Keynote Lectures

Complexity Science with the Internet of Things
Peter Sloot, Complexity Institute Singapore, Singapore; ITMO St. Petersburg; Russion Federation; University of Amsterdam, Netherlands

The New Era of Multi-dimensional Data Management
Verena Kantere, University of Geneva, Switzerland

RTTMM: Role Based 3-Tier Mobility Model for Evaluation of Delay Tolerant Routing Protocols in Post Disaster Situation
Mohammed Atiquzzaman, University of Oklahoma, United States

Towards Building Cyber-physical Ecosystems of People, Processes, and Things
Schahram Dustdar, Vienna University of Technology, Austria

Security and Privacy in the Cloud
Pierangela Samarati, Università degli Studi di Milano, Italy

Complexity Science with the Internet of Things

Peter Sloot
Complexity Institute Singapore, Singapore; ITMO St. Petersburg; Russion Federation; University of Amsterdam
Netherlands

Brief Bio
Peter Sloot is distinguished research professor at the University of Amsterdam and a full professor and director of the Complexity Institute in NTU, Singapore. He is a Leading Scientist Laureate and has been the PI of many international research programs on complex biomedical systems, like www.virolab.org and www.dynanets.org. He is editor in chief of two highly ranked Elsevier Science journals. He has published over 400 research papers. His work is covered in international media such as newspapers, interviews and documentaries. See: http://staff.science.uva.nl/~sloot/

Abstract
We have covered the planet with sensors, cameras, microphones, drones, tracking devices, you name it. All that data is coming at us with an incredible diversity, volume and speed. It is the goal of the Internet of Things (IoT) to provide an infrastructure that can deal with this paradigm shift in ICT.
Business and industry have already discovered the huge potential the IoT will provide them with. Up to now however the scientific world seems to wait and see.
In this talk I will explore the new science we can expect from using the IoT as an experimental platform to study truly complex systems. The need for that is urgent and knocking at our door: We live in a complex world and are surrounded by complex systems: from a biological cell, made of thousands of different molecules that seamlessly work together, to millions of computer systems that should work together, to our society, a collection of seven billion individuals that try to work and live together. These complex systems display endless signatures of order, disorder, self-organization and self-annihilation.Understanding, quantifying and handling this complexity is one of the biggest scientific challenges of our time. I will discuss ways in which the IoT can help us to make sense of the world around us, to analyze, predict and nudge control its amazing complexity.

The New Era of Multi-dimensional Data Management

Verena Kantere
University of Geneva
Switzerland

Brief Bio
Verena Kantere is a Maître d’ Enseignement et de Recherche - Senior Lecturer at the Centre of Informatics (CUI) at the University of Geneva. Before she was a Senior Researcher and the Excellence Grant Holder at CUI, University of Geneva (UniGe) working towards the provision and exchange of data services in cloud environments, focusing on the management of Big Data and performance of Big Data analytics, by developing methods, algorithms and fully fledged systems. Before coming to the UniGe she was a tenure-track junior assistant professor at the Department of Electrical Engineering and Information Technology at the Cyprus University of Technology (CUT). She has received a Diploma and a Ph.D. from the National Technical University of Athens, (NTUA) and a M.Sc. from the Department of Computer Science at the University of Toronto (UofT), where she also started her PhD studies. After the completion of her PhD studies she worked as a postdoctoral researcher at the Ecole Polytechnique Federale de Lausanne (EPFL). During her graduate studies she developed methods, algorithms and fully fledged systems for data exchange and coordination in Peer-to-Peer (P2P) overlays with structured and unstructured data, focusing on the solution of problems of data heterogeneity, query processing and rewriting, multi-dimensionality and management of continuous queries. Furthermore, she has shown interest and work in the field of the Semantic Web, concerning the problem of semantic similarity, annotation, clustering and integration.

