代理彩票网娱乐登录

Testing and Evaluation of Cloud Computing

xBench is a platform for the testing and evaluation of cloud computing services. It relies on multi-tier and fine-grained system monitoring tools, and utilizes both theoretical and experimental methodologies for testing system availability, robustness, efficiency, and interoperability so as to create an integrated evaluation platform. xBench provides open service infrastructure, service consolidators, online testing benchmarks, and Web-based user-interfaces.

Shenzhen EngineeringLaboratory of BeidouLocation Based Services Technology

Shenzhen Institute of Beidou Applied Technology, based on the Beidou Platform for Spatial-Temporal Service, build by means of cloud computing, the integration of satellite navigation, mobile Internet,spatial-temporalinformation, intelligent sensing etc, set the platform of research and industrial innovation on relatively complete industrial chainincludingproduct research, system integration and operation service.Beidou engineering laboratory,based on beidou satellitetechnology,aim at the application requirements for intelligent logistics, intelligent transportation, intelligent logistics , public fire of wisdom, urban emergency and private car services,etc,building a platform ofindependent controllablebeidou location service and management, by means of cloud computing.Works: "beidou express", is asocialAPP based on the particular function of beidou satellite navigation system—beidou short message.It is Convenient for usersto communicationin short messages with home or distant relatives and friendsin the absence of mobile communication network. It has the function of position tracking and display by beidou satellite as well.

Data Engineering and Science Innovation Team

代理彩票网娱乐登录Highlighted areas and research goals: Theoretical research problems arising from complex data, such as value theory of complex data, theory of data distribution, and theory of data irregularity. Complexity of computation and energy consumption related to data computing. Big data technology and practice, including and not limited to data collection, data transport and data processing.Studies based on real world data with prospective outcomes helping solve real world problems. Effort prioritized for bridging the gap between theory and application, closing the loop of innovation and research.Data platforms for civil and industrial application in such areas as internet, health care, security, and finance. Collaboration on promoting service for open access and contribution to public data infrastructure. Data eco-system for health and heathcare. 

Shenzhen Laboratory for High-Efficiency Cloud Technologies

The Shenzhen Laboratory for High-Efficiency Cloud Technologies,an affiliated of with the Shenzhen Institutes of Advanced Technology, launched in January 2011, with approval from the Shenzhen Development and Reform Commission. The laboratory focuses on developing key technologies for highly efficient, secure, reliable,and energy-saving cloud platforms. The research areas include reliability enhancement, resource management, energy saving, data security,and privacy protection in large-scale cloud systems. At the same time, the laboratory will work on industrialization and will demonstrate projects in various fields, such as public health, energy saving, disaster prevention, city planning, and education.

Study on the key techniques of the Sea-Cloud data system (SCDS) and their implementation

代理彩票网娱乐登录Based on cloud computing paradigm, a highly scalable, secure, and easy-to-use platform is built, which integrates data collection, storage, management, and analysis. This platform circumvents the generalization, large-volume data and heterogeneity at all level issues in internet of things, mobile internet, and social networks. It can store PB level of data, provide real-time data processing, and offline statistic processing. The advanced online backup strategy guarantees zero-lost storage; the encryption protocol and access control policy guarantee SCDS with high security. SCDS earns the first prize of science and technical progress from Chinese Institute of Electronics (CIE). Base on SCDS, we developed an intelligent transportation system (ITS) for the Shenzhen City and ITS wins the first prize of science and technical progress from Chinese Institute of Intelligent Transportation (CIIT).

Modeling Large Scale Dynamic Scenes Based On Multi-Modality Sensing Data

VisuCA plays a central role in bringing together research, education, industry, and government sectors that related to 3D technologies. It conducts deep research on 3D acquisition/understanding/modeling and visual analytics/computing, with applications in virtual reality, smart city, E-commercial, manufacture, education, art and entertainment.

Shenzhen Key Laboratory for Visual Computing and Analytics (VisuCA)

VisuCA plays a central role in bringing together research, education, industry, and government sectors that related to 3D technologies. It conducts deep research on 3D acquisition/understanding/modeling and visual analytics/computing, with applications in virtual reality, smart city, E-commercial, manufacture, education, art and entertainment.

High Resolution Numerical Weather Prediction System for Pearl River Delta Area

This project is based on the current framework of Numerical Weather Prediction (NWP) system of Shenzhen Meteorological Bureau (SZMB), aiming to further enhance the development of the basic data set of NWP for SZMB. It will establish the framework and function of high-resolution weather prediction system through the construction of HAPS (Hourly Assimilation and Prediction System) and HAPS_ENS (HAPS Ensemble). This high resolution NWP system is characterized by its stable operational function and the integration of several most advanced meso-scale NWP systems around the world. It will enhance the severe weather forecast skill, both in deterministic and ensemble based probabilistic forecast framework, by improving the forecasting lead time and accuracy. The deterministic NWP will hourly provide the next 0-24 hour weather forecast with the resolution of 1-2 kilometers. HAPS_ENS will play an important role in the mid-term and long-term weather forecast and the prediction of the probabilities of severe weather disasters.

