Shiow-yang Wu's Research Activities

The goal of our research is to build highly responsive intelligent information systems to provide pervasive information services all the time, everywhere, on all varieties of data. The main research areas include data & knowledge base systems for information management, cloud computing and big data systems for high availability and scalability, mobile & pervasive computing for pervasive access, parallel & distributed processing for effective and real-time performance, artificial intelligence techniques for intelligent responses. We have identified key enabling technologies among these fields as the building blocks for our research goal. In particular, mobile and cloud data management, big data analytics, dynamic coordination techniques, service oriented architecture, as well as the universal access and personalization technologies are the foundations for providing advanced and ubiquitous information services to clients all the time, everywhere, by any means. Mobile data management, mobile cloud services, big data mining, RFID data management middleware, cross enterprise ECommerce and personalized information services are selected as the main application domains for experimenting our ideas.

Current Research

	Mobile Data Management (1998 ~ now)
	Mobile Cloud Services (2013 ~ now)
	Big Data Analytics (2013 ~ now)
	RFID Data Management Middleware (2006 ~ now)
	Service Computing and ECommerce Applications (2000 ~ now)
	Mobile Sensor Networks (2003 ~ now)

Past Research

	Universal Access and Personalized Services (2001 ~ 2006)
	Active Replication Scheme for Mobile Information Management (1997 ~ 1999)
	Active Database Systems for Adaptive Mobile Computing (1996 ~ 1998)
	Intelligent Agent Systems for Consumer-Oriented Electronic Commerce (1997 ~ 1998)
	Intelligent Tutoring Systems for Computer Aided Learning in Mobile Environments (1996 ~ 1997)
	Decomposition Abstraction in Parallel Rule Languages (1993 ~ 1996)

Mobile Data Management (1998 ~ now)

Research Abstract

With the proliferation of portable devices and wireless communication technologies, providing quality and timely information services in mobile environments has been a major challenge to both hardware vendors and information system designers. We select several key technologies as our primary research agenda which is expected to form the basis for a truly ubiquitous world. We classify mobile information service domains based on feature characteristics of the information sources and different patterns of mobile information access. By carefully examining the service requirements, we identify the dynamic data management problem that must be addressed for effective information services in mobile environments. We then devise service architectures and cost models for servicing both location independent and location dependent data. Based on the architectures and cost models, we propose dynamic data management strategies to reduce service cost and improve response time under changing user mobility and access patterns. Detail behavior mining and pattern analysis helps us in precisely capturing when and how to apply these strategies. Simulation results suggest that different strategies are effective for different types of data in response to different patterns of movement and information access.

Research Topics

Activity-based proactive data management
Headlight prefetching and P2P media streaming in mobile environments
Active replication
Location based services
Intelligent adaptation

Publications

Shiow-yang Wu and Cheng-en He. QoS-Aware Dynamic Adaptation for Cooperative Media Streaming in Mobile Environments. IEEE Transactions on Parallel and Distributed Systems, 22(3):439-450, Mar 2011. (SCI, 2011 IF=1.575) DOI: http://doi.ieeecomputersociety.org/10.1109/TPDS.2010.81
Shiow-yang Wu and Hsiu-Hao Fan. Activity-Based Proactive Data Management in Mobile Environments. IEEE Transactions on Mobile Computing, 9(3):390-404, Mar 2010. (SCI, 2010 IF=2.647)
Wu, Shiow-yang, Jungchu Hsu and Chieh-ming Chen. Headlight Prefetching and Dynamic Chaining for Cooperative Media Streaming in Mobile Environments. IEEE Transactions on Mobile Computing, 8(2):173-187, Feb 2009. (SCI)
Wu, Shiow-yang and Shih-Chien Chou. Preventing Information Leakage in Mobile Applications with Object-Oriented Access Control Lists and Security Monitor Encapsulation. Journal of Information Science and Engineering, accepted for publication, 2009. (SCI)
Wu, Shiow-yang, Chun-Shun Chang, Shih-Hsun Ho and Hung-Shun Chao. Rule-Based Intelligent Adaptation in Mobile Information Systems. Expert Systems with Applications 34(2):1078-1092, 2008. (SCI)
Wu, Shiow-yang and Yu-tse Chang. A User-Centered Approach to Active Replica Management in Mobile Environments. IEEE Transactions on Mobile Computing 5(11):1606-1619, Nov. 2006. (SCI)
Wu, Shiow-yang and Kun-Ta Wu. Effective Location Based Services with Dynamic Data Management in Mobile Environments. Wireless Networks 23(3):369-381, June 2006. (SCI)

