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Autonomous Multi-dimensional Slicing for Large-Scale Distributed Systems [chapter]

Mathieu Pasquet, Francisco Maia, Etienne Rivière, Valerio Schiavoni
2014 Lecture Notes in Computer Science  
Slicing is a distributed systems primitive that allows to autonomously partition a large set of nodes based on node-local attributes.  ...  In this paper we propose an extension of the slicing primitive that allows multi-attribute distributed systems slicing .  ...  This work received support from the Portuguese Foundation for Science and Technology under grant SFRH/BD/71476/2010.  ... 
doi:10.1007/978-3-662-43352-2_12 fatcat:azl3myfudzgmta7w6fctxenxrm

Clutter Slices Approach for Identification-on-the-fly of Indoor Spaces [article]

Upinder Kaur, Praveen Abbaraju, Harrison McCarty, Richard M. Voyles
2021 arXiv   pre-print
The proposed clutter slices pipeline achieves a maximum accuracy of 93.6% on the presented clutter slices dataset.  ...  In this paper, we present a novel identification-on-the-fly approach for coarse classification of indoor spaces using the unique signature of clutter.  ...  Acknowledgment This work was supported, in part, by the Dept. of Energy, the NSF Center for Robots and Sensor for the Human Well-Being (RoSe-HUB) and by the National Science Foundation under grant CNS-  ... 
arXiv:2101.04262v1 fatcat:k7kjgpesdrhlxhbsxd5c5k5cyu

Guest Editorial: Multimedia Medical Device (MMD) Designing and Clinical Applications

Jiachen Yang, Zhihan Lv, Tengfei Yin
2016 Multimedia tools and applications  
'Error-Correcting Output Codes for Multi-label Emotion Classification' utilize multi-label output codes method to improve accuracy and robustness of multi-dimensional emotion recognition by training a  ...  'QoS Constraints-Based Energy-Efficient Model in Cloud Computing Networks for Multimedia Clinical Issues' studies the energy-efficient problem with QoS constraints in large-scale cloud computing networks  ... 
doi:10.1007/s11042-016-3916-y fatcat:lvxrebkwxjaprk4vem7l5gtwai

Wireless technologies for the connectivity of the future

Filipe D Cardoso, Vlatko Lipovac, Luis M Correia
2021 EURASIP Journal on Wireless Communications and Networking  
The main target was to collect and present quality research contributions in the most recent activities related to systems and networks beyond 5G, already presenting ideas for 6G.  ...  Through this Special Issue, the state-of-the-art is presented and the new challenges are highlighted, regarding the latest advances on systems and network perspectives that are already being positioned  ...  End-to-End Network Slice Architecture and Distribution Across 5G Micro-Operator Leveraging Multi-Domain and Multi-Tenancy, authored by Idris Badmus, Abdelquoddouss Laghrissi, Marja Matinmikko-Blue and  ... 
doi:10.1186/s13638-021-01980-w pmid:33972827 pmcid:PMC8100732 fatcat:yhi24tojfvazjk7ryiaynrlayu

Use of collaborative virtual environments in the mine countermeasures mission

Glen H. Wheless, Cathy M. Lascara, Donna Cox, Robert Patterson, Stuart Levy, Andrew Johnson, Jason Leigh, Ahbinov Kapoor, Jody L. Wood-Putnam
1999 Information Systems for Navy Divers and Autonomous Underwater Vehicles Operating in Very Shallow Water and Surf Zone Regions  
CAVERNSoft supports persistent CVEs for collaborative visualizations that involve supercomputers, massive data stores and the integration of additional 'real-time' observations collected by autonomous  ...  Cave5D provides visualization techniques to display multidimensional numerical data from atmospheric, oceanographic, and other similar models, including isosurfaces, contour slices, volume visualization  ...  Science Foundation, the Defense Advanced Research Projects Agency, and the US Department of Energy; specifically NSF awards CDA-9303433, CDA-9512272, NCR-9712283, CDA-9720351, and the NSF ASC Partnerships for  ... 
doi:10.1117/12.354656 fatcat:l5slgvrlzrharlmjhgbs7xwzv4

Distributed Slice Selection-based Computation Offloading for Intelligent Vehicular Networks

Jianhang Tang, Yiqun Duan, Yi Zhou, Jiangming Jin
2021 IEEE Open Journal of Vehicular Technology  
A customized resource provision scheme is required to improve the utilization of multi-dimensional resources.  ...  In this work, a slice selection-based online offloading (SSOO) algorithm is proposed for distributed intelligence in future vehicular networks.  ...  Distributed Intelligence Distributed intelligence enables the effective management and orchestration of the multi-dimensional resources for future vehicular networks [11] - [15] . Yao et al.  ... 
doi:10.1109/ojvt.2021.3087355 fatcat:otijw2shd5cijb32casdf35ksm

Slicing as a Distributed Systems Primitive

F. Maia, M. Matos, R. Oliveira, E. Riviere
2013 2013 Sixth Latin-American Symposium on Dependable Computing  
Slicing is presented as a complete, dependable and integrated distributed systems primitive for large-scale systems.  ...  Large-scale distributed systems appear as the major infrastructures for supporting planet-scale services. These systems call for appropriate management mechanisms and protocols.  ...  Acknowledgements The authors would like to thank Romain Rouvoy for our fruitful discussions which helped to improve the paper.  ... 
doi:10.1109/ladc.2013.21 dblp:conf/ladc/MaiaMOR13 fatcat:lh2drmokpzbfxmohjlqhxd33au

