3-5 December 2013 Sydney Australia

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1 The Second International Conference on Big Data Science and Engineering (BDSE2013) The Sixteenth International Conference on Computational Science and Engineering (CSE2013) The Thirteenth IEEE International Conference on Computer and Information Technology (CIT2013) The Tenth International Conference on Embedded Software and Systems(ICESS2013) 3-5 December 2013 Sydney Australia Organised by Lab for Cloud Computing and Distributed Systems University of Technology Sydney, Australia Sponsored by IEEE and IEEE Computer Society IEEE CS Technical Committee on Scalable Computing (TCSC) Supported by School of Systems, Management and Leadership inext: UTS Research Centre for Innovation in IT Services and Applications Joowing Australia Pty Ltd IBM Sydney Australia

2 Table of Contents Program at a Glance Page 1-3 Keynote Speech Page 4-12 Reception on 2 December 2011 Page 13 Sessions and Papers on 3 December 2013 Page Sessions and Papers on 4 December 2013 Page Sessions and Papers on 5 December 2013 Page Conference Committees of BDSE2013 Page Conference Committees of CSE2013 Page Conference Committees of CIT2013 Page Conference Committees of ICESS2013 Page Conference Venue Maps Page 37 Notes: Paper presentation time slot: 20 minutes Keynote time slot: 60 min Poster: through the whole conference period Presentation facilities: provided by the conference venue Wireless Internet: provided by the conference venue UTS Security: dial 6 from any internal phones, or from your mobile

3 Program at a Glance Monday 2 December :00-18:00 Pre-Registration (Level 4, CB02 Building 2) 18:00-20:00 Welcome Reception (Essen Restaurant, address: Broadway, Ultimo NSW 2007) 08:00-18:00 08:50-09:00 09:00-10:00 10:00-11:00 11:00-11:30 11:30-13:00 13:00-14:00 14:00-15:00 15:00-15:30 15:30-18:00 Tuesday 3 December 2013 Registration (Level 4, CB02 Building 2) Opening and Welcome (CB ) A/Prof Jinjun Chen, University of Technology Sydney, Australia Keynote Address 1: (CB ) Speaker: Prof. Albert Zomaya Title: Adaptable Resource Allocation in Cloud Computing Systems Chair: Prof. Andrzej Goscinski Keynote Address 2: (CB ) Speaker: Prof. Mark Sanderson Title: Twenty years of web search where to next? Chair: A/Prof. Jinjun Chen Morning Tea (Level 4, CB02 Building 2) Session 1A: BDSE2013 (CB ) Session 1B: CSE2013 (CB ) Lunch (Level 4, CB02 Building 2) Session 1C: CIT2013 (CB ) Session 1D: ICESS2013 (CB ) Session 1E: MR.BDI2013 (CB ) Keynote Address 3: (CB ) Speaker: Prof. Zhizhang Chen Title: Can We Unify Numerical Methods with a Single Mathematical Framework? Chair: Dr. Bahman Javadi Afternoon Tea (Level 4, CB02 Building 2) Session 2A: BDSE2013 (CB ) Sessionir: TBD (TBD, TBD) Session 2B: CSE2013 (CB ) Session 2C: CIT2013 (CB ) Session 2D: ICESS2013 (CB ) Session 2E: BDSE2013 (CB ) 1

4 08:00-18:00 09:00-10:00 10:00-11:00 11:00-11:30 11:30-13:00 13:00-14:00 14:00-15:00 15:00-15:30 15:30-18:00 19:00-22:30 Wednesday 4 December 2013 Registration (Level 4, CB02 Building 2) Keynote Address 4: (CB ) Speaker: Prof. Ivan Stojmenovic Title: Big data in social networks Chair: Dr. Young Choon Lee Keynote Address 5: (CB ) Speaker: Prof. Laurence T. Yang Title: A Data-as-a-Service Framework for Cyber-Physical-Social Big Data Chair: Shui Yu Morning Tea (Level 4, CB02 Building 2) Session 3A: BDSE2013 (CB ) Session 3B: CSE2013 (CB ) Lunch (Level 4, CB02 Building 2) Session 3C: CIT2013 (CB ) Keynote Address 6: (CB ) Speaker: Prof. Jian Pei Title: Towards Connecting Big Data with Many People Chair: Prof. Ivan Stojmenovic Afternoon Tea (Level 4, CB02 Building 2) Session 4A: BDSE2013 (CB ) Session 4B: CSE2013 (CB ) Session 4C: CIT2013 (CB ) Session 3D: ICESS2013 (CB ) Session 4D: ICESS2013 (CB ) Session 3E: ACIT2013 (CB ) Session 4E: CIT2013 (CB ) Banquet (Cruise dinner. Boarding address: 32 The Promenade, King Street Wharf 5, Sydney, NSW 2000, Australia). NB: We will gather at Level 4, CB02 outside the keynote room at 6:30pm. Then, we walk for the banquet. 2

5 Thursday 5 December :00-18:00 Registration (Level 4, CB02 Building 2) Keynote Address 7: (CB ) 09:00-10:00 Speaker: Prof. Yang Xiang Title: Classifying Big Network Traffic Data: From Theory to Practice Chair: Prof. Laurence T. Yang Keynote Address 8: (CB ) Speaker: Prof. Michael Blumenstein 10:00-11:00 Title: Solving the world's problems through Computational Intelligence - challenges at the frontiers of Pattern Recognition research Chair: A/Prof. Jinjun Chen 11:00-11:30 Morning Tea (Level 4, CB02 Building 2) 11:30-13:00 Session 5A: BDSE2013 (CB ) Session 5B: CSE2013 (CB ) Session 5C: CIT2013 (CB ) Session 5D: ICESS2013 (CB ) Session 5E: ACIT2013 (CB ) 13:00-14:00 Lunch (Level 4, CB02 Building 2) Keynote Address 9: (CB ) 14:00-15:00 Speaker: TBC Title: TBC Chair: TBC 15:00-15:30 Afternoon Tea (Level 4, CB02 Building 2) 15:30-18:00 Session 6A: BDSE2013 (CB ) Session 6B: DCPIS2013 (CB ) Session 6C: CIT2013 (CB ) Session 6D: CIT2013 (CB ) Session 6E: ACIT2013 (CB ) 3