Wu, Shiow-yang, Jungchu Hsu and Chieh-Ming Chen. Headlight Prefetching for Mobile Media Streaming. MobiDE 2007: 6th International ACM Workshop on Data Engineering for Wireless and Mobile Access, Beijing, China, June 10th, 2007.
Wu, Shiow-yang and Wai-chun Ko. Location Based Access to Moving Data Sources. PDCS2004: 17th International Conference on Parallel and Distributed Computing Systems, San Francisco, CA, USA, September 15-17, 2004.
Wu, Shiow-yang and Kun-Ta Wu. Dynamic Data Management for Location Based Services in Mobile Environments. IDEAS2003: The 7th International Database Engineering and Application Symposium, pages 180-189, Hong Kong, July 16-18, 2003.
Wu, Shiow-yang and H.S.Cinatit Chao. Event Engine for Adaptive Mobile Computing. MDM'2001: Second International Conference on Mobile Data Management, pages 27-38, Hong Kong, January 8-10, 2001. Also in Kian-Lee Tan and Michael J. Franklin and John Chi-Shing Lui (Eds.) Mobile Data Management, LNCS 1987, pages 27-38, Springer-Verlag, 2001.

References

何承恩. 行動環境中之服務品質感知動態探照燈式預取及可調適點對點串流媒體服務. 國立東華大學資訊工程研究所碩士論文. 2008.
黃盈仁. 摘要資訊交換，有向性查詢導引暨主動式資料傳播之行動資料管理技術. 國立東華大學資訊工程研究所碩士論文. 2007.
徐榮助. 在行動環境中支援探照燈式預取與點對點串流媒體之有效策略. 國立東華大學資訊工程研究所碩士論文. 2006.
范修豪. 行動環境中使用者活動探勘與動態資料管理. 國立東華大學資訊工程研究所碩士論文. 2006.
陳建鳴. 行動環境中點對點串流媒體之預取與資料管理. 國立東華大學資訊工程研究所碩士論文. 2005.
柯維中. 針對可移動資料源提供位置關聯式擷取之行動代理人與動態資料管理策略. 國立東華大學資訊工程研究所碩士論文. 2002.
吳坤達. 位置關聯服務之動態資料管理策略. 國立東華大學資訊工程研究所碩士論文. 2001.
李青松. 以使用者側寫、文件結構及伺服器端提示為基礎之行動網際網路資訊預取. 國立東華大學資訊工程研究所碩士論文. 2000.
趙弘舜. 支援調適性行動計算之事件引擎. 國立東華大學資訊工程研究所碩士論文. 1999.
黃光遠. 以代理人為仲介之行動資訊傳播技術. 國立東華大學資訊工程研究所碩士論文. 1999.
張宇策. 支援行動資訊管理之主動式資料複製演算法. 國立東華大學資訊工程研究所碩士論文. 1998.

Mobile Cloud Services (2013 ~ now)

Research Abstract

With the rapid development of hand-held devices/mobile computing technologies and the fast emerging cloud computing environments, the integration of mobile and cloud services is becoming the most promising trend in the coming years. From a recent report by Gartner, cloud computing, mobile-centric applications and interface, as well as media tablets are listed among the Top 10 Strategic Technologies. The forecast by IDC also indicates that mobile, cloud, and social networking are becoming the main stream in world IT market. ARCchart even predicts that by 2015, mobile generated contents will take up to 9,400PB (petabytes) of the cloud storage space. The common theme of these forecasts and predictions all point out the importance and high market potential of mobile cloud computing. However, the integration of the two technologies is far from straightforward. The CPU, memory, screen and other resources on mobile devices are relatively poor in comparison with their desktop counterparts. They are unlikely to be able to host all variety of cloud services smoothly. Another intrinsic characteristic of mobile networking is the intermittent disconnection and the need for disconnected operations. This is clearly against the always-on requirement of cloud services. It is therefore necessary to develop highly flexible mobile cloud service architecture and service management technologies to dynamically partition and seamless integrate the services among cloud, base stations and mobile devices. In particular, elastic service migration and seamless integration mechanisms are crucial for any high quality mobile cloud service platform. The goal of our research is to develop an elastic framework for highly dynamic service provisioning in mobile cloud environments. Service developers only need to provide necessary components for device-side mobile service interface and cloud-side service content, the framework provides automatic service compilation, multi-platform service generation and service deployment on different environments. End service users can smoothly access mobile cloud services by employing all available resources on all possible platforms including cloud data centers, base station servers, client devices, and even peer devices. More specifically, the main research topics include:

