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Refinado por: Nome da Publicação: Cluster Computing remover
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Can machine learning model with static features be fooled: an adversarial machine learning approach
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Can machine learning model with static features be fooled: an adversarial machine learning approach

Taheri, Rahim ; Javidan, Reza ; Shojafar, Mohammad ; Vinod, P. ; Conti, Mauro

Cluster computing, 2020-12, Vol.23 (4), p.3233-3253 [Periódico revisado por pares]

New York: Springer US

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SNORT based early DDoS detection system using Opendaylight and open networking operating system in software defined networking
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SNORT based early DDoS detection system using Opendaylight and open networking operating system in software defined networking

Badotra, Sumit ; Panda, Surya Narayan

Cluster computing, 2021-03, Vol.24 (1), p.501-513 [Periódico revisado por pares]

New York: Springer US

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3
Deep neural architectures for large scale android malware analysis
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Deep neural architectures for large scale android malware analysis

Nauman, Mohammad ; Tanveer, Tamleek Ali ; Khan, Sohail ; Syed, Toqeer Ali

Cluster computing, 2018-03, Vol.21 (1), p.569-588 [Periódico revisado por pares]

New York: Springer US

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4
HasFS: optimizing file system consistency mechanism on NVM-based hybrid storage architecture
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HasFS: optimizing file system consistency mechanism on NVM-based hybrid storage architecture

Liu, Yubo ; Li, Hongbo ; Lu, Yutong ; Chen, Zhiguang ; Xiao, Nong ; Zhao, Ming

Cluster computing, 2020-12, Vol.23 (4), p.2501-2515 [Periódico revisado por pares]

New York: Springer US

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5
Network slicing to improve multicasting in HPC clusters
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Network slicing to improve multicasting in HPC clusters

Alsmadi, Izzat ; Khreishah, Abdallah ; Xu, Dianxiang

Cluster computing, 2018-09, Vol.21 (3), p.1493-1506 [Periódico revisado por pares]

New York: Springer US

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6
A resource recommendation method based on dynamic cluster analysis of application characteristics
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A resource recommendation method based on dynamic cluster analysis of application characteristics

Oh, Yoori ; Kim, Yoonhee

Cluster computing, 2019-03, Vol.22 (1), p.175-184 [Periódico revisado por pares]

New York: Springer US

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7
The resource running time manager for integrated environment
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The resource running time manager for integrated environment

Jung, Daeyong ; Jeong, Heeseok ; Kim, Jaesung ; Lee, Daewon ; Kim, Myungil

Cluster computing, 2019-01, Vol.22 (Suppl 1), p.1777-1786 [Periódico revisado por pares]

New York: Springer US

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8
Analysis of the structure of hive files and the implementation of pivotal operations for distributed computing environment
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Analysis of the structure of hive files and the implementation of pivotal operations for distributed computing environment

Su, Qing ; Tang, Yihao ; Li, Zhanyi ; Liu, Kai ; Cheng, Tianyi

Cluster computing, 2019-05, Vol.22 (Suppl 3), p.5675-5689 [Periódico revisado por pares]

New York: Springer US

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9
Reliability improved, high performance FIR filter design using new computation sharing multiplier: suitable for signal processing applications
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Reliability improved, high performance FIR filter design using new computation sharing multiplier: suitable for signal processing applications

Umadevi, S. ; Vigneswaran, T.

Cluster computing, 2019-11, Vol.22 (Suppl 6), p.13669-13681 [Periódico revisado por pares]

New York: Springer US

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10
The impact of system design parameters on application noise sensitivity
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The impact of system design parameters on application noise sensitivity

Ferreira, Kurt B. ; Bridges, Patrick G. ; Brightwell, Ron ; Pedretti, Kevin T.

Cluster computing, 2013-03, Vol.16 (1), p.117-129 [Periódico revisado por pares]

Boston: Springer US

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