6 Keynote Speech Professor Ivan Stojmenovic University of Ottawa, Canada Big data in social networks Big data deal not only with the size of data but also their complexity. Social network may have data of manageable size, but deriving structural properties and useful information can be challenging and requires new approaches. Further, information gathered from social networks, even with small size data, could be more useful than big data collected from regular operations, and may have profound impact on human behavior. Sources of social big data include mobile crowd-sensing, Facebook, Twitter, YouTube etc. This talk describes a space crossing community detection method to mining social friendship, integrating physical proximity and access point community. We then describe similarity detection and access point spreading based data forwarding scheme which benefits from the novel community structure. Finally, we discuss social cooperation in vehicle social networks. Short Bio: Ivan Stojmenovic received his Ph.D. degree in mathematics. He is Full Professor at the University of Ottawa, Canada. He held or holds regular and visiting positions in Saudi Arabia (Distinguished Adjunct Professor at the King Abdulaziz University, Jeddah), China (Tsinghua University, DUT, Beihang), Serbia, Japan, USA, Canada, France, Mexico, Spain, UK (as Chair in Applied Computing at the University of Birmingham), Hong Kong, Brazil, Taiwan, and Australia. He published over 300 different papers, and edited seven books on wireless, ad hoc, sensor and actuator networks and applied algorithms with Wiley. He is editor-in-chief of IEEE Transactions on Parallel and Distributed Systems (2010-3), and founder and editor-in-chief of three journals. He is Associate Editor-in-Chief of Tsinghua Journal of Science and Technology, steering committee member of IEEE Transactions on Emergent Topics in Computing, and editor of IEEE Network, IEEE Transactions on Cloud Computing, IEEE Transactions on Computers, ACM Wireless Networks and some other journals. Stojmenovic is on Thomson Reuters list of Highly Cited Researchers (from 2013; <300 computer scientist), has h-index 60, top h-index in Canada for mathematics and statistics, and >14000 citations. He received five best paper awards and the Fast Breaking Paper for October 2003, by Thomson ISI ESI. He received the Royal Society Research Merit Award, UK (2006), and Humboldt Research Award, Germany (2012). He is Tsinghua 1000 Plan Distinguished Professor (2012-5). He is Fellow of the IEEE (Communications Society, class 2008), and Canadian Academy of Engineering (since 2012), and Member of the Academia Europaea (The Academy of Europe), from 2012 (section: Informatics). He was IEEE CS Distinguished Visitor and received 2012 Distinguished Service award from IEEE ComSoc Communications Software TC. He received Excellence in Research Award of the University of Ottawa Stojmenovic chaired and/or organized >60 workshops and conferences, and served in >200 program committees. He was program co-chair at IEEE PIMRC 2008, IEEE AINA-07, IEEE MASS-04&07, founded several workshop series, and is/was Workshop Chair at IEEE ICDCS 2013, IEEE INFOCOM 2011, IEEE MASS-09, ACM Mobihoc-07&08. 4

7 Keynote Speech Professor Albert Zomaya Director, Centre for Distributed and High Performance Computing University of Sydney, Australia Adaptable Resource Allocation in Cloud Computing Systems Cloud Computing is among the fastest growing topics in computing research today. Although the idea of offering computational power as a service is not novel, it did not publically become available before Clouds. Clouds are fundamentally different from their predecessors (Grids/Clusters) and thus require specific expertise to be properly utilized. Today, there are literally hundreds of cloud providers in all shapes and sizes. Computing needs (applications) have also become increasingly diverse. In this talk, I will describe challenges with the dynamicity and heterogeneity of resources and the diversity of applications from resource management perspective. Then, I will discuss how we can turn these challenges into opportunities for cloud systems efficiency. Short Bio: Albert Y. ZOMAYA is is currently the Chair Professor of High Performance Computing & Networking and Australian Research Council Professorial Fellow in the School of Information Technologies, The University of Sydney. He is also the Director of the Centre for Distributed and High Performance Computing which was established in late Professor Zomaya is the author/co-author of seven books, more than 400 papers, and the editor of nine books and 11 conference proceedings. He is the Editor in Chief of the IEEE Transactions on Computers and serves as an associate editor for 19 leading journals. Professor Zomaya is the recipient of the Meritorious Service Award (in 2000) and the Golden Core Recognition (in 2006), both from the IEEE Computer Society. Also, he received the IEEE TCPP Outstanding Service Award and the IEEE TCSC Medal for Excellence in Scalable Computing, both in Professor Zomaya is an ACM Distinguished Speaker, a Chartered Engineer, a Fellow of AAAS, IEEE, IET (U.K.), and a Distinguished Engineer of the ACM. 5

