Prof. Erik Elmroth,
Professor in Computing Science
Department of Computing Science
Umeå University, Sweden
CEO and founder of Elastisys AB
Chairman, the Swedish National Infrastructure for Computing
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Keynote 1 : Social media and Cloud Solutions
Dr. Sandy Carter
IBM General Manager, Ecosystem Development and Social Business Evangelist and Author
About the Speaker:
Dr. Sandy Carter is IBM General Manager,
Ecosystem Development and Social Business Evangelist and Author. In this role, she is responsible for
IBM�s worldwide relationship with independent software vendors (ISVs), which contribute to approximately
one-third of IBM�s revenue. She also manages the key partnerships with the development, academic, and
venture capital communities which comprise IBM�s industry-leading ecosystem of influencers, and is
focused on critical areas of business ecosystems like big data, cloud, mobile, social, and analytics.
It is estimated that these segments represent in excess of half a trillion dollars of opportunity by 2015.
Prior to her current position, Sandy was IBM Vice President, Social Business Evangelism and Sales, where
she was responsible for setting the direction for IBM�s Social Business initiative, a $200B market opportunity.
As a recognized leader in social business, Sandy is an award-winning author of 3 books, including
best-selling �Get Bold�, which has been translated into 9 languages. She has received numerous
awards for her leadership and expertise in branding and social business, and most recently was
recognized as a Thought Leader on Social Media by Small Business Trends, and was named by Webbiquity one
of Top Nifty 50 Women Writers on Twitter for 2013. She has also been named �Direct Marketer of the Year�
by Target Marketing magazine; Top 10 in Social Media by Altimeter Group; and Top 50 Social
Business Influencers by Biz Imagined Group (UK). Under her leadership, IBM has won awards
from VAR Business, CRN Channel Champions, Xchange Excellence, and Forrester ISV Partner Program.
She is a founding member of the WITI (Women in Technology International) Global Executive
Network (GEN) program for senior executive women and is a member of the WITI Executive Advisory
Council, the American Management Association (AMA), and the Chief Marketing Officer (CMO) Inner
Circle, and on the Global Advisory Board of the World Brand Congress.
Keynote 2 : Secure Future Services in Cloud
Prof. Chunming Rong
Head, Center for IP-based Service Innovation (CIPSI), University of Stavanger, NORWAY
Chair, IEEE Computer Society Cloud Computing Special Technical Community (CS CC STC)
Abstract:
Cloud Computing makes resources such as data available anywhere at anytime,
by enabling IT-related
capabilities to be provided as services, accessible without requiring detailed knowledge of the underlying
technology. Many mature technologies are used as components in Cloud Computing, but still there are many
unresolved and open problems. Security in the cloud domain is considered as one of the top challenges.
Cloud and IT service providers should be responsible for the data of their customers and users. However,
accountability frameworks for distributed IT services is needed but still absent; hence it is difficult
for users to understand, influence and determine how their service providers honor their obligations.It is
important to support users in deciding and tracking how cloud service providers use their data. By
combining methods of risk analysis, policy enforcement, monitoring and compliance auditing with tailored
IT mechanisms for security, assurance and redress.In any cloud service model, multiple stakeholders are
involved. One service provider can be the consumer of another service. The complex stakeholder relationships
require precise monitoring and accounting. Monitoring can be performedin multiple layers with different
granularities. In the Infrastructure as a Service (IaaS) model, a customer has a set of virtual machine
instances that are reachable by each other. Instances can be located in different geographical regions.
A variety of technologies are capable of providing instances� connectivity, including network virtualization.
From the network monitoring perspective, distinguishing customers� activities in a multi-tenant network is
crucial. There are recent studies to improve architecture of the networkingservices for cloud platform using
Software Defined Networking (SDN).
About the Speaker:
Prof. Chunming Rong is head of the Center
for IP-based Service Innovation (CIPSI) at the University of Stavanger (UiS) in Norway, where his work
focuses on data-intensive (big-data) analytics, cloud computing, security and privacy. He is an IEEE
senior member and is honored as member of the Norwegian Academy of Technological Sciences (NTVA)
since 2011. He is also an advisor for SINTEF ICT and has extensive contact network and projects
in both the industry and academic. He was visiting chair professor at Tsinghua University (2011 � 2014)
and served also as an adjunct professor at the University of Oslo (2005-2009). He is co-founder and
chairman of the Cloud Computing Association (CloudCom.org) and its associated IEEE conference
and workshop series. He is chair of IEEE Computer Society Special Technical Community (STC) for
Cloud Computing since April 2014, and is the co-Editors-in-Chief of the Journal of Cloud
Computing (ISSN: 2192-113X) by Springer and associate editor of the IEEE Transactions on
Cloud Computing (TCC). He received award as Editor's Choice in Discrete Mathematics for 1999,
ConocoPhillips Communication Award for 2007, and Sparebank-1 SR-bank Innovation Award for 2011.
