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Title: Cloud Computing: The Next
Revolution in Information Technology
Speaker:
Professor Dr. Rajkumar Buyya,
Director of CLOUDS Lab, The University of Melbourne, Australia
CEO, Manjrasoft Pvt Ltd,
Melbourne, Australia
Abstract:
Computing is being transformed to a model consisting of services that
are commoditised and delivered in a manner similar to utilities such as water,
electricity, gas, and telephony. In such a model, users access services
based on their requirements without regard to where the services are
hosted. Several computing paradigms have promised to deliver this utility
computing vision and they include Grid computing, P2P computing, and more recently
Cloud computing. The latter term denotes the infrastructure as a Cloud in
which businesses and users are able to access applications from anywhere in the
world on demand. Cloud computing delivers infrastructure, platform, and
software (application) as services, which are made available as
subscription-based services in a pay-as-you-go model to consumers. These
services in industry are respectively referred to as Infrastructure as a
Service (Iaas), Platform as a Service (PaaS), and Software as a Service (SaaS).
To realize Cloud computing potential, vendors such as Amazon, Google,
Microsoft, and IBM are starting to create and deploy Clouds in various
locations around the world. In addition, companies with global operations
require faster response time, and thus save time by distributing workload
requests to multiple Clouds in
various locations at the same time. This creates the need for
establishing a computing atmosphere for dynamically interconnecting and
provisioning Clouds from multiple domains within and across enterprises.
There are many challenges involved in creating such Clouds and Cloud
interconnections.
This keynote (1) presents the 21st century vision of computing and identifies
various IT paradigms promising to deliver the vision of computing utilities;
(2) defines the architecture for creating market-oriented Clouds and computing
atmosphere by leveraging technologies such as VMs;
(3) provides thoughts on market-based resource management strategies that
encompass both customer-driven service management and computational risk
management to sustain SLA-oriented resource allocation; (4) presents the work
carried out as part of our new Cloud Computing initiative, called Cloudbus: (i) Aneka, a software
system for providing PaaS within private or public
Clouds and supporting market-oriented resource management, (ii) internetworking
of Clouds for dynamic creation of federated computing environments for scaling
of elastic applications, (iii) creation of 3rd party Cloud brokering services
for content delivery network and e-Science applications and their deployment on
capabilities of IaaS providers such as Amazon and Nirvanix along with Grid mashups,
and (iv) CloudSim supporting modelling and simulation
of Clouds for performance studies; and (5) concludes with the need for
convergence of competing IT paradigms for delivering our 21st century vision
along with pathways for future research.
About the speaker:
Dr. Rajkumar Buyya is
Professor of Computer Science and Software Engineering; and Director of the Cloud
Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as the
founding CEO of Manjrasoft Pty Ltd., a spin-off
company of the University, commercialising its innovations in Grid and Cloud Computing.
He has authored and published over 300 research papers and four text books. The
books on emerging topics that Dr. Buyya edited
include, High Performance Cluster Computing (Prentice Hall, USA, 1999), Content
Delivery Networks (Springer, Germany, 2008), Market-Oriented Grid and Utility
Computing (Wiley, USA, 2009), and Cloud Computing: Principles and Paradigms
(Wiley, 2010). He is one of the highly cited authors in computer science and
software engineering worldwide (h-index=46, g-index=98, 11000+ citations).
Dr. Buyya has contributed to the creation of
high-performance computing and communication system software for Indian PARAM
supercomputers. He has pioneered Economic Paradigm for Service-Oriented
Distributed Computing and developed key Grid and Cloud Computing technologies
such as Gridbus and Aneka that power the emerging
e-Science and e-Business applications. Software technologies for Grid and Cloud
computing developed under Dr. Buyya's leadership have
gained rapid acceptance and are in use at several academic institutions and
commercial enterprises in 40 countries around the world.
Dr. Buyya has led
the establishment and development of key community activities, including
serving as foundation Chair of the IEEE Technical Committee on Scalable Computing
and four IEEE conferences (CCGrid, Cluster, Grid, and
e-Science). He has presented over 200 invited talks on his vision on IT Futures
and advanced computing technologies at international conferences and
institutions in Asia,
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Title: Efficient Web Browsing with
Perfect Anonymity Using Page Prefetching
Speaker:
Professor Wanlei Zhou
Chair
Professor of Information Technology and Head,
Email: wanlei@deakin.edu.au
www: www.deakin.edu.au/~wanlei
Abstract:
Anonymous web browsing is a hot topic with many applications since more
and more critical events are performed on the Internet that require
anonymity and privacy. The dominant strategy of achieving anonymity is packet
padding with dummy packets as cover traffic. However, this method introduces
two inherent problems: extra bandwidth and extra delay, it is therefore cannot
meet both perfect anonymity and strict delay constraints of web browsing. In
order to resolve these challenges, we creatively propose to use the predicted
web pages that users are going to access as the cover traffic rather than dummy
packets. Moreover, users may expect a tradeoff
between anonymity degree and the cost, we therefore
defined anonymity level as a metric to measure anonymity degrees. We
established a mathematical model for anonymity systems, and transformed the
anonymous communication problem into an optimization problem, as the result,
users can find tradeoffs among the two contradictory constraints. Based on the
model, we can describe and compare our proposal and the previous schemas in a
theoretical style. We believe that this model offers a solid foundation for
further researches in this area. The preliminary experiments on the real data
set showed the huge potential of the proposed strategy in terms of resource
saving.
About the speaker:
Professor Wanlei Zhou received the B.Eng (Computer Science and Engineering) and M.Eng (Computer Science and Engineering) degrees from
Harbin Institute of Technology,
Professor Zhou is a senior member of the IEEE and has published more than 200
papers in refereed international journals and refereed international
conferences proceedings. Professor Zhou has edited 5 books and authored 1 book.
He has also chaired a number of international conferences.
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