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
Soft Computing
Erschienen in: Soft Computing 23/2017

11.07.2016 | Methodologies and Application

Evaluating the efficiency of cloud services using modified data envelopment analysis and modified super-efficiency data envelopment analysis

verfasst von: Chandrashekar Jatoth, G. R. Gangadharan, Ugo Fiore

Erschienen in: Soft Computing | Ausgabe 23/2017

Einloggen

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

search-config
loading …

Abstract

Several cloud services with comparable functionality are now available to customers at different prices and performance levels. Often, there may be trade-offs among different functional and non-functional requirements fulfilled by different cloud providers. Hence, it is difficult to evaluate the relative performances of the cloud services and their ranking based on various quality of service attributes. In this paper, we propose a modified data envelopment analysis and a modified super-efficiency data envelopment analysis for evaluating the cloud services and their efficiencies considering user preferences. We compare these methods of cloud service selection based on sensitivity analysis, adequacy to changes in DMUs, adequacy to support decision making and modeling of uncertainty. The comparison helps customers to choose a cloud service that is most suitable to their requirements and also creates a healthy competition among the cloud service providers.
Vorheriger Artikel A method with neural networks for the classification of fruits and vegetables
Nächster Artikel An improved gradient-based NSGA-II algorithm by a new chaotic map model

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 "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

