scholarly journals Task Scheduling for Edge Computing with Agile VNFs On-Demand Service Model toward 5G and Beyond

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Chia-Wei Tseng ◽  
Fan-Hsun Tseng ◽  
Yao-Tsung Yang ◽  
Chien-Chang Liu ◽  
Li-Der Chou
Keyword(s):  
Rapid Development ◽  
Cloud Service ◽  
Edge Computing ◽  
Local Network ◽  
Service Model ◽  
Local Data ◽  
Network Bandwidth ◽  
On Demand ◽  
Network Connection ◽  
Demand Service

The demand for satisfying service requests, effectively allocating computing resources, and providing service on-demand application continuously increases along with the rapid development of the Internet. Edge computing is used to satisfy the low latency, network connection, and local data processing requirements and to alleviate the workload in the cloud. This paper proposes a gateway-based edge computing service model to reduce the latency of data transmission and the network bandwidth from and to the cloud. An on-demand computing resource allocation can be achieved by adjusting the task schedule of the edge gateway via the lightweight virtualization technology, Docker. The edge gateway can also process the service requests in the local network. The proposed edge computing service model not only eliminates the computation burden of the traditional cloud service model but also improves the operation efficiency of the edge computing nodes. This model can also be used for various innovation applications in the cloud-edge computing environment for 5G and beyond.

The Construction and Research of Library Service Based on the Cloud Service

2014 ◽  
Vol 687-691 ◽  
pp. 1704-1707
Author(s):  
Jin Yu Lv
Keyword(s):  
Cloud Computing ◽  
Digital Library ◽  
Rapid Development ◽  
Cloud Service ◽  
Basic Structure ◽  
Cloud Platform ◽  
Service Model ◽  
Library Service ◽  
Library Automation ◽  
Model Based

Cloud computing is still in the stage of rapid development. So in this article the origin and concept of cloud computing will be summarized in detail, the character, basic structure of the cloud computing and its application and impact in each field will be analyzed strongly. In the cloud computing environment, the construction and service of digital library has changed greatly. The cloud storage based on digital library,the digital library infrastructure integration and construction based on cloud service, and even the library automation based on cloud computing, all of these need to research deeply in library field in the cloud computing. Besides,the changes of digital library service model based on cloud computing are also the one of the important content. In this article three kinds of service model is proposed:personalized cloud platform service model based on the needs of the users, user active push-service model and sharing cloud platform service model. Structure model is designed respectively, the working process and model of service model is explained, and their application scope is analyzed in this article.

Cloud Service Model Based on University English Reading Database

2013 ◽  
Vol 756-759 ◽  
pp. 872-876
Author(s):  
Zu Chun Dun
Keyword(s):  
Cloud Computing ◽  
Rapid Development ◽  
Implementation Strategies ◽  
Cloud Service ◽  
Service Model ◽  
English Reading ◽  
Personalized Services ◽  
Information Technology Services ◽  
Technology Services ◽  
Audio Video

The Rapid development of cloud computing impels the new situation of information technology services in foreign language teaching in universities, and brings more quality requirements to subject librarians in universities. The teaching database of English reading in universities combines image, audio, video, text, animation and interactive contents for teaching to create a fresh, vivid, interesting English learning environment. The paper proposes the implementation strategies of university English reading teaching datebase construction and the cloud service model according to the concept of cloud computing; It thinks that the subject librarians should supply personalized services for the readers, at the same time, they should also strive to be cloud librarians.

An analysis of QoS ranking prediction framework techniques

2019 ◽  
Vol 33 (01) ◽  
pp. 1850420 ◽  
Author(s):  
Harsimran Kaur ◽  
Anurag Rai ◽  
Sarvjit Singh Bhatia
Keyword(s):  
Real World ◽  
Cloud Service ◽  
Cloud Services ◽  
Cloud Service Provider ◽  
The Real ◽  
Functional Activities ◽  
On Demand ◽  
The Right ◽  
Demand Service

In the real world, building the high quality cloud computing framework is the challenge for the researcher in the present scenario where on demand service is required. The services which are performing the non-functional activities are referred to as Quality-of Service (QoS). The experience of real-world usage services are generally required to obtain the QoS. Many organizations offer various cloud services, such as Amazon, HP and IBM, to the customers. No technique is available to measure the real-world usage and estimate the ranking of the cloud services. From the customer side, it is a very tough job to choose the right cloud service provider (SP), which fulfills all the requirements of the customers. To avoid the confusion to select the right CSP, this paper proposes QoS ranking prediction methods such as Cloud Rank1, Cloud Rank2 and Cloud Rank3. Various experiments are done on the real-world QoS data by using EC2 services of Amazon and providing healthy results and solutions.

