Selection of optimal cloud services based on quality of service ontology

2018 ◽  
Vol 23 (6) ◽  
pp. 127-141 ◽  
Author(s):  
Zhenglan XIE ◽  
Hankun YIN
Keyword(s):  
Quality Of Service ◽  
Cloud Services ◽  
Service Ontology ◽  
Selection Of

scholarly journals Web Services Selection Based on Mixed Context and Quality of Service Ontology

2011 ◽  
Vol 4 (3) ◽  
Author(s):  
Nabil Keskes ◽  
Ahmed Lehireche ◽  
Abdellatif Rahmoun
Keyword(s):  
Quality Of Service ◽  
Web Services ◽  
Service Ontology

scholarly journals A Multi Objective Particle Swarm Optimization for Wireless Sensor Networks and Routing Security

2020 ◽  
Vol 9 (7) ◽  
pp. 1132-1136
Keyword(s):  
Quality Of Service ◽  
Internet Of Things ◽  
Wireless Sensor ◽  
Service Network ◽  
Swarm Optimization ◽  
Routing Security ◽  
Wireless Service ◽  
Node Clustering ◽  
Selection Of

WSN stands for Wireless Sensor Network it is an prefect models of the IoT or Internet of Things that gives checking administrations to catastrophic events, for example, volcanoes ejection and seismic tremor which can influence the life of person. All things considered, the QoS or Quality-of-Service it is a significant problem of the basic application so that it is adequate as well as heartiness is guaranteed. Other than this without a doubt administrations and commitments in checking frameworks, WSN's restricted assets can seriously corrupt the Quality-of-Service in the application of Internet of Things. There will be a decrease in the Quality-of-Service because of the blockage in the wireless service network in the application. For these situtations proficient utilization for the rare assets might be critical for guaranteeing consistent tramission of the information. Decreasing pace in the retransmission of the parcel that occurs due to the blockage diminishes sensor hubs power utilization. PDNC also known as Packet Discarding based Node Clustering that is a specific bundle disposing of technique is presented in this research paper. Every hubs conveyed will be bunched to a few gatherings that focuses on the zone and at once selection of a group head will be done. Parcel disposing of procedure will at that point be conveyed at every hub to diminish the quantity of bundles adding to blockage. Reenactment examination utilizing NS-2 demonstrates that the proposed method can lessen blockage along these lines improve the general execution.

Grid Workflows with Encompassed Business Relationships

2012 ◽  
pp. 1332-1348
Author(s):  
Dimosthenis Kyriazis ◽  
Andreas Menychtas ◽  
Theodora Varvarigou
Keyword(s):  
Quality Of Service ◽  
Service Providers ◽  
Added Value ◽  
Business Relationships ◽  
Qos Provisioning ◽  
Grid Services ◽  
Qos Parameters ◽  
Mapping Process ◽  
Selection Of

This chapter focuses on presenting and describing an approach that allows the mapping of workflow processes to Grid provided services by not only taking into account the quality of service (QoS) parameters of the Grid services but also the potential business relationships of the service providers that may affect the aforementioned QoS parameters. This approach is an integral part of the QoS provisioning, since this is the only way to estimate, calculate, and conclude to the mapping of workflows and the selection of the available service types and instances in order to deliver an overall quality of service across a federation of providers. The added value of this approach lays on the fact that business relationships of the service providers are also taken into account during the mapping process.

Grid Workflows with Encompassed Business Relationship

2011 ◽  
pp. 128-145 ◽  
Author(s):  
Dimosthenis Kyriazis ◽  
Andreas Menychtas ◽  
Theodora Varvarigou
Keyword(s):  
Quality Of Service ◽  
Service Providers ◽  
Added Value ◽  
Business Relationships ◽  
Qos Provisioning ◽  
Grid Services ◽  
Qos Parameters ◽  
Mapping Process ◽  
Selection Of

This chapter focuses on presenting and describing an approach that allows the mapping of workflow processes to Grid provided services by not only taking into account the quality of service (QoS) parameters of the Grid services but also the potential business relationships of the service providers that may affect the aforementioned QoS parameters. This approach is an integral part of the QoS provisioning, since this is the only way to estimate, calculate, and conclude to the mapping of workflows and the selection of the available service types and instances in order to deliver an overall quality of service across a federation of providers. The added value of this approach lays on the fact that business relationships of the service providers are also taken into account during the mapping process.

