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检索条件"机构=Services Computing Technology and System Lab. Cluster and Grid Computing Lab."
481 条 记 录,以下是201-210 订阅
排序:
LibAMM: Empirical Insights into Approximate computing for Accelerating Matrix Multiplication  38
LibAMM: Empirical Insights into Approximate Computing for Ac...
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38th Conference on Neural Information Processing systems, NeurIPS 2024
作者: Zeng, Xianzhi Jiang, Wenchao Zhang, Shuhao National Engineering Research Center for Big DataTechnology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China Nanyang Technological University Singapore Singapore University of Technology and Design Singapore
Matrix multiplication (MM) is pivotal in fields from deep learning to scientific computing, driving the quest for improved computational efficiency. Accelerating MM encompasses strategies like complexity reduction, pa...
来源: 评论
An Efficient and Robust One-TimeMessage Authentication CodeScheme using Feature Extraction of Iris in Cloud computing
An Efficient and Robust One-TimeMessage Authentication CodeS...
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2014 International Conference on Cloud computing and Internet of Things (CCIOT)(2014年第一届云计算和物联网国际会议)
作者: Mohammed Abdulridha Hussain ZaidAmeen Abduljabbar Deqing Zou Hai Jin Ali A.Yassin ZaidAlaa Hussien Cluster and Grid Computing Lab Services Computing Technology and System Lab School of Computer Scien 1Cluster and Grid Computing Lab Services Computing Technology and System Lab School of Computer Scie University of Basrah BasrahIraq Cluster and Grid Computing Lab Services Computing Technology and System Lab School of Computer Scien
Cloud computing suffers from a number of problems in terms of security *** and integrity play an important role in the security field and numerous concerns have been raised to recognizeor protect any tampering with ex... 详细信息
来源: 评论
Efficient disk I/O scheduling with QoS guarantee for Xen-based hosting platforms  12
Efficient disk I/O scheduling with QoS guarantee for Xen-bas...
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12th IEEE/ACM International Symposium on cluster, Cloud and grid computing, CCgrid 2012
作者: Ling, Xiao Jin, Hai Ibrahim, Shadi Cao, Wenzhi Wu, Song Cluster and Grid Computing Lab. School of Computer Science and Technology Huazhong University of Science and Technology Wuhan 430074 China INRIA Rennes Bretagne Atlantique Rennes France
In this paper, we address the problem of allocating disk resources to guarantee specified latency and throughput targets of VMs while keeping efficient disk I/O. Accordingly, we present two-level scheduling framework,... 详细信息
来源: 评论
Efficient Hardware Redo Logging for Secure Persistent Memory  23
Efficient Hardware Redo Logging for Secure Persistent Memory
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23rd IEEE International Conference on High Performance computing and Communications, 7th IEEE International Conference on Data Science and systems, 19th IEEE International Conference on Smart City and 7th IEEE International Conference on Dependability in Sensor, Cloud and Big Data systems and Applications, HPCC-DSS-SmartCity-DependSys 2021
作者: Zhang, Zhan Yue, Jianhui Liao, Xiaofei Jin, Hai School of Computer Science and Technology Huazhong University of Science and Technology National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab Wuhan China Michigan Technological University Computer Science Department HoughtonMI United States
Write-ahead log and data encryption technologies are employed to ensure both crash consistency and data security for persistent memory (PM). The encryption/decryption of both data and log requests increase the memory ... 详细信息
来源: 评论
AFaVS: Accurate Yet Fast Version Switching for Graph Processing systems  39
AFaVS: Accurate Yet Fast Version Switching for Graph Process...
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39th IEEE International Conference on Data Engineering, ICDE 2023
作者: Zheng, Long Ye, Xiangyu Liu, Haifeng Wang, Qinggang Huang, Yu Gui, Chuangyi Yao, Pengcheng Liao, Xiaofei Jin, Hai Xue, Jingling Huazhong University of Science and Technology National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Laboratory Wuhan430074 China Zhejiang Lab Hangzhou311121 China Unsw School of Computer Science and Engineering Sydney Australia
Multi-version graph processing has been widely used to solve many real-world problems. The process of the multi-version graph processing typically includes: (1) a history graph version switching at a specific time and... 详细信息
来源: 评论
Towards pay-as-you-consume cloud computing
Towards pay-as-you-consume cloud computing
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International Conference on services computing
作者: Ibrahim, Shadi He, Bingsheng Jin, Hai Cluster and Grid Computing Lab. Huazhong University of Science and Technology Wuhan 430074 China School of Computer Engineering Nanyang Technological University Singapore 639798 Singapore
Cloud computing enables users to perform their computation tasks in the public virtualized cloud using a pay-as-you-go style. Current pay-as-you-go pricing schemes typically charge on the incurred virtual machine hour... 详细信息
来源: 评论
grid and Cooperative computing - GCC 2004 Workshops  1
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丛书名: Lecture Notes in Computer Science
1000年
作者: Hai Jin Yi Pan Nong Xiao Jianhua Sun
Welcome to the proceedings of GCC2004 and the city of Wuhan. grid computing has become a mainstream research area in computer science and the GCC conference has become one of the premier forums for presentation of new... 详细信息
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Pricing bilateral electricity trade between smart grids and hybrid green datacenters
Pricing bilateral electricity trade between smart grids and ...
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ACM SIGMETRICS International Conference on Measurement and Modeling of Computer systems, SIGMETRICS 2015
作者: Zhou, Zhi Liu, Fangming Li, Zongpeng Services Computing Technology and System Lab. School of Computer Science and Technology Huazhong University of Science and Technology China Department of Computer Science University of Calgary Canada
Datacenter demand response is envisioned as a promising approach for mitigating operational instability faced by smart grids. It enables significant potentials in peak load shedding and facilitates the incorporation o... 详细信息
来源: 评论
EdgeMove: Pipelining Device-Edge Model Training for Mobile Intelligence  23
EdgeMove: Pipelining Device-Edge Model Training for Mobile I...
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2023 World Wide Web Conference, WWW 2023
作者: Dong, Zeqian He, Qiang Chen, Feifei Jin, Hai Gu, Tao Yang, Yun School of Computer Science and Technology Huazhong University of Science and Technology China Department of Computing Technologies Swinburne University of Technology Australia School of Information Technology Deakin University Australia School of Computing Macquarie University Australia National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab Huazhong University of Science and Technology Wuhan430074 China
Training machine learning (ML) models on mobile and Web-of-Things (WoT) has been widely acknowledged and employed as a promising solution to privacy-preserving ML. However, these end-devices often suffer from constrai... 详细信息
来源: 评论
FedEdge: Accelerating Edge-Assisted Federated Learning  23
FedEdge: Accelerating Edge-Assisted Federated Learning
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2023 World Wide Web Conference, WWW 2023
作者: Wang, Kaibin He, Qiang Chen, Feifei Jin, Hai Yang, Yun School of Computer Science and Technology Huazhong University of Science and Technology China Department of Computing Technologies Swinburne University of Technology Australia School of Information Technology Deakin University Australia National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab Huazhong University of Science and Technology Wuhan430074 China
Federated learning (FL) has been widely acknowledged as a promising solution to training machine learning (ML) model training with privacy preservation. To reduce the traffic overheads incurred by FL systems, edge ser... 详细信息
来源: 评论