8 Keynote Speech Professor Jian Pei Simon Fraser University, Canada Towards Connecting Big Data with Many People Big data has posted grand challenges, and at the same time, has presented grand opportunities for data management and analytics research, development, and applications. In this talk, I will review some of our exciting ongoing research on big data analytics under the central theme of connecting big data with many people by enabling innovative analysis on big data. Particularly, I will present our persistent effort on developing context-aware, on-demand data mining techniques and platforms, and novel data analysis methods. Moreover, I will showcase some of our successful engagements to critical applications, such as healthcare informatics, web search, and network security informatics. Short Bio: Jian Pei is currently a professor at the School of Computing Science at Simon Fraser University, Canada. He received a Ph.D. degree in Computing Science from the same school in 2002, under Dr. Jiawei Han s supervision. His research interests can be summarized as developing effective and efficient data analysis techniques for novel data intensive applications. Particularly, he is currently interested in various techniques of data mining, information retrieval, data warehousing, online analytical processing, and database systems, as well as their applications in social networks, network security informatics, healthcare informatics, business intelligence, and web search. His research outcome has been adopted by industry production systems. He has published prolifically in premier academic venues. His publications have been cited more than 20,000 times. His research has been supported in part by many government agencies, such as Natural Sciences and Engineering Research Council of Canada (NSERC) and the National Science Foundation (NSF) of the United States, and many industry partners, such as Microsoft, Hewlett-Packard Company (HP), IBM Corporation, SAP Business Objects, Pacific Blue Cross, Fortinet, and the Canadian Imperial Bank of Commerce (CIBC). Currently, his priority in research is on developing industry relations and collaboration, and transferring his technologies to industry applications. He is also actively serving the professional communities. He is current the editor-in-chief of IEEE Transactions of Knowledge and Data Engineering, and an associate editor or editorial board member of several premier journals in his areas. He has played key roles in many top academic conferences. He is a director of ACM SIGKDD and an ACM Distinguished Speaker. He received several prestigious awards. 6

9 Keynote Speech Professor Mark Sanderson RMIT University, Australia Twenty years of web search where to next? This year, (2013) marks the 20th anniversary of the first public web search engine JumpStation launched in late For those who were around in those early days, it was becoming clear that an information provision and an information access revolution was on its way; though very few, if any would have predicted the state of the information society we have today. It is perhaps worth reflecting on what has been achieved in the field of information retrieval since these systems were first created, and consider what remains to be accomplished. It is perhaps easy to see the success of systems like Google and ask what else is there to achieve? However, in some ways, Google has it easy. In this talk, I will explain why Web search can be viewed as a relatively easy task and why other forms of search are much harder to perform accurately. Search engines require a great deal of tuning, currently achieved empirically. The tuning carried out depends greatly on the types of queries submitted to a search engine and the types of document collections the queries will search over. It should be possible to study the population of queries and documents and predictively configure a search engine. However, there is little understanding in either the research or practitioner communities on how query and collection properties map to search engine configurations. I will present the some of the early work we have conducted at RMIT to start charting the problems in this particular space. Another crucial challenge for search engine companies is how to ensure that users are delivered the best quality content. There is a growth in systems that recommend content based not only on queries, but also on user context. The problem is that the quality of these systems is highly variable; one way of tackling this problem is gathering context from a wider range of places. I will present some of the possible new approaches to providing that context to search engines. Here diverse social media, and advances in location technologies will be emphasized. Finally, I will describe what I see as one of the more important challenges that face the whole of the information community, namely the penetration of computer systems to virtually every person on the planet and the challenges that such an expansion presents. Short Bio: Professor Mark Sanderson works at the School of Computer Science and Information Technology at RMIT University. He is a researcher in information retrieval (IR) (e.g. web search engines). He is particularly interested in evaluation of search engines, but also works in geographic search, cross language IR (CLIR), summarisation, image retrieval by captions, word sense ambiguity. Professor Sanderson is Associate Editor of ACM Transactions on the Web, IEEE Transactions on Knowledge and Data Engineering, and of Information Processing and Management. He is co-editor of Foundations and Trends in Information Retrieval. He was the general Chair of ACM SIGIR in 2004 and a PC Chair of ACM SIGIR 2009 &

10 Keynote Speech Professor Zhizhang Chen The University of Electronic Science and Technology of China Dalhousie University, Canada Can We Unify Numerical Methods with a Single Mathematical Framework? Science and Engineering Problems are often described by mathematic models for accurate analysis, simulation and design.these mathematic models are usually presented with mathematic equations. However, the equations cannot be simply solved for the most of the time due to irregular boundaries and inhomogeneous materials. The only way is then to employ numerical methods to find approximate solutions and many numerical methods have been and are being developed. They have not been paid much attention to until two decades ago when computing power and memory of modern computers were increased dramatically. Such development of computer technology has led to emerging of an even larger number of numerical methods that confuse users and make understanding of them challenging and difficult. Despite many varieties of the numerical methods that have been developed, we observe that they are essentially seeking approximate solutions in discrete domains. Based on this observation and by using numerical methods that are developed for electromagnetic problems as the examples, I will show the possibility of unifying various numerical methods under a common mathematic framework the method of weighted residuals (MWR). From there, I conclude that although we may appear to have developed or are developing different numerical methods, we are in fact minimizing the weighted residuals of the expanded approximating solutions The presented unifying mathematic framework presents the direction and guidelines in developing new numerical methods that cater to specific types of problems and in formulating a possible universal numerical computing platform. Short Bio: Dr. Chen obtained the B.Eng. degree in Radio Engineering from Fuzhou University of China, the M.A.Sc. degree in Radio Engineering from Southeast University of China, the Ph.D. degree in Electrical Engineering from the University of Ottawa, Canada. He is currently with the University of Electronic Science and Technology of China, on a (sabbatical) leave from the Department of Electrical and Computer Engineering, Dalhousie University of Canada where he presently a Professor and the Department Head. Dr. Chen s main research interest is in the areas of applied electromagnetics, microwave, antennas and wireless technologies and applications. He has published more than 200 refereed journal and conference papers, 26 industrial reports, and holds or applied for 4 patents. He was the recipient of 2005 Nova Scotia Engineering Award, Dalhousie Killam Chair Professorship and 2013 IEEE Canada R.A. Fessenden Medal. Dr. Chen is a Fellow of the Canadian Academy of Engineering and the IEEE. 8