Dynamic QoS-Aware Cloud Service Selection Using Best-Worst Method and Timeslot Weighted Satisfaction Scores

2020 ◽  
Author(s):  
Falak Nawaz ◽  
Naeem Khalid Janjua
Keyword(s):  
Decision Making ◽  
Service Selection ◽  
Cloud Service ◽  
Cloud Services ◽  
Satisfaction Score ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Best Worst Method ◽  
Selection Of

Abstract The number of cloud services has dramatically increased over the past few years. Consequently, finding a service with the most suitable quality of service (QoS) criteria matching the user’s requirements is becoming a challenging task. Although various decision-making methods have been proposed to help users to find their required cloud services, some uncertainties such as dynamic QoS variations hamper the users from employing such methods. Additionally, the current approaches use either static or average QoS values for cloud service selection and do not consider dynamic QoS variations. In this paper, we overcome this drawback by developing a broker-based approach for cloud service selection. In this approach, we use recently monitored QoS values to find a timeslot weighted satisfaction score that represents how well a service satisfies the user’s QoS requirements. The timeslot weighted satisfaction score is then used in Best-Worst Method, which is a multi-criteria decision-making method, to rank the available cloud services. The proposed approach is validated using Amazon’s Elastic Compute Cloud (EC2) cloud services performance data. The results show that the proposed approach leads to the selection of more suitable cloud services and is also efficient in terms of performance compared to the existing analytic hierarchy process-based cloud service selection approaches.

scholarly journals FAKTOR KEPUASAN WISATAWAN PENGGUNA TRANSPORTASI LAUT DARI BALI KE GILI TRAWANGAN

Jurnal IPTA ◽  
2018 ◽  
Vol 6 (2) ◽  
pp. 124
Author(s):  
Syukriyan Abrar Syah ◽  
Ni Gusti Ayu Susrami Dewi ◽  
Putu Agus Wikanatha Sagita
Keyword(s):  
Quality Of Service ◽  
Dominant Factor ◽  
Sea Transport ◽  
Marine Transportation ◽  
Factors Affecting ◽  
Cost Factor ◽  
Level Of Satisfaction ◽  
The Cost ◽  
Selection Of

This research aims to analyze factors affecting the satisfaction of tourists in the use of marine transportation from Bali toward Gili Trawangan. The benefits of this research useful to the company in improving the services for tourists who will use the services of a crosswalk leading to Gili Trawangan.The respondents in this research totalled 190 respondents, the selection of the sample using the method of purposive sampling, the data in this study were analyzed using the analysis factors that help by statistikal program SPSS version 17.0 for windows. The results of this study are: 1) the satisfaction of tourists in the use of sea transport in general are at a level of satisfaction. 2) there are three factors that affect the satisfaction of tourists formed i.e. factors quality of maids, the cost factor & ease factors and product quality. Quality of service factor is the most dominant factor influencing the satisfaction of travellers with variable reliability as the dominant variables, and the variable availability schedule is a variable that must be improved.

scholarly journals Fog Computing-Security Platform for IoT and Cloud in-Healthcare System

2019 ◽  
Vol 9 (2) ◽  
pp. 4419-4424
Keyword(s):  
Cloud Computing ◽  
Quality Of Service ◽  
Service Management ◽  
New Technology ◽  
Fog Computing ◽  
Cloud Services ◽  
Third Party ◽  
Selection System ◽  
Search Tool

The introduction of cloud computing has revolutionized business and technology. Cloud computing has merged technology and business creating an almost indistinguishable framework. Cloud computing has utilized various techniques that have been vital in reshaping the way computers are used in business, IT, and education. Cloud computing has replaced the distributed system of using computing resources to a centralized system where resources are easily shared between user and organizations located in different geographical locations. Traditionally the resources are usually stored and managed by a third-party, but the process is usually transparent to the user. The new technology led to the introduction of various user needs such as to search the cloud and associated databases. The development of a selection system used to search the cloud such as in the case of ELECTRE IS and Skyline; this research will develop a system that will be used to manage and determine the quality of service constraints of these new systems with regards to networked cloud computing. The method applied will mimic the various selection system in JAVA and evaluate the Quality of service for multiple cloud services. The FogTorch search tool will be used for quality service management of three cloud services.

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