A Dependency-Aware Hierarchical Service Model for SaaS and Cloud Services

2011 ◽  
Author(s):  
Rui Wang ◽  
Yong Zhang ◽  
Shijun Liu ◽  
Lei Wu ◽  
Xiangxu Meng
Keyword(s):  
Cloud Services ◽  
Service Model

A Credible Cloud Service Model based on Behavior Graphs and Tripartite Decision-Making Mechanism

2016 ◽  
Vol 8 (3) ◽  
pp. 38-56 ◽  
Author(s):  
Junfeng Tian ◽  
He Zhang
Keyword(s):  
Decision Making ◽  
Cloud Service ◽  
Cloud Services ◽  
Service Model ◽  
The Past ◽  
Model Based ◽  
Cloud Users ◽  
Cloud User

The credibility of cloud service is the key to the success of the application of cloud services. The dual servers of master server and backup server are applied to cloud services, which can improve the availability of cloud services. In the past, the failures between master server and backup server could be detected by heartbeat algorithm. Because of lacking cloud user's evaluation, the authors put forward a credible cloud service model based on behavior Graphs and tripartite decision-making mechanism. By the quantitative of cloud users' behaviors evidences, the construction of behavior Graphs and the judgment of behavior, they select the most credible cloud user. They combine the master server, the backup server and the selected credible cloud user to determine the credibility of cloud service by the tripartite decision-making mechanism. Finally, according to the result of credible judgment, the authors could decide whether it will be switched from the master server to the backup server.

Digital Library Knowledge Service Model Research Based on Mobile Cloud Computing

2014 ◽  
Vol 631-632 ◽  
pp. 200-203
Author(s):  
Min Yao
Keyword(s):  
Digital Library ◽  
Mobile Cloud Computing ◽  
Cloud Service ◽  
Cloud Services ◽  
Mobile Cloud ◽  
Service Model ◽  
Knowledge Processing ◽  
Model Research ◽  
Technology Services ◽  
Knowledge Services

Digital library cloud service is the development and extension of traditional digital library knowledge services under the environment of mobile cloud. Meanwhile, it’s also the new stage of knowledge services development. Based on the analysis of mobile cloud technology services model and its advantages, taking “end”, ”tube”, ”cloud” as the main line, this paper build up digital library mobile cloud knowledge services model from three aspects: knowledge collecting, knowledge processing and knowledge using. Thus, it point out the opportunities and challenges faced by mobile cloud services and present the strategies of implementing knowledge cloud services.

A Credible Cloud Service Model Based on Behavior Graphs and Tripartite Decision-Making Mechanism

2019 ◽  
pp. 903-922
Author(s):  
Junfeng Tian ◽  
He Zhang
Keyword(s):  
Decision Making ◽  
Cloud Service ◽  
Cloud Services ◽  
Service Model ◽  
The Past ◽  
Model Based ◽  
Cloud Users ◽  
Cloud User

The credibility of cloud service is the key to the success of the application of cloud services. The dual servers of master server and backup server are applied to cloud services, which can improve the availability of cloud services. In the past, the failures between master server and backup server could be detected by heartbeat algorithm. Because of lacking cloud user's evaluation, the authors put forward a credible cloud service model based on behavior Graphs and tripartite decision-making mechanism. By the quantitative of cloud users' behaviors evidences, the construction of behavior Graphs and the judgment of behavior, they select the most credible cloud user. They combine the master server, the backup server and the selected credible cloud user to determine the credibility of cloud service by the tripartite decision-making mechanism. Finally, according to the result of credible judgment, the authors could decide whether it will be switched from the master server to the backup server.

