Grid Network Services and Implications for Network Service Design

A Model-Driven Process Enactment Approach for Network Service Design

SDL 2017: Model-Driven Engineering for Future Internet - Lecture Notes in Computer Science ◽

10.1007/978-3-319-68015-6_7 ◽

2017 ◽

pp. 99-118 ◽

Cited By ~ 5

Author(s):

Sadaf Mustafiz ◽

Navid Nazarzadeoghaz ◽

Guillaume Dupont ◽

Ferhat Khendek ◽

Maria Toeroe

Keyword(s):

Service Design ◽

Network Service ◽

Model Driven ◽

Process Enactment

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Acquiring the Gist of Social Network Service Threads via Comparison with Wikipedia

International Journal of Business Data Communications and Networking ◽

10.4018/jbdcn.2011040102 ◽

2011 ◽

Vol 7 (2) ◽

pp. 17-28

Author(s):

Akiyo Nadamoto ◽

Eiji Aramaki ◽

Takeshi Abekawa ◽

Yohei Murakami

Keyword(s):

Social Network ◽

Network Services ◽

Network Service ◽

Social Network Service ◽

Multiple Users ◽

Social Network Services

Internet-based social network services (SNSs) have grown increasingly popular and are producing a great amount of content. Multiple users freely post their comments in SNS threads, and extracting the gist of these comments can be difficult due to their complicated dialog. In this paper, the authors propose a system that explores this concept of the gist of an SNS thread by comparing it with Wikipedia. The granularity of information in an SNS thread differs from that in Wikipedia articles, which implies that the information in a thread may be related to different articles on Wikipedia. The authors extract target articles on Wikipedia based on its link graph. When an SNS thread is compared with Wikipedia, the focus is on the table of contents (TOC) of the relevant Wikipedia articles. The system uses a proposed coverage degree to compare the comments in a thread with the information in the TOC. If the coverage degree is higher, the Wikipedia paragraph becomes the gist of the thread.

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Competition of Duopoly MVNOs for IoT Applications through Wireless Network Virtualization

Wireless Communications and Mobile Computing ◽

10.1155/2020/8880307 ◽

2020 ◽

Vol 2020 ◽

pp. 1-11

Author(s):

Wanli Zhang ◽

Xianwei Li ◽

Liang Zhao ◽

Xiaoying Yang

Keyword(s):

Radio Frequency ◽

Wireless Network ◽

Network Performance ◽

Stackelberg Game ◽

Network Virtualization ◽

Network Services ◽

Network Service ◽

Iot Applications ◽

Wireless Network Virtualization ◽

Iot Devices

Network performance is of great importance for processing Internet of Things (IoT) applications in the fifth-generation (5G) communication system. With the increasing number of the devices, how network services should be provided with better performances is becoming a pressing issue. The static resource allocation of wireless networks is becoming a bottleneck for the emerging IoT applications. As a potential solution, network virtualization is considered a promising approach to enhancing the network performance and solving the bottleneck issue. In this paper, the problem of wireless network virtualization is investigated where one wireless infrastructure provider (WIP), mobile virtual network operators (MVNOs), and IoT devices coexist. In the system model under consideration, with the help of a software-defined network (SDN) controller, the WIP can divide and reconfigure its radio frequency bands to radio frequency slices. Then, two MVNOs, MVNO1 and MVNO2, can lease these frequency slices from the WIP and then provide IoT network services to IoT users under competition. We apply a two-stage Stackelberg game to investigate and analyze the relationship between the two MVNOs and IoT users, where MVNO1 and MVNO2 firstly try to maximize their profits by setting the optimal network service prices. Then, IoT users make decisions on which network service they should select according to the performances and prices of network services. Two competition cases between MVNO1 and MVNO2 are considered, namely, Stackelberg game (SG) where MVNO1 is the leader whose price of network service is set firstly and MVNO2 is the follower whose network service price is set later and noncooperative strategic game (NSG) under which the service prices of MVNO1 and MVNO2 are simultaneously set. Each IoT user decides whether and which MVNO to select on the basis of the network service prices and qualities. The numerical results are provided to show the effectiveness of our game model and the proposed solution method.

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