A Collaboration Model

2016 ◽  
Vol 12 (1) ◽  
pp. 8-26
Author(s):  
Meriem Kermani ◽  
Mahmoud Boufaida
Keyword(s):  
Service Selection ◽  
Selection Mechanism ◽  
Considerable Time ◽  
Emergency Case ◽  
Data Services ◽  
Proposed Model ◽  
Intermediary Role ◽  
Collaborative Context ◽  
New Situation ◽  
Dynamic Formation

The dynamic formation of a consortium, combining the most adequate set of competencies and resources to satisfy the needs of each new situation sounds indeed as a very appealing approach. However, reaching a rapid ‘alignment' among a diverse group of heterogeneous entities is not simple and may require a considerable time to achieve. In this collaborative context, the integration of industrial partners depends strongly on the ability to use a collaborative model to interact efficiently. In this paper, the authors propose a model to tackle this point according to the fact that the partners of the collaboration may change. They propose the development of an approach to achieve a dynamic inter-company collaboration. In this cooperation mode, many companies share their resources, data services and processes. These companies have their own mechanisms and applications, which are heterogeneous. First, the authors define a framework to establish this kind of collaboration. The purpose of this solution is to keep the company architecture and to ask the mediator for playing an intermediary role between companies. Then, the authors propose a service selection mechanism based on the agent technology and on the decision tree paradigm. They present an offline composition service process. Finally, they illustrate their solution with an example of treating an emergency case to show the feasibility of the proposed model.

Enhanced Service Discovery Model for Wireless Mesh Networks

2018 ◽  
Vol 22 (1) ◽  
pp. 44-53 ◽  
Author(s):  
Lungisani Ndlovu ◽  
◽  
Okuthe P. Kogeda ◽  
Manoj Lall
Keyword(s):  
Wireless Mesh Networks ◽  
Service Discovery ◽  
Mesh Networks ◽  
Service Selection ◽  
Cost Effective ◽  
Ant Colony ◽  
Area Network ◽  
Wireless Mesh ◽  
Proposed Model ◽  
Link Congestion

Wireless mesh networks (WMNs) are the only cost-effective networks that support seamless connectivity, wide area network (WAN) coverage, and mobility features. However, the rapid increase in the number of users on these networks has brought an upsurge in competition for available resources and services. Consequently, factors such as link congestion, data collisions, link interferences, etc. are likely to occur during service discovery on these networks. This further degrades their quality of service (QoS). Therefore, the quick and timely discovery of these services becomes an essential parameter in optimizing the performance of service discovery on WMNs. In this paper, we present the design and implementation of an enhanced service discovery model that solves the performance bottleneck incurred by service discovery on WMNs. The proposed model integrates the particle swarm optimization (PSO) and ant colony optimization (ACO) algorithms to improve QoS. We use the PSO algorithm to assign different priorities to services on the network. On the other hand, we use the ACO algorithm to effectively establish the most cost-effective path whenever each transmitter has to be searched to identify whether it possesses the requested service(s). Furthermore, we design and implement the link congestion reduction (LCR) algorithm to define the number of service receivers to be granted access to services simultaneously. We simulate, test, and evaluate the proposed model in Network Simulator 2 (NS2), against ant colony-based multi constraints, QoS-aware service selection (QSS), and FLEXIble Mesh Service Discovery (FLEXI-MSD) models. The results show an average service discovery throughput of 80%, service availability of 96%, service discovery delay of 1.8 s, and success probability of service selection of 89%.

scholarly journals Service selection in a marketplace: a multi-perspective solution

2021 ◽  
Author(s):  
Dipak Pudasaini
Keyword(s):  
Web Service ◽  
Research Work ◽  
Service Selection ◽  
User Requirements ◽  
Objective Functions ◽  
Web Service Selection ◽  
Optimal Score ◽  
Proposed Model ◽  
Degree Of Satisfaction ◽  
High Degree

Most of the current research work on web service selection only considered the selection problem from the perspective of one party – service consumers. A service marketplace serves many parties including service consumers and providers. Thus, it is important to consider multiple parties. In this thesis, we propose a service selection model considering the benefits of multiple parties: consumers, providers and the marketplace. The model ranks services based on not only how much these services satisfy the user requirements but also how much the requests can be distributed to different providers and the revenue gain in the marketplace. We design different objective functions, then combine into a QoS-Plus-PF objective function. The results show that proposed model could achieve a high degree of satisfaction of user requests (i.e., 0.61% to 5.26% worse than the optimal score), and meanwhile have the capability of promoting more diversified set of services (i.e., 48.95% promotion percentage).