11 Keynote Speech Professor Michael Blumenstein School of Information and Communication Technology Griffith University, Australia Solving the world's problems through Computational Intelligence - challenges at the frontiers of Pattern Recognition research The quest to develop intelligent systems that exhibit the behaviour of their biological counterparts has yielded decades of inspired investigation. Recently, a number of significant outcomes have been proffered in the domain of pattern recognition research, however despite tremendous progress in the field, a number of challenges still remain. These include the inherent difficulties in replicating the biological complexities of the human brain, but also relate to the practical problems of having rapid and convenient access to realworld data, the ability to effectively manipulate, process and classify unknown records, as well as the efficient management of large quantities of categorised information. This presentation explores the groundbreaking developments in the areas of computer vision, automated pattern recognition and artificial intelligence in the context of real-world problems that are underpinned by the need to apply accurate data for training and processing. A number of applications are presented including research into automated document analysis systems (such as video-based text processing, multi-script handwriting recognition and signature verification), in addition to the development of automatic systems for monitoring the activities of visitors at our beaches and coastal zones, as well as technologies for preventing the deterioration and collapse of bridges, and finally software that can be used for the early diagnosis and treatment of such brain disorders as Parkinson's disease. Further discussion is dedicated to the future of pattern recognition systems and possible directions for attaining the goal of conscious machines. Short Bio: Michael Blumenstein is a Professor and Head of the School of Information and Communication Technology at Griffith University, where he previously served as the Dean (Research) in the Science, Environment, Engineering and Technology Group. Michael is a nationally and internationally recognised expert in the areas of automated Pattern Recognition and Artificial Intelligence, and his current research interests include Document Analysis, Multi-Script Handwriting Recognition and Signature Verification. He has published over 132 papers in refereed books, conferences and journals. His research also spans various projects applying Artificial Intelligence to the fields of Engineering, Environmental Science, Neurobiology and Coastal Management. Michael has secured internal/nationally competitive research grants to undertake these projects with funds exceeding AUD$4.3 Million. Components of his research into the predictive assessment of beach conditions have been commercialised for use by local government agencies, coastal management authorities and in commercial applications. Following his achievements in applying Artificial Intelligence to the area of bridge engineering (where he has published widely and has been awarded federal funding), he was invited to serve on the International Association for Bridge and Structural Engineering s Working Commission 6 to advise on matters pertaining to Information Technology. Michael is the first Australian to be elected onto this committee. In addition, he was previously the Chair of the Queensland Branch of the Institute for Electrical and Electronic Engineers (IEEE) Computational Intelligence Society. He is also the Gold Coast Chapter Convener and a Board Member of the Australian Computer Society's Queensland Branch Executive Committee as well as the Chairman of the IT Forum Gold Coast and a Board Member of IT Queensland. Michael currently serves on the Australian Research Council's (ARC) College of Experts on the Engineering, Mathematics and Informatics (EMI) panel. In addition, he has recently been elected onto the Executive of the Australian Council of Deans of Information and Communication Technology (ACDICT). 9

12 Michael also serves on a number of Journal Editorial Boards and has been invited to act as General Chair, Organising Chair, Program Chair and/or Committee member for numerous national/international conferences in his areas of expertise. In 2009 Michael was named as one of Australia s Top 10 Emerging Leaders in Innovation in the Australian s Top 100 Emerging Leaders Series supported by Microsoft. Michael is a Fellow of the Australian Computer Society and a Senior Member of the IEEE. 10

13 Keynote Speech Professor Laurence Yang Huazhong University of Science and Technology, China St Francis Xavier University, Canada A Data-as-a-Service Framework for Cyber-Physical-Social Big Data The booming growth and rapid development in embedded systems, wireless communications, sensing techniques and emerging support for cloud computing and social networks have enabled researchers and practitioners to create a wide variety of Cyber-Physical-Social (CPS) Systems that reason intelligently, act autonomously, and respond to the users needs in a context and situation-aware manner. The CPS systems are the integration of computation, communication and control with the physical world, human knowledge and sociocultural elements. It is a novel emerging computing paradigm and has attracted wide concerns from both industry and academia in recent years. Generally, CPS systems collect massive data (Volume) from the physical world by various physical perception devices (Variety) in structured /semistructured/unstructured format and respond the users requirements immediately (Velocity) and provide the proactive services (Veracity) for them in physical space or social space. These collected big data are normally high dimensional, redundant and noisy, and beyond the processing capacity of the computer systems. This talk will present our latest research about a Data-as-a-Service framework which includes data representation, dimensionality reduction, processing and proactive service layers aiming at representing and processing the big data generated from CPS systems and providing more valued smart services. Corresponding case studies in some applications such as smart home will be shown to demonstrate the feasibility and flexibility of the proposed framework. Short Bio: Dr. Laurence T. Yang is a professor at School of Computer Science and Technology, Huazhong University of Science and Technology, China and Department of Computer Science of St. Francis Xavier University, Canada. His current research includes parallel and distributed computing, embedded and ubiquitous/pervasive computing, Cyber-Physical-Social Systems and Big Data. He has published numerous papers in various refereed journals, conference proceedings and book chapters in the above areas including around 150 international journal papers such as IEEE and ACM Transactions. He has been involved actively in conferences and workshops as a program/general/steering conference chair and numerous conference and workshops as a program committee member. He served as the vice-chair of IEEE Technical Committee of Supercomputing Applications ( ), the chair of IEEE Technical Committee of Scalable Computing ( ), and the chair of IEEE Task force on Ubiquitous Computing and Intelligence (2009-now). He was in the steering committee of IEEE/ACM Supercomputing (SC-XY) conference series ( ), and currently is in the National Resource Allocation Committee (NRAC) of Compute Canada (2009-now). In addition, he is the editors-in-chief of several international journals. He is serving as an editor for many international journals. He has been acting as an author/co-author or an editor/co-editor of more than 25 books from well-known publishers. The book Mobile Intelligence from Wiley 2010 received an Honorable Mention by the American Publishers Awards for Professional and Scholarly Excellence (The PROSE Awards). He has won several Best Paper Awards (including IEEE Best and Outstanding Conference Awards such as the IEEE 20th International Conference on Advanced Information Networking and Applications (IEEE AINA-06), etc); one Best Paper Nomination; Distinguished Achievement Award, 2005, 2011; Canada Foundation for Innovation Award, He has been invited to give around 25 keynote talks at various international conferences and symposia. 11

