Text feature extraction based on deep learning: a review
H Liang, X Sun, Y Sun, Y Gao - EURASIP journal on wireless …, 2017 - Springer
Selection of text feature item is a basic and important matter for text mining and information
retrieval. Traditional methods of feature extraction require handcrafted features. To hand …
retrieval. Traditional methods of feature extraction require handcrafted features. To hand …
Draps: Dynamic and resource-aware placement scheme for docker containers in a heterogeneous cluster
Y Mao, J Oak, A Pompili, D Beer… - 2017 IEEE 36th …, 2017 - ieeexplore.ieee.org
Virtualization is a promising technology that has facilitated cloud computing to become the
next wave of the Internet revolution. Adopted by data centers, millions of applications that …
next wave of the Internet revolution. Adopted by data centers, millions of applications that …
Large-scale analysis of docker images and performance implications for container storage systems
Docker containers have become a prominent solution for supporting modern enterprise
applications due to the highly desirable features of isolation, low overhead, and efficient …
applications due to the highly desirable features of isolation, low overhead, and efficient …
Cyber-physical system enabled nearby traffic flow modelling for autonomous vehicles
B Chen, Z Yang, S Huang, X Du, Z Cui… - 2017 IEEE 36th …, 2017 - ieeexplore.ieee.org
We propose a nearby traffic flow modelling solution based on built-in Cyber-Physical System
(CPS) sensors of autonomous vehicles. Our goal is to enhance the offline route planning …
(CPS) sensors of autonomous vehicles. Our goal is to enhance the offline route planning …
Accelerating big data applications using lightweight virtualization framework on enterprise cloud
Hypervisor-based virtualization technology has been successfully used to deploy high-
performance and scalable infrastructure for Hadoop, and now Spark applications. Container …
performance and scalable infrastructure for Hadoop, and now Spark applications. Container …
AutoStream: Automatic stream management for multi-streamed SSDs
J Yang, R Pandurangan, C Choi… - Proceedings of the 10th …, 2017 - dl.acm.org
Multi-stream SSDs can isolate data with different life time to disparate erase blocks, thus
reduce garbage collection overhead and improve overall SSD performance. Applications …
reduce garbage collection overhead and improve overall SSD performance. Applications …
AutoTiering: automatic data placement manager in multi-tier all-flash datacenter
Z Yang, M Hoseinzadeh, A Andrews… - 2017 IEEE 36th …, 2017 - ieeexplore.ieee.org
In the year of 2017, the capital expenditure of Flash-based Solid State Drivers (SSDs) keeps
declining and the storage capacity of SSDs keeps increasing. As a result, the “selling point” …
declining and the storage capacity of SSDs keeps increasing. As a result, the “selling point” …
Large-scale analysis of the docker hub dataset
Docker containers have become a prominent solution for supporting modern enterprise
applications due to the highly desirable features of isolation, low overhead, and efficient …
applications due to the highly desirable features of isolation, low overhead, and efficient …
Fim: performance prediction for parallel computation in iterative data processing applications
Predicting performance of an application running on high performance computing (HPC)
platforms in a cloud environment is increasingly becoming important because of its influence …
platforms in a cloud environment is increasingly becoming important because of its influence …
A survey of big data machine learning applications optimization in cloud data centers and networks
SH Mohamed, TEH El-Gorashi… - arXiv preprint arXiv …, 2019 - arxiv.org
This survey article reviews the challenges associated with deploying and optimizing big data
applications and machine learning algorithms in cloud data centers and networks. The …
applications and machine learning algorithms in cloud data centers and networks. The …