With the continuous development and evolvement of Internet of Things （IoT）, monolithic application becomes much larger in scale and even more complex in structure. This leads to poor scalability, extensibility and m...With the continuous development and evolvement of Internet of Things （IoT）, monolithic application becomes much larger in scale and even more complex in structure. This leads to poor scalability, extensibility and maintainability. In response to those challenges, microservice architecture has been introduced in the field of IoT application, due to its flexibility, lightweight and loose coupling. However, the existing loT framework of microservice mainly focus on a specific domain, therefore, this greatly limits its application. In this paper, we propose a general microservice system framework for the loT application, which is a better scalable, extendable and maintainable architecture. We introduce its system design and related microservices, and emphasize on core service and device communication from service layer to physical layer. It has better capacity to support interoperability and accommodate heterogeneous objects. In addition, this framework can easily achieve more application integration such as automation, intelligence, Geo service and Big Data.展开更多
Micro and small enterprises （MSEs） are considered the most dynamic and flexible arrangement of activity. In the economy, the foundation and development of these features is important for the creation of the so-call...Micro and small enterprises （MSEs） are considered the most dynamic and flexible arrangement of activity. In the economy, the foundation and development of these features is important for the creation of the so-called ＂normal＂ economic environment. The main objective of this research is to present a research model of innovation in MSEs to analyse： first, the degree of innovation of MSEs, and second, how the innovation is handled by existing MSEs as a result of its business environment. The research made is based on a sample of 550 MSEs distributed over six cities across the Brazilian State of Piaui. The data were collected using the Innovation Radar application, which is owned by the SEBRAE Local Innovation Agents program. Statistical techniques of descriptive, exploratory, and inferential nature were used for corresponding data treatment and results validation. The results obtained suggest that MSEs have innovation capacity between the ＂Little Innovative＂ and ＂Occasional Innovative＂ range, and also that the average and the distribution of innovation levels are similar amongst MSEs analyzed.展开更多
This paper introduces the application of data mining technology in data service. Data mining is a new technology, but its application time is long, and the application effect is obvious. Data mining technology can be ...This paper introduces the application of data mining technology in data service. Data mining is a new technology, but its application time is long, and the application effect is obvious. Data mining technology can be used in enterprise customer service system, which can help enterprises to find potential customers, while retaining the most valuable customers. We pointed out the necessity of establishing data mining technology and service intelligence analysis system based on the combination of intelligence analysis and service characteristics and processes, the method of data mining, knowledge management ideas applied to intelligence analysis and service system.展开更多
The architecture of edge-cloud cooperation is proposed as a compromising solution that combines the advantage of MEC and central cloud. In this paper we investigated the problem of how to reduce the average delay of M...The architecture of edge-cloud cooperation is proposed as a compromising solution that combines the advantage of MEC and central cloud. In this paper we investigated the problem of how to reduce the average delay of MEC application by collaborative task scheduling. The collaborative task scheduling is modeled as a constrained shortest path problem over an acyclic graph. By characterizing the optimal solution, the constrained optimization problem is simplified according to one-climb theory and enumeration algorithm. Generally, the edge-cloud collaborative task scheduling scheme performance better than independent scheme in reducing average delay. In heavy workload scenario, high blocking probability and retransmission delay at MEC is the key factor for average delay. Hence, more task executed on central cloud with abundant resource is the optimal scheme. Otherwise, transmission delay is inevitable compared with execution delay. MEC configured with higher priority and deployed close to terminals obtain more performance gain.展开更多
文摘With the continuous development and evolvement of Internet of Things （IoT）, monolithic application becomes much larger in scale and even more complex in structure. This leads to poor scalability, extensibility and maintainability. In response to those challenges, microservice architecture has been introduced in the field of IoT application, due to its flexibility, lightweight and loose coupling. However, the existing loT framework of microservice mainly focus on a specific domain, therefore, this greatly limits its application. In this paper, we propose a general microservice system framework for the loT application, which is a better scalable, extendable and maintainable architecture. We introduce its system design and related microservices, and emphasize on core service and device communication from service layer to physical layer. It has better capacity to support interoperability and accommodate heterogeneous objects. In addition, this framework can easily achieve more application integration such as automation, intelligence, Geo service and Big Data.
文摘Micro and small enterprises （MSEs） are considered the most dynamic and flexible arrangement of activity. In the economy, the foundation and development of these features is important for the creation of the so-called ＂normal＂ economic environment. The main objective of this research is to present a research model of innovation in MSEs to analyse： first, the degree of innovation of MSEs, and second, how the innovation is handled by existing MSEs as a result of its business environment. The research made is based on a sample of 550 MSEs distributed over six cities across the Brazilian State of Piaui. The data were collected using the Innovation Radar application, which is owned by the SEBRAE Local Innovation Agents program. Statistical techniques of descriptive, exploratory, and inferential nature were used for corresponding data treatment and results validation. The results obtained suggest that MSEs have innovation capacity between the ＂Little Innovative＂ and ＂Occasional Innovative＂ range, and also that the average and the distribution of innovation levels are similar amongst MSEs analyzed.
文摘This paper introduces the application of data mining technology in data service. Data mining is a new technology, but its application time is long, and the application effect is obvious. Data mining technology can be used in enterprise customer service system, which can help enterprises to find potential customers, while retaining the most valuable customers. We pointed out the necessity of establishing data mining technology and service intelligence analysis system based on the combination of intelligence analysis and service characteristics and processes, the method of data mining, knowledge management ideas applied to intelligence analysis and service system.
文摘The architecture of edge-cloud cooperation is proposed as a compromising solution that combines the advantage of MEC and central cloud. In this paper we investigated the problem of how to reduce the average delay of MEC application by collaborative task scheduling. The collaborative task scheduling is modeled as a constrained shortest path problem over an acyclic graph. By characterizing the optimal solution, the constrained optimization problem is simplified according to one-climb theory and enumeration algorithm. Generally, the edge-cloud collaborative task scheduling scheme performance better than independent scheme in reducing average delay. In heavy workload scenario, high blocking probability and retransmission delay at MEC is the key factor for average delay. Hence, more task executed on central cloud with abundant resource is the optimal scheme. Otherwise, transmission delay is inevitable compared with execution delay. MEC configured with higher priority and deployed close to terminals obtain more performance gain.
