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 …

Hybrid lion–GA optimization algorithm-based task scheduling approach in cloud computing

K Malathi, K Priyadarsini - Applied Nanoscience, 2023 - Springer
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 …

PEAS: A performance evaluation framework for auto-scaling strategies in cloud applications

AV Papadopoulos, A Ali-Eldin, KE Årzén… - ACM Transactions on …, 2016 - dl.acm.org
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 …

[HTML][HTML] Advanced data analytics modeling for evidence-based data center energy management

W Khan, D De Chiara, AL Kor, M Chinnici - Physica A: Statistical Mechanics …, 2023 - Elsevier
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 …

Comparing model-based predictive approaches to self-adaptation: CobRA and PLA

GA Moreno, AV Papadopoulos… - 2017 IEEE/ACM 12th …, 2017 - ieeexplore.ieee.org
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 …

Fault tolerance in cloud manufacturing: An overview

A Al-Dulaimy, M Ashjaei, M Behnam, T Nolte… - … Conference on Mobile …, 2022 - Springer
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 …

[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 …

Balance resource utilization (BRU) approach for the dynamic load balancing in cloud environment by using AR prediction model

RK Gupta, RK Pateriya - Journal of Organizational and End User …, 2017 - igi-global.com
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) …

Best Effort Workload Disparity Minimization in Multi-Agent Systems with Capacity Constraints

G Oliva, T Charalambous, L Faramondi… - … on Automatic Control, 2022 - ieeexplore.ieee.org
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 …