Elastic framework for mobile cloud services: To extend the cloud services for executing on multiple environments and platforms. To empower mobile applications for easy access to cloud resources. To smoothly integrate mobile and cloud resources for seamless provisioning of mobile cloud services.
Development model and environment for dynamic mobile cloud services: To provide development model, programming interface, service library, and development environment for auto-compilation, multi-platform service generation and service deployment on different environments.
Dynamic service partitioning, downloading and coordination: This is to enable dynamic partitioning of a mobile cloud service among different entities of the service architecture based on user environment and service status. When the mobile connection is good and steady, we can leave most of the service in the cloud or server side. When the wireless bandwidth goes down or to deal with user mobility, we may need to download more service components on local store/base station servers or directly on the mobile device. The partitioned service components must be able to communicate and integration transparently and smoothly to provide the full service.
Elastic service migration and service prefetching: The partitioned service components must be downloaded to designated site or device. An ongoing service must be able to migrate to new location together with the movement of the user to maintain continuous service. The mobile cloud service framework must provide elastic support for the traveling of service components. This calls for reliable techniques for service state recording, service data packaging, service parameters transferring, service environment adjustment and the service continuation. In addition to on-demand service migration, we also plan to provide predictive service prefetching based on user behavior mining of service invocation patterns, data access patterns and location movement patterns.
Dynamic grouping and group management services: A particularly interesting type of services in mobile cloud environment is dynamic grouping and group management services. This is to dynamically form entity groups with common interests or based on some proximity properties. We are developing user-based P2P, base station coordinated, and cloud-based algorithms for group formation as well as group management services.

With the seamless mobile cloud service environment, mobile users are no longer limited by their devices, networks and environments. Quality cloud services should be accessible to all users anytime everywhere. We use the idea of personal information management and the problem of spatial/temporal continuous media service as our test domains for technology validation and performance evaluation.

Research Topics

Elastic framework for mobile cloud services
Development model and environment for dynamic mobile cloud services
Dynamic service partitioning, downloading and coordination
Elastic service migration and service prefetching
Seamless mobile cloud media streaming services
P2P group formation
Base station coordinated dynamic grouping
Dynamic group condition setting and target formation

Publications

Kuo-chu Wu, Wei-y Liu, Shiow-yang Wu. Development Model and Environment for Dynamic Mobile Cloud Services. APCloudCC 2012: IEEE Asia Pacific Cloud Computing Congress, 2012.

References

林峻暉. 行動雲端計算環境中支援彈性服務執行之模組佈置最佳化研究. 國立東華大學資訊工程研究所碩士論文. 2014.
黃厚淇. 行動雲端計算環境中服務模組之彈性執行與動態遷徙研究. 國立東華大學資訊工程研究所碩士論文. 2014.
劉韋驛. 動態行動雲端服務的彈性執行架構與開發模式. 國立東華大學資訊工程研究所碩士論文. 2013.
翁茂峰. 基地台間點對點合作式群組形成與動態管理服務. 國立東華大學資訊工程研究所碩士論文. 2013.
張盈均. 行動環境中之動態點對點群組形成與團購管理. 國立東華大學資訊工程研究所碩士論文. 2013.
張欽天. 行動環境中動態團購條件制訂與標的形成. 國立東華大學資訊工程研究所碩士論文. 2013.