Highly Scalable Aeroelasticity Simulation Software Design

代理彩票网娱乐登录Because of the lack of the parallel scalability, the current aeroelasticity simulation software is not satisfied the urgently demanded large-scale, high-fidelity, and fast solution of the aeroelasticity problems yet. In this project, we combine the advanced linear/nonlinear iterative solvers, scalable parallel algorithms, unstructured mesh processing techniques, parallel visualization methods, multi-physic coupling techniques, and communication and networking optimization techniques to develop a highly scalable software on Peta-scale supercomputers for the aeroelasticity simulation of the aeronautics and astronautics aircrafts (subsonic, transonic, and hypersonic) and high speed train based on the unstructured mesh, multi-level, monolithic, implicit, and multi-domain techniques, and its application to the multi-physics design of aircrafts and high-speed trains.

Implementation and technical service for cloud security

This project aims to study and implement the key protection techniques needed by constructing a highly secure cloud computing platform. It provides a variety of flexible strategies and mechanisms including secure interfaces and middle-ware, which can integrate different services from a wide range of cloud computing platforms, making them be easily used in practice. As a result, this project will build a protection system in a modular manner to guarantee the security of cloud platform and this system can be used for any cloud platforms, constructing a solid theory and technical base for popularizing cloud computing techniques. The research topics are: (1) account management, (2) isolation of multi-talents and shared access control techniques between them, (3) encryption for sensitive information, (4) cryptograph-based query and index techniques, (4) reliability and fault-tolerance of storage systems, (5) resource monitoring, (6) security isolation and protection of virtual machines, (7) data security and privacy protection, (8) identification of malicious software behavior, and (9) benchmarks for cloud security.

Joint Investigation and Research on eco-environment protection and resource management of Central Asia region under the background of climatic change

代理彩票网娱乐登录To develop a data mining system to reveal the spatial correlation among various factors of land surface process of the ecosystem in Central Asia based on the data of land use and land cover, soil, socio-economy, distribution of flora and fauna, climate and water resources etc.To develop a decision support system (DSS) in a distributed computing environment with high-performance for analyzing and evaluating ecology and resources by utilizing multi-source eco-environmental data with different formats including Central Asia’s water, climate, weather, soil, bio-resources, mining resources, eco-environment, socio-economy etc.

Cooperative Computing Theory and Method in Urban Computing

This project aims to investigate the cooperation enhancement scheme and the correlation expression on the topic of big data analytics for urban computing. To refine the data sets, it is important to implement the procedure from pervasive big data, to correlated big data, to refined big data. The theory of crowd cognition and the model of deep computing are two fundamental works in this project. The demonstration of this project is to build up the big data analytics platform for urban computing and the system that can trace to the source of food and pre-warn for food safety. This infrastructure of new computing theory and methods is characterized as data evolved in the cyber-physical-social system , crowd cognition, and computation layering.

Smart City (First Stage)---Research on data acquisition and dynamic sensing technologies

This project mainly focuses on the research of key technologies of data acquisition and dynamic sensing in smart city. The research objects are urban physical space, urban environment, people and activities in city. We completed the design, installation and debugging of multi-functional sensors data acquisition devices. Based on measurement methods of vehicular mobile laser scanning and video camera, large-scale urban multi-source data can be acquired efficiently and fine-grained, then urban scenes can be classified, recognized and understood. Further analysis and event extraction are also conducted for urban.

欧宝外围在线,澳门皇冠官网是多少,米兰备用网址¶|亚洲最大平台 澳门手机号接码平台,ag捕鱼王2赢钱,88棋牌靠谱吗¶|亚洲最大平台 河北快三前期开奖结果,吉林快三遗漏预测,澳门4066电子游戏¶|亚洲最大平台 珠海信印名门官网,九乐棋牌游戏平台,凯发k8体育捕鱼平台¶|亚洲最大平台 www.kmarksix.cn,173财神捕鱼,123棋牌账号¶|亚洲最大平台 中国福利彩票平台刷单,台州麻将下载,林肯娱乐平台注册地址¶|亚洲最大平台 668棋牌下载,澳门美高梅ag平台,财神备用网址¶|亚洲最大平台 65体育app,新亚洲彩票app,必赢366的网站¶|亚洲最大平台 乐和彩下载,线上现金赌场,棒球比赛记录¶|亚洲最大平台 五龙争霸游戏,蒙通联VS全北现代,马德里网上娱乐¶|亚洲最大平台