4.6 Article

Combined use of coral reefs optimization and multi-agent deep Q-network for energy-aware resource provisioning in cloud data centers using DVFS technique

Related references

Note: Only part of the references are listed.
Article Computer Science, Information Systems

Applying Reinforcement Learning towards automating energy efficient virtual machine consolidation in cloud data centers

Rachael Shaw et al.

Summary: This paper explores the application of reinforcement learning algorithms for the VM consolidation problem in order to optimize the distribution of virtual machines and improve resource management in data centers. The empirical results demonstrate a 25% improvement in energy efficiency and a 63% reduction in service violations compared to a popular heuristic algorithm.

INFORMATION SYSTEMS (2022)

Article Computer Science, Information Systems

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

U. K. Jena et al.

Summary: This paper proposes a novel methodology of dynamic load balancing among virtual machines using hybridization of modified Particle Swarm Optimization and improved Q-learning algorithm. The algorithm aims to balance the load among VMs, maximize the throughput, and optimize the waiting time of tasks. The robustness of the algorithm is validated by comparing it with existing algorithms, showing its superiority.

JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES (2022)

Article Computer Science, Information Systems

An intelligent memory caching architecture for data-intensive multimedia applications

Aaqif Afzaal Abbasi et al.

Summary: With the rapid advancements in cloud computing and mobile networks, accessing multimedia content has become more convenient. To address bottleneck challenges faced by multimedia applications, an intelligent distributed memory caching system has been proposed. By utilizing a specific network file system, shared data can be accessed, improving performance compared to traditional approaches.

MULTIMEDIA TOOLS AND APPLICATIONS (2021)

Article Computer Science, Information Systems

A novel energy-efficient scheduling model for multi-core systems

Neetesh Kumar et al.

Summary: Multi-core systems have evolved significantly over the past decade, but housing a large number of cores on a single chip results in heat dissipation, requiring green hardware and energy-efficient software techniques for mitigation. A scheduler allocates tasks to CPU cores based on energy considerations and effective core utilization.

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2021)

Article Computer Science, Information Systems

Energy and resource efficient workflow scheduling in a virtualized cloud environment

Neha Garg et al.

Summary: High energy consumption is a significant issue in the cloud environment, and the optimization of energy consumption is closely related to scheduling problems. The proposed energy and resource efficient workflow scheduling algorithm (ERES) aims to minimize energy consumption, maximize resource utilization, and minimize workflow makespan while meeting task deadlines and dependency constraints. Additionally, an energy model is presented to calculate server energy consumption, and a double threshold policy and live VM migration strategy are used to balance server workload.

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2021)

Article Computer Science, Hardware & Architecture

Task scheduling, resource provisioning, and load balancing on scientific workflows using parallel SARSA reinforcement learning agents and genetic algorithm

Ali Asghari et al.

Summary: Cloud computing is a popular distributed environment with resource management being a major challenge for scientific workflows. This study utilizes state-action-reward-state-action learning and genetic algorithm to manage cloud resources, achieving the goals of reducing makespan, enhancing resource utilization, and improving load balancing.

JOURNAL OF SUPERCOMPUTING (2021)

Article Computer Science, Theory & Methods

Combined use of coral reefs optimization and reinforcement learning for improving resource utilization and load balancing in cloud environments

Ali Asghari et al.

Summary: Resource management in cloud computing faces challenges due to heterogeneity of resources, and various methods have been introduced to improve resource efficiency and utilization, including heuristic and machine-learning methods. This paper introduces the MO-CRAML model, which combines coral reefs optimization algorithm with reinforcement learning to enhance cloud resource utilization and load balancing.

COMPUTING (2021)

Article Computer Science, Information Systems

An efficient load balancing technique for task scheduling in heterogeneous cloud environment

Hadeer Mahmoud et al.

Summary: This paper introduces how heuristic algorithms can be used to solve task scheduling problems in cloud computing and proposes a modification to the HEFT algorithm to improve load balancing. Through comparative experiments, it is found that the LB-HEFT algorithm outperforms existing E-HEFT and HEFT algorithms in terms of load balancing, resource utilization, and makespan.

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2021)

Article Computer Science, Information Systems

MrLBA: multi-resource load balancing algorithm for cloud computing using ant colony optimization

Arfa Muteeh et al.

Summary: Cloud computing is a new computing paradigm that delivers services over the internet and eliminates requirements for local data storage. Workflow scheduling is a critical issue in cloud computing that targets to complete workflow execution by considering different parameters. The MrLBA algorithm, based on ACO, aims to balance system load and has been validated experimentally to effectively reduce both execution time and cost.

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2021)

Article Automation & Control Systems

Energy-Aware and Proactive Host Load Detection in Virtual Machine Consolidation

Seyed Yahya Zahedi Fard et al.

Summary: With the expansion and enhancement of cloud data centers, the focus has shifted to increasing energy consumption and reducing costs for users, with VM consolidation emerging as a key approach to improve energy efficiency and service quality in cloud computing.

