Service Request Scheduling based on Quantification Principle using Conjoint Analysis and Z-score in Cloud

Rajan, Arokia Paul

doi:10.11591/ijece.v8i2.pp1238-1246

Cited by 4 publications

(2 citation statements)

References 18 publications

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“…It concluded the ISO SQuaRE is most utilized. The work in [24] is service request scheduling based on quantification principle using conjoint analysis and z-score in the cloud. The study identified the most preferred attribute of a server and method to determine allocation of server.…”

Section: Related Workmentioning

confidence: 99%

Systematic mapping study of economic and business models of cloud services

Odun-Ayo

Williams

Abayomi‐Alli

et al. 2020

IJEECS

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<p><span>Cloud computing is a business paradigm wherein computers and computing related services are provided by Cloud Service Providers to consumers either as software, development platform, or infrastructure. From an economic and business perspective, Cloud services involve cost, ownership quality of service and service level agreements. There are studies on economic and business models of cloud services on the cloud landscape especially in the area of pricing. Despite this, there is still a dearth of papers in this area of study. The objective of this study is to conduct a systematic mapping study to collect all relevant research on economic and business models of Cloud services. A systematic map provides a structured overview in a particular research area. The representation of the mapping process offers unique course-grained overview of the results. The results are presented in terms of research such as evaluation and solution, and contribution such as tools and method utilized. The results showed that there are more publications on pricing models in relation to tools with 6.87% and model with 14.5%, more publications on economic and business implications in terms of method with 11.45%, more publications on Cloud market in term of processes with 6.87%, more papers on security in the area of evaluation with 8.55% and validation research with 6.58%, and more papers on Cloud markets with respect to experience with 4.61% and validation with 5.92%. The research gaps identified in this study should motivate researchers to carry out more mapping studies in the field.</span></p>

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Section: Related Workmentioning

confidence: 99%

Systematic mapping study of economic and business models of cloud services

Odun-Ayo

Williams

Abayomi‐Alli

et al. 2020

IJEECS

View full text Add to dashboard Cite

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“…Wu et al found that the cloud service of the weighted average algorithm can improve the processing and analysis ability of tourism data, so as to improve the efficiency of tourism management [7]. Paul Rajan's research showed that the prediction of travel information through cloud services of the weighted average algorithm can improve the travel experience of travelers [8]. e research of Quadir and Vijayakumar showed that the cloud service's information prediction accuracy in smart tourism management is greatly improved after the weighted average processing [9].…”

Section: Introductionmentioning

confidence: 99%

Application of Cloud Service in Smart Tourism Management Based on Weighted Average Algorithm

Feng

2022

Mathematical Problems in Engineering

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Tourism has become the main force driving urban economic development. However, there are problems such as low utilization rate of tourism resources and inconsistency of tourism information. The new smart tourism management model can sense tourism resources, tourist information, tourism development, and other information in a timely manner through terminal devices such as the Internet. The core of smart tourism management is to obtain travel information of travelers through cloud service technology, organize travel information, and recommend personalized travel plans for travelers. Apply cloud services to smart tourism management, and use the weighted average algorithm to make regression predictions on passenger information. This paper compares and analyzes the application of cloud service based on the algorithm for calculating the weighted average and the application of ordinary cloud service in smart tourism management through experiments. The experimental results show that the cloud service by adding weights can improve the forecast of the traveler’s information by 36% and 22%, respectively, compared with the cloud service of the ordinary average algorithm. Also, the effect of tourists’ travel experience is 72.2% and 56.3%, respectively. In the forecast of tourism information in tourism resources, tourism economy, and tourism activities, cloud services by adding weights maintain stable economic growth and improve tourists’ tourism experience. The cloud service in the smart tourism management of the weighted average algorithm can formulate corresponding tourism marketing strategies through the integration and prediction of tourism information, enhance the growth of the tourism economy, and improve the tourism experience of tourists.

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Serverless Architecture - A Revolution in Cloud Computing

Rajan

2018

2018 Tenth International Conference on Advanced Computing (ICoAC)

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Service Request Scheduling based on Quantification Principle using Conjoint Analysis and Z-score in Cloud

Cited by 4 publications

References 18 publications

Systematic mapping study of economic and business models of cloud services

Systematic mapping study of economic and business models of cloud services

Application of Cloud Service in Smart Tourism Management Based on Weighted Average Algorithm

Serverless Architecture - A Revolution in Cloud Computing

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