انبوهی از اطلاعات جدید سیستم دولتی با تکنیک های خدمات وب: نمونه ای از یک سیستم چند عاملی صرفه جویی در انرژی

This study designed and developed a novel cloud information agent system with Web service techniques. This paper not only explores related technologies for establishing Web service platforms, but also investigates the construction of cloud interactive diagrams using the extremely efficient operating methods towards extensively and seamlessly integrating backend information agent systems in the context of the Internet. Specifically, this paper provides an example of an energy-saving multi-agent system, and produces results regarding the completeness and feasibility of the proposed architecture. This is aimed at building related information agent mechanisms to support energy-saving information processing and decision-making in order to focus on a system design of succinctness, cooperation, modularizing, and easy maintenance, with emphasis on computing power with many Web service techniques. The deep and complete system development, display, and corresponding experiments and comparisons show that the research results are highly successful.

Traditional programs deal with all operations in individual processes, one by one: a technique that greatly inhibits their processing performance. This approach not only wastes time on meaningless processes, but is also unable to effectively ensure processing efficiency. However, program development has gradually improved design procedures, with more and stronger program support, in addition to advances in science and technology, such as object-concept production, which can not only increase convenience in programming, but also decrease complexity. In the middle stage, the development of API (Application Programming Interface) enabled programmers to develop various universal functions, as well as modularized interfaces for application to each type of program. The convenience of this approach is greater than before. In the networking era, many Web services resulted from the development of the interfaces of traditional program providers with cloud computing techniques. Web services principally provide services for application programs on the Web, and enable the use of programs in other machines, which are provided with powerful inter-communication and extendibility. They can easily integrate application programs and related programs on the Web, and achieve certain complicated information service processes through interactive programs. Related standards contain: XML (Extensible Makeup Language), SOAP (Simple Object Access Protocol), WSDL (Web Services Description Language) and UDDI (Universal Description, Discovery and Integration) (Wu, 2012). They are ready to run through networks, transmit necessary service interfaces to needed programs, and even propose formats of communication standards. When program scales need addition or modification, they can immediately be achieved through Web services. With regard to cloud computing environments, this paper develops an intelligent energy-saving multi-agent system based on Web service techniques, which can easily achieve the application goal of ubiquitously accessing information. Due to the distribution of space and monitoring hosts, energy-saving information systems require a more flexible method of program development. Replacing an existent application interface with network transmission and Web services functions not only easily achieves on-line and real-time addition/modification services, but also immediately extends more powerful functions. Fig. 1 illustrates the conceptual architecture of an energy-saving information system developed by the intelligent systems laboratory of the Department of Computer and Communication Engineering in St. John’s University, Taiwan. The monitoring and controlling system was constructed with a wireless sensor network to detect and collect the running parameters of all electrical devices; then, the related data would be sent to a cloud server through a relay server for correspondingly providing related energy-saving information processing and decision supporting in the power consumption space (Yang, Chiang, & Wu, 2010). The system interface is shown in Fig. 2.The cloud server is a multi-agent system, including: Interface Agent (IA), Data Mining Agent (DMA), Case-Based Reasoning Agent (CBRA), and Web-service-based Information Agent System (WIAS), as shown in Fig. 3 (Yang, Lee, Chen, & Hsu, 2011). The IA (Yang & Lee, 2012) is responsible for providing energy-saving monitoring of information access and intelligent decision making. The latter is aimed at providing corresponding control decisions to monitor information, including whether prediction solutions exist, as judged one by the DMA (Yang & Chen, 2012), whether CBR solutions exist, as a series of judgments by the CBRA (Yang & Tsai, 2011), and whether predefined solutions exist, as judged one by the IA in accordance with predefined rules within the WIAS. This is called three-stage intelligent decision processing. The WIAS employs the concept of SQL IC to be responsible for providing various Web services with energy-saving information from the abovementioned agent systems, which can achieve investigation by quickly accessing system information in clouds via the Internet.In summary, this paper focuses on designing and developing a novel cloud information agent system: a WIAS with Web service techniques. Not only can it explore related technologies to establish Web service platforms, but it can also study how to better construct cloud interactive diagrams to employ Web service techniques for extensively and seamlessly integrating backend information agent systems on the Internet. Notably, this work provides an example of an energy-saving multi-agent system, and produces results regarding the completeness and feasibility of the proposed architecture. This serves to build related information agent mechanisms to support energy-saving information processing and decision making in order to focus on a system design of succinctness, cooperation, modularizing, and easy maintenance, with emphasis on computing power with many Web service techniques. The deep and complete system development, display, and corresponding experiments and comparisons show that the research results not only sketch the feasibility of the proposed architecture, but are also highly successful, including over 50% efficiency power supported by Web services greater than the client with local processing; on average, 57% of CPU requirements of the proposed system than the local clients; the average values of reliability and validity of the proposed system were 0.989687 and 0.996558, respectively; on average, 40% of the data queries can be answered by the CBRA, and its correct rate of data solutions is around 85.1%; on average, 31% of the data queries can be answered by the DMA, and its correct rate of data solutions is around 88.8%, leaving, in other words, about 29% of the queries for the backend system to take care of, which can effectively alleviate the overloading problem usually associated with a backend server; finally, the system is put into a practice environment, and after 8 months of experiments the total energy-saving percentage is 22.44%. The remainder of this paper is organized as follows: Section 2 introduces the operations of the example of energy-saving multi-agent system. Section 3 illustrates the WIAS’ design philosophy, system architecture, and how it is constructed. Section 4 presents the system display and evaluation. Section 5 discusses related works, while Section 6 offers some conclusions and future works.

