Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Tom Z. J. Fu"'
Autor:
Boyan Xu, Zhenjie Zhang, Ruichu Cai, Zijian Li, Xiaoyan Yang, Marianne Winslett, Tom Z. J. Fu, Hong Wei Ng
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 12:1-21
Data-driven models are becoming essential parts in modern mechanical systems, commonly used to capture the behavior of various equipment and varying environmental characteristics. Despite the advantages of these data-driven models on excellent adapti
Publikováno v:
SIGCOMM Posters and Demos
Although a lot of congestion control algorithms have been proposed in the past thirty years, researchers pointed out that there is no single one that can achieve best performance in all kinds of network environments. However, service providers mostly
Publikováno v:
NOSSDAV
The prevalence of personal devices motivates the rapid development of crowdsourced livecast in recent years. However, there exists huge diversity of upstream bandwidth among amateur broadcasters. Moreover, the highest video quality that can be stream
Publikováno v:
NOSSDAV
Variable Bitrate (VBR) video encoding can provide much high quality-to-bits ratio compared to the widely adopted Constant Bitrate (CBR) encoding, and thus receives significant attentions by content providers in recent years. However, it is challengin
Publikováno v:
ICNP
Data communication in cloud-based distributed stream data analytics often involves a collection of parallel and pipelined TCP flows. As the standard TCP congestion control mechanism is designed for achieving "fairness" among competing flows and is ag
Publikováno v:
NetSoft
Continuing the current trend, Internet traffic is expected to grow significantly over the coming years, with video traffic consuming the biggest share. Despite numerous optimizations of the transport congestion control, and the switch butter sizing a
Autor:
Ruichu Cai, Li Wang, Tom Z. J. Fu, Yin Yang, Zhenjie Zhang, Marianne Winslett, Zhifeng Hao, Kailin Tang
Publikováno v:
HPCC/DSS/SmartCity
Distributed stream processing is nowadays a leading paradigm for managing massive streaming data and performing real-time analytics on such streams. Since data volume and distribution in the input streams often change over time, a dynamic resource sc
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 29:2223-2240
Key-based workload partitioning is now commonly used in parallel stream processing, enabling effective key-value tuple distribution over worker threads in a logical operator. While randomized hashing on the keys is capable of balancing the workload f
Publikováno v:
IEEE/ACM Transactions on Networking. 25:3338-3352
In a stream data analytics system, input data arrive continuously and trigger the processing and updating of analytics results. We focus on applications with real-time constraints, in which, any data unit must be completely processed within a given t
Publikováno v:
ACM Multimedia
Automatic sports video analysis is an active field of research, and accurate player & ball tracking is essential for soccer video analysis and visualization. However, the variations over frames and the scarceness of large-scale well-annotated dataset