Service Capability Optimization Algorithm for Power Communication Network Service Providers in Competitive Game Environment

2021 ◽  
pp. 42-51
Author(s):  
Zhi Li ◽  
Kai Duan ◽  
Tingting Xu
Keyword(s):  
Communication Network ◽  
Optimization Algorithm ◽  
Service Providers ◽  
Network Service ◽  
Competitive Game ◽  
Service Capability ◽  
Game Environment

Evaluating Situation Assessment in Distributed Network Electricity Control

2020 ◽  
Vol 64 (1) ◽  
pp. 263-267
Author(s):  
Mark W.Wiggins ◽  
Jaime Auton ◽  
Daniel Sturman
Keyword(s):  
Service Providers ◽  
Network Control ◽  
Distributed Network ◽  
Network Service ◽  
Situation Assessment ◽  
Network Service Provider ◽  
Remedial Strategies ◽  
Control Operators ◽  
Organisational Level ◽  
Three Phases

Situation assessment is a critical skill amongst electricity distribution controllers but can be difficult to assess in practice. In the present research, we adapted a psychometric approach based on the principle that expert situation assessment engages cue-based associations from memory. Using consortium norming, we acquired performance data from 320 network control operators for five network control-related tasks that comprised the electricity network service provider edition of the EXPERT Intensive Skills Evaluation (EXPERTise 2.0) software. Operators were distributed across 11 Distributed Network Service Providers (DNSP), with data collected over three phases. Data were examined across the three phases of data collection and suggest that DNSPs can monitor the situation assessment of network controllers at an individual and at an organisational level, affording the opportunity to identify changes in performance and implement remedial strategies as appropriate.

Prioritizing the influencing factors of utaut-2 model toward mobile network service providers

2021 ◽  
pp. 178359172110553
Author(s):  
Ishani Patharia ◽  
Anjana Pandey ◽  
Sanjay Gupta
Keyword(s):  
Technology Acceptance ◽  
Communication Networks ◽  
Service Providers ◽  
User Behavior ◽  
Mobile Network ◽  
Study Data ◽  
Jel Classification ◽  
Network Service ◽  
Factors Affecting ◽  
Use Of Technology

Technological developments have a major impact on user behavior. The rapidly evolving communication system and technology have provided numerous choices for people. The ever-shifting changes in the generation of communication networks have posed challenges for mobile network service providers to attract and retain customers. This study aims to prioritize the determinants of the adoption of mobile network service providers using the unified theory of acceptance and use of technology (UTAUT-2). In this study, data were collected from 660 mobile phone users in Haryana, India. A fuzzy analytical hierarchy process (F-AHP) was applied to arrange the priority or rank the factors based on the significance of the factors in explaining the adoption of mobile network service providers. Results of the study reveal that efforts expectancy is the highest-ranked and prioritized factor for the adoption of mobile network service providers followed by performance expectancy and facilitating conditions. However, social influence emerged as the least important factor. The present study provides theoretical implications for future researchers by synthesizing and prioritizing the important factors affecting technology acceptance. The practical implications offer a clearer insight to marketers for developing focused pragmatic strategies to retain customer loyalty. The study has considered only UTAUT-2 model constructs and used the F-AHP technique. Other factors may be considered in future studies. Other priority analysis techniques can also be used such as ISM and MICMAC analysis for further study. The research has been conducted in Haryana, India, and therefore, it needs to be tested in other areas/countries for generalizability. JEL Classification: O1, O2, O4

Distributed and Adaptive Service Discovery Using Preference

2010 ◽  
pp. 396-424
Author(s):  
Ryota Egashira ◽  
Akihiro Enomoto ◽  
Tatsuya Suda
Keyword(s):  
Service Discovery ◽  
Service Providers ◽  
End Users ◽  
Research Community ◽  
End User ◽  
Network Service ◽  
Preference Information ◽  
Extensive Simulation ◽  
Service Oriented Computing ◽  
Service Oriented

In Service-Oriented Computing, service providers publish their services by deploying service components which implement those services into a network. Since such services are distributed around the network, Service-Oriented Computing requires the functionality to discover the services that meet certain criteria specified by an end user. In order to overcome the scalability issue that the current centralized discovery mechanism inherently has, distributed discovery mechanisms that the P2P research community has developed may be promising alternatives. This chapter outlines existing distributed mechanisms and proposes a novel discovery mechanism that utilizes end users’ preferences. The proposed mechanism allows end users to return their feedback that describes the degree of the preference for discovered services. The returned preference information is stored at nodes and utilized to decide where to forward subsequent queries. The extensive simulation demonstrates that the proposed mechanism meets key requirements such as selectivity, efficiency and adaptability.

Network Service Availability and Performance

2002 ◽  
pp. 15-30
Author(s):  
Mike Fisk
Keyword(s):  
Service Providers ◽  
Background Information ◽  
The Internet ◽  
Business And Society ◽  
Network Service ◽  
Internet Users ◽  
Key Factor ◽  
And Performance ◽  
Term Performance ◽  
Network Administrators

As computer networks, specifically the Internet, become more and more integral to business and society, the performance and availability of services on the Internet become more critical. It is now a common need to provide a reliable network service to millions of Internet users and customers. The performance of these services is commonly a key factor in their success. Web portals and popular sites build relationships with customers based in part on their speed and availability. Even services internal to an enterprise frequently have serious consequences if there is a loss of availability. This chapter discusses how advanced, multilayer switches can be used to increase the performance of network services. For this discussion, the term “performance” refers to availability, latency, and throughput, since all of these factors affect a user’s impression of a site’s performance. This chapter is intended for network service providers who must scale their services, network administrators who need to apply policies to their networks, and developers of switches who need to understand what the utility and requirements for these switches are. It is assumed that the reader has a working familiarity with networking principles, but substantial background information is also provided.

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