Big Data Analytics (2013 ~ now)

Research Topics

Distributed algorithms for sequential pattern mining with MapReduce and Spark
Distributed algorithms for incremental mining of sequential patterns with MapReduce and Spark
Group assignment algorithms with MapReduce and Hama

Publications

Yen-Hui Lian and Shiow-yang Wu. Prefix Extending: A Scalable and Efficient Algorithm of Frequent Sequential Pattern Mining Based on MapReduce Framework. Submitted for publication, 2015.

References

林緯恩. 基於Apache Hama之動態群組形成演算法研究. 國立東華大學資訊工程研究所碩士論文. 2014.

黃安德. 基於Hadoop的動態群組形成之集中式和MapReduce演算法研究. 國立東華大學資訊工程研究所碩士論文. 2013.

RFID Data Management Middleware (2006 ~ now)

Research Topics

RFID data modeling

Dynamic Aggregate (DA) for QoS-aware elastic processing of distributed RFID data streams

Complex event processing for RFID data streams

RFID data management for smart home

Context-aware processing for smart home

Publications

Wen-sheng Chen, Ying-Jun Chen and Shiow-yang Wu. Dynamic Aggregate: An Elastic Framework for QoS-aware Distributed Processing of RFID Data on Enterprise Hierarchy. IEEE Transactions on Parallel and Distributed Systems, 25(7):1724-1734, July 2014. (SCI, 2013 IF=1.796)

References

陳文盛. QoS-aware Dynamic Aggregation and Application-centered Event Processing for RFID Data Management (基於服務品質感知動態整合與應用導向事件處理之RFID資料管理研究). 國立東華大學資訊工程研究所博士論文. 2015.

周信嶢. 以三層式Tuple Space架構為基礎之情境感知處理機制與智慧家居應用. 國立東華大學資訊工程研究所碩士論文. 2015.

林冠良. 針對RFID包含關係與趨勢樣式偵測之複雜事件處理. 國立東華大學資訊工程研究所碩士論文. 2012.

陳盈君. RFID資料之階層式組織、服務品質感知動態整合與分散式查詢處理. 國立東華大學資訊工程研究所碩士論文. 2008.

李孟哲. RFID查詢語言設計與空間時間資料之有效管理. 國立東華大學資訊工程研究所碩士論文. 2007.

Service Computing and ECommerce Applications (2000 ~ now)

Research Topics

Service architecture

Dynamic service composition

QoS aware service composition and workflow replanning

Dynamic AHP for dynamic decision making

Publications

Yun-Ning Liu and Shiow-yang Wu. Using Normalization and AHP for Improving Supplier Selection Process in Steel Bars Industry. e-CASE & e-Tech 2013: International Conference on e-Commerce, e-Administration, e-Society, e-Education, and e-Technology, Kitakyushu, Japan, April 3-5, 2013.

Chi-Ming Ma, Tai-Jung Wu, Shiow-yang Wu. A Rule-based Approach for Dynamic Adaptation of Service Flow. SOCA 2012: 5th IEEE International Conference on Service-Oriented Computing and Applications, 2012.

吳秀陽、謝至斌，以XML與動態代理人為基礎之跨企業電子商務架構與交易處理，《電子商務學報》，10(1):27-61，Mar. 2008。(TSSCI)

沈惟嘉、馬啟銘、吳秀陽. 服務關聯性導向之服務品質計算與網路服務組合. NCS 2007: National Computer Symposium, 全國計算機會議, 2007. (Web Services and Service Oriented Architecture 組佳作)

Wu, Shiow-yang and Kuo-Chang Lin. Cross Enterprise Business Modeling with AC Diagrams and Workflow Patterns. IEEE CEC 2005: 7th International IEEE Conference on E-Commerce Technology, Munich, Germany, July 19-22, 2005. NSC93-2213-E-259-012

謝至斌, 吳秀陽. 基於XML與動態代理人技術之跨企業電子商務交易系統. NCS2005: 2005年全國計算機會議(National Computer Symposium), Dec 15-16, 2005. NSC91-2213-E-259-017

References

沈惟嘉. 以關聯性服務為基礎之QoS計算與網路服務組合. 國立東華大學資訊工程研究所碩士論文. 2006.

吳岱融. 以ECA法則為基礎之跨企業工作流動態重劃. 國立東華大學資訊工程研究所碩士論文. 2006.

