Chen Wang

ORCID: 0000-0002-9948-8370
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About
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Research Areas
  • QoS-Aware Web Services Composition and Semantic Matching
  • Autonomic Computing and Self-Adaptive Systems
  • Semantic Web and Ontology Development
  • Cloud Computing and Big Data Technologies
  • Log Analysis and System Performance Diagnosis
  • Workflow Mining and Business Process Management
  • Distributed Grid Computing Systems
  • Internet of Things and Edge Computing
  • Anomaly Detection in High-Dimensional Data
  • Data Stream Management Systems and Techniques
  • Management and Reproducibility of Scientific Workflows
  • Lexicography and Dictionary Development
  • Collaborative Networks in Manufacturing and Organizations
  • Vocabulary Acquisition in Second Language Learning
  • Network Intrusion Detection and Defense Mechanisms
  • Distributed Fault Tolerance and Consistency in Systems
  • Statistical Machine Translation and Natural Language Processing
  • Paramyxovirus Infections and Epidemiology
  • Machine Learning for Internet Traffic Classification
  • Distributed Storage Systems and Network Coding
  • Spatial Data Mining and Cloud Model Applications
  • Application of Genetic Programming in Machine Learning
  • Agile Software Development in Software Engineering
  • Integration and Standardization of Power System Data
  • Application of Fuzzy Logic in Educational Assessment

National Institute of Water and Atmospheric Research
2021-2024

Crown Research Institutes
2024

China Academy of Engineering Physics
2023

Shenyang Institute of Automation
2022

Chinese Academy of Sciences
2022

Victoria University of Wellington
2012-2021

Software (Spain)
2020

Sichuan University
2015

IBM Research (China)
2014

China Earthquake Administration
2011-2014

This paper is based on the theory of Finite State Automata (FSA's), models a web service as FSA, extends WSDL for conceptually describing behaviors Web services, and introduces concept Temporal Logic Actions (short TLA) to describe specify behavior in formal way.

10.1109/wi.2007.50 article EN IEEE/WIC/ACM International Conference on Web Intelligence (WI'04) 2007-11-01

In the era of Internet Things (IoT), increasing numbers applications face challenge using current data management systems to manage massive volume operational gener-ated by sensors and devices. Databases based on time series model, like PI Server, are developed handle such with technology (OT) characteristics (high volume, long lifecycle, simple format). However, while achieving excellent write performance, these database provide limited query capabilities. this paper, we present...

10.1145/2588555.2595638 article EN 2014-06-18

A Service-Based Application (SBA) is built by defining a workflow that composes and coordinates different Web services available via the Internet. In context of on-demand SBA execution, suitable are selected integrated at runtime to meet non-functional requirements (such as price execution time). such dynamic distributed environment, an important issue guarantee end-to-end Quality Service (QoS). As consequence, provider required monitor each running instance, analyze its states, then...

10.1109/scc.2012.26 preprint EN 2012-06-01

In the domain of Service-Oriented Architecture, web services are selected and composed to meet users' functional non-functional requirements. A few researchers have proposed Evolutionary Computation (EC) techniques for service composition problems, where semantic matchmaking quality Quality Service (QoS) individually or jointly optimised. However, these EC-based approaches allow best individuals (i.e., solutions) be carried across generations, but does not consider knowledge promising...

10.1145/3205651.3205734 article EN Proceedings of the Genetic and Evolutionary Computation Conference Companion 2018-07-06

Web services are basic functions of a software system to support the concept service-oriented architecture. They often composed together provide added values, known as web service composition. Researchers employ Evolutionary Computation techniques efficiently construct composite with near-optimized functional quality (i.e., Quality Semantic Matchmaking) or non-functional Service) both due complexity this problem. With significant increase in composition requests, many requests have similar...

