Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
ATZ-Fachkongress

Chassis.tech plus 2024


4 Kongresse in einer Veranstaltung

Treffen Sie in München die Fachleute von Chassis, Lenkung, Bremsen sowie Reifen/Räder.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
35 W GaN Solid-State Driver Power Amplifier for L-Band Radar Applications Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

Research Issues for Energy-Efficient Cloud Computing

verfasst von : Nitin S. More, Rajesh B. Ingle

Erschienen in: Intelligent Computing and Information and Communication

Verlag: Springer Singapore

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Everyone is using highly computing devices nowadays and indirectly getting part of cloud computing, IOT, and virtual machines being either as a client or server. All this was possible because of virtualization techniques and upgradation of technologies from networking to ubiquitous computing. However, today, there is a need of considering the cost of computing devices versus the cost of power consumed by computing devices. Everybody required mobile of more computing capacity and along with that more battery backup. This also is needed to be thought about cloud computing, as energy consumption by data centers was increased year to year which also causing footprints of CO2 behind. According to Gartner, worlds 2% CO2 emission was only due to IT industry. This paper deals with investigating such research issues for energy-efficient cloud computing.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Acceleration of CNN-Based Facial Emotion Detection Using NVIDIA GPU
Nächstes Kapitel Implementation of REST API Automation for Interaction Center
Literatur
1.
Infoworld, http://​www.​infoworld.​comtgreen-itkoomeys-law-computing-efficiency keeps-pace-moores-law-172681 access date 12 December 13.
2.
G. D. Koutitas, P. Demestichas, Challenges for Energy Efficiency in Local and Regional Data Centers, Journal of Green Engineering, pp. 1– 32, 2010.
3.
Anton Beloglazov, Energy-efficient management of virtual machines in data centers for cloud computing, Ph.D. thesis submitted to Melbourne university, February 2013.
4.
Neil Bergmann, Yuk Ying Chung, Xiangrui Yang, Zhe Chen, Wei Chang Yeh, Xi- angjian He, and Raja Jurdak. 2013. “Using swarm intelligence to optimize the energy consumption for distributed systems”. Modern Applied Science 7, 6 (2013), 5966. DOI:http://​dx.​doi.​org/​10.​5539/​mas.​v7n6p59.
5.
Quang-Hung Nguyen, Pham Dac Nien, Nguyen Hoai Nam, Nguyen Huynh Tuong, and Nam Thoai. 2013. “A genetic algorithm for power-aware virtual machine allocation in private cloud. In Information and Communicatiaon Technology”, Lecture Notes in Computer Science, Vol. 7804. Springer, Berlin, 183191.
6.
Kulseitova, A., Ang Tan Fong, “A survey of energy-efficient techniques in cloud data centers,” ICT for Smart Society (ICISS), 2013 International Conference on, vol., no., pp. 1, 5, 13–14 June 2013.
7.
Priya, B., Pilli, E.S., Joshi, R.C., “A survey on energy and power consumption models for Greener Cloud,” Advance Computing Conference (IACC), 2013 IEEE 3rd International, vol., no., pp. 76, 82, 22–23 Feb. 2013.
8.
Strunk A., “Costs of Virtual Machine Live Migration: A Survey,” Services (SER- VICES), 2012 IEEE Eighth World Congress on, vol., no., pp. 323, 329, 24–29 June 2012.
9.
Rahman, A., Xue Liu, Fanxin Kong, “A Survey on Geographic Load Balancing Based Data Center Power Management in the Smart Grid Environment,” Communications Surveys & Tutorials, IEEE, vol. 16, no. 1, pp. 214, 233, First Quarter 2014.
10.
Cavdar, D., Alagoz, F., “A survey of research on greening data centers,” Global Communications Conference (GLOBECOM), 2012 IEEE, vol., no., pp. 3242, 3–7 Dec. 2012.
11.
P. Mahadevan, P. Sharma, S. Banerjee and P. Ranganathan, Energy aware network operations, in Proceedings of the 28th IEEE international conference on Computer Communications Workshops, Rio de Janeiro, Brazil, 2009, pp. 25–30.
12.
T. Kaur and I. Chana, “Energy Efficiency Techniques in Cloud Computing: A Survey and Taxonomy” ACM Computing Surveys, Vol. 48, No. 2, Article 22, Publication date: October 2015.
13.
Ching-Hsien Hsu, Kenn Slagter, Shih-Chang Chen, and Yeh-Ching Chung. 2014. Optimizing energy consumption with task consolidation in clouds. Information Sciences 258 (Feb. 2014) 452462.
14.
L. Wang, S. U. Khan, D. Chen, J. Koodziej, R. Ranjan, C.-z. Xu, and A. Zomaya, “Energy-aware parallel task scheduling in a cluster,” Future Generation Computer Systems, 2013.
15.
White paper by T systems intel, “DataCenter 2020: first results for energy-optimization at existing data centers”, july 2010.
16.
RichaSinha et al, Int. J. Comp. Tech. Appl., Vol 2 (6), ISSN: 2229-6093, 2012, pp. 2041-2046.
17.
Dzmitry Kliazovich, Pascal Bouvry, and Samee U. Khan. 2013. DENS: Data center energy-efficient networkaware scheduling. Cluster Computing 16, 1 (2013), 6575, 2013.
Metadaten
Titel
Research Issues for Energy-Efficient Cloud Computing
verfasst von
Nitin S. More
Rajesh B. Ingle
Copyright-Jahr
2018
Verlag
Springer Singapore
Buch
Intelligent Computing and Information and Communication

Print ISBN: 978-981-10-7244-4

Electronic ISBN: 978-981-10-7245-1

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-981-10-7245-1_27

Premium Partner

    Bildnachweise