5G cellular: key enabling technologies and research challenges

Ekram Hossain, Monowar Hasan
2015 IEEE Instrumentation & Measurement Magazine  
Then the fundamental research challenges for resource management in 5G systems are highlighted before we conclude the article.  ...  The major research problems, which these new technologies breed, as well as the measurement and test challenges for 5G systems are also highlighted.  ...   Large-scale antenna arrays and mm-wave communication: It is envisioned that 5G systems will use very large-scale antenna arrays for directive communication.  ... 
doi:10.1109/mim.2015.7108393 fatcat:ezlcmvx7pfcejgbezeks4zrpzu

Zero-touch Continuous Network Slicing Control via Scalable Actor-Critic Learning [article]

Farhad Rezazadeh, Hatim Chergui, Christos Verikoukis
2021 arXiv   pre-print
for each slice.  ...  Artificial intelligence (AI)-driven zero-touch network slicing is envisaged as a promising cutting-edge technology to harness the full potential of heterogeneous 5G and beyond 5G (B5G) communication systems  ...  the computing resources and consequently scale horizontally for VNFs instantiation according to system states (network configurations and parameters).  ... 
arXiv:2101.06654v1 fatcat:ijtxmfamifdvno2vjkjcqb2m5e

Multi-scale Order Recurrence Plot based deterministic analysis on Heart Rate Variability in Congestive Heart Failure Assessment

Hu Yuhang, T. Zhu, M. Anpo, A. Sharifi
2021 E3S Web of Conferences  
Congestive heart failure (CHF) is a cardiovascular disease associated with the abnormal autonomic nervous system (ANS).  ...  Heart rate variability analysis (HRV) is the main method for the quantitative evaluation of autonomic nervous function.  ...  Converting one-dimensional physiological signals into a multi-scale order recurrence plot and calculating its MSORP_DET index can better analyze the nonlinear dynamic characteristics.  ... 
doi:10.1051/e3sconf/202127103063 fatcat:gx6o462m5bgfdiwewntjxju6mq

An intelligent self-sustained RAN slicing framework for diverse service provisioning in 5G-beyond and 6G networks

Jie Mei, Xianbin Wang, Kan Zheng
2020 Intelligent and Converged Networks  
At the gNodeB-level, each gNodeB adjusts the configuration of each slice in the cell at the large timescale.  ...  Furthermore, we utilize the transfer learning approach to enable the transition from a model-based control to an autonomic and self-learning RAN slicing control.  ...  With this knowledge, the SDN controller can predict large-scale user distribution as well as the hotspot area in the network.  ... 
doi:10.23919/icn.2020.0019 fatcat:6dlk62usvbfzjoisyrk5y3z23i

Magnetic resonance image segmentation based on multi-scale convolutional neural network

Jinglong Hao, Xiaoxi Li, Yanxia Hou
2020 IEEE Access  
INDEX TERMS Magnetic resonance (MR), subsequent operation, image segmentation, multi-scale convolutional neural network (MSCNN).  ...  Through multi-scale input, this paper overcomes the need to select specific input scales according to the size of the tumor, accommodate more neighborhood information from various angles, and adapt to  ...  In order to solve the problem that the 3D convolution network has a large amount of computation, and the 2D slice in a single view ignores the correlation between voxels, this paper adopts the multi-scale  ... 
doi:10.1109/access.2020.2964111 fatcat:vr5s4k5fonbefl5vfyh76elh5a

AI-assisted Network-slicing based Next-generation Wireless Networks

Xuemin Shen, Jie Gao, Wen Wu, Kangjia Lyu, Mushu Li, Weihua Zhuang, Xu Li, Jaya Rao
2020 IEEE Open Journal of Vehicular Technology  
The integration of communications with different scales, diverse radio access technologies, and various network resources renders next-generation wireless networks (NGWNs) highly heterogeneous and dynamic  ...  Emerging use cases and applications, such as machine to machine communications, autonomous driving, and factory automation, have stringent requirements in terms of reliability, latency, throughput, and  ...  multi-dimensional.  ... 
doi:10.1109/ojvt.2020.2965100 fatcat:xav27e6qrfghrh3pbbfwloy7ua

RESEARCH ON THE NETWORK MAP SERVICE TECHNOLOGY OF REMOTE SENSING IMAGE INTELLIGENT CONVERSION BASED ON GAN MODEL

D. Tang, W. Huang, Z. Zha, J. Yang, X. Zhou, C. Wang
2021 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Based on an improved generative adversarial networks algorithm (CGAN), this paper explores a technical way to realize map transformation through autonomous learning and training of remote sensing images  ...  This method has the advantages of long production cycle, high cost, large amount of engineering and complex technology, especially for the generation of multi-scale and multi-resolution tile map.Generative  ...  most promising methods for unsupervised learning in complex distribution in deep learning in recent years.  ... 
doi:10.5194/isprs-archives-xliii-b3-2021-285-2021 fatcat:5wo3je6s7vej3li5fzbsdb5gau

5G Cellular: Key Enabling Technologies and Research Challenges [article]

Ekram Hossain, Monowar Hasan
2015 arXiv   pre-print
The major research problems, which these new technologies breed, as well as the measurement and test challenges for 5G systems are also highlighted.  ...   Large-scale antenna arrays and mm-wave communication: It is envisioned that 5G systems will use very large-scale antenna arrays for directive communication.  ...  In addition, these large-scale antenna arrays need spherical wave modelling instead of the commonly used plane wave approximation [14] .  ... 
arXiv:1503.00674v1 fatcat:53k6a5hovvasfnloshuh6zpaeq
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