Cloud based Video-on-Demand service model ensuring quality of service and scalability

2016 ◽  
Vol 70 ◽  
pp. 102-113 ◽  
Author(s):  
Carlos Barba-Jimenez ◽  
Raul Ramirez-Velarde ◽  
Andrei Tchernykh ◽  
Ramón Rodríguez-Dagnino ◽  
Juan Nolazco-Flores ◽  
...  
Keyword(s):  
Quality Of Service ◽  
Video On Demand ◽  
Service Model ◽  
On Demand ◽  
Demand Service

scholarly journals SEMANTIC CONTEXT-BASED ON-DEMAND SERVICE MODEL FOR LAND COVER CHANGE DETECTION

2019 ◽  
Vol XLII-4/W20 ◽  
pp. 97-100
Author(s):  
H. Q. Xing ◽  
D. Y. Hou
Keyword(s):  
Web Services ◽  
Land Cover ◽  
Land Cover Change ◽  
Service Composition ◽  
Social Benefit ◽  
Context Information ◽  
Service Model ◽  
Service Description ◽  
On Demand ◽  
Demand Service

Abstract. Land cover change (LCC) detection is widely used in many social-benefit areas, such as land cover updating, sustainable development and geographical situation monitoring. With the development of Web Services and cloud computing, a number of remote sensed algorithms and models have been published as web services. An on-demand service is urgent to be generated by compositing a sequence of atomic services, according to different situations. Context information plays an important role in automatic service composition. Traditional context information models mainly focus on service only, and ignore the relationships among users and services. To address this problem, we introduce the service context and user context into the context information. OWL-SC and OWL-UC are then proposed by extending the traditional service description model (i.e., OWL-S). Finally, a context-aware on-demand service model for LCC detection is built to realize service composition and optimization.

Analysis Method of Dynamic Extensible Service Model Based on Petri-Net

2013 ◽  
Vol 765-767 ◽  
pp. 1618-1621
Author(s):  
Can Zhang ◽  
Jing Jiang ◽  
Cheng Fan ◽  
Jie Sun ◽  
Rui Min Yang
Keyword(s):  
Petri Net ◽  
Service Composition ◽  
Dynamic Change ◽  
Network Environment ◽  
Analysis Method ◽  
Service Model ◽  
On Demand ◽  
Model Based ◽  
Demand Service

It is a big challenge to realize the dynamic change of the network environment and users demands. A dynamic application customization and extensible service composition model is proposed in this paper. In order to guarantee the rationality of the service composition, the composition model of on-demand service that based on Petri net is proposed. Then the model is analyzed to validate whether the service composition can achieve the desired target. Finally, the result shows that the model can guarantee the correctness of extensible service, validate the rationality and effectiveness of the method.

scholarly journals Assessing Determinants of Continuance Intention towards Personal Cloud Services: Extending UTAUT2 with Technology Readiness

Symmetry ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 467
Author(s):  
Shih-Chih Chen ◽  
Shing-Han Li ◽  
Shih-Chi Liu ◽  
David C. Yen ◽  
Athapol Ruangkanjanases
Keyword(s):  
Rapid Development ◽  
Cloud Service ◽  
Individual Characteristics ◽  
Partial Least Square ◽  
Cloud Services ◽  
Least Square ◽  
Information And Communications Technology ◽  
Technology Readiness ◽  
Continuance Intention ◽  
Systems Research

In addition to the rapid development of global information and communications technology (ICT) and the Internet, recent rapid growth in cloud computing technology represents another important trend. Individual continuance intention towards information technology is a critical area in which information systems research can be performed. This study aims to develop an integrated model designed to explain and predict an individual’s continuance intention towards personal cloud services based on the concepts of technology readiness (TR) and the unified theory of acceptance and use of technology 2 (UTAUT2), moderated by gender, age, and experience of personal cloud services. The key results of the partial least square test largely support the proposed model’s validity and the significant impact of effort expectancy, social influence, hedonic motivation, price value, habit, and technology readiness on continuance intention towards personal cloud services. In addition to providing symmetric theoretical support with the proposed model and transforming the individual characteristics of TR into UTAUT2, this study could be used to enhance and analyze users’ adoption of personal cloud services and also increase the symmetry of the model’s explanation and prediction. The findings from this research contribute to providing practical implications and academic resources as well as improving our understanding of personal cloud service applications.

scholarly journals On-demand Service Deployment Strategies for Fog-as-a-Service Scenarios

2021 ◽  
pp. 1-1
Author(s):  
Arash Bozorgchenani ◽  
Daniele Tarchi ◽  
Walter Cerroni
Keyword(s):  
On Demand ◽  
Service Deployment ◽  
Demand Service

scholarly journals Software-Defined Optimal Computation Task Scheduling in Vehicular Edge Networking

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 955
Author(s):  
Zhiyuan Li ◽  
Ershuai Peng
Keyword(s):  
Task Scheduling ◽  
Scheduling Algorithm ◽  
Dynamic Network ◽  
Parameter Tuning ◽  
Global Optimum ◽  
Research Field ◽  
Edge Computing ◽  
Transmission Delay ◽  
Smart Vehicles ◽  
Network Bandwidth

With the development of smart vehicles and various vehicular applications, Vehicular Edge Computing (VEC) paradigm has attracted from academic and industry. Compared with the cloud computing platform, VEC has several new features, such as the higher network bandwidth and the lower transmission delay. Recently, vehicular computation-intensive task offloading has become a new research field for the vehicular edge computing networks. However, dynamic network topology and the bursty computation tasks offloading, which causes to the computation load unbalancing for the VEC networking. To solve this issue, this paper proposed an optimal control-based computing task scheduling algorithm. Then, we introduce software defined networking/OpenFlow framework to build a software-defined vehicular edge networking structure. The proposed algorithm can obtain global optimum results and achieve the load-balancing by the virtue of the global load status information. Besides, the proposed algorithm has strong adaptiveness in dynamic network environments by automatic parameter tuning. Experimental results show that the proposed algorithm can effectively improve the utilization of computation resources and meet the requirements of computation and transmission delay for various vehicular tasks.

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