A5025120488- Cloud Computing and Resource Management
- Transportation Planning and Optimization
- IoT and Edge/Fog Computing
- Urban and Freight Transport Logistics
- Urban Transport and Accessibility
- Caching and Content Delivery
- Opportunistic and Delay-Tolerant Networks
- Big Data Technologies and Applications
- Transportation and Mobility Innovations
- Marine animal studies overview
- Traffic Prediction and Management Techniques
- Blockchain Technology Applications and Security
- Marine and fisheries research
- Distributed and Parallel Computing Systems
- Software-Defined Networks and 5G
- Scientific Computing and Data Management
- Aviation Industry Analysis and Trends
Fudan University
2019-2022
Beijing University of Technology
2017-2021
CCCC Highway Consultants (China)
2020-2021
The deployment of datasets in the heterogeneous edge-cloud computing paradigm has received increasing attention state-of-the-art research. However, due to their large sizes and existence private scientific datasets, finding an optimal data placement strategy that can minimize transmission as well improve performance, remains a persistent problem. In this study, advantages both edge cloud are combined construct model works for multiple workflows. Apparently, most difficult research challenge...
In Industry 4.0 and Internet of Things (IoT) environments, the heterogeneous edge-cloud computing paradigm can provide a more proper solution to deploy scientific workflows compared cloud or other traditional distributed computing. Owing different sizes datasets privacy issue concerning some these datasets, it is essential find data placement strategy that minimize transmission time. Some state-of-the-art strategies combine edge distribute datasets. However, dynamic distribution newly...
With the rapid development of big data technology and Internet, requirements human activities for are getting higher higher, increasing volume has a high demand processing. The paradigm Internet Things (IoT) become key component edge-cloud-hybrid systems. In edge environment, multiple IoT-data-intensive services will form service combination. Due to transmission between different components, there is huge delay in process IoT transmission, which affect performance entire system. Therefore,...
This paper aims to fill the research gap of relationship between access travel time (ATT) estimation and accessibility high speed railway (HSR) station. A regression analysis was developed on basis risk-return model analyze error (ATTEE). The data sources were 1595 valid interview survey at Beijing South Railway Station (BSRS), China in October 2016. factors scenarios included mode, departure time, date, etc. coefficients ATT obtained by different modes. results showed that expected (EATT)...
Both of the transportation and public hospital outpatient services are key provided by government, which guarantee safe, healthy worthwhile life for daily living in metropolitan cities such as Beijing Hong Kong. Since citizens usually have to see their medical doctors at appointed time, they should arrive punctually scheduled hospitals. In order find out how people travel hospitals appointments particularly before after bike-sharing system Beijing, two interview surveys with a total 1,047...
With the development of urban catering industry, proportion restaurant freight quantity a city's total volume is rising rapidly. This paper aims to predict by building generation model based on multifactor analysis using data from survey. The survey 116 restaurants in different locations within Fifth Ring Road Beijing, was conducted December 8 12, 2016. considers four factors: number employees, seat density, covered area, and operation times. Freight contains six kinds ingredients:...
With the rapid development of computer network technology in world, hundreds millions computers and mobile devices are continuously create a tremendous amount information, world has been transferred to data centric paradigm -- age big data. In this age, maturity information such as cloud computing, internet so on, for library will bring creative change next few years. After expounding meaning data, article analyses challenges problems faced by service put forward conception system...
The heterogeneous edge-cloud computing paradigm can provide a more optimal direction to deploy scientific workflows than traditional distributed or cloud environments. Due the different sizes of datasets and some these must keep private, it is still difficult problem finding an data placement strategy that minimize transmission as well cost. To address this issue, paper combines advantages both edge construct model, which balance transfer time cost using intelligent computation. most...