Research on Context-Awareness Mobile SNS Service Selection Mechanism

2010 ◽  
Vol 33 (11) ◽  
pp. 2126-2135 ◽  
Author(s):  
Yu-Xiang WANG ◽  
Xiu-Quan QIAO ◽  
Xiao-Feng LI ◽  
Luo-Ming MENG
Keyword(s):  
Context Awareness ◽  
Service Selection ◽  
Selection Mechanism ◽  
Mobile Sns

The role of developers’ social relationships in improving service selection

2016 ◽  
Vol 12 (4) ◽  
pp. 477-503 ◽  
Author(s):  
Devis Bianchini ◽  
Valeria De Antonellis ◽  
Michele Melchiori
Keyword(s):  
Social Network ◽  
Social Relationships ◽  
Web Application ◽  
Selection Process ◽  
Service Selection ◽  
Third Party ◽  
Data Service ◽  
Application Development ◽  
Content Type ◽  
Data Services

Purpose Modern Enterprise Web Application development can exploit third-party software components, both internal and external to the enterprise, that provide access to huge and valuable data sets, tested by millions of users and often available as Web application programming interfaces (APIs). In this context, the developers have to select the right data services and might rely, to this purpose, on advanced techniques, based on functional and non-functional data service descriptive features. This paper focuses on this selection task where data service selection may be difficult because the developer has no control on services, and source reputation could be only partially known. Design/methodology/approach The proposed framework and methodology are apt to provide advanced search and ranking techniques by considering: lightweight data service descriptions, in terms of (semantic) tags and technical aspects; previously developed aggregations of data services, to use in the selection process of a service the past experiences with the services when used in similar applications; social relationships between developers (social network) and their credibility evaluations. This paper also discusses some experimental results regarding the plan to expand other experiments to check how developers feel using the approach. Findings In this paper, a data service selection framework that extends and specializes an existing one for Web APIs selection is presented. The revised multi-layered model for data services is discussed and proper metrics relying on it, meant for supporting the selection of data services in a context of Web application design, are introduced. Model and metrics take into account the network of social relationships between developers, to exploit them for estimating the importance that a developer assigns to other developers’ experience. Originality/value This research, with respect to the state of the art, focuses attention on developers’ social networks in an enterprise context, integrating the developers’ credibility assessment and implementing the social network-based data service selection on top of a rich framework based on a multi-perspective model for data services.

scholarly journals Virtualization Based Efficient Service Matching and Discovery in Internet of Things

Electronics ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 1007
Author(s):  
Zulfiqar Ali Khan ◽  
Israr Ullah ◽  
Muhammad Ibrahim ◽  
Muhammad Fayaz ◽  
Ayman Aljarbouh ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Service Discovery ◽  
Processing Time ◽  
Service Selection ◽  
Geographic Area ◽  
Residual Energy ◽  
Service Matching ◽  
Domain Specific ◽  
Proposed Model ◽  
Iot Devices

Internet of Things (IoT) is getting more popular day by day, which triggers its adoption for solving domain specific problems. Cities are becoming smart by gathering the context knowledge through sensors and controlling specific parameters through actuators. Dynamically discovering and integrating different data streams from different sensors is a major challenge these days. In this paper, a service matchmaking algorithm is presented for service discovery utilizing IoT devices and services in a particular geographic area. It helps us to identify services based on a variety of parameters (location, query size and processing time, etc.). Customization of service selection and discovery are also explored. The conceptual framework is provided for the proposed model along with a matchmaking algorithm based on IoT devices virtualization. The simulation results elaborate the increased complexity of processing time with respect to the increasing pool of available services. The average processing time varies as the number of conditions are multiplied. Query size and complexity increases with additional number of filters and conditions which results in the reduction of the number of matching services. Moreover, upon decreasing the radius of geographic search area, the number of candidate services decreases for service matching algorithm. This is based on the assumption that IoT devices and services are evenly distributed in a given geographic area. Similarly, the remaining energy of IoT devices is also assumed to be uniformly distributed and, therefore, if we are interested in IoT devices or services with more residual energy, then a limited number of IoT devices or services will fulfill this criterion.