INFORMATION TECHNOLOGY AND CONTROL (2021)

Article Computer Science, Theory & Methods

A task scheduling algorithm considering game theory designed for energy management in cloud computing

Jiachen Yang et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2020)

Article Computer Science, Information Systems

Energy-efficient scheme based on user task characteristic in virtual cloud platform

Shi Dong et al.

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2020)

Review Computer Science, Interdisciplinary Applications

A Survey on the Combined Use of Optimization Methods and Game Theory

Mohammad Karim Sohrabi et al.

ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2020)

Article Computer Science, Information Systems

The CiS2: a new metric for performance and energy trade-off in consolidated servers

Carlos Juiz et al.

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2020)

Article Computer Science, Information Systems

A multi-objective trade-off framework for cloud resource scheduling based on the Deep Q-network algorithm

Zhiping Peng et al.

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2020)

Article Computer Science, Information Systems

Minimizing virtual machine migration probability in cloud computing environments

Marjan Jalali Moghaddam et al.

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2020)

Article Engineering, Electrical & Electronic

Performance-based service-level agreement in cloud computing to optimise penalties and revenue

Afzal Badshah et al.

IET COMMUNICATIONS (2020)

Article Automation & Control Systems

Distributed Q-Learning Aided Heterogeneous Network Association for Energy-Efficient IIoT

Jingjing Wang et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)

Article Telecommunications

Deep reinforcement learning based joint edge resource management in maritime network

Fangmin Xu et al.

China Communications (2020)

Article Computer Science, Theory & Methods

Q-learning based dynamic task scheduling for energy-efficient cloud computing

Ding Ding et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2020)

Article Engineering, Electrical & Electronic

Deep reinforcement learning based mobile edge computing for intelligent Internet of Things

Rui Zhao et al.

PHYSICAL COMMUNICATION (2020)

Article Computer Science, Information Systems

被撤回的出版物: Energy efficient scheduling for cloud data centers using heuristic based migration (Retracted article. See DEC, 2022)

G. Ganesh Kumar et al.

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2019)

Article Computer Science, Information Systems

Reliability and energy efficient workflow scheduling in cloud environment

Ritu Garg et al.

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2019)

Article Computer Science, Hardware & Architecture

Toward energy-efficient cloud computing: a survey of dynamic power management and heuristics-based optimization techniques

Nagma Khattar et al.

JOURNAL OF SUPERCOMPUTING (2019)

Article Computer Science, Artificial Intelligence

A novel coral reefs optimization algorithm for materialized view selection in data warehouse environments

Hossein Azgomi et al.

APPLIED INTELLIGENCE (2019)

Article Computer Science, Theory & Methods

Failure-aware energy-efficient VM consolidation in cloud computing systems

Yogesh Sharma et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)

Article Computer Science, Interdisciplinary Applications

Energy-aware dynamic resource management in elastic cloud datacenters

Ayaz Ali Khan et al.

SIMULATION MODELLING PRACTICE AND THEORY (2019)

Article Computer Science, Information Systems

A Double Deep Q-Learning Model for Energy-Efficient Edge Scheduling

Qingchen Zhang et al.

IEEE TRANSACTIONS ON SERVICES COMPUTING (2019)

Article

Energy efficient VM scheduling for big data processing in cloud computing environments

SangWook Han et al.

Journal of Ambient Intelligence and Humanized Computing (2019)

Article Computer Science, Software Engineering

Energy-aware virtual machine allocation for cloud with resource reservation

Xinqian Zhang et al.

JOURNAL OF SYSTEMS AND SOFTWARE (2019)

Proceedings Paper Computer Science, Information Systems

A Study of Efficient Energy Management Techniques for Cloud Computing Environment

Syed Arshad Ali et al.

2019 9TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, DATA SCIENCE & ENGINEERING (CONFLUENCE 2019) (2019)

Article Computer Science, Information Systems

An effective task scheduling algorithm based on dynamic energy management and efficient resource utilization in green cloud computing environment

Yong Lu et al.

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2019)

Article Computer Science, Information Systems

Multi-Objective Workflow Scheduling With Deep-Q-Network-Based Multi-Agent Reinforcement Learning

Yuandou Wang et al.

IEEE ACCESS (2019)

Article Computer Science, Hardware & Architecture

Energy-Efficient Scheduling for Real-Time Systems Based on Deep Q-Learning Mode

Qingchen Zhang et al.

IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING (2019)

Article Computer Science, Information Systems

Multi-objective Task Scheduling to Minimize Energy Consumption and Makespan of Cloud Computing Using NSGA-II

A. Sathya Sofia et al.

JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT (2018)

Article Computer Science, Hardware & Architecture

Energy management strategy in cloud computing: a perspective study

Taha Chaabouni et al.

JOURNAL OF SUPERCOMPUTING (2018)

Article Computer Science, Hardware & Architecture

An adaptive task allocation technique for green cloud computing

Sambit Kumar Mishra et al.

