Applying Trust Mechanisms in an agent-based P2P Network of Service Providers and Requestors

Author(s):  
E. Tamani ◽  
P. Evripidou
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Mohamed O. Khozium ◽  
Norah S. Farooqi

Modern companies wish to utilize business intelligence (BI) to track and analyze their courses of action. Many BI applications serve this purpose at many levels, starting from documenting and charting and ending with analytics and decision support systems, which are considered a sufficient complement to consultancy and management resources. However, the contemporaneous BI software is missing two functionalities. First, although nearly all applications of the same genre use almost identical concepts, there is no unified application programming interface (API) to enable interaction. The second problem is a consequence of the first issue. Without a unified API, BI applications cannot be integrated, eliminating any possibility of establishing universal platforms for BI distributed services. Lacking these two functionalities makes developers reinvent the wheel with each new implementation. To solve these problems, we propose a platform running a multiagent business intelligence system. This system empowers the available BI resources to serve a larger segment of the BI end-user applications cooperatively. To build this system, we propose a unified model that enables distributive agent-based tasking and cooperative interaction. This allows researchers to cooperate in spreading the multiagent platform’s functionality and helps them proceed toward more detailed analysis considering agents’ construction. Moreover, it will enable BI service providers to cooperatively implement new applications and develop better solutions while maintaining a functional end-user program.


2019 ◽  
Vol 53 (3) ◽  
pp. 318-332
Author(s):  
Sandhya N. ◽  
Philip Samuel ◽  
Mariamma Chacko

Purpose Telecommunication has a decisive role in the development of technology in the current era. The number of mobile users with multiple SIM cards is increasing every second. Hence, telecommunication is a significant area in which big data technologies are needed. Competition among the telecommunication companies is high due to customer churn. Customer retention in telecom companies is one of the major problems. The paper aims to discuss this issue. Design/methodology/approach The authors recommend an Intersection-Randomized Algorithm (IRA) using MapReduce functions to avoid data duplication in the mobile user call data of telecommunication service providers. The authors use the agent-based model (ABM) to predict the complex mobile user behaviour to prevent customer churn with a particular telecommunication service provider. Findings The agent-based model increases the prediction accuracy due to the dynamic nature of agents. ABM suggests rules based on mobile user variable features using multiple agents. Research limitations/implications The authors have not considered the microscopic behaviour of the customer churn based on complex user behaviour. Practical implications This paper shows the effectiveness of the IRA along with the agent-based model to predict the mobile user churn behaviour. The advantage of this proposed model is as follows: the user churn prediction system is straightforward, cost-effective, flexible and distributed with good business profit. Originality/value This paper shows the customer churn prediction of complex human behaviour in an effective and flexible manner in a distributed environment using Intersection-Randomized MapReduce Algorithm using agent-based model.


2014 ◽  
Vol 114 (7) ◽  
pp. 1036-1049 ◽  
Author(s):  
Sang-Gun Lee ◽  
Silvana Trimi ◽  
Chang-Gyu Yang

Purpose – The purpose of this paper is to investigate how ICT service providers’ strategies affect customer migration. Design/methodology/approach – Using a simulation approach and the agent-based model, this research explores how an incremental technology affects customer migration and changes the market structure. Findings – The authors found that a strategy of disruptive technology innovation not only helps a follower company increase its market share, but it also completely disrupts the market. Originality/value – This study investigates customer migration patterns in the saturated mobile telecommunication market based on service providers’ strategies.


2015 ◽  
Vol 719-720 ◽  
pp. 900-906 ◽  
Author(s):  
Yun Chang Liu ◽  
Chun Lin Li

Hybrid clouds integrate different cloud solutions. Its inherent complexity and short of standard urge for a careful analysis, systematizing and understanding of monitoring. In this context, this paper provides a deep insight into hybrid cloud monitoring. It proposes a layered monitoring model for hybrid clouds, identifying the multiple layers of monitoring, focusing on physical infrastructure layer, virtual infrastructure layer, network, application/service layer, while combining the perspectives of service providers and clients. This process involves the identification of relevant parameters and metrics for each layer. Due to its flexibiliity and intelligence, using Agent technology, an agent-based monitoring architecture is presented. It enables to eliminate the complexity among different cloud platforms.This study contributes to achieve a clearer and more efficient approach to hybrid cloud monitoring.


Author(s):  
Vedran Podobnik ◽  
Krunoslav Trzec ◽  
Gordan Jezic

In a global multi-service and multi-provider market, Internet Service Providers (ISPs) will increasingly need to base their operation on new consumer-centric business models. In this article, the authors present an agent-based framework for the Business-to-Consumer (B2C) electronic market, comprising User Agents, Broker Agents and Provider Agents, which enable Internet users to select an ISP in an automated manner.