14 Professor Yang Xiang School of Information Technology Deakin University, Australia Keynote Speech Classifying Big Network Traffic Data: From Theory to Practice With the arrival of Big Data Era, properly utilizing the power of big data is becoming essential for the strength and competitiveness of businesses and organizations. We are facing grand challenges from big data from different perspectives, such as processing, communication, security, and privacy. In this talk, we discuss the challenges in classifying big network traffic data and our solutions to the challenges. The significance of the research lies in the fact that each year the network traffic increase exponentially on the current Internet. Traffic classification has wide applications in network management, from security monitoring to quality of service measurements. Recent research tends to apply machine-learning techniques to flow statistical feature based classification methods. In this talk, we propose a series of novel approaches for traffic classification, which can improve the classification performance effectively by incorporating correlated information into the classification process. We analyze the new classification approaches and their performance benefit from both theoretical and empirical perspectives. Our work has significant impact on wide applications.. Short Bio: Professor Yang Xiang received his PhD in Computer Science from Deakin University, Australia. He is currently a full professor at School of Information Technology, Deakin University. He is the Director of the Network Security and Computing Lab (NSCLab). His research interests include network and system security, distributed systems, and networking. In particular, he is currently leading his team developing active defense systems against large-scale distributed network attacks. He is the Chief Investigator of several projects in network and system security, funded by the Australian Research Council (ARC). He has published more than 130 research papers in many international journals and conferences, such as IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Information Security and Forensics, and IEEE Journal on Selected Areas in Communications. Two of his papers were selected as the featured articles in the April 2009 and the July 2013 issues of IEEE Transactions on Parallel and Distributed Systems. He has published two books, Software Similarity and Classification (Springer) and Dynamic and Advanced Data Mining for Progressing Technological Development (IGI-Global). He has served as the Program/General Chair for many international conferences such as ICA3PP 12/11, IEEE/IFIP EUC 11, IEEE TrustCom 13/11, IEEE HPCC 10/09, IEEE ICPADS 08, NSS 11/10/09/08/07. He has been the PC member for more than 60 international conferences in distributed systems, networking, and security. He serves as the Associate Editor of IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, Security and Communication Networks (Wiley), and the Editor of Journal of Network and Computer Applications. He is the Coordinator, Asia for IEEE Computer Society Technical Committee on Distributed Processing (TCDP). He is a Senior Member of the IEEE. 12

15 BDSE2013/CSE2013/CIT2013/ICESS2013 Program Monday 2 December :00-18:00 Pre-Registration (Level 4, CB02 Building 2) 18:00-20:00 Welcome Reception (Essen Restaurant, address: Broadway, Ultimo NSW 2007) 08:00-18:00 08:50-09:00 09:00-10:00 10:00-11:00 11:00-11:30 11:30-13:00 13:00-14:00 14:00-15:00 15:00-15:30 15:30-18:00 Tuesday 3 December 2013 Registration (Level 4, CB02 Building 2) Opening and Welcome (CB ) A/Prof Jinjun Chen, University of Technology Sydney, Australia Keynote Address 1: (CB ) Speaker: Prof. Albert Zomaya Title: Adaptable Resource Allocation in Cloud Computing Systems Chair: Andrzej Goscinski Keynote Address 2: (CB ) Speaker: Prof. Mark Sanderson Title: Twenty years of web search where to next? Chair: Jinjun Chen Morning Tea (Level 4, CB02 Building 2) Session 1A: BDSE2013 (CB ) Session 1B: CSE2013 (CB ) Lunch (Level 4, CB02 Building 2) Session 1C: CIT2013 (CB ) Session 1D: ICESS2013 (CB ) Session 1E: MR.BDI2013 (CB ) Keynote Address 3: (CB ) Speaker: Prof. Zhizhang Chen Title: Can We Unify Numerical Methods with a Single Mathematical Framework? Chair: Bahman Javadi Afternoon Tea (Level 4, CB02 Building 2) Session 2A: BDSE2013 (CB ) Session 2B: CSE2013 (CB ) Session 2C: CIT2013 (CB ) Session 2D: ICESS2013 (CB ) Session 2E: BDSE2013 (CB ) Sessionir: TBD (TBD, TBD) Session 1A:BDSE2013 (CB ) Big Data Science and Engineering Session Chair: Wanchun Dou Stream Processing of Scientific Big Data on Heterogeneous Platforms Image Analytics on Big Data in Motion Seyyed Mahdi Najmabadi, Michael Klaiber, Zhe Wang, Yousef Baroud, Sven Simon Video Structural Description: a Semantic based Model for Representing and Organizing Video Surveillance Big Data Xu Zheng, Luo Xiangfeng A Clustering-based Collaborative Filtering Approach for Mashups Recommendation over Big Data Rong Hu, Wanchun Dou, Jianxun Liu Relational Database Design Patterns Ramzi Haraty, Georges Stephan A Consumer-Oriented Service Selection Method for Service-based Applications in the Cloud Taotao Wu, Shaoqian Zhang, Xiaotong Wu, Wanchun Dou Sessionir: TBD (TBD, TBD) Session 1B: CSE2013 (CB ) Computational Science and Engineering Session Chair: Khaled M. Khan Nonlinear Support Vector Machines for Solving the PMC-Based System-Level Fault Diagnosis Problem 13

