Advanced Materials Research Vols. 798-799

Abstract: The relationship of function calling is the core of understanding and maintaining software systems for engineers, but so far there have been so little studies concentrating on this aspect. In this paper we presented a comprehensive study of analyzing the software systems at the function level with complex network theory, expecting for providing guidance to the maintaining and controlling of systems. We selected a simple scripting language Lua whose code is in appropriate size for complexity analysis mainly in degree distribution and community detection, and found the heavy-tail and high clustering phenomenon.

Abstract: Cloud computing is a new-type of computing model. This paper deeply expounded the key technology of virtualization and cloud computing through theoretical analysis and practice research on cloud computing and its architecture. Then, it proposed a common cloud computing architecture model based on virtual environment, which consisted of layers of data center, cloud file system, computing model, data management, and application development. In addition, it realized a cloud computing platform based on Hadoop.

Abstract: In this paper, chaos synchronization of the modified Sprott E system is investigated. Firstly, the chaotic attractors on different phase planes of the system are got by means of numerical simulation. When , the abundance dynamical behavior of the system is presented by the global bifurcation graph. Then, the chaos synchronization of the system by the full state hybrid projective synchronization (FSHPS) method is realized.

Abstract: Online examination system is built on internet applications,aimed at achieving information management of examinations. Online examination system in the generation of test papers, the submission and approval can be done automatically on the network. We proposes a new heuristic genetic test paper algorithm, and the proposed algorithm is applied to the online examination system. From the experimental results,the improved algorithm has achieved satisfactory performance.

Abstract: Over the past decade, Big Data has been becoming a great research hotspot because of continuous implementation of advanced techniques, burgeoning interdisciplinary cooperation and varying user requirements. Because of its well-known four V-characters, the associated applications always suffer from low efficiency and hard to manage. Our research summarized the common issues of Big Data-based applications, and set improving data formatting and representation performances as the research objectives. In this paper, a novel data presentation strategy was built via devising volume-based representation to facilitate complicated processing work and overcome limitations of data manipulation tasks. For improving information processing efficiency, this design served as a data carrier which enables flexible implementations of data processing algorithms. Besides, its inherent spatial information not only supports direct operations, but shows the feasibility of information integration in the future work.

Abstract: This paper mainly researches trim and transplantation of the Linux kernel at the platform of ARM.Transplantation of operating system can be done in the following steps: configuration, trim of source code, cross-compilation. This paper make a detailed description about items above,and the realization of it. Transplantation of operating system is the base of embedded system,so it has a important significance on development of embedded system.

Abstract: K-means algorithm is a traditional cluster analysis method, has the characteristics of simple ideas and algorithms, and thus become one of the commonly used methods of cluster analysis. However, the K-means algorithm classification results are too dependent on the choice of the initial cluster centers for some initial value, the algorithm may converge in general suboptimal solutions. Analysis of the K-means algorithm and particle swarm optimization based on a clustering algorithm based on improved particle swarm algorithm. The algorithm local search ability of the K-means algorithm and the global search ability of particle swarm optimization, local search ability to improve the K-means algorithm to accelerate the convergence speed effectively prevent the occurrence of the phenomenon of precocious puberty. The experiments show that the clustering algorithm has better convergence effect.

Abstract: The sort-first algorithm is the most simple distributed rendering solutions, but there is a problem of loading balancing between nodes, so sort-first adaptive dynamic load balancing algorithm proposed in this paper. This algorithm uses feedback data what comes from rending node to solve the problem of unbalanced tasks between nodes in sort-first algorithm, while the use of its distributed rendering system can achieve a simple expansion. This algorithm can provide a good reference for similar system design.

Abstract: Logistics public information platform is an important part of logistics informationization is to provide public service platform, to the logistics industry is between logistics enterprise resource sharing, complementary advantages of the platform, and logistics supply chain organization and operation control of the central nervous. This paper mainly constructs the logistics public information platform based on Internet of things technology. Logistics public information platform is mainly composed of data management, service management, portal features and operational management of four subsystems. Service management subsystem is the core of this platform, release subscription service management module for the design. Logistics public information platform based on improving the efficiency of the logistics, reduce logistics cost for the purpose, in order to realize efficient across the enterprise logistics information exchange and sharing.

Abstract: In this paper, different mathematics models are applied to research the reasonable pricing of the cloud computing software products on the SaaS platform and explore the sales price of the cloud computing software products with the maximum total profits. These information can be the reference for decision-makers to determine the pricing strategy. The aim of this paper is for the cloud computing company to provide the majority of users with the inexpensive and excellent softwares and services, which can make the company dominate the cloud computing market quickly, gain the huge profits in the sustainable development manner and consider the interests of the company, users and the society.Keywords: clouding computing, SaaS, pricing and charging, mathematical analysis