Abstract
Ubiquitous computing and modern data collection tools have given rise to a new era of data management, in which the data as well as the processing environments are enormous and diverse. In this era in which the terms Big Data and Cloud Computing prevail, the success of data management relies in optimizing data processing on multiple dimensions and delivering data services with multifarious quality guarantees. In this talk we will discuss the challenges and the opportunities of the new era of data management and we will explore the possibilities and limitations of multi-dimensional data management. We will focus more on the incorporation of the notion of cost in traditional and new techniques and the role of data heterogeneity. The talk will summarize recent work on a novel economy model for a cloud where users pay on-the-go for the data services they receive and user payments can be used for service provision, infrastructure maintenance and profit. The discussion will go further to the requirement of approximately querying big heterogeneous data in such an environment. The talk will conclude with a discussion on the special management requirements of big analytical data collections and how these could be fulfilled employing cloud data services.

RTTMM: Role Based 3-Tier Mobility Model for Evaluation of Delay Tolerant Routing Protocols in Post Disaster Situation

Mohammed Atiquzzaman
University of Oklahoma
United States
http://www.cs.ou.edu/~atiq/

Brief Bio
Mohammed Atiquzzaman (Senior Member, IEEE) obtained his M.S. and Ph.D. in Electrical Engineering and Electronics from the University of Manchester (UK) in 1984 and 1987, respectively. He currently holds the Edith J Kinney Gaylord Presidential professorship in the School of Computer Science at the University of Oklahoma.Dr. Atiquzzaman is the Editor-in-Chief of Journal of Networks and Computer Applications, the founding Editor-in-Chief of Vehicular Communications, and serves/served on the editorial boards of many journals including IEEE Communications Magazine, Real Time Imaging Journal, International Journal of Communication Networks and Distributed Systems and Journal of Sensor Networks and International Journal of Communication Systems. He co-chaired the IEEE High Performance Switching and Routing Symposium (2003, 2011), IEEE Globecom and ICC (2014, 2012, 2010, 2009, 2007, 2006), IEEE VTC (2013) and the SPIE Quality of Service over Next Generation Data Networks conferences (2001, 2002, 2003). He was the panels co-chair of INFOCOM’05, and is/has been in the program committee of many conferences such as INFOCOM, Globecom, ICCCN, ICCIT, Local Computer Networks, and serves on the review panels at the National Science Foundation. He is the current Chair of IEEE Communication Society Technical Committee on Communications Switching and Routing.Dr. Atiquzzaman received IEEE Communication Society's Fred W. Ellersick Prize, and NASA Group Achievement Award for "outstanding work to further NASA Glenn Research Center's effort in the area of Advanced Communications/Air Traffic Management's Fiber Optic Signal Distribution for Aeronautical Communications" project. He is the co-author of the book “Performance of TCP/IP over ATM networks” and has over 270 refereed publications, available at www.cs.ou.edu/~atiq.His current research interests are in areas of transport protocols, wireless and mobile networks, ad hoc networks, satellite networks, power-aware networking, and optical communications. His research has been funded by National Science Foundation (NSF), National Aeronautics and Space Administration (NASA), and U.S. Air Force, Cisco and Honeywell.

Abstract
In Internet of Things (IoT) the devices are interconnected through Internet with several redundant paths, but they are still vulnerable to the effects of large scale disasters such as earthquakes and floods. The disaster area may be disconnected from the rest of the Internet and the need arises to get information about the victims.
Adhoc networks like MANETs and DTNs are most suitable to support the communication in partitioned networks, such as a network in a post disaster situation. Even an adhoc network becomes one of the essential network architecture in IoT and attracted lots of attention in the last decade. The disaster affects the several regions with different intensities called each region as disaster event which are located nearer to each other.
Each disaster event is assigned a group of rescue entities with hand held IoT device, where they perform the tactical operation. The movement pattern of the rescue entities in a post disaster area is described by a mobility model which is used to evaluate the routing protocols for post disaster scenario networks. Existing mobility models for post disaster scenarios do not distribute the rescue entities in proportion to the intensity of disaster events in the case of multiple events occurring simultaneously. In this work, we propose the Role-based 3-Tier Mobility Model (RTTMM) to mimic the movement pattern of different rescue entities involved in the disaster relief operation by distributing them based on the proportion of the intensity of the disaster event.
Our model generates the mobility traces of the rescue entities, which are fed as input to the DTN routing protocols. We also evaluate the performance of existing DTN routing protocols using the traces obtained from RTTMM.