16 Mourad Elhadef Secure Cloud Services: Matrix multiplication revisited Khaled M. Khan, Mahboob Shaheen A Load-Balancing Force Decomposition Scheme for Parallel Simulation of Chemical Dynamics with Multiple Inter-Atomic Force Models Yu Zhuang, Rohini Rajagopalan, William Hase, Upakarasamy Lourderaj Aircraft Landing Problem: An Efficient Algorithm for a Given Landing Sequence Abhishek Awasthi, Oliver Kramer, Jörg Lässig Developing a Lean Mass Customization Based Manufacturing Andres Ojamaa, Vahur Kotkas, Margarita Spichakova, Jaan Penjam Session 1C: CIT2013 (CB ) Computer and Information Technology Session Chair: Sung-Hwan Kim Similarity Assessment of Program Samples Based on Theory of Fuzzy Yuxiang Li, Yinliang Zhao, Bin Liu Performance Improvement using Self-Link-Breakage Announcement in Wireless Ad-Hoc Networks Hyun-Ho Shin, Seungjin Lee, Byung-Seo Kim Load-prediction scheduling for Computer Simulation of Electrocardiogram on a CPU-GPU PC Wenfeng Shen, Lianqiang Sun, Daming Wei, Weimin Xu, Xin Zhu, Shizhong Yuan A Fast Searching for Similar Text using Genomic Read Mapping Method Chang Seok Ock, Sung-Hwan Kim, Haesung Tak and Hwan Gue Cho Sentiment Analysis and Summarization of Twitter Data Seyed-Ali Bahrainian, Andreas Dengel Session 1D: ICESS2013 (CB ) Embedded Software and Systems Session Chair: Taotao Wu Investigating the Impact Factors for Event Detection using Web Search Engines Xu Zheng, Luo Xiangfeng Specifying Time Constraints of Cyber Physical Systems Based on Clock Theory Bingqing Xu, Lichen Zhang AASMP Android Application Server for Mobile Platforms Jian-Hong Liu, Jing Chen, Yi-Li Wu, Pei-Li Wang Improving GPOS Real-time Responsiveness using vcpu Migration in an Embedded Multicore Virtualization Platform Tsung-Han Lin, Hitoshi Mitake, Tatsuo Nakajima Specifying and Modeling Railway Cyber Physical Systems by the Extension of AADL Lichen Zhang Sessionir: TBD (TBD, TBD) Session 1E: MR.BDI2013 (CB ) Map Reduce and Big Data Infrastructure Session Chair: Xuyun Zhang Memoization of Materialization points Mareike Höger and Odej Kao Dynamic Profiling and Feedback Framework for Reduce-side Join Makoto Nakayama, Kenichi Yamazaki, Satoshi Tanaka and Hironori Kasahara Using MapReduce for High Energy Physics Data Analysis Fabian Glaser, Helmut Neukirchen, Thomas Rings and Jens Grabowski Moim: A Multi-GPU MapReduce Framework Mengjun Xie and Kyoung-Don Kang Session 2A: BDSE2013 (CB ) Big Data Science and Engineering Session Chair: Godfried Toussaint Agricultural Production System based on IoT Meonghun Lee, Jeonghwan Hwang, Hyun Yoe A Preference-Aware Service Recommendation Method on Map-Reduce Shunmei Meng, Xu Tao, Wanchun Dou Topics And Terms Mining in Unstructured Data Stores Richard Lomotey, Ralph Deters Secure and Controlled Sharing of Data in Distributed Computing Danan Thilakanathan, Shiping Chen, Surya Nepal, Rafael Calvo Subset Selection Classifier (SSC): a training set reduction method 14