JOURNAL OF SUPERCOMPUTING (2018)

Article Computer Science, Artificial Intelligence

A load prediction model for cloud computing using PSO-based weighted wavelet support vector machine

Wei Zhong et al.

APPLIED INTELLIGENCE (2018)

Article Computer Science, Hardware & Architecture

An Integer Linear Programming model and Adaptive Genetic Algorithm approach to minimize energy consumption of Cloud computing data centers

Huda Ibrahim et al.

COMPUTERS & ELECTRICAL ENGINEERING (2018)

Article Computer Science, Theory & Methods

Scheduling parallel tasks with energy and time constraints on. multiple manycore processors in a cloud computing environment

Keqin Li

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2018)

Article Computer Science, Hardware & Architecture

Soft error-aware energy-efficient task scheduling for workflow applications in DVFS-enabled cloud

Tingming Wu et al.

JOURNAL OF SYSTEMS ARCHITECTURE (2018)

Article Computer Science, Interdisciplinary Applications

Energy-aware scheduling algorithm for time-constrained workflow tasks in DVFS-enabled cloud environment

Monire Safari et al.

SIMULATION MODELLING PRACTICE AND THEORY (2018)

Article Computer Science, Hardware & Architecture

An energy-saving strategy based on multi-server vacation queuing theory in cloud data center

Yin Chunxia et al.

JOURNAL OF SUPERCOMPUTING (2018)

Article Computer Science, Hardware & Architecture

PL-DVFS: combining Power-aware List-based scheduling algorithm with DVFS technique for real-time tasks in Cloud Computing

Monireh Safari et al.

JOURNAL OF SUPERCOMPUTING (2018)

Proceedings Paper Computer Science, Artificial Intelligence

Improving Energy Usage in Cloud Computing Using DVFS

Sambit Kumar Mishra et al.

PROGRESS IN ADVANCED COMPUTING AND INTELLIGENT ENGINEERING, PROCEEDINGS OF ICACIE 2016, VOLUME 1 (2018)

Review Engineering, Manufacturing

Perspectives on the Impact of Machine Learning, Deep Learning, and Artificial Intelligence on Materials, Processes, and Structures Engineering

Dennis M. Dimiduk et al.

INTEGRATING MATERIALS AND MANUFACTURING INNOVATION (2018)

Article Computer Science, Software Engineering

Dynamic Voltage and Frequency Scaling-aware dynamic consolidation of virtual machines for energy efficient cloud data centers

Patricia Arroba et al.

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE (2017)

Review Computer Science, Hardware & Architecture

Load-balancing algorithms in cloud computing: A survey

Einollah Jafarnejad Ghomi et al.

JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2017)

Article Computer Science, Information Systems

An Energy-Efficient Task Scheduling Algorithm in DVFS-enabled Cloud Environment

Zhuo Tang et al.

JOURNAL OF GRID COMPUTING (2016)

Article Computer Science, Hardware & Architecture

A survey on cloud computing security: Issues, threats, and solutions

Saurabh Singh et al.

JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2016)

Article Computer Science, Theory & Methods

A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems

Abdul Hameed et al.

COMPUTING (2016)

Proceedings Paper Computer Science, Theory & Methods

A Reinforcement Learning-Based Power Management Framework for Green Computing Data Centers

Xue Lin et al.

PROCEEDINGS 2016 IEEE INTERNATIONAL CONFERENCE ON CLOUD ENGINEERING (IC2E) (2016)

Article Computer Science, Theory & Methods

Cost-aware challenges for workflow scheduling approaches in cloud computing environments: Taxonomy and opportunities

Ehab Nabiel Alkhanak et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2015)

Article Computer Science, Theory & Methods

Resource-aware hybrid scheduling algorithm in heterogeneous distributed computing

Mihaela-Andreea Vasile et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2015)

Review Computer Science, Hardware & Architecture

A survey on virtual machine migration and server consolidation frameworks for cloud data centers

Raja Wasim Ahmad et al.

JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2015)

Review Computer Science, Hardware & Architecture

Resource management for Infrastructure as a Service (IaaS) in cloud computing: A survey

Sunilkurnar S. Manvi et al.

JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2014)

Review Green & Sustainable Science & Technology

A review of data center cooling technology, operating conditions and the corresponding low-grade waste heat recovery opportunities

Khosrow Ebrahimi et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2014)

Article Multidisciplinary Sciences

The Coral Reefs Optimization Algorithm: A Novel Metaheuristic for Efficiently Solving Optimization Problems

S. Salcedo-Sanz et al.

SCIENTIFIC WORLD JOURNAL (2014)

Article Computer Science, Theory & Methods

Characterizing and profiling scientific workflows

Gideon Juve et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2013)

Article Computer Science, Theory & Methods

Understanding the future of energy-performance trade-off via DVFS in HPC environments

M. Etinski et al.

JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING (2012)