He coauthored a book titled "Security in Wireless Ad Hoc and Sensor Networks" published by John
Wiley & Sons in 2009. Prof. Rong has extensive experience in managing large-scale R&D projects
funded by both industry and funding agencies, such as the Norwegian Research Council and the
European Framework Programs.
Keynote 3 : Mobile Cloud Computing
Prof. Tarek El-Ghazawi
Professor and IEEE Fellow
Department of Electrical and Computer Engineering,
The George Washington University, USA
Director of The GW Institute for Massively Parallel Applications and Computing Technologies (IMPACT)
Co-Director of the NSF Industry/University Center for High-Performance Reconfigurable Computing (CHREC).
About the Speaker:
Prof. Tarek El-Ghazawi is a Professor in the
Department of Electrical and Computer Engineering at The George Washington University,
where he leads the university-wide Strategic Academic Program in High-Performance Computing.
He is the founding director of The GW Institute for Massively Parallel Applications and
Computing Technologies (IMPACT) and a founding Co-Director of the NSF Industry/University
Center for High-Performance Reconfigurable Computing (CHREC). El-Ghazawi�s research interests
include high-performance computing, computer architectures, reconfigurable, embedded computing
and computer vision. He is one of the principal co-authors of the UPC parallel programming language
and the first author of the UPC book from John Wiley and Sons. He has received his Ph.D. degree in
Electrical and Computer Engineering from New Mexico State University in 1988. El-Ghazawi has
published close to 250 refereed research publications in this area.
El-Ghazawi has also taught at George Mason University, Florida Institute of Technology and Johns
Hopkins University. In addition, he served as a high-performance computing consultant at NASA Goddard
Space Flight Center and NASA Ames Research Center.
Dr. El-Ghazawi has served in many editorial roles including an Associate Editor for the IEEE Transactions
on Computers. He has chaired and co-chaired many international conferences and symposia including the 2009
Conference on Partitioned Global Address Space (PGAS) Programming Models and Languages (PGAS2009), The 10th
IEEE International Conference on Scalable Computing and Communications (ScalCom-10), 2010, the 9th ACS/IEEE
Conference on Computer Systems and Applications (AICCSA2011), and the 24th IEEE International Conference on
Application-specific Systems, Architectures and Processors (ASAP2013).
Dr. El-Ghazawi�s research has been frequently supported by Federal agencies and industry including
DARPA/DoD, NSF, DoE/LBNL, NASA, IBM, HP, Intel, AMD, SGI, Microsoft, and Mellanox. He serves or has
served on many advisory boards including the Science Advisory Panel of the Arctic Region Supercomputing
Center, DSP Logic and Mena Venture. El-Ghazawi received many national and international awards and
recognitions. He is a Fellow of the IEEE, and was selected to a Research Faculty Fellow for the IBM
Center for Advanced Studies, Toronto. He is a member of the Phi Kappa Phi national honor society and an
elected member of the IFIP WG10.3. El-Ghazawi was also a U.S. Fulbright Scholar, a recipient of the
Alexander Schwarzkopf Prize for Technological Innovations and a recipient of the Alexander von Humboldt
research award from the Humboldt Foundation in Germany.
Keynote 4 : Cloud Control � Guided Tour through a Cloud Datacenter,
addressing the Resource Management Challenges of the Future
Prof. Erik Elmroth,
Professor in Computing Science
Department of Computing Science
Ume� University, Sweden
CEO and founder of Elastisys AB
Chairman, the Swedish National Infrastructure for Computing
Abstract:
By taking a holistic approach to cloud resource management,
the aim is to transform today�s static and energy consuming cloud data centers into self-managed,
dynamic, and dependable infrastructures, constantly delivering expected quality of service with
acceptable operation costs and carbon footprint for large-scale services with varying capacity
demands. The presentation will provide the birds-eye�s view of the challenge as well as several
glimpses of selected completed and ongoing research efforts. These efforts address fundamental
and inter-twined self-management challenges assuming that there during execution are stochastic
variations in capacity need and resource availability, as well as changes in system response and
operation costs. Sample challenges include how much capacity to allocate at any time for an elastic
application, where to allocate that capacity, if to admit an elastic service with unknown lifetime
and future capacity demands, how to optimize the various management tools� concerted actions, etc,
while taking into account the need for differentiated quality of service and the scalability requirements
of the management tools themselves. For further reading about cloud resource management research at Ume�
University, Sweden, please visit www.cloudresearch.org.
