机构

• 计算技术研究所 [8]
• 长春光学精密机械与物... [3]

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• OAI收割 [11]

内容类型

• 期刊论文 [8]
• 会议论文 [3]

发表日期

• 2021 [2]
• 2019 [2]
• 2018 [1]
• 2017 [2]
• 2016 [1]
• 2013 [2]
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浏览/检索结果: 共11条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 PEFS: AI-Driven Prediction Based Energy-Aware Fault-Tolerant Scheduling Scheme for Cloud Data Center 期刊论文  OAI收割 IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, 2021, 卷号: 6, 期号: 4, 页码: 655-666 作者:  Marahatta, Avinab;  Xin, Qin;  Chi, Ce;  Zhang, Fa;  Liu, Zhiyong   |  收藏  |  浏览/下载：16/0  |  提交时间：2022/06/21 Energy efficiency  Deep learning  Fault tolerant systems  Energy consumption  Scheduling  Cloud computing  Predictive models  Neural networks  Cloud computing  cloud data center  scheduling  fault-tolerance  energy-efficiency  task failure  prediction  deep neural network   Criso: An Incremental Scalable and Cost-Effective Network Architecture for Data Centers 期刊论文  OAI收割 IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2021, 卷号: 18, 期号: 2, 页码: 2016-2029 作者:  Feng, Hao;  Deng, Yuhui   |  收藏  |  浏览/下载：38/0  |  提交时间：2021/12/01 Servers  Data centers  Topology  Fault tolerance  Fault tolerant systems  Routing  Computer architecture  Data center  incremental scalability  cost efficiency  interconnection network   Timeslot Switching-Based Optical Bypass in Data Center for Intrarack Elephant Flow With an Ultrafast DPDK-Enabled Timeslot Allocator 期刊论文  OAI收割 JOURNAL OF LIGHTWAVE TECHNOLOGY, 2019, 卷号: 37, 期号: 10, 页码: 2253-2260 作者:  Zhang, Yunquan;  Shang, Yu;  Guo, Bingli;  Huang, Shanguo   |  收藏  |  浏览/下载：74/0  |  提交时间：2019/08/16 Data center network  data plane development kit  mouse flow and elephant flow  optical timeslot switching  timeslot allocation algorithm   HSDC: A Highly Scalable Data Center Network Architecture for Greater Incremental Scalability 期刊论文  OAI收割 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2019, 卷号: 30, 期号: 5, 页码: 1105-1119 作者:  Zhang, Zhen;  Deng, Yuhui;  Min, Geyong;  Xie, Junjie;  Yang, Laurence T.   |  收藏  |  浏览/下载：75/0  |  提交时间：2019/08/16 Data center  interconnection network  network topology  hypercube  incremental scalability  routing algorithm   Deadline-aware rate allocation for IoT services in data center network 期刊论文  OAI收割 JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2018, 卷号: 118, 页码: 296-306 作者:  Shen, Bo;  Chilamkurti, Naveen;  Wang, Ru;  Zhou, Xingshe;  Wang, Shiwei   |  收藏  |  浏览/下载：24/0  |  提交时间：2019/12/10 Data center network  Big data  Online service  Internet of things  Incast congestion   Towards the Tradeoffs in Designing Data Center Network Architectures 期刊论文  OAI收割 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2017, 卷号: 28, 期号: 1, 页码: 260-273 作者:  Li, Dawei;  Wu, Jie;  Liu, Zhiyong;  Zhang, Fa   |  收藏  |  浏览/下载：30/0  |  提交时间：2019/12/12 Data center network (DCN)  power consumption  end-to-end delay  bisection bandwidth  dual-centric design   LazyCtrl: A Scalable Hybrid Network Control Plane Design for Cloud Data Centers 期刊论文  OAI收割 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2017, 卷号: 28, 期号: 1, 页码: 115-127 作者:  Zheng, Kai;  Wang, Lin;  Yang, Baohua;  Sun, Yi;  Uhlig, Steve   |  收藏  |  浏览/下载：30/0  |  提交时间：2019/12/12 Software defined networks  network control  data center  cloud computing   Adaptive Path Isolation for Elephant and Mice Flows by Exploiting Path Diversity in Datacenters 期刊论文  OAI收割 IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2016, 卷号: 13, 期号: 1, 页码: 5-18 作者:  Wang, Wei;  Sun, Yi;  Salamatian, Kave;  Li, Zhongcheng   |  收藏  |  浏览/下载：26/0  |  提交时间：2019/12/13 Data center network  multipath  path partition  flow scheduling   Weighted data fusion algorithm in the application of visual measurement network system (EI CONFERENCE) 会议论文  OAI收割 2012 International Conference on Mechatronics and Control Engineering, ICMCE 2012, November 29, 2012 - November 30, 2012, Guangzhou, China 作者:  Zhang Y.-c.;  Zhou J. 收藏  |  浏览/下载：24/0  |  提交时间：2013/03/25 For the problem on the deviation of actual measurement values between different network positions of visual measurement network system  so present the weighted data fusion algorithm. To distribute the weight coefficients according to the stability of eigenvector and fuse the coordinates  finally get the ultimate expression of fusion estimate. The experiment results present the maximum absolute tolerance of the fusion results is 0.039mm via the weighted data fusion algorithm  the maximum one via traditional data fusion algorithm of the center of point set is 0.056mm  Repeatedly measure 50 times  compared with the traditional algorithm  proposed weighted data fusion algorithm has much better precision and better stability. (2013) Trans Tech Publications  Switzerland.   Data normalization of single camera visual measurement network system (EI CONFERENCE) 会议论文  OAI收割 2012 International Conference on Information Technology and Management Innovation, ICITMI 2012, November 10, 2012 - November 11, 2012, Guangzhou, China 作者:  Zhang Y.-C.;  Zhou J. 收藏  |  浏览/下载：22/0  |  提交时间：2013/03/25 With the development of visual measurement system  Normalize the measured coordinates into the same world coordinate system  Apply in the three coordinate measuring machine(CMM) to have the simulation experiment  So the data normalization has the advantage of more high precision. (2013) Trans Tech Publications  the visual measurement system of single camera which applied in the imaging theory of optical feature points  then get the global data  the result indicates that the maximum absolute tolerance between the normalization coordinates via the center of point set and the ones measured by CMM directly is 0.058mm  Switzerland.  it has been widespread used in the modern production. Due to the limit of the environment in scene  and achieve the overall measurement  the visual measurement system of single camera could not measure the shield between the measured objects each other. Focus on this problem  But the one between the coordinate repeatedly measured at the position of one network control point is 0.066mm  present a kind of the the knowledge of measurement network based on the visual measurement of single camera  set up the measurement network system via the multi-control points. Measure the optical feature points in every network control point via the visual measurement system of single camera