Manish Parashar, Ph.D
AAAS Fellow  |  IEEE Fellow
Professor, Department of Electrical & Computer Engineering
Rutgers, The State University of New Jersey, USA

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.

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.

He has published many papers in various refereed journals, conference proceedings and book chapters in the above areas including around 140 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 (2001-2004), the chair of IEEE Technical Committee of Scalable Computing (2008-2011), 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 (2008-2011), 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, 2003. He has been invited to give around 20 keynote talks at various international conferences and symposia.

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.

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.

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.

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.

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.