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Leveraging Fog Computing for Scalable IoT Datacenter Using Spine-Leaf Network Topology

K. C. Okafor, Ifeyinwa E. Achumba, Gloria A. Chukwudebe, Gordon C. Ononiwu
2017 Journal of Electrical and Computer Engineering  
embedded applications.  ...  Its integration with a massively scaled spine-leaf (SL) network topology is highlighted. This is contrasted with a legacy multitier layered architecture housing network services and routing policies.  ...  Acknowledgments This research was carried out as an extended work on Distributed Cloud Computing Network for SGEMS/EETACP project commissioned by the Department of Electronic Engineering, University of  ... 
doi:10.1155/2017/2363240 fatcat:7x7xvrmuf5dm7ixlu4m33ryxta

Distributed Cerebellar Motor Learning: A Spike-Timing-Dependent Plasticity Model

Niceto R. Luque, Jesús A. Garrido, Francisco Naveros, Richard R. Carrillo, Egidio D'Angelo, Eduardo Ros
2016 Frontiers in Computational Neuroscience  
Purkinje cells to deep cerebellar nucleus cells) in close-loop simulations provide an explanation for the complex learning properties of the cerebellum in motor learning.  ...  Those two deep cerebellar nucleus inputs are thought to be also adaptive, embedding interesting properties in the framework of accurate movements.  ...  They are tested embedded in closeloop simulations. These close-loop simulations challenge the cerebellum with two tasks with different degrees of complexity.  ... 
doi:10.3389/fncom.2016.00017 pmid:26973504 pmcid:PMC4773604 fatcat:x66scwrrffgvvefchfxxjdlf4i

Control of a Humanoid NAO Robot by an Adaptive Bioinspired Cerebellar Module in 3D Motion Tasks

Alberto Antonietti, Dario Martina, Claudia Casellato, Egidio D'Angelo, Alessandra Pedrocchi
2019 Computational Intelligence and Neuroscience  
Three bidirectional long-term plasticity rules have been embedded for different connections and with different time scales.  ...  A bioinspired adaptive model, developed by means of a spiking neural network made of thousands of artificial neurons, has been leveraged to control a humanoid NAO robot in real time.  ...  Paolo Borzatta of e European House-Ambrosetti for having lent the NAO robot, which allowed us to perform the robotic experiments presented in this work. is research has received funding from the European  ... 
doi:10.1155/2019/4862157 pmid:30833964 pmcid:PMC6369512 fatcat:cler34bz4bg33f3mkih3g2mt5y

Fast convergence of learning requires plasticity between inferior olive and deep cerebellar nuclei in a manipulation task: a closed-loop robotic simulation

Niceto R. Luque, Jesús A. Garrido, Richard R. Carrillo, Egidio D'Angelo, Eduardo Ros
2014 Frontiers in Computational Neuroscience  
Recently, the role of additional forms of plasticity in the granular layer, molecular layer and deep cerebellar nuclei (DCN) has been considered.  ...  In particular, learning at DCN synapses allows for generalization, but convergence to a stable state requires hundreds of repetitions.  ...  Rossin for their technical support.  ... 
doi:10.3389/fncom.2014.00097 pmid:25177290 pmcid:PMC4133770 fatcat:i4weyf6j3jhuzjzxjy2e2v32xe

Next-Generation Data Center Network Enabled by Machine Learning: Review, Challenges, and Opportunities

Haiwei Dong, Ali Munir, Hanine Tout, Yashar Ganjali
2021 IEEE Access  
Despite the variety of works that surveyed ML for networking, to the best of our knowledge, none has focused on DCN, which makes this survey original.  ...  Recently both the industry and academia have focused on bringing intelligence to the control, automation, and management of DCNs.  ...  in real-time.  ... 
doi:10.1109/access.2021.3117763 fatcat:7xecjynxwnbmtbxnihet6gvjui

Distributed cerebellar plasticity implements adaptable gain control in a manipulation task: a closed-loop robotic simulation

Jesús A. Garrido, Niceto R. Luque, Egidio D'Angelo, Eduardo Ros
2013 Frontiers in Neural Circuits  
., 2012) by generating an analog cerebellar model embedded into a control loop connected to a robotic simulator.  ...  However, this plasticity alone cannot account for the broad dynamic ranges and time scales of cerebellar adaptation.  ...  Rossin for technical support.  ... 
doi:10.3389/fncir.2013.00159 pmid:24130518 pmcid:PMC3793577 fatcat:46bxlrl5mbg6xaryvmbe6n5zkm

The influence of datacenter usage on symmetry in datacenter network design

Iain A. Stewart, Alejandro Erickson
2017 Journal of Supercomputing  
Please consult the full DRO policy for further details.  ...  In short, we provide the graph-theoretic foundations for the design of server-centric datacenter networks so as to support network virtualization and communication patterns in cloud computing.  ...  That leaves simulation and topological metrics as the primary means to predict the real-world performance of DCNs.  ... 
doi:10.1007/s11227-017-2217-1 fatcat:fqlllq7oovakfnmxrcy4whkxua

Bandwidth-Guaranteed Resource Allocation and Scheduling for Parallel Jobs in Cloud Data Center

