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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
572 Large Scale and Big Data
and cold, respectively) can accept a job is computed by VM provisioning sub-
models. The RPDE submodel uses these probabilities as input parameters. Output
measures such as rejection probability due to buffer full (P
block
), rejection prob-
ability due to insufcient capacity (P
drop
), and their sum (P
reject
) are obtained from
the RPDE submodel. Observe that P
block
computed in the RPDE submodel is used
as an input parameter in VM provisioning submodels. Also, outputs from VM
provisioning submodels (P
h
, P
w
, P
c
) are needed as input parameters to solve the
RPDE submodel. Hence, there is a cyclic dependency among the submodels. Such
dependency is resolved using xed-point iteration [14,17]. Proof of existence of a
sol
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Publisher Resources

ISBN: 9781466581500