Towards Building Cyber-physical Ecosystems of People, Processes, and Things

Schahram Dustdar
Vienna University of Technology
Austria
http://www.infosys.tuwien.ac.at/Staff/sd

Brief Bio
Schahram Dustdar is Full Professor of Computer Science heading the Research Division of Distributed Systems at the TU Wien, Austria. He holds several honorary positions: University of California (USC) Los Angeles; Monash University in Melbourne, Shanghai University, Macquarie University in Sydney, and University of Groningen (RuG), The Netherlands (2004-2010). From Dec 2016 until Jan 2017 he was a Visiting Professor at the University of Sevilla, Spain and from January until June 2017 he was a Visiting Professor at UC Berkeley, USA. From 1999 - 2007 he worked as the co-founder and chief scientist of Caramba Labs Software AG in Vienna (acquired by Engineering NetWorld AG), a venture capital co-funded software company focused on software for collaborative processes in teams. Caramba Labs was nominated for several (international and national) awards: World Technology Award in the category of Software (2001); Top-Startup companies in Austria (Cap Gemini Ernst & Young) (2002); MERCUR Innovation award of the Austrian Chamber of Commerece (2002).He is founding co-Editor-in-Chief of the new ACM Transactions on Internet of Things (ACM TIoT) as well as Editor-in-Chief of Computing (Springer). He is an Associate Editor of IEEE Transactions on Services Computing, IEEE Transactions on Cloud Computing, ACM Transactions on the Web, and ACM Transactions on Internet Technology, as well as on the editorial board of IEEE Internet Computing and IEEE Computer. Dustdar is recipient of the ACM Distinguished Scientist award (2009), the IBM Faculty Award (2012), an elected member of the Academia Europaea: The Academy of Europe, where he is chairman of the Informatics Section, as well as an IEEE Fellow (2016).

Abstract
Emerging elastic systems made of People, Processes, and Things span whole business processes, sometimes event across organizations. They capture, manage, and adapt to the needs of all involved actors. However, elasticity brings challenges in the design and management of software, the involved human organizations, and business processes. In this talk we analyze today's challenges in combining People, Processes, and Things to build elastic systems.

Security and Privacy in the Cloud

Pierangela Samarati
Università degli Studi di Milano
Italy
http://www.di.unimi.it/samarati

Brief Bio
Pierangela Samarati is a Professor at the Department of Computer Science of the Università degli Studi di Milano, Italy. Her main research interests are on data and applications security and privacy, especially in emerging scenarios. She has participated in several projects involving different aspects of information protection. On these topics, she has published more than 280 peer-reviewed articles in international journals, conference proceedings, and book chapters. She has been Computer Scientist at SRI, CA (USA) and visiting researcher at Stanford University, CA (USA), and at George Mason University, VA (USA). She is the chair of the IEEE Systems Council Technical Committee on Security and Privacy in Complex Information Systems (TCSPCIS), of the ERCIM Security and TrustManagement Working Group (STM), and of the ACM Workshop on Privacy in the Electronic Society (WPES). She is ACM Distinguished Scientist (named 2009) and IEEE Fellow (named 2012).She has received the ESORICS Outstanding Research Award (2018), the IEEE Computer Society Technical Achievement Award (2016), the IFIP WG 11.3 Outstanding Research Contributions Award (2012), and the IFIP TC11 Kristian Beckman Award (2008).http://www.di.unimi.it/samarati/

Abstract
The rapid advancements in Information and Communication Technologies (ICTs) have enabled the emerging of the “cloud” as a successful paradigm for conveniently storing, accessing, processing, and sharing information. With its significant benefits of scalability and elasticity, the cloud paradigm has appealed companies and users, which are more and more resorting to the multitude of available providers for storing and processing data. Unfortunately, such a convenience comes at a price of loss of control over these data and consequent new security threats that can limit the potential widespread adoption and acceptance of the cloud computing paradigm. In this talk I will illustrate some security and privacy issues arising in the cloud scenario, focusing in particular on the problem of guaranteeing confidentiality and integrity of data stored or processed by external cloud providers.