E-Healthcare Web Service Broker Infrastructure in Cloud Environment

2012 ◽  
Author(s):  
Ching-Seh Wu ◽  
Ibrahim Khoury
Keyword(s):  
Web Service ◽  
Cloud Environment ◽  
Service Broker

Web Service Scheduling in Multi-Cloud Environment

2019 ◽  
Vol 7 (1) ◽  
pp. 30-38
Author(s):  
P. Sen ◽  
D.Sarddar . ◽  
S.K. Sinha ◽  
R. Pandit
Keyword(s):  
Web Service ◽  
Cloud Environment ◽  
Service Scheduling ◽  
Multi Cloud

scholarly journals Efficient and Cost-effective Service Broker Policy Based on User Priority in VIKOR for Cloud Computing

2021 ◽  
pp. 1-8
Author(s):  
Mohammed Radi ◽  
Ali Alwan ◽  
Abedallah Abualkishik ◽  
Adam Marks ◽  
Yonis Gulzar
Keyword(s):  
Cloud Computing ◽  
Response Time ◽  
Service Providers ◽  
Cost Effective ◽  
Cloud Service ◽  
User Preferences ◽  
Cloud Environment ◽  
Data Centre ◽  
Wide Range ◽  
Service Broker

Cloud computing has become a practical solution for processing big data. Cloud service providers have heterogeneous resources and offer a wide range of services with various processing capabilities. Typically, cloud users set preferences when working on a cloud platform. Some users tend to prefer the cheapest services for the given tasks, whereas other users prefer solutions that ensure the shortest response time or seek solutions that produce services ensuring an acceptable response time at a reasonable cost. The main responsibility of the cloud service broker is identifying the best data centre to be used for processing user requests. Therefore, to maintain a high level of quality of service, it is necessity to develop a service broker policy that is capable of selecting the best data centre, taking into consideration user preferences (e.g. cost, response time). This paper proposes an efficient and cost-effective plan for a service broker policy in a cloud environment based on the concept of VIKOR. The proposed solution relies on a multi-criteria decision-making technique aimed at generating an optimized solution that incorporates user preferences. The simulation results show that the proposed policy outperforms most recent policies designed for the cloud environment in many aspects, including processing time, response time, and processing cost. KEYWORDS Cloud computing, data centre selection, service broker, VIKOR, user priorities

An optimized service broker routing policy based on differential evolution algorithm in fog/cloud environment

2017 ◽  
Vol 22 (S1) ◽  
pp. 1639-1653 ◽  
Author(s):  
Ahmad M. Manasrah ◽  
Ala’a Aldomi ◽  
B. B. Gupta
Keyword(s):  
Differential Evolution ◽  
Differential Evolution Algorithm ◽  
Cloud Environment ◽  
Routing Policy ◽  
Evolution Algorithm ◽  
Service Broker

Automatic Classification Method of Web Services in Cloud Environment

2014 ◽  
Vol 543-547 ◽  
pp. 2933-2936
Author(s):  
Jun Rong Li ◽  
Wen Bo Zhou ◽  
Li Wen Mu ◽  
Tong Yu Yin ◽  
Yuan Li Feng
Keyword(s):  
Web Services ◽  
Web Service ◽  
Cloud Service ◽  
Cloud Services ◽  
Classification Method ◽  
Cloud Environment ◽  
Research Topics ◽  
Resource Requirements ◽  
Service Resource ◽  
Service Site

Different cloud services need different resources, how to use the resources efficiently has become one of the hot research topics about cloud computing. In order to improve the utilization of resources in cloud, this paper proposes an automatic cloud service classification method, which uses an artificial neural network to predict the type of service resource requirements, and classifies services based on the predicting result. In this paper, we do classification experiments on three groups of Web services on Web service site. The experiment results show that, the method is effective and can predict the type of resource requirements for Web services automatically.

Improving data transfer performance of web service workflows in the cloud environment

2013 ◽  
Vol 8 (3) ◽  
pp. 198
Author(s):  
Donglai Zhang ◽  
Paul Coddington ◽  
Andrew L. Wendelborn
Keyword(s):  
Web Service ◽  
Data Transfer ◽  
Transfer Performance ◽  
Cloud Environment

Web Service Composition in Cloud: A Fuzzy Rule Model

2020 ◽  
Vol 13 (3) ◽  
pp. 446-453
Author(s):  
Hussien Alhadithy ◽  
Bassam Al-Shargabi
Keyword(s):  
Cloud Computing ◽  
Web Services ◽  
Web Service ◽  
Fuzzy Rule ◽  
Fuzzy Rules ◽  
Experimental Result ◽  
User Requirements ◽  
Cloud Environment ◽  
Proposed Model ◽  
Rule Approach

Background: Cloud Computing has drawn much attention in the industry due to its costefficient schema along with more prospects, such as elasticity and scalability nature of Cloud Computing. One of the main service models of a Cloud is software as a service, where many web services are published and hosted in the Cloud environment. Many web services offered in a Cloud have similar functionality, with different of characteristics non-functional requirements such as Quality of Service (QoS). In addition, as individual web services are limited in their capability. Therefore, there is a need for composing existing services to create new functionality in the form of composite service to fulfill the requirements of Cloud user for certain processes. Methods: This paper introduces a fuzzy rule approach to compose web service based on QoS from different Cloud Computing providers. The fuzzy rule is generated based on QoS of discovered web service from Cloud in order to compose web services that only match user requirements. The proposed model is based on an agent that is responsible for discovering and composing web service that only stratified user requirements. Results: the experimental result shows that the proposed model is efficient in terms of time and the use of fuzzy rules to compose web services from different Cloud providers under different specifications and configurations of Cloud Computing environment. Conclusion: In this paper, an agent-based model was proposed to compose web services based on fuzzy rule in Cloud environment. The agent is responsible for discovering web services and generating composition plans based on offered QoS for each web service. The agent employs a set of fuzzy rules to carry out an intelligent selection to select the best composition plan that fulfills the requirements of the end user. The model was implemented on CloudSim to ensure the validity of the proposed model and performance time analysis was performed that showed good result in terms of time with regard to the Cloud Computing configuration.

Mobile Web Service Architecture in the Cloud Environment

2021 ◽  
pp. 55-67
Author(s):  
Anil A. Dudhe ◽  
Swati S. Sherekar
Keyword(s):  
Web Service ◽  
Cloud Environment ◽  
Service Architecture ◽  
Mobile Web
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