Cloud Computing: from Networks to Big Data

aspiringtokΤεχνίτη Νοημοσύνη και Ρομποτική

15 Οκτ 2013 (πριν από 3 χρόνια και 10 μήνες)

70 εμφανίσεις

Cloud Computing: from Networks to Big Data


Date:


Thursday 31

Jan 2013

Time:


7.30
am



9.00am

Venue:

Musa Restaurant,
Firstsite, Colchester, CO1 1JH




Agenda


7.30am

-

8.00am

Registration and
b
reakfast



8.00am

-

8.15am

Prof
essor

David
Crawford

Head
of Business
Partnerships,
University of Essex

Introduction





8.15am

-

8.35am

Prof
essor

Kun
Yang

CSEE

University of Essex

Future Internet Technologies:

The Internet is going mobile
!

In this talk
,

I will present some of our
thoughts and solutions
for providing reliable mobile wireless
access to the broadband
Internet,
and how the
se

signals
will be
managed as they
pass through
o
perators’

future
cloud
networks
.
In the wireless access part
,

I will illustrate how different wireless
access technologies
(3G/4G, WiFi, WiMAX) work together to
provide your smart phones with continuous access to your
favourite online movies stored in the cloud
,

in a fast and cost
-
effective manner. Then I will showcase how a new network
technique called network
virtualization

can potentially help
physical network providers such as Vodafone to make more profit
,

by selling its resources to increasingly more popular virtual
network operators such as Lebara. Finally
,

I will
introduce you to

a future and scary network world where
there is no IP
-

note that
IP or Internet Protocol is the foundation of the modern data
network


which appears to be perfect for
T
witter and Google!





8.35am

-

8.50am

Prof
essor

Massimo
Poesio

CSEE

University of Essex

Big Data
:

Our digital world is producing evermore data.
It has long been
reali
s
ed that
‘smart’
computational and statistical methods are the
only way to extract
the really
useful snippets of information
from

the tremendous amount of data currently
produced
. Machine
learning techniques have traditionally
been
used to process raw
physical and biological data. Now increasingly

text analytics


is
becoming possible
-

the use of machine learning techniques to
classify text and extract useful information. In the talk, I wi
ll
discuss
and de
-
mystify
a number of text analytics projects in
which our lab is engaged, such as the use of classification
techniques to classify the logs of queries to digital libraries,

use of
entity disambiguation methods,

relation extraction techniqu
es and
sentiment analysis methods to extract information about products
from social networks
;

and
show how
our work
solves real
-
life
problems like

identifying deceptive reviews on Amazon
.





8.50am

-

9.00am

Questions and
a
nswers



9.00am

Close