On the Performance Evaluation of IaaS Cloud Services With System-Level Benchmarks

2018 ◽  
Vol 8 (1) ◽  
pp. 80-96 ◽  
Author(s):  
Sanjay P. Ahuja ◽  
Niharika Deval
Keyword(s):  
Performance Evaluation ◽  
System Parameter ◽  
Cloud Service ◽  
Cloud Services ◽  
System Level ◽  
Service Model ◽  
Network Utilization ◽  
And Storage ◽  
Cloud Users ◽  
Selection Of

Infrastructure-as-a-service is a cloud service model that allows customers to outsource computing resources such as servers and storage. This article evaluates four IaaS cloud services - Amazon EC2, Microsoft Azure, Google Compute Engine and Rackspace Cloud in a vendor-neutral approach with regards to system parameter usage including server, file I/O and network utilization. Thus, system-level benchmarking provides objective comparison of cloud providers from performance standpoint. Unixbench, Dbench and Iperf are the System-level benchmarks chosen to test the performance of server, file I/O and network respectively. In order to capture the variation in performance, the tests were performed at different times on weekdays and weekends. With each offering, the benchmarks are tested on different configurations to provide an insight to the cloud users in selection of provider followed by appropriate VM sizing according to the workload requirement. In addition to the performance evaluation, price-per-performance value of all the providers is also examined and compared.

Research on Innovation of Archives Management under Cloud Service Model

2014 ◽  
Vol 598 ◽  
pp. 695-698
Author(s):  
Zhong Hua Xia ◽  
Guo Hui Zhan ◽  
Dong Liang Zhang ◽  
Mei Li Geng ◽  
Bang Fan Liu
Keyword(s):  
Information Age ◽  
Cloud Service ◽  
New Product ◽  
Cloud Services ◽  
Service Improvement ◽  
Service Model ◽  
Cloud Technology ◽  
Healthy Development ◽  
Management Services

Cloud services as a new product of the information age, is to archives service improvement and innovation of great significance and role. By the connotation of cloud services and cloud services archives, and then exploring the application value of cloud services in the archives services. Finally, based on the cloud technology, proposed innovative services of archives management, in order to achieve healthy development of archives management services.

A Model of Competitive Hybrid Granularity Manufacturing Resource and its Unify Cloud Service Modeling

2014 ◽  
Vol 670-671 ◽  
pp. 1556-1561 ◽  
Author(s):  
Xuan Liu ◽  
Wei Tan
Keyword(s):  
Business Process ◽  
Service Discovery ◽  
Manufacturing Industry ◽  
Cloud Service ◽  
Cloud Manufacturing ◽  
Basic Function ◽  
Cloud Services ◽  
Utilization Rate ◽  
Service Model ◽  
Manufacturing Resource

With the application of cloud computing technology in the manufacturing industry, there appear all sorts of the manufacturing cloud services on the network. Basic of manufacturing cloud service is manufacturing resource, and the business process is the business context of the manufacturing resource. In order to improve the utilization rate of cloud services, a model for the hybrid granularity manufacturing resources with strong competitiveness is put forward, including basic information, basic function, business process and quality of service of manufacturing resource, and based on which cloud manufacturing service model is construct. The service discovery experiment is designed based on the manufacturing cloud service model, and the experimental results prove that the cloud service from strong competitive hybrid granularity manufacturing resource has more competitive power and higher utilization.

Manufacturing Cloud Service Model Based on Adaptive Mechanism

2015 ◽  
Vol 740 ◽  
pp. 773-776
Author(s):  
Qiu Yun Zhao ◽  
Le Wei ◽  
Hong Ping Shu
Keyword(s):  
Cloud Service ◽  
Cloud Manufacturing ◽  
Cloud Services ◽  
Service Performance ◽  
Explicit Description ◽  
Adaptive Mechanism ◽  
Service Model ◽  
Operation Algorithm ◽  
Service Behavior ◽  
Adaptive Operation

In order to improve the adaptability of manufacturing cloud services in the dynamical and open cloud manufacturing environment, a manufacturing cloud service model was proposed based on the adaptive mechanism. Using the model, external changes are sensed by the event-driven approach. The explicit description of environment is provided. According to preset policies, adaptive operations, such as adding, deleting, replacing and updating, can be executed when necessary. The service behavior and structure are adjusted by adaptive operations to guarantee the service performance. The adaptive operation algorithm of cloud services was given. Finally, the effectiveness of the model was demonstrated by a real instance.

Delivering Case Management Using a Community-Based Service Model of Drug Intervention

1992 ◽  
Author(s):  
Judith A. Levy ◽  
◽  
Charles P. Gallmeier ◽  
William W. Weddington ◽  
W. Wayne Wiebel
Keyword(s):  
Case Management ◽  
Service Model ◽  
Community Based ◽  
Drug Intervention
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