林俊豪. XML交易式網路服務之分析切割與分散執行. 國立東華大學資訊工程研究所碩士論文. 2004.

謝至斌. 基於動態代理人技術之跨企業交易系統. 國立東華大學資訊工程研究所碩士論文. 2003.

林國漳. 以 XML 為基礎之跨企業工作流樣板，程序模式化與商務活動管理. 國立東華大學資訊工程研究所碩士論文. 2002.

Mobile Sensor Networks (2003 ~ now)

Research Topics

Mobile sensor network

Self-organization strategies for dynamic context coverage

Mobing target tracking in mobile sensor network

Dynamic data aggregation in mobile sensor network

Publications

Wu, Shiow-yang, Chao-Hong Liu and Chen-Kuang Tzeng. Self-organization Strategies for Dynamic Context Coverage in Capability-Constrained Mobile Sensor Networks. IEEE SUTC 2006: The IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing, Taichung, Taiwan, June 5-7, 2006.

References

鄭世偉. 行動感測網路中目標位置動態預測機率模型與多重目標追蹤監控. 國立東華大學資訊工程研究所碩士論文. 2014.

Sambou Dibba. Opportunistic Data Aggregation by Distance Counting for Moving Target Tracking in Mobile Sensor Network. 國立東華大學資訊工程研究所碩士論文. 2012.

杜佩樺. 行動感測網路中多重目標監控之團隊合作式追蹤策略. 國立東華大學資訊工程研究所碩士論文. 2011.

朱振伸. 行動感測網路中多重目標監控之協同換班、追蹤與資料整合策略. 國立東華大學資訊工程研究所碩士論文. 2010.

沈岳德. 在行動感測器網路下針對移動物件監控之合作式巡守、目標追蹤及動態互助策略. 國立東華大學資訊工程研究所碩士論文. 2009.

曾晨光. Self-organization Strategies for Dynamic Power Management in Heterogeneous Mobile Sensor Networks. 國立東華大學資訊工程研究所碩士論文. 2005.

劉昭宏. Self-organization Strategies for Dynamic Context Coverage Problem in Heterogeneous Mobile Sensor Networks. 國立東華大學資訊工程研究所碩士論文. 2005.

Universal Access and Personalized Services (2001 ~ 2006)

Research Topics

Activity-based personalized search

Dynamic transcoding for universal access

Publications

Wu, Shiow-yang and Jun-Hsong Huang. Focus Based Resource-Aware Semantic Transcoding for Universal Access. Journal of Internet Technologies 7(4), Oct. 2006. (EI)

黃俊雄, 吳秀陽. 支援通用存取之使用者意向聚焦與資源感知語意轉形. TAAI2005: 第十屆人工智慧與應用研討會(The 10th Conference on Artificial Intelligence and Applications), Dec 2-3, 2005. NCS92-2213-E-259-010 NCS93-2213-E-259-012

Wu, Shiow-yang and Wen-Shen Chen. Oral-Query-by-Sketch: An XML-based Framework for Speech Access to Image Databases. VDB6: The 6th IFIP Working Conference on Visual Database Systems, pages 341-355, Brisbane, Australia, 29-31 May 2002.

References

趙金宏. 以本體論為基礎之使用者喜好萃取、隱私權控管與側寫建構. 國立東華大學資訊工程研究所碩士論文. 2007.

曾信誠. 以本體論為基礎之使用者喜好萃取、隱私權控管與側寫建構. 國立東華大學資訊工程研究所碩士論文. 2004.

洪奕璿. 採用本體論推理之使用者意向萃取、查詢擴充與概念式擷取. 國立東華大學資訊工程研究所碩士論文. 2004.

蔣君儀. 支援通用存取及個人化之調適性呈現架構. 國立東華大學資訊工程研究所碩士論文. 2003.

徐淑華. 以本體論為基礎之語意註解編寫與存取. 國立東華大學資訊工程研究所碩士論文. 2003.

黃俊雄. 支援通用存取之使用者意向聚焦與資源感知語意轉形. 國立東華大學資訊工程研究所碩士論文. 2003.

孫承鴻. 以XML為基礎在無線網路下之個人化資訊服務. 國立東華大學資訊工程研究所碩士論文. 2000.

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