Transactional Business Application Based on Microservice Architecture

This paper uncovers dimensions of family influence on private small business in Vietnam. Although the F-PEC scale, which comprises three subscales for power, experience and culture dimensions of family influence, has been validated in the literature, application of the scale in an Asian context, like Vietnam, may face challenges due to context differences. The study modified the original scale based on qualitative findings from five interviews with entrepreneurs and comments on the scale from business scholars. Data from a survey of 143 entrepreneurs were used for EFA, resulting in four factors. And CFA proves fitness of the measurement model of the four-factor structure to the data, in which two dimensions regarding the cultural aspect were confirmed.

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Implementation of data mining as a support of business application strategy

Journal of Applied Information, Communication and Technology ◽

10.33555/ejaict.v5i1.49 ◽

2018 ◽

Vol 5 (1) ◽

pp. 47-55

Author(s):

Florensia Unggul Damayanti

Keyword(s):

Data Mining ◽

Random Forest ◽

Business Strategy ◽

Input Parameter ◽

Data Mining Algorithm ◽

Complex Data ◽

Business Decision ◽

Marketing Department ◽

Business Application ◽

Complex Data Sets

Data mining help industries create intelligent decision on complex problems. Data mining algorithm can be applied to the data in order to forecasting, identity pattern, make rules and recommendations, analyze the sequence in complex data sets and retrieve fresh insights. Yet, increasing of technology and various techniques among data mining availability data give opportunity to industries to explore and gain valuable information from their data and use the information to support business decision making. This paper implement classification data mining in order to retrieve knowledge in customer databases to support marketing department while planning strategy for predict plan premium. The dataset decompose into conceptual analytic to identify characteristic data that can be used as input parameter of data mining model. Business decision and application is characterized by processing step, processing characteristic and processing outcome (Seng, J.L., Chen T.C. 2010). This paper set up experimental of data mining based on J48 and Random Forest classifiers and put a light on performance evaluation between J48 and random forest in the context of dataset in insurance industries. The experiment result are about classification accuracy and efficiency of J48 and Random Forest , also find out the most attribute that can be used to predict plan premium in context of strategic planning to support business strategy.

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SMAP based Security Service Methods for Mobile RFID Business Application

The e-Business Studies ◽

10.15719/geba.11.2.201006.295 ◽

2010 ◽

Vol 11 (2) ◽

pp. 295-315

Author(s):

박남제

Keyword(s):

Security Service ◽

Business Application ◽

Mobile Rfid

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DYNAMIC REST SERVICES ORCHESTRATION USING THE KNOWLEDGE BASE

Visnyk Universytetu “Ukraina” ◽

10.36994/2707-4110-2019-1-22-26 ◽

2019 ◽

Author(s):

Kostyantyn Kharchenko

Keyword(s):

Knowledge Base ◽

Service Oriented Architecture ◽

Main Idea ◽

The Real ◽

Server Side ◽

Service Oriented ◽

Services Orchestration ◽

Client Side ◽

Abstract Operation ◽

Microservice Architecture

The approach to organizing the automated calculations’ execution process using the web services (in particular, REST-services) is reviewed. The given solution will simplify the procedure of introduction of the new functionality in applied systems built according to the service-oriented architecture and microservice architecture principles. The main idea of the proposed solution is in maximum division of the server-side logic development and the client-side logic, when clients are used to set the abstract computation goals without any dependencies to existing applied services. It is proposed to rely on the centralized scheme to organize the computations (named as orchestration) and to put to the knowledge base the set of rules used to build (in multiple steps) the concrete computational scenario from the abstract goal. It is proposed to include the computing task’s execution subsystem to the software architecture of the applied system. This subsystem is composed of the service which is processing the incoming requests for execution, the service registry and the orchestration service. The clients send requests to the execution subsystem without any references to the real-world services to be called. The service registry searches the knowledge base for the corresponding input request template, then the abstract operation description search for the request template is performed. Each abstract operation may already have its implementation in the form of workflow composed of invocations of the real applied services’ operations. In case of absence of the corresponding workflow in the database, this workflow implementation could be synthesized dynamically according to the input and output data and the functionality description of the abstract operation and registered applied services. The workflows are executed by the orchestrator service. Thus, adding some new functions to the client side can be possible without any changes at the server side. And vice versa, adding new services can impact the execution of the calculations without updating the clients.

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