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Large Scale and Big Data
book

Large Scale and Big Data

by Sherif Sakr, Mohamed Gaber
June 2014
Intermediate to advanced content levelIntermediate to advanced
636 pages
23h 13m
English
Auerbach Publications
Content preview from Large Scale and Big Data
440 Large Scale and Big Data
∀→
=−
ipw
p
i
d
p
estimates tablepredictions
1
2
- –—
Pr
()
--table
p
(14.3)
traffic
p
IP
predictions table
p
RT AbuseDtct
p
-
--
−−−− −−−−−−−
())
abusive files
p
--log
(14.4)
Real-time logging, denoted RT-Log(p) in Equation 14.1, nalizes the trafc log-
les
p
as p + 1 starts. Next, the log-les
p
are consumed, among other input, by the
estimation process, Est(p), to produce the estimates-table
p
mapping IPs that issued
trafc during p to their estimated sizes (Equation 14.2). Next, the algorithm for pre-
dicting sizes, Prd(p + 2), consumes the estimates-tables from a sliding window of
length w periods,* pw + 1 through p, to produce ...
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Publisher Resources

ISBN: 9781466581500