Conference Program
Please click here to download IDCS 2013 conference program
Keynote Speakers
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Manish
Parashar, Ph.D
Bio:
Manish Parashar is Professor of
Electrical and Computer Engineering
at Rutgers University, and is also
Director of the Cloud and Autonomic
Computing Center at Rutgers,
Director of the The Applied Software
Systems Laboratory (TASSL), and
Associate Director of the Rutgers
Center for Information Assurance (RUCIA).
He recently served as Program
Director in the Office of
Cyberinfrastructure (OCI) at the
National Science Foundation (NSF),
where he managed an approximately
$150 Million research portfolio.
Manish has co-authored over 350
technical papers including paper in
international journals and
conferences, invited papers and
presentations and book chapters. He
has co-authored/edited 6 books,
edited 21 conference proceedings and
11 journal special issues and has
presented large number of keynotes
and distinguished seminars. He has
also developed and deployed several
software systems including
CometCloud, DataSpaces/DIMES/DART,
Discover, AutoMate (Accord,
Rudder/Comet, Meteor, Squid, Topos,
Pawn, DAIS, SESAME), GrACE/DAGH,
MACE, Pragma/ARMaDA and the CORBA
CoG Kit. His research and software
was recently part of the Help Defeat
Cancer Project on the IBM World
Community Grid , and are also being
considered for commercial
deployment.Manish received a BE
degree in Electronics and
Telecommunications from Bombay
University, India, and MS and Ph.D.
degrees in Computer Engineering from
Syracuse University. Title: Exploring Autonomics for Clouds Abstract: Cloud computing has emerged as a dominant paradigm that is being widely adopted by enterprises. Clouds are also rapidly joining high-performance computing system, clusters and Grids as viable platforms for scientific exploration and discovery. Clouds provide attractive capabilities, such as on-demand access to computing utilities, an abstraction of unlimited computing resources, and support for on-demand scale up, scale down and scale out. However, developing and managing cloud applications/services to appropriately use these features can be challenging – for example, it requires managing these applications/services based on pricing policy, quality of service requirements, budgets, etc. In this talk, I will use CometCloud, an autonomic cloud computing platform developed at the NSF Cloud and Autonomic Computing Center (CAC) at Rutgers, to explore autonomic application execution and management in federated Cloud infrastructures. |
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Laurence T. Yang, Ph.D Professor, Department of Computer Science St. Francis Xavier University Antigonish, Canada Huazhong University of Science and Technology, China
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.
Title: A Data-as-a-Service Framework for Cyber-Physical-Social Big Data Abstract:
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 socio-cultural
elements. It is a novel emerging
computing paradigm and has attracted
wide concerns from both industry and
academia in recent years. |
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Yang Xiang, Ph.D Senior Member, IEEE Director, Network Security and Computing Laboratory (NSCLab) Professor, School of Information Technology Deakin University, Australia Bio: Prof. 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. One of his papers was selected as the featured article in the April 2009 issue 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 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 Parallel and Distributed Systems and the Editor of Journal of Network and Computer Applications. He is Senior Member of the IEEE.
Title: Modeling Propagation Dynamics of Malware in Social Networks Abstract: Social networks have been an important platform for people's daily social activities. It has also been an effective platform for malware to propagate. Modeling the propagation dynamics of malware in social networks is essential to predict the malware's potential damages and develop countermeasures. Although previously several analytical models have been proposed for modeling propagation such dynamics, there are two critical problems unsolved, temporal dynamics and spatial dependence. In this talk, we present a series of novel analytical models. These models implement a spatial-temporal synchronization process, which is able to capture the temporal dynamics. Additionally, we find the essence of spatial dependence is the spreading cycles. By eliminating the effect of these cycles, our models overcome the computational challenge of spatial dependence and provides a stronger approximation to the propagation dynamics. Our models are more suitable for modeling the propagation of malware in social networks and thus provide an effective way to defend against the malware. These models are also applicable to describe the information propagation in complex networks such as social networks. |
Invited Talks
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Alexei Tumarkin,
Ph.D Chief Architect and Head, ChinaCache R&D Centre Silicon Valley, USA
Bio:
Dr. Alexei Tumarkin is the Chief
Architect and head of the Silicon
Valley R&D Center for ChinaCache. He
is also a visiting professor of
computer sciences at the Beijing
University of Posts and
Telecommunications. Prior to working
at ChinaCache, Dr.Tumarkin was the
Chief Technology Officer at
CDNetworks (acquired by KDDI) and a
senior engineering manager of WSA
Web reputation and usage controls
and ASA SSL VPN technologies at
Cisco. He was a co-founder and Vice
President of R&D at Netli, a pioneer
in dynamic content delivery
technologies acquired by Akamai in
2007. Alexei has more than 40
publications and 9 granted US
patents. He received his MA and PhD
degrees from the Department of
Mathematics at the Lomonosov Moscow
State University, Russia. Title: Content Delivery Technologies: A View from ChinaCache Abstract: The idea of content delivery services was proposed in 1994 by Hans-Werner Braun and kc claffy, who outlined many basic principles, which are still valid today. The talk will present some recent advances in content delivery technologies including client-sensitive DNS redirection, dynamic content acceleration, improved caching techniques and value-added services based on Web usage mining. |
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Dimitrios Georgakopoulos,
Ph.D Director, Information Engineering Laboratory CSIRO ICT Centre, Australia
Bio:
Dr. Dimitrios Georgakopoulos Leads
the Information Engineering Program
at the CSIRO Computational
Informatics. The program has well
over a hundred research staff,
visitors and PhD students and
specializes in the areas that
include Service/Cloud Computing,
Human Computer Interaction, Machine
Learning, and Semantic Data
Management. Dimitrios is also an
Adjunct Professor at the Australian
National University. Before coming
to CSIRO in October 2008, Dimitrios
held research and management
positions in several industrial
laboratories in the US. From 2000 to
2008, he was a Senior Scientist with
Telcordia, where he helped found and
led Telcordia’s Research Centers in
Austin, Texas, and Poznan, Poland.