RESEARCH ON TRUST PREDICTION MODEL FOR SELECTING WEB SERVICES BASED ON MULTIPLE DECISION FACTORS

2011 ◽  
Vol 21 (08) ◽  
pp. 1075-1096 ◽  
Author(s):  
XIAOYONG LI ◽  
FENG ZHOU ◽  
XUDONG YANG
Keyword(s):  
Web Services ◽  
Prediction Model ◽  
Service Providers ◽  
Service Selection ◽  
Weighted Averaging ◽  
Widespread Application ◽  
Trust Value ◽  
Decision Factors ◽  
Trust Prediction ◽  
Proposed Model

With the widespread application of web services, trust-based service selection has become a significant requirement from a requester's point of view, and trust prediction mechanism has become a determining factor for any given service's success. But the dynamic nature of trust creates the biggest challenge in measuring a trust value and make trust predictions. In this paper, a new trust prediction model is proposed based on multiple decision factors. Firstly, the proposed model integrates multiple complementary decision factors to reflect complexity and uncertainty of trust relationship. In addition to including traditional experience-based trust factor and feedback-based trust factor, this model innovatively integrates QoS-based trust factor into global trust evaluation, which makes the model have a better rationality and a higher practicability than the existing approaches. Meanwhile, the proposed model applies the theory of OWA (Ordered Weighted Averaging) operator to assign the classification weights to these decision factors, which makes the model exhibit a strong adaptability in handling various dynamic behaviors of service providers. Simulation results show that, compared to the existing approaches, the proposed model has remarkable enhancements in the accuracy of trust prediction.

Banking for the poor: the role of Islamic banking in microfinance initiatives

Humanomics ◽  
2008 ◽  
Vol 24 (1) ◽  
pp. 49-66 ◽  
Author(s):  
Asyraf Wajdi Dusuki
Keyword(s):  
Islamic Banking ◽  
Financial Risks ◽  
Islamic Banks ◽  
Content Type ◽  
Special Purpose Vehicle ◽  
The Poor ◽  
Proposed Model ◽  
Intermediary Role ◽  
Institutional Viability

PurposeThe main purpose of this paper is to review the microfinance scheme and discuss how Islamic banks can participate in such an endeavour without actually compromising the issue of institutional viability and sustainability.Design/methodology/approachThe paper is based on an extensive review of microfinance with the objective of building a case for Islamic banking to participate in a microfinance initiative.FindingsAs reviewed in this paper, microfinance requires innovative approaches beyond the traditional financial intermediary role. Among others, building human capacity through social intermediation and designing group‐based lending programmes are proven to be among the effective tools to reduce transaction costs and lower exposure to numerous financial risks in relation to providing credit to the rural poor. This paper also suggests the use of a special purpose vehicle (SPV) as one of the possible alternatives for Islamic banks channelling funds to the poor.Research limitations/implicationsIslamic banks may benefit from the spectrum of Shariah‐compliant sources of funds and offer a wide array of financing instruments catering for different needs and demands of their clients. Furthermore, the use of a bankruptcy‐remote entity like SPV can protect Islamic banks from any adverse effect of microfinance activities.Originality/valueThe analysis here is valuable in drawing the attention of Islamic banking practitioners to the fact that they can actually practise microfinance without undermining their institutional viability, competitiveness and sustainability. This is evident from the proposed model to incorporate SPV into their microfinance initiatives.

scholarly journals Service selection in a marketplace: a multi-perspective solution

2021 ◽  
Author(s):  
Dipak Pudasaini
Keyword(s):  
Web Service ◽  
Research Work ◽  
Service Selection ◽  
User Requirements ◽  
Objective Functions ◽  
Web Service Selection ◽  
Optimal Score ◽  
Proposed Model ◽  
Degree Of Satisfaction ◽  
High Degree

Most of the current research work on web service selection only considered the selection problem from the perspective of one party – service consumers. A service marketplace serves many parties including service consumers and providers. Thus, it is important to consider multiple parties. In this thesis, we propose a service selection model considering the benefits of multiple parties: consumers, providers and the marketplace. The model ranks services based on not only how much these services satisfy the user requirements but also how much the requests can be distributed to different providers and the revenue gain in the marketplace. We design different objective functions, then combine into a QoS-Plus-PF objective function. The results show that proposed model could achieve a high degree of satisfaction of user requests (i.e., 0.61% to 5.26% worse than the optimal score), and meanwhile have the capability of promoting more diversified set of services (i.e., 48.95% promotion percentage).

Sign in / Sign up

Export Citation Format

Share Document