2009 ◽  
Vol 42 (4) ◽  
pp. 1310-1315
Author(s):  
Orlando Borgia ◽  
Filippo De Carlo ◽  
Mario Rapaccini ◽  
Mario Tucci

2021 ◽  
pp. 016555152110103
Author(s):  
Abdel Naser Pouamoun ◽  
İlker Kocabaş

With the increasingly huge amount of data located in various databases and the need for users to access them, distributed information retrieval (DIR) has been at the core of the preoccupations of a number of researchers. Indeed, numerous DIR systems and architectures have been proposed including the broker-based architecture. Moreover, providing DIR with more flexibility and adaptability has led researchers thinking to build DIR with software agents. Thus, this research proposes a design and an implementation of a novel system based on the broker-based architecture and the peer-to-peer (P2P) network called broker-based P2P network. The proposed architecture is implemented with a multi-agent system (MAS) where the main agent playing the role of the broker, receives query from a peer agent and forwards them to other peer agents each with their index and resources. Upon completing retrieval process at each peer agent, results are directly sent to the peer agent that initiated the query without using the broker agent. Java Agent DEvelopment framework (JADE) is used to implement the agents and, for experiments, TERRIER (TERabyte RetRIEveR) is extended and used as the search engine to retrieve the Text Retrieval Conference (TREC) collections dataset notably TREC-6. The peer agent that originated the query progressively collects results coming from other peer agents, normalises and merges them and then proceeds with re-ranking. For normalisation, MinMax and Sum that are unsupervised normalisation methods are used.


2013 ◽  
Vol 321-324 ◽  
pp. 2339-2342
Author(s):  
Sa Meng ◽  
Yan Ping Xiang ◽  
Sheng Ji Yu

The challenge of multi performance optimization has been extensively addressed in the literature based on deterministic parameters. Since resources in Grid Computing platforms are geographically separated and heterogeneous, it is rather difficult to apply a uniform distribution algorithm for achieving various optimization goals. Based on the analysis of grid service performance measures, this paper proposes an approach for optimal network resource distribution which is aimed to satisfy both the users and the service providers requirements. Illustrative examples are presented.


Author(s):  
Md. Salman Shamil ◽  
Farhanaz Farheen ◽  
Nabil Ibtehaz ◽  
Irtesam Mahmud Khan ◽  
M. Sohel Rahman

AbstractThe Coronavirus disease 2019 (COVID-19) has resulted in an ongoing pandemic worldwide. Countries have adopted Non-pharmaceutical Interventions (NPI) to slow down the spread. This study proposes an Agent Based Model that simulates the spread of COVID-19 among the inhabitants of a city. The Agent Based Model can be accommodated for any location by integrating parameters specific to the city. The simulation gives the number of daily confirmed cases. Considering each person as an agent susceptible to COVID-19, the model causes infected individuals to transmit the disease via various actions performed every hour. The model is validated by comparing the simulation to the real data of Ford county, Kansas, USA. Different interventions including contact tracing are applied on a scaled down version of New York city, USA and the parameters that lead to a controlled epidemic are determined. Our experiments suggest that contact tracing via smartphones with more than 60% of the population owning a smartphone combined with a city-wide lock-down results in the effective reproduction number (Rt) to fall below 1 within three weeks of intervention. In the case of 75% or more smartphone users, new infections are eliminated and the spread is contained within three months of intervention. Contact tracing accompanied with early lock-down can suppress the epidemic growth of COVID-19 completely with sufficient smartphone owners. In places where it is difficult to ensure a high percentage of smartphone ownership, tracing only emergency service providers during a lock-down can go a long way to contain the spread. No particular funding was available for this project.


Author(s):  
T. Leary

Mobile users desire customized bundles of services that need to be dynamically created from the service providers. However, services are unique and since unused services do not generate revenues they present a lost ‘economic rent’ for organizations that are not part of the network of service providers and, as a result, not a part of the customised bundle of services. The dynamic discovery of a bundle of individual services from such a network that meets the unique needs and constraints of the mobile user requires intelligent agent technology. Such agent technology would match personal needs of the user with the available services in a cost-efficient manner. This chapter provides a mechanism to create dynamic service bundles from ad-hoc user requirements using intelligent agents. The authors apply this technique to a mobile commerce environment and illustrate the composition of user-specific service “bundles” by intelligent agents that represent the interests of the m-commerce user. Such agent-based architectures provide users customized solution ‘bundles’ that reduce their cognitive burden, while improving the utilization of resources for organization that are part of the service provider network.


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