About the Speaker:
Prof. Erik Elmroth is Professor in Computing Science
at Ume� University nd CEO for Elastisys AB. He has ten years of experience from being Head and Deputy
Head of the Department of Computing Science. He is leading the Ume� University research on distributed
systems, focusing on virtual computing infrastructures (Grid and Cloud computing,
see http://www.cloudresearch.org), including the group's participation in large-scale
national and international collaborations such as eSSENCE (a long-term Swedish strategic
eScience collaboration), the EU FP7 projects RESERVOIR, OPTIMIS, VISION Cloud, CACTOS,
ORBIT and ACROSS as well as the local industry-focused IT research within the UMIT research
laboratory. A particular high-light is being the principal investigator for Cloud Control, which
is a framework project funded by the Swedish Research Council, taking a control theoretic approach
for cloud datacenter management systems. The research is focused on methods, algorithms, architectures
and software design principles for large scale distributed environments. Recently, he has initiated the
Cloud Control Workshop Series (www.cloudresearch.org/workshops) and founded the company Elastisys AB
(www.elastisys.com).
The current research extends on Elmroth's broad background in scientific and high-performance computing
and extensive experience from organizing supercomputing infrastructures. He received the Nordea Scientific
Award 2011. Pre-historic highlights include being co-winner of the SIAM Linear Algebra Prize 2000, for the
most outstanding linear algebra publication world-wide during the preceding 3-year period.
Erik is Chairman of the Board of the Swedish National Infrastructure for Computing (SNIC).
Previously he has served as Chairman of Swedish Research Council's (VR's) expert group on e-science
infrastructures and as member of VR's Council for Research Infrastructures (RFI). He has also been appointed
by the Nordic Council of Ministers for writing a Nordic eScience strategy and as a follow-up, a Nordic-Baltic
eScience strategy as well as by SNIC for writing a national HPC strategy. He has held a three-year position as
national HPC lecturer appointed by the Swedish Council for High Performance Computers (HPDR).
International experiences include a year at NERSC, Lawrence Berkeley National Laboratory, University
of California, Berkeley, and one semester at the Massachusetts Institute of Technology (MIT), Cambridge, MA.
.
Keynote 6 : Getting Ready for IoT by Building your 3rd Platform
Eng. Wissam Halabi
EMC Distinguished Engineer
Abstract:
To prepare for the booming of sensors that generate data and to be able to have
a solid foundation for IoT, first we need to build a 3rd platform that able to
take advantage of zillion of data that would be generated by the IoT devices.
This keynote gives an overview on the 2 legacy platforms, the 3rd platform and the
4th platform. 4th Platform is the next wave of set of technologies that relies on two
major components of the 3rd platform � Cloud and Big Data. This talks describes the
cloud and big data and how to build them to be ready for the future.
Now a days, with the breaches, regulations and privacy, Security is becoming a fundamental
component of all platforms, 4th Platform will not be excluded from that.
About the Speaker:
Eng. Wissam Halabi , EMC Distinguished Engineer,
is the Chief Infrastructure Architect in EMC IT in Southboro, Massachusetts, USA.
He has worked for EMC IT for the past 19 years and in the IT industry for more than 25 years.
Wissam performs a unique role within EMC IT as a hands-on architect of IT infrastructure solutions and
an influential bridge to EMC�s product groups and EMC customers on real-world deployment of EMC solutions.
He holds a B.S. degree in Computer Technology from Northeastern University, Boston MA - USA and an M.S.
degree in Computer Science from Boston University, Boston MA - USA.
Keynote 7 : Exploring Complex Datasets: Challenges and Perspectives
Prof. Maria Fasli,
Director, Institute for Analytics and Data Science,
School of Computer Science and Electronic Engineering,
University of Essex, UK
Abstract:
This talk will be providing an overview of
the issues and challenges arising from the proliferation of data and in exploring
and modelling big and complex datasets. We will be describing work that has been using
artificial intelligence techniques such as multi-agent systems to explore and understand
complex and big data in different domains of application and the insights that can be
gained from the data.