This paper has proposed a novel cloud information agent system: WIAS with Web service techniques. It can not only explore related technologies to establish Web service platforms, but it can also study how to better construct cloud interactive diagrams in order to employ Web service techniques for extensively and seamlessly integrating backend information agent systems on the Internet. Notably, this work provides an example of an energy-saving multi-agent system, and produces results regarding the completeness and feasibility of the proposed architecture. The aim is to build related information agent mechanisms to support energy-saving information processing and decision making in order to focus on the system design elements of succinctness, cooperation, modularizing, easy maintenance, and emphasis on computing power with many Web service techniques. The deep and complete system development, display, and corresponding experiments and comparisons show not only the feasibility of the proposed architecture, but also that it is highly successful, with over 50% more efficiency intensity supported by Web services than the client with local processing; on average, the proposed system CPU requirement is 57% of the local clients; the average values of reliability and validity of the proposed system were 0.989687 and 0.996558, respectively; on average, 40% of the data queries can be answered by the CBRA, and its correct rate of data solutions is around 85.1%; on average, 31% of the data queries can be answered by the DMA, and its correct rate of data solutions is around 88.8%, in other words, leaving about 29% of the queries for the backend system to take care of, which can effectively alleviate the overloading problem usually associated with a backend server. Finally, we put the system into a practice environment, and, after 8 months of experiments, the total energy-saving percentage was 22.44%. Related system characteristics are described below: (1) Standardizing access: the proposed system employs consistent database connections and establishes the interface windows of data needed to add, inquire, modify and delete for avoiding direct-access the system databases. (2) Module management: the proposed system runs through parameter passing to corresponding Web service, aggregates those outcomes of complicated program judging and decision making, and returns the corresponding results. (3) Cross-platform: the proposed system adequately employs the cross-platform property of Web services, and easily integrates information communication among related agent systems in order to improve communication friendliness amongst each other. (4) Alleviating execution loading of client: the proposed system uses Web service techniques to process the information clouds in order to decrease the operation loading of the client end. (5) Multi-user and multi-tasking process: the proposed system runs through the single and unifying Web service interface for simultaneously processing within each agent system. (6) The proposed system is the first energy-saving multi-agent system with Web service techniques in cloud environments, while the proposed architecture is also the first multi-agent structure of an energy-saving information system in a practical environment. This study has engaged the assistance of the WIAS to design and develop an energy-saving multi-agent system. The proposed methodology not only firmly establishes a construction mode of a novel information system, but also efficiently and effectively runs through Web service techniques to improve and enhance the shortcomings of traditional energy-saving information systems, and correspondingly provides the capabilities of distributed information processing, cross-platform, higher expansion, easy maintenance, and lower installation cost and time. Although this approach can improve many shortcomings of traditional systems in the system development procedures, the enhancements of finer system expansion and detailed system operational performance tuning are the focus of future investigation, including (1) to build many interfaces to many types of databases: this will not only conveniently integrate existent system databases, but also improve the application expansion of the WIAS; and (2) detailed improvement of the operational time and space complexities of the WIAS’ functions: this will universally enhance the performances of the resident WIAS, and systems supported by that WIAS.