17 Zubair Shah, Abdun Naser Mahmood, Mehmet Orgun Multi-tenant Database Access Control Haitham Yaish, Madhu Goyal A Descriptive Big Data Model Using Grounded Theory Marco Pospiech, Carsten Felden ionir: TBD (TBD, TBD) Session 2B: CSE2013 (CB ) Computational Science and Engineering Session Chair: Curtis Dyreson Securing Mobile Devices from DoS Attacks Udaya Tupakula, Vijay Varadharajan What to Reuse?: A Probabilistic Model to Transfer User Annotations in a Surveillance Video Omar Florez, Curtis Dyreson, Junaith Shahabdeen An Acceleration Toolkit of Matlab based on Hybrid CPU/GPU Clusters Tyng-Yeu Liang, Jyun-Kai Wu, Yu-Chih Chen An Application-level Synchronous Checkpoint-Recover Method for Parallel CFD Simulation Xiaoguang Ren, Xinhai Xu, Yuhua Tang, Xudong Fang Applying Erasure Codes for Fault Tolerance in Cloud-RAID Maxim Schnjakin, Tobias Metzke, Christoph Meinel Aspects of Data Quality That Cause Impact on Business Intelligence Systems Patrícia Freitas, Everson Reis, Wanderson Michel, Mauro Gronovicz, Marcio Rodrigues Ray-Tracing-Based Geospatial Optimization for Heterogeneous Architectures Enhancing Situational Awareness David Richie, James Ross, Song Park, Dale Shires Technologies for information management of life cycle inventories of the product and service supply chain in the Brazilian industry Everson Reis, Plácida Santos Sessionir: TBD (TBD, TBD) Session 2C: CIT2013 (CB ) Computer and Information Technology Session Chair: Ki-Il Kim Towards Cluster-based Real-Time Flow Scheduling in Interference-Aware Wireless Sensor Networksk Gohar Ali, Seok-Yoon Kang, Kyong Hoon Kim, Ki-Il Kim A Systematic Product Line Test Derivation from Activity Diagrams Sungwon Kang, Jihyun Lee Secure and Oblivious Information Hiding in Binary Image Zheng Huang, Weidong Kou, Kefei Chen A New Scheme for Indirect Trust Calculation to Resist Bigmouth Attack in Wireless Ad Hoc Network Yongkai Zhou, Yi Yuan, Chong Fu, Yun Zhu, Yong Shi, Zhi Xue, Jianhua Li Routing Design and Analysis of Place Based Opportunistic Networks Yanliang Liu, Shanshan Lu, Yonghe Liu Development Risk Assessment in Software Projects using Dependability Models Alexsandro Melo, Eduardo Tavares, Marcelo Marinho, Erica Sousa, Bruno Nogueira, Paulo Maciel Dynamic Load Balancing in Real-Time Distributed Transaction Processing Waqar Haque, Andrew Toms, Aaron Germuth Sessionir: TBD (TBD, TBD) Session 2D: ICESS2013 (CB ) Embedded Software and Systems Session Chair: Adrian Johannes Evaluation of Multi-Threaded Processor Designs for Energy Efficient Embedded Systems Ran Zhang, Hui Guo Aspect-Oriented Customization of the Scheduling Algorithm and the Resource Access Protocol of a Real-Time Operating System Kazuki Abe, Myungryun Yoo, Takanori Yokoyama Utilizing Intervals in Component-based Design of Cyber Physical Systems Steffen Peter, Tony Givargis Multi-View Approach to Specify and Model Aerospace Cyber-Physical Systems Lichen Zhang Distributed Intent: Android Framework for Networked Devices Operation Yuki Nagahara, Hiroshi Oyama, Takuya Azumi, Nobuhiko Nishio Priority Based USB Communication: Dual Endpoint between Smart TV & Set-Back Box jeik kim, Kyung-sik kim, aman deep 15

18 Certificate-Based Pairwise Key Establishment Protocol for Wireless Sensor Networks Pawani Porambage, Pradeep Kumar, Corinna Schmitt, Andrei Gurtov, Mika Ylianttila Coordinated Bank and Cache Coloring for Temporal Protection of Memory Accesses Noriaki Suzuki, Hyoseung Kim, Dionisio de Niz, Bjorn Andersson, Lutz Wrage, Mark Klein, Ragunathan Rajkumar Sessionir: TBD (TBD, TBD) Session 2E: BDSE2013 (CB ) Big Data Science and Engineering Session Chair: Shuzlina Abdul Rahman Optimizing Big Data in Bioinformatics with Swarm Algorithms Azuraliza Abu Bakar, Zeti-Azura Mohamed-Hussein Towards Mining Frequent Patterns in Genome Wide Association Sofianita Mutalib, Shuzlina Abdul-Rahman, Azlinah Mohamed Exploring Feature Selection and Support Vector Machine in Text Categorization Shuzlina Abdul Rahman, Nur Amira Khanafi, Sofianita Mutalib A Synthetic Information Approach to Urban-scale Disaster Modeling Samarth Swarup, Kristian Lum, Christopher Barrett, Keith Bisset, Stephen Eubank, Madhav Marathe, Paula Stretz Computational Methods for Testing Adequacy and Quality of Massive Synthetic Proximity Social Networks Huadong Xia, Christopher Barrett, Jiangzhuo Chen, Madhav Marathe Querying Streaming XML Big Data with Multiple Filters on Cloud Chi Yang, Chang Liu, Xuyun Zhang, Surya Nepal, Jinjun Chen Public Auditing for Big Data Storage in Cloud Computing -- A Survey Chang Liu, Rajiv Ranjan, Xuyun Zhang, Chi Yang, Dimitrios Georgakopoulos and Jinjun Chen 16