About the Speaker:
Prof Maria Fasli is the Director of the
interdisciplinary Institute for Analytics and Data Science at the University of Essex.
She was Head of the School of Computer Science and Electronic Engineering between August 2009-December 2014.
Her research interests lie in the area of artificial intelligence, modelling and (machine)
learning from data (structured and unstructured), personalisation and recommendation techniques,
modelling and simulation of complex systems through multi-agent system techniques as well as
applications of agent-based systems in electronic commerce. She has published over 100 refereed
articles in major journals, conferences and workshops in these areas and she has organised international
workshops and other events. She leads the Methodological Stream for Big Data Analytics in the
ESRC Business and Local Government Data Research Centre. She is currently the investigator on
two further InnovateUK/EPSRC funded projects on data analytics and exploration and an
ESRC-funded project under the Civil Society Data Partnership Call with the Charity Freedom from
Torture (FfT) to support them in the development of big data infrastructure and systems.
She also has interests in innovative approaches to education and learning and in 2005
she was awarded a National Teaching Fellowship by the Higher Education Academy (UK) for
her innovative approaches to education. She is the author of �Agent Technology for
e-Commerce� a research-based textbook published by Wiley (2007).
Keynote 8 : Public Data Education: starting from the solution and working backwards
Dr Andrew Harrison,
Department of Mathematical Sciences,
University of Essex, UK
Abstract:
Data is exploding in scope and scale. An increasingly
large fraction of research data is being moved to the Public Domain. It is paramount that
we couple this growth to the design of educational systems. Such systems should be designed
to enable society to benefit from the wealth of information within Public Data.
The Research Data Alliance is a global grass-roots movement of data specialists working to
facilitate data sharing and accessibility. The RDA is beginning to work with Data-rich
organizations to develop educational programmes designed for their needs. This bottom-up
design needs to couple to existing educational infrastructure efficiently so as to maximise
the flow of students to where they are needed. This is leading us to increasingly look towards
creating a pipeline of educational programmes. This pipeline is moving backwards through existing
educational programmes, towards those least experienced students who are expected to become
the leaders of tomorrow. We believe that our bottom-up pipeline philosophy offers advantages
to Digital Natives being educated in the age of the internet. It is also specifically designed
to generate less friction between students and educational programmes.
About the Speaker:
Dr Andrew Harrison is a Senior Lecturer in
the Department of Mathematical Sciences at the University of Essex. His research
training was in Astrophysics, establishing computational methods to bring together
multi-wavelength studies of star formation in the nuclei of galaxies. He moved fields
into bioinformatics, originally developing graph-based algorithms and statistics for
comparing shapes of proteins, before performing some of the first extremely large data
analyses in the life sciences, when identifying biases in the raw microarray data that
had been used in thousands of scientific papers. More recently, his energies have been
focussed on helping to grow Data Science as a new scientific discipline, with an emphasis
on trying to help scientists everywhere to access all of the world's open data irrespective
of their local infrastructure.
Keynote 9 : Cloud computing for research in low and middle income countries
Dr. Hugh Shanahan
Royal Holloway, Department of Computer Science,
Centre for Systems and Synthetic Biology,
University of London, UK
Abstract:
Large, publicly available data sets present a challenge and
an opportunity for researchers based in Low and Middle Income Countries (LMIC).The challenge
for these researchers is how they can make use of such data sets given their poor connectivity
and infrastructure.
The opportunity is the ability to perform leading edge research using these data sets and hence
avoid having to invest substantial resources in generating the data sets. Cloud computing platforms
have the potential to closing the infrastructural gap. We discuss the possibility of the provision of
#cloud computing resources where the usage costs are controlled so that it is affordable for LMIC researchers.
As a case study the provision of a cloud computing resource for North African Bioinformatics is discussed
using a purely commercial cloud provider as an upper estimate of costs.
About the Speaker:
Dr. Hugh Shanahan is a Senior Lecturer in the
Department of Computer Science at Royal Holloway, University of London.
He completed a PhD in Lattice Field Theory, a computational branch of High Energy Physics,
at the University of Edinburgh in 1994. After completing post-doctoral research in this in Glasgow,
Cambridge and Tsukuba, he moved into Bioinformatics in 2000 working in Prof. Janet Thornton's lab
in UCL and then the EBI. In 2005 he started a lectureship at Royal Holloway where his interests
are in the analysis of large Biological data sets particularly using distributed
computing techniques.
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