CECT: computationally efficient congestion-avoidance and traffic engineering in software-defined cloud data centers
Sign Up to like & getrecommendations! Published in 2018 at "Cluster Computing"
DOI: 10.1007/s10586-018-2815-6
Abstract: The proliferation of cloud data center applications and network function virtualization (NFV) boosts dynamic and QoS dependent traffic into the data centers network. Currently, lots of network routing protocols are requirement agnostic, while other QoS-aware… read more here.
Keywords: traffic; network; cloud data; congestion ... See more keywords
An Energy-Efficient Strategy for Virtual Machine Allocation over Cloud Data Centers
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Network and Systems Management"
DOI: 10.1007/s10922-019-09489-w
Abstract: With the increase in the scale of cloud data centers, more attention is being focused on the issue of energy conservation. In order to achieve greener, more efficient computing in cloud data centers, in this… read more here.
Keywords: energy efficient; energy; cloud data; strategy ... See more keywords
A Hybrid Strategy for Resource Allocation and Load Balancing in Virtualized Data Centers Using BSO Algorithms
Sign Up to like & getrecommendations! Published in 2017 at "Wireless Personal Communications"
DOI: 10.1007/s11277-016-3481-8
Abstract: In data centers are provided solution to the consumer and to the organization by means of store and process their data. When scheduling operation carrying more requirements for resources than it can hold, in this… read more here.
Keywords: allocation load; resource allocation; load balancing; load ... See more keywords
Collaborative deep learning across multiple data centers
Sign Up to like & getrecommendations! Published in 2020 at "Science China Information Sciences"
DOI: 10.1007/s11432-019-2705-2
Abstract: Valuable training data is often owned by independent organizations and located in multiple data centers. Most deep learning approaches require to centralize the multi-datacenter data for performance purpose. In practice, however, it is often infeasible… read more here.
Keywords: collaborative deep; multiple data; model averaging; deep learning ... See more keywords
Recent advancements on thermal management and evaluation for data centers
Sign Up to like & getrecommendations! Published in 2018 at "Applied Thermal Engineering"
DOI: 10.1016/j.applthermaleng.2018.07.004
Abstract: Abstract As the hub of data storage, network communication, and computation station, data center has been inseparable from the development of each social sector. With the increasing demand on the data communication and calculation, the… read more here.
Keywords: thermal management; data centers; management evaluation; evaluation data ... See more keywords
Energy saving analysis of evaporative cooling composite air conditioning system for data centers
Sign Up to like & getrecommendations! Published in 2021 at "Applied Thermal Engineering"
DOI: 10.1016/j.applthermaleng.2020.116506
Abstract: Abstract An evaporative cooling composite air conditioning system aimed at enhancing energy efficiency of data centers was proposed. Furthermore, the mathematical models on the base of the operation characteristics of the system were established. After… read more here.
Keywords: system; energy; evaporative cooling; cooling composite ... See more keywords
Solutions of thermal management problems for terminal racks of in-row cooling architectures in data centers
Sign Up to like & getrecommendations! Published in 2021 at "Building and Environment"
DOI: 10.1016/j.buildenv.2021.107991
Abstract: Abstract Problems of hot air recirculation, hot spots, and bad performance indices of data centers at terminal racks were noticed and reported in the literature. The present work investigates the possible management solutions of heterogeneous… read more here.
Keywords: terminal racks; air; racks row; row cooling ... See more keywords
A novel integrated fuzzy control system toward automated local airflow management in data centers
Sign Up to like & getrecommendations! Published in 2021 at "Control Engineering Practice"
DOI: 10.1016/j.conengprac.2021.104833
Abstract: Abstract Today, Data Centers (DCs) are dynamic environments with considerable fluctuations in workload and power dissipation. As a result, active monitoring and dynamic thermal management strategies are essential. In this study, an automated dynamic airflow… read more here.
Keywords: system; management; control; airflow management ... See more keywords
HIGA: Harmony-inspired genetic algorithm for rack-aware energy-efficient task scheduling in cloud data centers
Sign Up to like & getrecommendations! Published in 2020 at "Engineering Science and Technology, an International Journal"
DOI: 10.1016/j.jestch.2019.03.009
Abstract: Abstract Reducing energy consumption in cloud data centers is one of the prime issue in the cloud community. It reduces energy related costs and increases lifespan of high performance computing resources deployed in cloud data… read more here.
Keywords: genetic algorithm; cloud data; energy; data centers ... See more keywords
Towards the stand-alone operation of data centers with free cooling and optimally sized hybrid renewable power generation and energy storage
Sign Up to like & getrecommendations! Published in 2018 at "Renewable and Sustainable Energy Reviews"
DOI: 10.1016/j.rser.2018.05.006
Abstract: Abstract Recent increases in the global demand for IT services have increased the power consumption, total ownership costs and environmental footprint of data centers. Recent efforts to reduce these effects have focused on either their… read more here.
Keywords: energy; power; power generation; renewable power ... See more keywords
EEUI: a new measure to monitor and manage energy efficiency in data centers
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Productivity and Performance Management"
DOI: 10.1108/ijppm-08-2016-0160
Abstract: Purpose Data centers (DCs) are similar to traditional factories in many aspects like response time constraints, limited capacity, and utilization levels. Several indicators have been developed to monitor and compare productivity in manufacturing. However, in… read more here.
Keywords: monitor; energy; new measure; efficiency ... See more keywords