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CNKI期刊论文0611(94)
在“
Elsevier电子期刊
”中,
命中:
823
条,耗时:0.0479798 秒
在所有数据库中总计命中:
76,913
条
1.
Federated
cloud
resource
management
: Review and discussion
作者:
Misbah Liaqat
a
;
b
;
mibahaseeb@siswa.um.edu.my" class="auth_mail" title="E-mail the corresponding author
;
Victor Chang
c
;
Abdullah Gani
a
;
b
;
abdullah@um.edu.my" class="auth_mail" title="E-mail the corresponding author
;
Siti Hafizah Ab Hamid
a
;
Muhammad Toseef
d
;
Umar Shoaib
d
;
Rana Liaqat Ali
e
关键词:
Resource
management
;
Cloud
computing
;
Federated
cloud
s
刊名:Journal of Network and Computer Applications
出版年:2017
2.
Virtual machine
management
system
based
on the power saving algorithm in
cloud
作者:
Chao-Tung Yang
;
ctyang@thu.edu.tw
Author Vitae
;
Jung-Chun Liu
jcliu@thu.edu.tw
Author Vitae
;
Shuo-Tsung Chen
shough33@yahoo.com.tw
Author Vitae
;
Kuan-Lung Huang
peter760504@gmail.com
Author Vitae
关键词:
Power saving
;
VM
management
;
Live migration
;
Virtualization
;
Cloud
IaaS
刊名:Journal of Network and Computer Applications
出版年:2017
3.
Market-
based
autonomous resource and application
management
in private
cloud
s
作者:
Stefania Costache
a
;
s.costache@vu.nl
Author Vitae
;
Samuel Kortas
a
;
1
;
samuel.kortas@kaust.edu.sa
Author Vitae
;
Christine Morin
b
;
christine.morin@inria.fr
Author Vitae
;
Nikos Parlavantzas
c
;
nikos.parlavantzas@irisa.fr
Author Vitae
关键词:
Resource
management
;
Cloud
computing
;
Elastic scaling
;
Market mechanisms
;
Service Level Objective
;
HPC
刊名:Journal of Parallel and Distributed Computing
出版年:2017
4.
Novel fuzzy multi objective DVFS-aware consolidation heuristics for energy and SLA efficient resource
management
in
cloud
data centers
作者:
Ehsan Arianyan
ehsan_arianyan@aut.ac.ir
;
Hassan Taheri
;
htaheri@aut.ac.ir
;
Vahid Khoshdel
vahid.khoshdel@aut.ac.ir
关键词:
Cloud
computing
;
Data center
;
Energy consumption
;
Resource allocation
刊名:Journal of Network and Computer Applications
出版年:2017
5.
E-eco: Performance-aware energy-efficient
cloud
data center orchestration
作者:
Fá
;
bio D. Rossi
a
;
fabio.diniz@acad.pucrs.br
;
Miguel G. Xavier
a
;
Cé
;
sar A.F. De Rose
a
;
Rodrigo N. Calheiros
b
;
Rajkumar Buyya
b
关键词:
Cloud
application performance
;
Data center
;
Energy-efficient
management
.
刊名:Journal of Network and Computer Applications
出版年:2017
6.
New paradigms for information and services
management
in grid and pervasive computing
作者:
Marek R. Ogiela
a
;
mogiela@agh.edu.pl" class="auth_mail" title="E-mail the corresponding author
;
Leonard Barolli
b
;
barolli@fit.ac.jp" class="auth_mail" title="E-mail the corresponding author
关键词:
Pervasive computing
;
Grid
management
;
Remote services
;
Cloud
security
;
Big data analysis
刊名:Future Generation Computer Systems
出版年:2017
7.
A QoS-driven approach for
cloud
computing addressing attributes of performance and security
作者:
Bruno Guazzelli Batista
a
;
brunoguazzelli@unifei.edu.br
Author Vitae
;
Carlos Henrique Gomes Ferreira
b
Author Vitae
;
Danilo Costa Marim Segura
c
Author Vitae
;
Dionisio Machado Leite Filho
d
Author Vitae
;
Maycon Leone Maciel Peixoto
e
Author Vitae
关键词:
Cloud
computing
;
Quality of service
;
Performance evaluation
;
Security mechanisms
;
Resource
management
刊名:Future Generation Computer Systems
出版年:2017
8.
Supporting dynamic updates in storage
cloud
s with the Akl-Taylor scheme
作者:
Arcangelo Castiglione
a
;
arcastiglione@unisa.it
;
Alfredo De Santis
a
;
ads@unisa.it
;
Barbara Masucci
a
;
bmasucci@unisa.it
;
Francesco Palmieri
a
;
fpalmieri@unisa.it
;
Xinyi Huang
b
;
c
;
xyhuang81@gmail.com
;
Aniello Castiglione
;
a
;
castiglione@ieee.org
;
castiglione@acm.org
关键词:
Access control
;
Key assignment
;
Dynamic updates
;
Key
management
;
Cloud
storage
刊名:Information Sciences
出版年:2017
9.
A Compressive Sensing
based
privacy preserving outsourcing of image storage and identity authentication service in
cloud
作者:
Guiqiang Hu
a
;
Di Xiao
;
a
;
xiaodi_cqu@hotmail.com
;
Tao Xiang
a
;
Sen Bai
b
;
Yushu Zhang
c
关键词:
Compressive sensing
;
Cloud
security
;
Privacy preserving
;
Image storage
;
Watermark detection in the encrypted domain
刊名:Information Sciences
出版年:2017
10.
Development of
cloud
services for patient-specific simulations of blood flows through aortic valves
作者:
A. Kačeniauskas
a
;
arnas.kaceniauskas@vgtu.lt
;
arnas.kaceniauskas@gmail.com
;
R. Pacevič
b
;
V. Starikovičius
a
;
A. Maknickas
c
;
M. Sta&scaron
;
kūnienė
b
;
G. Davidavičius
d
关键词:
Cloud
computing
;
Software as a service
;
OpenStack
;
Docker
;
Xen
;
KVM
;
Aortic valve
;
Patient-specific simulations
;
Performance analysis
刊名:Advances in Engineering Software
出版年:2017
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