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命中:
1
条,耗时:0.0709675 秒
1.
A cost-effective approach to improving performance of big genomic data analyses in clouds
作者:
Christopher Smowton
a
;
christopher.smowton@cruk.
manchester
.ac.uk"
class
="
auth
_mail"
title
="E-mail the
corresponding
auth
or
Author
Vitae
;
Andoena Balla
b
;
andoena@cs.ucy.ac.cy"
class
="
auth
_mail"
title
="E-mail the
corresponding
auth
or
Author
Vitae
;
Demetris Antoniades
b
;
danton@cs.ucy.ac.cy"
class
="
auth
_mail"
title
="E-mail the
corresponding
auth
or
Author
Vitae
;
Crispin Miller
a
;
crispin.miller@cruk.
manchester
.ac.uk"
class
="
auth
_mail"
title
="E-mail the
corresponding
auth
or
Author
Vitae
;
George Pallis
b
;
gpallis@cs.ucy.ac.cy"
class
="
auth
_mail"
title
="E-mail the
corresponding
auth
or
Author
Vitae
;
Marios D. Dikaiakos
b
;
mdd@cs.ucy.ac.cy"
class
="
auth
_mail"
title
="E-mail the
corresponding
auth
or
Author
Vitae
;
Wei
Xing
a
;
Wei.
Xing
@
manchester
.ac.uk"
class
="
auth
_mail"
title
="E-mail the
corresponding
auth
or
;
wei.
xing
@cruk.
manchester
.ac.uk"
class
="
auth
_mail"
title
="E-mail the
corresponding
auth
or
Author
Vitae
关键词:
Big data
;
Clouds
;
Performance
刊名:Future Generation Computer Systems
出版年:2017
1
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2017年(1)
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