Zhen Li, Bin Chen, Xiaocheng Liu, Dandan Ning, Qihang Wei, Yiping Wang, Xiaogang Qiu
2018 Symmetry  
Through extensive simulation experiments on popular parallel workloads, our proposed TVC embedding algorithm AdaBa achieves up to 15 percent of improvement on accept rate compared with existing algorithms  ...  Our proposed BgMBF and BgMBFSDF also significantly outperform other popular scheduling algorithms integrated with AdaBa on average response time and average bounded slow down. users are being attracted  ...  Workload In our simulation, we use following two real parallel workloads logs from production systems: 1.  ... 
doi:10.3390/sym10050134 fatcat:ixeskivygrax7ou4j6aqrmg2ji

Resource Management in SDN-Based Cloud and SDN-Based Fog Computing: Taxonomy Study

Amirah Alomari, Shamala K. Subramaniam, Normalia Samian, Rohaya Latip, Zuriati Zukarnain
2021 Symmetry  
Due to its features regarding ease management, it is emerged in other fields such as cloud and fog computing in order to manage asymmetric communication across nodes, thus improving the performance and  ...  The features, methods, environment, dataset, simulation tool and main contributions are highlighted. Finally, the open issues related to both SDN clouds and SDN fogs are defined and discussed.  ...  DCN Real DCN traces from Wikipedia, Yahoo, and DCP. Simulation & testbed. • Power saving • Delay • Power saving with reduced computation overhead.  ... 
doi:10.3390/sym13050734 fatcat:hub3xuk5yjep5eayylr5k6zuve

A Survey on Resiliency Techniques in Cloud Computing Infrastructures and Applications

Carlos Colman-Meixner, Chris Develder, Massimo Tornatore, Biswanath Mukherjee
2016 IEEE Communications Surveys and Tutorials  
., US$ 25.5 billion in 2010 for North America).  ...  This ranges from designing and operating the facilities, servers, networks, to their integration and virtualization (e.g., also including resilience of the middleware infrastructure).  ...  However, resilient dynamic placement for real-time applications requires more strict time awareness to meet the SLO requirements.  ... 
doi:10.1109/comst.2016.2531104 fatcat:vzvkai7nkrbbda63fesn7zw4di


Chengchen Hu, Ji Yang, Zhimin Gong, Shuoling Deng, Hongbo Zhao
2014 Computer communication review  
The time of topology collecting, ID mapping from blueprint to real network, and ID/address/flow table issuing time experiments are 1.5ms, 3.2ms and 0.29ms respectively.  ...  SDN becomes very attractive to design a flexible and customized Data Center Networks (DCN) since Google had recently achieved huge impact by applying SDN to manage the inter-DC traffic [2] .  ... 
doi:10.1145/2740070.2631472 fatcat:xhqfkh6d3rgo7gmip7owkbqot4

Sustainable and Resilient Network Infrastructure Design for Cloud Data Centers [chapter]

Ritchie Qi, William Liu, Jairo Gutierrez, Mamta Narang
2017 Engineering and Management of Data Centers  
It adopts a 3D render engine to display large networks in real-time and to speed up the exploration of such networks.  ...  The simulation was conducted by increasing the failure ratio so that each DCN`s capacity for fault tolerance was revealed.  ...  Appendix B: Gephi Network Analysis Tool environment The distributed DCNs can be illustrated as follows in Gephi, there are four geographical fashioned DCNs interconnected by five main routers which are  ... 
doi:10.1007/978-3-319-65082-1_11 fatcat:qajosn3dvbe4hor4tq7xlecove

REMO: Resource efficient distributed network monitoring

Tao Li, Hani Salah, Mu He, Thorsten Strufe, Silvia Santini
2018 NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium  
It is very kind of Pascal Brückner, Tim Lackorzynski and Stephan Escher to build a magical doctor hat for me.  ...  Additionally, I would like to thank several students who worked with me for helping to explore research ideas and conducting several experiments.  ...  Depending on the timescale of operations and granularity of actions, real-time optimization and non-real-time planning can be further distinguished.  ... 
doi:10.1109/noms.2018.8406239 dblp:conf/noms/LiSHSS18 fatcat:4l5kgd46hfcjtjjv7a7apjtba4

A Survey of Big Data Machine Learning Applications Optimization in Cloud Data Centers and Networks [article]

Sanaa Hamid Mohamed, Taisir E.H. El-Gorashi, Jaafar M.H. Elmirghani
2019 arXiv   pre-print
However, the increasing traffic between and within the data centers that migrate, store, and process big data, is becoming a bottleneck that calls for enhanced infrastructures capable of reducing the congestion  ...  A Real-time heuristics for Energy Optimized Virtual Network Embedding (REOViNE) that considered the delay, clients locations, load distribution, and efficient energy profiles for data centers was proposed  ...  NUBOMEDIA was proposed in [203] as an elastic PaaS with integrated API stack to integrate Real-time Multimedia Communication (RTC) with multimedia big data processing such as video content analysis (  ... 
arXiv:1910.00731v1 fatcat:kvi3br4iwzg3bi7fifpgyly7m4


Sumit Badotra, S.N. Panda
2019 International Islamic University Malaysia Engineering Journal  
For example, the separation of the intelligence of the network devices within the data path can be useful in making networks agile and manageable.  ...  Platforms for providing the experimental setup for collaboration between SDN and cloud will ultimately be beneficial in setting up the SDN- enabled IoT cloud, and this is also discussed with the open research  ...  Simulation Platforms for Cloud Simulation is the first and initial tool for new research and experimental setups.  ... 
doi:10.31436/iiumej.v20i2.1130 fatcat:gakzaugo5jgepl6y2h6wzabuoe
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