Cloud Platform for Energy-aware Resource Management within SMEs

被引:0
作者
Suciu, George [1 ]
Butca, Cristina [2 ]
Suciu, Victor [2 ]
机构
[1] Univ Politehn Bucuresti, Dept Telecommun, Bucharest, Romania
[2] Beia Consult Int, R&D Dept, Bucharest, Romania
来源
2016 INTERNATIONAL CONFERENCE ON APPLIED AND THEORETICAL ELECTRICITY (ICATE) | 2016年
关键词
cloud platform; energy efficiency; resource management; SME;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Environment concerns have gained more and more prevalence in the past decades, as better data and alarming prognosis regarding energy efficiency emerge from research. The private business sector already started to join the efforts with participation from both large companies and SMEs. Nowadays, in order to reduce energy costs and avoid penalties, companies concern themselves with an efficient use of tools and methodologies meant to help them monitor and manage resources. Smart solutions existing on the market allow organizations to gain control over the work environment through automatization and to maximize the comfort level of employees, while diminishing energy costs, following the principles of sustainable development. The purpose of this paper is to describe the methodologies and tools that can be integrated into a cloud platform, which will optimize the SMEs way to consume energy by providing them an overview of their consumption. Moreover, the papers presents the benefits that cloud platforms for energy-aware resource management can provide for SMEs and the main solutions which can be integrated in the field of building automation.
引用
收藏
页数:5
相关论文
共 50 条
[21]   QoS- and Energy-Aware Services Management of Resources in a Cloud Computing Environment [J].
Martyna, Jerzy .
COMPUTER NETWORKS, CN 2018, 2018, 860 :402-413
[22]   Scalability Evaluation of an Energy-Aware Resource Management System for Clusters of Web Servers [J].
Kiertscher, Simon ;
Schnor, Bettina .
PROCEEDINGS OF THE 2015 INTERNATIONAL SYMPOSIUM ON PERFORMANCE EVALUATION OF COMPUTER AND TELECOMMUNICATION SYSTEMS (SPECTS), 2015,
[23]   Energy-aware resource management in Internet of vehicles using machine learning algorithms [J].
Chen, Sichao ;
Hu, Yuanchao ;
Huang, Liejiang ;
Shen, Dilong ;
Pan, Yuanjun ;
Pan, Ligang .
JOURNAL OF HIGH SPEED NETWORKS, 2023, 29 (01) :27-39
[24]   Energy-Aware Resource Management of Virtual Machines under Thermal and Placement Constraints [J].
Hashimoto, Hideaki ;
Matsuo, Keigo ;
Chikira, Kazuaki ;
Nakamura, Masayuki ;
Urata, Joji .
2014 INTERNATIONAL GREEN COMPUTING CONFERENCE (IGCC), 2014,
[25]   VECMAN: A Framework for Energy-Aware Resource Management in Vehicular Edge Computing Systems [J].
Bahreini, Tayebeh ;
Brocanelli, Marco ;
Grosu, Daniel .
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2023, 22 (02) :1231-1245
[26]   Handling hierarchy in cloud data centers: A Hyper-Heuristic approach for resource contention and energy-aware Virtual Machine management [J].
Zhang, Jiayin ;
Yu, Huiqun ;
Fan, Guisheng ;
Li, Zengpeng ;
Xu, Jin ;
Li, Jun .
EXPERT SYSTEMS WITH APPLICATIONS, 2024, 249
[27]   Energy-Aware and Trust-Collaboration Cross-Domain Resource Allocation Algorithm for Edge-Cloud Workflows [J].
Li, Juan ;
Qin, Zhiwei ;
Liu, Wei ;
Yu, Xiao .
IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (04) :7249-7264
[28]   Energy-aware task scheduling in mobile cloud computing [J].
Chaogang Tang ;
Mingyang Hao ;
Xianglin Wei ;
Wei Chen .
Distributed and Parallel Databases, 2018, 36 :529-553
[29]   Towards energy-aware job consolidation scheduling in cloud [J].
Sanjeevi, P. ;
Viswanathan, P. .
2016 INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT), VOL 1, 2016, :361-366
[30]   Towards an Energy-Aware Cloud Architecture for Smart Grids [J].
Kavanagh, Richard ;
Armstrong, Django ;
Djemame, Karim ;
Sommacampagna, Davide ;
Blasi, Lorenzo .
ECONOMICS OF GRIDS, CLOUDS, SYSTEMS, AND SERVICES, GECON 2015, 2016, 9512 :190-204