A5014222538- Cloud Computing and Resource Management
- Advanced Database Systems and Queries
- Data Management and Algorithms
- Anomaly Detection Techniques and Applications
- Data Stream Mining Techniques
- Blockchain Technology Applications and Security
- Auction Theory and Applications
- Speech and Audio Processing
- Blind Source Separation Techniques
- Fault Detection and Control Systems
- Advanced Algorithms and Applications
- Image Retrieval and Classification Techniques
- Video Analysis and Summarization
- Advanced Adaptive Filtering Techniques
- Underwater Vehicles and Communication Systems
- Software System Performance and Reliability
- Indoor and Outdoor Localization Technologies
- Advanced Clustering Algorithms Research
- Video Surveillance and Tracking Methods
- Recommender Systems and Techniques
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
Sun Yat-sen University
2013-2017
SYSU-CMU International Joint Research Institute
2015-2016
Advanced Digital Sciences Center
2015
Digital Science (United States)
2015
In a data stream management system (DSMS), users register continuous queries, and receive result updates as arrive expire. We focus on applications with real-time constraints, in which the user must each update within given period after occurs. To handle fast data, DSMS is commonly placed top of cloud infrastructure. Because properties such arrival rates can fluctuate unpredictably, resources be dynamically provisioned scheduled accordingly to ensure response. It essential, for existing...
In a stream data analytics system, input arrive continuously and trigger the processing updating of results. We focus on applications with real-time constraints, in which, any unit must be completely processed within given time duration. To handle fast data, it is common to place system top cloud infrastructure. Because properties, such as arrival rates can fluctuate unpredictably, resources dynamically provisioned scheduled accordingly ensure responses. It essential, for existing systems or...
A cloud-based data stream management system (DSMS) handles fast by utilizing the massively parallel processing capabilities of underlying platform. An important property such a DSMS is elasticity, meaning that nodes can be dynamically added to or removed from an application match latter's workload, which may fluctuate in unpredictable manner. For involving stateful operations as aggregates, addition / removal necessitates migration operator states. Although importance has been recognized...
The emergence of the cloud computing paradigm has greatly enabled innovative service models, such as Platform a Service (PaaS), and distributed frameworks, Map Reduce. However, most existing systems fail to distinguish users with different preferences, or jobs natures. Consequently, they are unable provide differentiation, leading inefficient allocations resources. Moreover, contentions on resources exacerbate this inefficiency, when prioritizing crucial is necessary, but impossible....
In a data stream management system (DSMS), users register continuous queries, and receive result updates as arrive expire. We focus on applications with real-time constraints, in which the user must each update within given period after occurs. To handle fast data, DSMS is commonly placed top of cloud infrastructure. Because properties such arrival rates can fluctuate unpredictably, resources be dynamically provisioned scheduled accordingly to ensure response. It quite essential, for...
We present LiveTraj, a novel system for tracking trajectories in live video stream real time, backed by cloud platform. Although trajectory is well-studied topic computer vision, so far most attention has been devoted to improving the accuracy of tracking, rather than efficiency. To our knowledge, LiveTraj first that achieves real-time efficiency which can be key enabler many important applications such as surveillance, action recognition and robotics. based on state-of-the-art approach...
In 6G networks, applying native AI/ML techniques to user signal quality data obtain high-precision location estimation is a typical application scenario. Recent advanced using global positioning system (GPS) and traditional received strength-based localization approaches are model-based. However, their accuracy decreases under the influence of non-line-of-sight (NLoS) reception multipath fading channel, which leads demand for data-oriented strength indicator (RSSI) obtained from surrounding...
With the development of IT infrastructures, applications and systems generate a tsunami data that keeps growing. Traditional management solutions can't keep up with volume complexity. Artificial intelligence for operations (AIOps) is an extremely effective method could simplify accelerate & automate problem resolution in complex modern environments. Alarm root cause location important scenario key function AIOps. At present, relevant research work mainly focuses on association mining...