Fuzzy Allocation Optimization Algorithm for High-Density Storage Locations with Low Energy Consumptions DOI Creative Commons
Ziyi Gao, Ling Huang, Zhigang Wu

et al.

EAI Endorsed Transactions on Energy Web, Journal Year: 2024, Volume and Issue: 12

Published: Nov. 4, 2024

The global demand for stored and processed data has surged due to the development of IoTs similar computational structures, which led further energy consumption by concentrated storage facilities thus demands environmental needs. current paper introduces Fuzzy Allocation Optimization Algorithm mitigate in high density settings. It uses principles logic determine best way assign tasks relation necessity, urgency consumption. Thus, proposed approach incorporates fuzzy inference systems with multi-objective optimization methods where location is dynamically assessed assigned according efficiency parameters. findings simulation case study prove that algorithm successful saving while at same time lowering I/O response time, provides a viable solution issues evolving centres. This work satisfies lack efficient algorithms areas responds recent calls green technology smart utilization resources field. are used promotion significant IT infrastructures towards developing next generation centers respect Future Internet web environments.

Language: Английский

Resource allocation strategies and task scheduling algorithms for cloud computing: A systematic literature review DOI Creative Commons
Waleed Kareem Awad, Khairul Akram Zainol Ariffin, Mohd Zakree Ahmad Nazri

et al.

Journal of Intelligent Systems, Journal Year: 2025, Volume and Issue: 34(1)

Published: Jan. 1, 2025

Abstract The concept of cloud computing has completely changed how computational resources are delivered and used. By enabling on-demand access to collective through the internet. While this technological shift offers unparalleled flexibility, it also brings considerable challenges, especially in scheduling resource allocation, particularly when optimizing multiple objectives a dynamic environment. Efficient allocation critical computing, as they directly impact system performance, utilization, cost efficiency heterogeneous conditions. Existing approaches often face difficulties balancing conflicting objectives, such reducing task completion time while staying within budget constraints or minimizing energy consumption maximizing utilization. As result, many solutions fall short optimal leading increased costs degraded performance. This systematic literature review (SLR) focuses on research conducted between 2019 2023 Following preferred reporting items for reviews meta-analyses guidelines, ensures transparent replicable process by employing inclusion criteria bias. explores key concepts management classifies existing strategies into mathematical, heuristic, hyper-heuristic approaches. It evaluates popular algorithms designed optimize metrics consumption, reduction, makespan minimization, performance satisfaction. Through comparative analysis, SLR discusses strengths limitations various schemes identifies emerging trends. underscores steady growth field, emphasizing importance developing efficient address complexities modern systems. findings provide comprehensive overview current methodologies pave way future aimed at tackling unresolved challenges management. work serves valuable practitioners academics seeking environments, contributing advancements computing.

Language: Английский

Citations

0
Evaluation of Performance Enhancement by Data Compression in Cloud Computing DOI Creative Commons

Sunita Sunita,

Vivek Kumar Srivastava

Deleted Journal, Journal Year: 2024, Volume and Issue: 2(08), P. 2606 - 2617

Published: Aug. 13, 2024

Because it provides elastic, on-demand access to a wide range of resources and services, cloud computing has quickly become an integral part today's digital infrastructure. The difficulty efficiently transmitting storing data while maintaining high speed security is becoming more pressing as the amount handled in systems continues increase at exponential rate. Improving performance via use sophisticated compression algorithms focus this article. Optimization bandwidth use, reduction storage costs, acceleration transfer speeds may be achieved by techniques, which reduce sent stored data. Several lossless lossy are examined, their efficacy various cloud-based contexts assessed. Data encryption integrity verification two areas where we look how affects security. Our research shows that maintained significant increases smart methods. Best practices for deploying possible future discussed paper's conclusion.

Language: Английский

Citations

1
Multi Hierarchy Mapping Based Computing Power Scheduling for Data Center Optical Network DOI
Wenxin Liu, Hui Yang, Tiankuo Yu

et al.

Published: Nov. 4, 2023

This paper introduces a scheduling method of computing power in data center optical network based on multi-hierarchy mapping, which aims to solve the challenge heterogenous devices that may not be measured uniformly and realize balanced allocation residual resources between different hardware devices. Experimental results show this can significantly reduce total delay network, improve service processing efficiency by about 50%.

Language: Английский

Citations

3
Improving the Efficiency and Reliability of Renewable Energy Systems DOI Open Access
Xing Chen,

Dingguo Huang,

Qingchun Ren

et al.

Scalable Computing Practice and Experience, Journal Year: 2024, Volume and Issue: 25(2), P. 637 - 644

Published: Feb. 24, 2024

The implications of relevant sustainable practices have reflected the scholastic features to improve environmental resources. study highlights importance conservation environment and power system in search proven solutions penetration level. need for flexibility has signified special characteristics that are conventional increasing integrity renewable ideologies global trends integrated cost affectivity with growing applications projects. architecture wind solar energy touched successful benchmarks respect real world implications. conceptual help initializing towards biomass as well determining impact on a significant manner. In addition that, or photovoltaic cell been mentioned which greater significance. ideas based emission greenhouse gases evaluated shows after effects well. use passive active clearly discussed concept sustainability process administering various climatic conditions. Lastly, resources social, environmental, technical economic aspects verified practice sustainability.

Language: Английский

Citations

0
Energy Efficiency in Heterogenous Cloud Data Centers by Inculcating a Combination of Q- Learning and Deep Q-Networks DOI

V. Pandimurugan,

B. Balakiruthiga,

V. Rajaram

et al.

Published: March 14, 2024

In this ever-growing technological world where the cloud plays a massive role in accommodating all resources, there has been an increase amount of pressure on environment. Though helps us reduce physical server space, it still requires data centers to track its activity. With accounting for substantial portion global energy usage, is pressing need address sustainability challenges posed by their operations. This paper aims explore critical topic "Energy Efficiency Heterogenous Cloud Data Centers" inculcating combination Q-Learning and Deep-Q networks. this, we can create optimized algorithm that best fits situation high-energy-consuming enhances efficiency.

Language: Английский

Citations

0
Fuzzy Allocation Optimization Algorithm for High-Density Storage Locations with Low Energy Consumptions DOI Creative Commons
Ziyi Gao, Ling Huang, Zhigang Wu

et al.

EAI Endorsed Transactions on Energy Web, Journal Year: 2024, Volume and Issue: 12

Published: Nov. 4, 2024

The global demand for stored and processed data has surged due to the development of IoTs similar computational structures, which led further energy consumption by concentrated storage facilities thus demands environmental needs. current paper introduces Fuzzy Allocation Optimization Algorithm mitigate in high density settings. It uses principles logic determine best way assign tasks relation necessity, urgency consumption. Thus, proposed approach incorporates fuzzy inference systems with multi-objective optimization methods where location is dynamically assessed assigned according efficiency parameters. findings simulation case study prove that algorithm successful saving while at same time lowering I/O response time, provides a viable solution issues evolving centres. This work satisfies lack efficient algorithms areas responds recent calls green technology smart utilization resources field. are used promotion significant IT infrastructures towards developing next generation centers respect Future Internet web environments.

Language: Английский

Citations

0