19 08:00-18:00 09:00-10:00 10:00-11:00 11:00-11:30 11:30-13:00 13:00-14:00 14:00-15:00 15:00-15:30 15:30-18:00 19:00-22:30 Wednesday 4 December 2013 Registration (Level 4, CB02 Building 2) Keynote Address 4: (CB ) Speaker: Prof. Ivan Stojmenovic Title: Big data in social networks Chair: Young Choon Lee Keynote Address 5: (CB ) Speaker: Prof. Laurence Yang Title: A Data-as-a-Service Framework for Cyber-Physical-Social Big Data Chair: Shui Yu Morning Tea (Level 4, CB02 Building 2) Session 3A: BDSE2013 (CB ) Session 3B: CSE2013 (CB ) Lunch (Level 4, CB02 Building 2) Session 3C: CIT2013 (CB ) Keynote Address 6: (CB ) Speaker: Prof. Jian Pei Title: Towards Connecting Big Data with Many People Chair: Ivan Stojmenovic Afternoon Tea (Level 4, CB02 Building 2) Session 4A: BDSE2013 (CB ) Session 4B: CSE2013 (CB ) Session 4C: CIT2013 (CB ) Session 3D: ICESS2013 (CB ) Session 4D: ICESS2013 (CB ) Session 3E: ACIT2013 (CB ) Session 4E: CIT2013 (CB ) Banquet (Cruise dinner. Boarding address: 32 The Promenade, King Street Wharf 5, Sydney, NSW 2000, Australia). NB: We will gather at Level 4, CB02 outside the keynote room at 6:30pm. Then, we walk for the banquet. Sessonir: TBD (TBD, TBD) Session 3A: BDSE2013 (CB ) Big Data Science and Engineering Session Chair: Vladimir Vlassov Visual Analytics Framework for Cloud Infrastructure Data Arun Kejariwal, Winston Lee, Owen Vallis, Jordan Hochenbaum, Bryce Yan m2r2: A Framework for Results Materialization and Reuse in High-Level Dataflow Systems for Big Data Vasiliki Kalavri, Hui Shang, Vladimir Vlassov Swarm Search for Feature Selection in Classification Simon Fong, Xin-she Yang, Suash Deb Improving the Accuracy of Incremental Decision Tree Learning Algorithm via Loss Function Simon Fong, Hang Yang Discovery and Analysis of Usage Data Based on Hadoop for Personalized Information Access Dawen Xia, Zhuobo Rong, Yanhui Zhou, Binfeng Wang, Yantao Li, Zili Zhang Sessonir: TBD (TBD, TBD) Session 3B: CSE2013 (CB ) Computational Science and Engineering Session Chair: Michela Taufer Performance Impact of I/O on QMCPack Simulations at the Petascale and Beyond Stephen Herbein, Michael Matheny, Matthew Wezowicz, Jaron Kroger, Jeongnim Kim, Scott Klasky, Michela Taufer A Structure for Sliding Window Equijoins in Data Stream Processing Hyeon Gyu Kim Using All-or-Nothing Encryption to Enhance the Security of Searchable Encryption Wenqi Ma, Qingbo Wu, Yusong Tan, Chunguang Wang, Huaping Hu Dynamic-Width Reconfigurable Parallel Prefix Circuits 17

20 Hatem El-Boghdadi On Efficiently Capturing Scientific Properties in Distributed Big Data without Moving the Data: A Case Study in Distributed Structural Biology using MapReduce Boyu Zhang, Trilce Estrada, Pietro Cicotti, Michela Taufer Session 3C: CIT2013 (CB ) Computer and Information Technology Session Chair: Li Li Spectrum Allocation Allowed for Total Transmission Rate and Fairness Xiaodan Chen, Li Li, Lei Li, Hongtao Ling File Deduplication with Cloud Storage File System Chan-I Ku, Guo-Heng Luo, Shyan-Ming Yuan A Key Tree Merge Algorithm in Multi-privileged Groups Xiaozhuo Gu, Weihua Zhou, Yongming Wang Threat on Physical Layer Security: Side Channel vs. Wiretap Channel Peng Luo, Huiyun Li, Guoqing Xu, Lei Peng Dynamic Adapter Reconfiguration in the context of Business Protocol Evolution Maryam Eslamichalandar, Kamel Barkaoui, Hamid Reza Motahari-Nezhad essonir: TBD (TBD, TBD) Session 3D: ICESS2013 (CB ) Embedded Software and Systems Session Chair: Geetha Prakash Behavior Modeling of Cyber-Physical System Based on Discrete Hybrid Automata Qiang Wang, Xingshe Zhou Intermediate Inverse Image Histogram Bongkarn Homnan, Watit Benjapolakul Specifying and Modeling Automotive Cyber Physical Systems Lichen Zhang 3D Adjacency: A Communication-aware Online Scheduling Algorithm for 2D Partially Reconfigurable Devices Renfa Li, Yingying Sheng, Yan Liu Hardware-Based I/O Virtualization for Mixed Criticality Real-Time Systems Using PCIe SR-IOV Daniel Muench, Ole Isfort, Kevin Mueller, Michael Paulitsch, Andreas Herkersdorf : TB (TBD, TBD) Session 3E: ACIT2013 (CB ) Advances in Computer and Information Technology Session Chair: ChingShun Lin Edge Detection and Linking Pattern Analysis Using Markov Chains Haklin Kimm, Neda Abolhassani, Fenglien Lee An Enhanced Genetic Programming Approach for Detecting Unsolicited s Shrawan Kumar Trivedi, Shubhamoy Dey The Identification Service in Health Information Exchange Lijun Wang, Jianchao Cai An Analysis of Scripting Languages for Research in Applied Computing Olugbenga Oluwagbemi, Sanjay Misra, Adewole Adewumi, Folakemi Majekodunmi, Luis Fernandez- Sanz A Maintainability Spreadsheet-Driven Regression Test Automation Framework Zhenyu Liu, Qiang Chen, Xu Jiang Seessionir: TBD (TBD, TBD) Session 4A: BDSE2013 (CB ) Big Data Science and Engineering Session Chair: Hong Bonghee A New Exploration to Build Flash-based Storage Systems by Co-Designing File System and FTL Wenwei Qiu, Nong Xiao, Fang Liu, Zhiguang Chen A Multi-tenant Database Architecture Design for Software Applications Haitham Yaish, Madhu Goyal Privacy Preserving Support Vector Machine using Non-linear Kernels on Hadoop Mahout Sin Teo, Shuguo Han, Vincent Lee Reduction of Association Rules for Big Data Sets in Socially-Aware Computing Woo Sik Seol, Hwi Woon Jeong, Byungjun Lee, and Hee Yong Youn Self-Healing Spatio-Temporal Data Streams Using Error Signatures Shigeru Imai, Richard Klockowski, Carlos Varela A MapReduce and Information Compression based Social Community Structure Mining Method Songchang Jin, Wangqun Lin, Shudong Li, Aiping Li, Shuqiang Yang 18

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