IEEE Organizations related to Elastic Computing

Back to Top

No organizations are currently tagged "Elastic Computing"



Conferences related to Elastic Computing

Back to Top

2020 IEEE International Conference on Consumer Electronics (ICCE)

The International Conference on Consumer Electronics (ICCE) is soliciting technical papersfor oral and poster presentation at ICCE 2018. ICCE has a strong conference history coupledwith a tradition of attracting leading authors and delegates from around the world.Papers reporting new developments in all areas of consumer electronics are invited. Topics around the major theme will be the content ofspecial sessions and tutorials.


GLOBECOM 2020 - 2020 IEEE Global Communications Conference

IEEE Global Communications Conference (GLOBECOM) is one of the IEEE Communications Society’s two flagship conferences dedicated to driving innovation in nearly every aspect of communications. Each year, more than 2,900 scientific researchers and their management submit proposals for program sessions to be held at the annual conference. After extensive peer review, the best of the proposals are selected for the conference program, which includes technical papers, tutorials, workshops and industry sessions designed specifically to advance technologies, systems and infrastructure that are continuing to reshape the world and provide all users with access to an unprecedented spectrum of high-speed, seamless and cost-effective global telecommunications services.


ICC 2020 - 2020 IEEE International Conference on Communications

All topics relating to existing and emerging communications networking technologies.


2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)

Cluster Computing, Grid Computing, Edge Computing, Cloud Computing, Parallel Computing, Distributed Computing


2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)

Computer in Technical Systems, Intelligent Systems, Distributed Computing and VisualizationSystems, Communication Systems, Information Systems Security, Digital Economy, Computersin Education, Microelectronics, Electronic Technology, Education


More Conferences

Periodicals related to Elastic Computing

Back to Top

No periodicals are currently tagged "Elastic Computing"


Most published Xplore authors for Elastic Computing

Back to Top

Xplore Articles related to Elastic Computing

Back to Top

Deep Learning Based Parking Prediction on Cloud Platform

2018 4th International Conference on Big Data Computing and Communications (BIGCOM), 2018

With the explosive growth of the urban population, an increasing number of cities face the parking problem. Studies shows that more than 30% of the urban traffic is due to these "search berth" traffic, which aggravate the traffic congestion and create more traffic pollutants. The prediction for parking availability plays more and more important role in the urban traffic management ...



Educational Resources on Elastic Computing

Back to Top

IEEE.tv Videos

Lew Tucker, IEEE GLOBECOM'13 Keynote Address - Lew Tucker, CTO, Cisco Systems
Magnetics + Mechanics + Nanoscale = Electromagnetics Future - Greg P. Carman: IEEE Magnetics Distinguished Lecture 2016
The Design of Wearable Robots for Lower-Extremity Human Augmentation
Rebooting Computing: Changing Computing
Rebooting Computing: Parallelism in Computing
Q&A with Elie Track: IEEE Rebooting Computing Podcast, Episode 2
DOE Vision and Programmatic Activities in Advanced Computing Technologies: IEEE Rebooting Computing 2017
An Energy-efficient Reconfigurable Nanophotonic Computing Architecture Design: Optical Lookup Table - IEEE Rebooting Computing 2017
Energy Efficient Single Flux Quantum Based Neuromorphic Computing - IEEE Rebooting Computing 2017
A Unified Hardware/Software Co-Design Framework for Neuromorphic Computing Devices and Applications - IEEE Rebooting Computing 2017
Removing The Golden Handcuffs: Computing At The End of Moore's Scaling - IEEE Rebooting Computing Industry Summit 2017
How Bio-Design Automation Can Help Reboot Computing: Lessons, Challenges, and Future Directions - IEEE Rebooting Computing 2017
Special Evening Panel Discussion: AI, Cognitive Information Processing, and Rebooting Computing - IEEE Rebooting Computing 2017
Verification in the Nanoscale Era of Computing - IEEE Rebooting Computing 2017
Quantum Accelerators for High-Performance Computing Systems - IEEE Rebooting Computing 2017
Q&A with Michael Garner: IEEE Rebooting Computing Podcast, Episode 11
Asynchronous Ballistic Reversible Computing: IEEE Rebooting Computing 2017
EDA Challenges in Designing Computing Systems with postCMOS Devices - IEEE Rebooting Computing 2017
Nonlinear Dynamics and Chaos for Flexible, Reconfigurable Computing - IEEE Rebooting Computing 2017
On Thermodynamics and the Future of Computing - IEEE Rebooting Computing 2017

IEEE-USA E-Books

  • Deep Learning Based Parking Prediction on Cloud Platform

    With the explosive growth of the urban population, an increasing number of cities face the parking problem. Studies shows that more than 30% of the urban traffic is due to these "search berth" traffic, which aggravate the traffic congestion and create more traffic pollutants. The prediction for parking availability plays more and more important role in the urban traffic management system. However, existing parking prediction methods have lower accuracy or require a large number of data and computation cost, which make it difficult for parking prediction to be widely used. In this paper, we propose a deep learning based parking prediction system architecture on cloud platform. The LSTM network is used to predict the availability of parking space, which performs well in time series prediction. In order to improve the prediction accuracy, we comprehensively take more factors into account such as time of day, weather and holiday. In addition, we also propose an economical workflow based on the elastic computing service (ECS) provided by cloud platform. In the optimized workflow, the model training and updating processes need not to be in running state all the time, which can reduce avoidable computation and cost significantly. We implement the proposed system and deploy it on the Ali Could platform. Experimental results show that our prediction model based on LSTM network outperforms BP neural network, and our system has good scalability to apply to the cloud platform.



Standards related to Elastic Computing

Back to Top

No standards are currently tagged "Elastic Computing"