10.1109/cec.2019.8790085 preprint EN 2022 IEEE Congress on Evolutionary Computation (CEC) 2019-06-01

Web service composition composes existing services to accommodate users' requests for required functionalities with the best possible quality of (QoS). Due computational complexity this problem, evolutionary computation (EC) techniques have been employed efficiently find composite near-optimal functional (i.e., semantic matchmaking, QoSM short) or nonfunctional QoS) each request individually. With a rapid increase in from growing number users, solving one at time can hardly meet efficiency...

10.1109/tevc.2022.3170899 article EN IEEE Transactions on Evolutionary Computation 2022-04-29

Web service composition aims to provide added values by loosely coupling web services accommodate users' complex requirements. Evolutionary computation techniques have been used efficiently find near-optimal composite satisfy requirements reasonably well. Often, the quality of a is measured two important criteria that are related non-functional (i.e., Quality service, QoS for short) and function semantic matchmaking, QoSM short). One recent work [2] proposed Hybrid method combines NSGA-II...

10.1145/3319619.3321937 article EN Proceedings of the Genetic and Evolutionary Computation Conference Companion 2019-07-10

Web services are basic functions of a software system to support the concept service-oriented architecture. They often composed together provide added values, known as web service composition. Researchers employ Evolutionary Computation techniques efficiently construct composite with near-optimized functional quality (i.e., Quality Semantic Matchmaking) or non-functional Service) both due complexity this problem. With significant increase in composition requests, many requests have similar...

10.48550/arxiv.1902.06370 preprint EN other-oa arXiv (Cornell University) 2019-01-01

Cloud computing enables enormous computational resources to be scheduled as parallel workflow applications. Most traditional heuristics can only solve one particular scheduling problem. For example, Heterogeneous Earliest Finish Time (HEFT) and Greedy algorithms allocate given ordered list of tasks using a specific single heuristic, which caters for problem, e.g. the fixed number in available resources. Many researchers considered heterogeneous workflows cloud order minimize cost makespan,...

10.1109/cec.2019.8789896 article EN 2022 IEEE Congress on Evolutionary Computation (CEC) 2019-06-01

Orchestration and choreography are two perspectives to model service interactions in executing a composition. Compared orchestration model, can improve the performances scalability, throughput execution time by eliminating centralized point of coordination. However, it also brings additional complexities challenges such as inter-organizational coordination, fault-tolerance etc. In this paper, we propose self-managed self-adaptive models, namely semi-choreography auto-choreography. Both...

10.1109/ccgrid.2013.51 preprint EN 2013-05-01

Comprehensive quality-aware automated semantic web service composition is an NP-hard problem, where workflows are unknown, and comprehensive quality, i.e., Quality of services (QoS) matchmaking (QoSM) simultaneously optimized. The objective this problem to find a solution with optimized or near-optimized overall QoS QoSM within polynomial time over request. In paper, we proposed novel memetic EDA-based approaches tackle problem. method investigates the effectiveness several neighborhood...

10.1109/tevc.2021.3127633 article EN IEEE Transactions on Evolutionary Computation 2021-11-13

Social video anomaly is an observation in streams that does not conform to a common pattern of dataset's behaviour. detection plays critical role applications from e-commerce e-learning. Traditionally, techniques are applied find anomalies broadcasting. However, they neglect the live social which contain interactive talk, speech, or lecture with audience. In this paper, we propose generic framework for effectively online detecting Anomalies Over Video LIve Streaming (AOVLIS). Specifically,...

10.48550/arxiv.2401.08615 preprint EN other-oa arXiv (Cornell University) 2024-01-01

Estimating power consumption in modern Cloud environments is essential for carbon quantification toward green computing. Specifically, it important to properly account the consumed by each of running applications, which are packaged as containers. This paper examines multiple challenges associated with this goal. The first challenge that customers sharing same hardware platform (multi-tenancy), where information on physical servers mostly obscured. second overhead control plane induces....

10.48550/arxiv.2407.00878 preprint EN arXiv (Cornell University) 2024-04-09

10.1109/saner60148.2024.00109 article EN 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) 2024-03-12
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