The csdn open-source summer order activity has officially entered the first internship stage. We have selected some outstanding proposal opening and question reports for presentation. This article is a presentation of cloud computing and big data issue reports.
Editor's note: The csdn open-source summer order activity has officially entered the first internship stage. We have selected some outstanding issue reports for presentation. The author of the excellent opening report will receive a copy of the "2014 open source summer camp honor certificate" issued by the csdn university club and a souvenir.
Proposal 1: Data Visualization practices
- Proposal Introduction: This project is based on Baidu data visualization components (echarts and zrender) for data visualization-related thematic applications. The content subject is not limited, but it is recommended to be close to the masses of the people's livelihood, such as "environment", "finance", and "social networking". Real data and traceable data sources, such as from "National Bureau of Statistics", "Baidu Statistics", and "Weibo open interfaces.
- Proposal address: http://code.csdn.net/ OS _camp/40/proposals/42
Excellent question opening report
- Yu XiaoBei, Yunnan University, view the opening report
- Li Ao, University of the Chinese Emy of sciences, view the opening report
- Min jun, Nankai University, view the opening report
- Li Chao, University of Chinese Emy of sciences, view the opening report
- Zhang Zhuo, Northwestern University, view the opening report
Proposal 2: WebRTC-based social cloud TV prototype
- Proposal Introduction: we are now trying to implement a new form of social cloud TV prototype in the future. When we know the IP address of a friend and other information, we can invite friends to watch videos and chat together. Video content can be transmitted point-to-point through WebRTC's mediastream or datachannel APIs, which enhances interactivity and reduces the bandwidth of the server.
- Proposal address: http://code.csdn.net/ OS _camp/52/proposals/78
- Excellent Opening Report: Zhang Sheng, Huazhong University of Science and Technology, view the Opening Report Content
Proposal 3: spark streaming Machine Learning Algorithm Implementation
- Proposal Introduction: at the other end of the big data world, machine learning, especially deep learning, has made knowledge available. Spark also provides natural support for machine learning. mllib built on spark is a representative of machine learning in the spark community. From the model perspective, generalized linear models, decision trees, and matrix decomposition are fully covered. From the numerical optimization perspective, gradient descent, Newton method, and admm are equally lacking.
- Proposal address: http://code.csdn.net/ OS _camp/8/proposals/27
- Excellent question opening report: Yu, Xi'an Jiao Tong University
Proposal 4: cloud storage-based Linux system enhancement service
- Proposal Introduction: cloud storage service providers in China, such as Kingsoft fast disk, provide users with a huge cloud storage space and provide a wide range of system enhancement functions for windows and other platforms, the lack of a Linux client or simple functions. The project uses interfaces provided by large-capacity cloud storage services in China to provide enhanced system services for Linux users and create an integrated cloud user experience. For details, refer to Ubuntu one.
- Proposal address: http://code.csdn.net/ OS _camp/3/proposals/81
Excellent question opening report
- Kang songchuan, Jilin University, view the opening report
- Liang Lanlan, South China Normal University, view the opening report
Proposal 5: Efficient KNN query of network topology distance
- Proposal Introduction: In some application scenarios, You need to quickly find K neighboring nodes with a user's topology closer to the network (with few hops, low connection latency, and fast transmission rate, KNN (k-Nearest Neighbor query ). The user's information in the network can be encoded into a multi-dimensional vector, such. In the past, GIS (Geographic Information System) provided us with many reference methods for indexing high-dimensional data and KNN queries, such as R-tree, KD-tree, And geohash and "Grid" algorithms.
- Proposal address: http://code.csdn.net/ OS _camp/52/proposals/77
Excellent question opening report
- Liu zhaorui, Southwest Jiaotong University, view the opening report
- Xi 'an Jiao Tong University, view the opening report
- Li mengshu, Lanzhou University, view the opening report
- Liu zhaorui, Southwest Jiaotong University, view the opening report
- Qi Cong, University of electronic science and technology, view the opening report
Series collection presentation:
- [Open Source summer camp excellent question opening report] Front-end and mobile collection
- [Open Source summer camp excellent opening report] embedded and smart hardware
