Load balancing in data center networks: A survey

J Zhang, FR Yu, S Wang, T Huang… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
Data center networks usually employ the scale-out model to provide high bisection
bandwidth for applications. A large amount of data is required to be transferred frequently …

Study and analysis of various task scheduling algorithms in the cloud computing environment

T Mathew, KC Sekaran, J Jose - 2014 International conference …, 2014 - ieeexplore.ieee.org
Cloud computing is a novel perspective for large scale distributed computing and parallel
processing. It provides computing as a utility service on a pay per use basis. The …

Energy-aware scheduling of virtual machines in heterogeneous cloud computing systems

H Duan, C Chen, G Min, Y Wu - Future Generation Computer Systems, 2017 - Elsevier
With the rapid development of cloud computing, how to reduce energy consumption as well
as maintain high computation capacity has become a timely and important challenge …

EnReal: An Energy-Aware Resource Allocation Method for Scientific Workflow Executions in Cloud Environment

X Xu, W Dou, X Zhang, J Chen - IEEE transactions on cloud …, 2015 - ieeexplore.ieee.org
Scientific workflows are often deployed across multiple cloud computing platforms due to
their large-scale characteristic. This can be technically achieved by expanding a cloud …

A review on dynamic virtual machine consolidation approaches for energy-efficient cloud data centers

B Prabha, K Ramesh, PN Renjith - Data Intelligence and Cognitive …, 2021 - Springer
Cloud computing is vastly necessitated area of research where various groups of
autonomous arrangements and flexible computational architecture play a significant role in …

An integer linear programming model and adaptive genetic algorithm approach to minimize energy consumption of cloud computing data centers

H Ibrahim, RO Aburukba, K El-Fakih - Computers & Electrical Engineering, 2018 - Elsevier
Cloud computing infrastructures are designed to support the accessibility and availability of
various services to consumers over the Internet. Data centers hosting Cloud applications …

Energy-aware vm placement and task scheduling in cloud-iot computing: Classification and performance evaluation

L Ismail, H Materwala - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
Cloud Internet of Things (IoT) is a novel paradigm, where the limitations of IoT associated
devices in terms of storage, data access, scalability, networking and computing, and …

Optimal pricing strategy for data center considering demand response and renewable energy source accommodation

C Jiang, CL Tseng, Y Wang, Z Lan… - Journal of Modern …, 2021 - ieeexplore.ieee.org
With the continuous development of information technology, data centers (DCs) consume
significant and ever-growing amounts of electrical energy. Renewable energy sources …

HEROS: Energy-efficient load balancing for heterogeneous data centers

M Guzek, D Kliazovich, P Bouvry - 2015 IEEE 8th International …, 2015 - ieeexplore.ieee.org
Heterogeneous architectures have become more popular and widespread in the recent
years with the growing popularity of general-purpose processing on graphics processing …

[PDF][PDF] An optimal SLA based task scheduling aid of hybrid fuzzy TOPSIS-PSO algorithm in cloud environment

JK Samriya, N Kumar - Materials Today: Proceedings, 2020 - researchgate.net
abstract Cloud computing is an important technology for bulk data storage, resource
mobilization and online access to computer services. In the cloud computing platform there …