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
Literatur
Ahmad N, Berg D, Simons GR (2006) The integration of analytical hierarchy process and data envelopment analysis in a multi-criteria decision-making problem. Int J Inf Technol Decis Mak 5(2):263–276CrossRef
Andersen P, Petersen NC (1993) A procedure for ranking efficient units in data envelopment analysis. Manag Sci 39(10):1261–1264CrossRefMATH
Azadeh A, Ghaderi S, Izadbakhsh H (2008) Integration of dea and ahp with computer simulation for railway system improvement and optimization. Appl Math Comput 195(2):775–785MATHMathSciNet
Azadeh A, Ghaderi S, Mirjalili M, Moghaddam M (2011) Integration of analytic hierarchy process and data envelopment analysis for assessment and optimization of personnel productivity in a large industrial bank. Expert Syst Appl 38(5):5212–5225CrossRef
Banker RD, Chang H (2006) The super-efficiency procedure for outlier identification, not for ranking efficient units. Eur J Oper Res 175(2):1311–1320CrossRefMATH
Banker RD, Charnes A, Cooper WW (1984) Some models for estimating technical and scale inefficiencies in data envelopment analysis. Manag Sci 30(9):1078–1092CrossRefMATH
Bedi P, Kaur H, Gupta B (2012) Trustworthy service provider selection in cloud computing environment. In: Proceedings of the 2012 international conference on communication systems and network technologies, IEEE, pp 714–719
Buyya R, Broberg J, Goscinski AM (2010) Cloud computing: principles and paradigms. Wiley, New Jersey
Chandrashekar J, Gangadharan GR, Buyya R (2016) Computational intelligence based qos-aware web service composition: a systematic literature review. IEEE Trans Serv Comput. doi:10.​1109/​TSC.​2015.​2473840
Chou CC (2010) An integrated quantitative and qualitative FMCDM model for location choices. Soft Comput 14(7):757–771CrossRef
Cooper WW, Seiford LM, Zhu J (2011) Handbook on data envelopment analysis, vol 164. Springer Science & Business Media, New YorkMATH
Ertay T, Ruan D (2005) Data envelopment analysis based decision model for optimal operator allocation in cms. Eur J Oper Res 164(3):800–810CrossRefMATH
Ertay T, Ruan D, Tuzkaya UR (2006) Integrating data envelopment analysis and analytic hierarchy for the facility layout design in manufacturing systems. Inf Sci 176(3):237–262CrossRef
Esposito C, Ficco M, Palmieri F, Castiglione A (2015) Smart cloud storage service selection based on fuzzy logic, theory of evidence and game theory. IEEE Trans Comput. doi:10.​1109/​TC.​2015.​2389952
Garg SK, Versteeg S, Buyya R (2013) A framework for ranking of cloud computing services. Future Gener Comput Syst 29(4):1012–1023CrossRef
Kuo R, Hsu C, Chen Y (2015) Integration of fuzzy anp and fuzzy TOPSIS for evaluating carbon performance of suppliers. Int J Environ Sci Technol 12(12):3863–3876CrossRef
Kuo RJ, Lin Y (2012) Supplier selection using analytic network process and data envelopment analysis. Int J Prod Res 50(11):2852–2863CrossRef
Kwon HK, Seo KK (2013) A decision-making model to choose a cloud service using fuzzy ahp. Adv Sci Technol Lett 35:93–96
Li A, Yang X, Kandula S, Zhang M (2010) Cloudcmp: comparing public cloud providers. In: Proceedings of the 10th ACM SIGCOMM conference on internet measurement, ACM, pp 1–14
Lin HT (2010) Personnel selection using analytic network process and fuzzy data envelopment analysis approaches. Comput Ind Eng 59(4):937–944CrossRef
Lin MI, Lee YD, Ho TN (2011) Applying integrated DEA/AHP to evaluate the economic performance of local governments in China. Eur J Oper Res 209(2):129–140CrossRef
Menzel M, Schönherr M, Tai S (2013) (mc2) 2: criteria, requirements and a software prototype for cloud infrastructure decisions. Softw Pract Exp 43(11):1283–1297CrossRef
Mohajeri N, Amin GR (2010) Railway station site selection using analytical hierarchy process and data envelopment analysis. Comput Ind Eng 59(1):107–114CrossRef
Ramanathan R (2006) Data envelopment analysis for weight derivation and aggregation in the analytic hierarchy process. Comput Oper Res 33(5):1289–1307CrossRefMATH
Saaty T (1980) Fundamentals of decision making and priority theory with analytical hierarchical process, vol 6. RWS Publications, University of Pittsburgh, Pittusburgh
Saaty TL (1996) Analytical network process. RWS Publications, Pittsburgh
Seiford LM, Zhu J (1999) An investigation of returns to scale in data envelopment analysis. Omega 27(1):1–11CrossRef
Shang J, Sueyoshi T (1995) A unified framework for the selection of a flexible manufacturing system. Eur J Oper Res 85(2):297–315CrossRefMATH
Shivakumar U, Ravi V, Gangadharan GR (2013) Ranking cloud services using fuzzy multi-attribute decision making. In: Proceedings of the IEEE international conference on fuzzy systems, pp 1–8
Silas S, Rajsingh EB, Ezra K (2012) Efficient service selection middleware using ELECTRE methodology for cloud environments. Inf Technol J 11(7):868–875CrossRef
Sinuany-Stern Z, Mehrez A, Hadad Y (2000) An AHP/DEA methodology for ranking decision making units. Int Trans Oper Res 7(2):109–124CrossRefMathSciNet
Wen M, Qin Z, Kang R, Yang Y (2015) Sensitivity and stability analysis of the additive model in uncertain data envelopment analysis. Soft Comput 19(7):1987–1996CrossRef
Xu C, Ma Y, Wang X (2015) A non-parametric data envelopment analysis approach for cloud services evaluation. In: Proceedings of the service-oriented computing-ICSOC 2014 workshops, Springer, pp 250–255
Yan S, Chen C, Zhao G, Lee BS (2012) Cloud service recommendation and selection for enterprises. In: Proceedings of the 8th international conference on network and service management and workshop on systems virtualization management, IEEE, pp 430–434
Yang T, Kuo C (2003) A hierarchical AHP/DEA methodology for the facilities layout design problem. Eur J Oper Res 147(1):128–s136CrossRefMATH
Zheng Z, Wu X, Zhang Y, Lyu MR, Wang J (2013) Qos ranking prediction for cloud services. IEEE Trans Parallel Distrib Syst 24(6):1213–1222CrossRef
Metadaten
Titel
Evaluating the efficiency of cloud services using modified data envelopment analysis and modified super-efficiency data envelopment analysis
verfasst von
Chandrashekar Jatoth
G. R. Gangadharan
Ugo Fiore
Publikationsdatum
11.07.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 23/2017
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-016-2267-y

Weitere Artikel der Ausgabe 23/2017

Soft Computing 23/2017 Zur Ausgabe

Methodologies and Application

Application of reproducing kernel algorithm for solving second-order, two-point fuzzy boundary value problems

Methodologies and Application

An intuitionistic fuzzy multi-criteria decision-making method based on non-hesitance score for interval-valued intuitionistic fuzzy sets

Methodologies and Application

Fitted Q-iteration and functional networks for ubiquitous recommender systems

Methodologies and Application

A method with neural networks for the classification of fruits and vegetables

Methodologies and Application

Ranking of incomplete trapezoidal information

Foundations

Comparing dependent combination rules under the belief classifier fusion framework

Premium Partner

    Bildnachweise