From 1997 to 2000, Dimitrios was a
Technical Manager in the Information
Technology organization of
Microelectronics and Computer
Corporation (MCC), and the Chief
Architect of MCC’s Collaboration
Management Infrastructure (CMI)
consortial project. From 1990-1997,
Dimitrios was a Principal Scientist
at GTE (currently Verizon)
Laboratories Inc. Dimitrios has
received a GTE (Verizon) Excellence
Award, two IEEE Computer Society
Outstanding Paper Awards, and was
nominated for the Computerworld
Smithsonian Award in Science. He has
published more than one hundred
twenty journal and conference
papers.
Dimitrios is currently the
Vice-Chair of the 12th International
Semantic Web Conference (ISWC 2013)
in Sydney, Australia, 2013, and the
General Co-Chair of the 9th IEEE
International Conference on
Collaborative Computing (CollaborateCom
2013) in Austin, Texas, USA, 2013.
In 2011, he was the General chair of
the 12th International Conference on
Web Information System Engineering
(WISE), Sydney, Australia, and the
7th CollaborateCom, Orlando,
Florida, October 2011. In 2007, he
was the Program Chair of the 8th
WISE in Nancy France, and the 3rd
CollaborateCom in New York, USA. In
2005, he was the General chair of
the 6th WISE in New York. In 2002,
and he served as the General Chair
of the 18th International Conference
on Data Engineering (ICDE) in San
Jose, California. In 2001, he was
the Program Chair of the 17th ICDE
in Heidelberg, Germany. Before that
he was the Program Chair of 1st
International Conference on Work
Activity Coordination (WACC) in San
Francisco, California, 1999, and has
served as Program Chair in a dozen
smaller conferences and workshops. Title: Open Big Data Solutions for the Internet of Things Abstract:
The Internet of Things (IoT) is a
dynamic global information network
consisting of internet-connected
objects that include RFIDs, sensors,
actuators (such as equipment used in
mining, manufacturing, agricultural
and military operations), as well as
lab instruments, devices, and smart
consumer appliances that are
becoming an integral component of
the future internet. Currently, such
internet connected objects or
“things” outnumber both people and
computers connected to the internet
and their population is expected to
grow to 50 billion in the next 5 to
10 years. IoT applications must
dynamically integrate such objects
into emerging big data networks via
architecturally scalable and
economically feasible internet
service delivery models, such cloud
computing. This IoT vision has
recently given rise to the notion of
an IoT big data cloud that is
capable of ingesting, fusing and
analysing billions of data stream
and tens of years of historical data
to provide the knowledge required to
support an expanding array of IoT
applications and achieve timely
decision making. However, there is
still no easy way to formulate and
manage IoT cloud environments that
dynamically discover and integrate
internet connected objects and
exploit the big data they produce.
In this talk we provide an overview of joint research efforts involving prominent open source innovators towards developing IoT cloud solutions for big-data exploitation. In particular, we discuss four interrelated research projects that aim to develop an open source software platform that will help springboard IoT application development in academic research institutions and SMEs around the world. This talk focuses primarily on the development of IoT solutions to support dynamic semantic-based discovery and integration of internet connected objects as needed by each application, solutions for distributed stream processing and near real-time exploitation of IoT data, and corresponding IoT cloud services. We also discuss on going efforts to produce a unified open source middleware framework that will serve a blueprint for developing novel IoT applications, which are delivered in an autonomic fashion and according to a cloud computing model. A major case study involving such a novel IoT application in the domain of digital agriculture is presented at the end of this talk to illustrate how open source IoT cloud services help achieve higher agricultural productivity. |