IEEE Organizations related to Dew Computing

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No organizations are currently tagged "Dew Computing"



Conferences related to Dew Computing

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2020 59th IEEE Conference on Decision and Control (CDC)

The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.


2020 IEEE 29th International Symposium on Industrial Electronics (ISIE)

ISIE focuses on advancements in knowledge, new methods, and technologies relevant to industrial electronics, along with their applications and future developments.


2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

All areas of ionizing radiation detection - detectors, signal processing, analysis of results, PET development, PET results, medical imaging using ionizing radiation


ICC 2020 - 2020 IEEE International Conference on Communications

All topics relating to existing and emerging communications networking technologies.


IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium

All fields of satellite, airborne and ground remote sensing.


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Periodicals related to Dew Computing

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No periodicals are currently tagged "Dew Computing"


Most published Xplore authors for Dew Computing

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Xplore Articles related to Dew Computing

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Smart Virtualization for IoT

2018 IEEE International Conference on Smart Cloud (SmartCloud), 2018

Nowadays, the cloud hosts the majority of IoT virtualizations. This approach depends on an active Internet connection. The question that emerges is how we can move those virtualizations to the edge of IoT networks without losing the power and flexibility from the cloud but fulfilling the requirements of constrained and pervasive environments. This research presents an architecture that integrates dew ...


On Designing a Generic Framework for Big Data-as-a-Service

2018 1st International Conference on Advanced Research in Engineering Sciences (ARES), 2018

Data is the heart of any system, which is perhaps the reason why big data is such a `big' deal. With the growing application domain of the technology, research towards big data analytical applications' development has gained immense attention lately. The cost-effective and scalable nature of Cloud Computing has made it an obvious infrastructural choice. However, until APIs are developed ...



Educational Resources on Dew Computing

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IEEE.tv Videos

Envisioning a Smart Public Safety Ecosystem - Robert Dew - 5G Technologies for Tactical and First Responder Networks 2018
Rebooting Computing: Parallelism in Computing
Part 3 of 3: Workshop on 5G Technologies for Tactical and First Responder Networks
Rebooting Computing: Changing Computing
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
Q&A with Elie Track: IEEE Rebooting Computing Podcast, Episode 2
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
DARPA's Vision for the Future of Computing: IEEE Rebooting Computing 2017
From the Quantum Moore's Law toward Silicon Based Universal Quantum Computing - IEEE Rebooting Computing 2017
On-chip Passive Photonic Reservoir Computing with Integrated Optical Readout - IEEE Rebooting Computing 2017
Towards Truly Adiabatic Operation: IEEE Rebooting Computing 2017
Q&A with Bruce Kraemer: IEEE Rebooting Computing Podcast, Episode 24

IEEE-USA E-Books

  • Smart Virtualization for IoT

    Nowadays, the cloud hosts the majority of IoT virtualizations. This approach depends on an active Internet connection. The question that emerges is how we can move those virtualizations to the edge of IoT networks without losing the power and flexibility from the cloud but fulfilling the requirements of constrained and pervasive environments. This research presents an architecture that integrates dew computing to provision virtual resources at the edge level. This architecture proposes smart virtual resources deployed towards edge devices to provide data views and IoT services to users. This approach goes beyond traditional IoT virtualizations and builds distributed virtual systems that include the benefits of the cloud, fog, and dew computing to provide services directly at the edge level.

  • On Designing a Generic Framework for Big Data-as-a-Service

    Data is the heart of any system, which is perhaps the reason why big data is such a `big' deal. With the growing application domain of the technology, research towards big data analytical applications' development has gained immense attention lately. The cost-effective and scalable nature of Cloud Computing has made it an obvious infrastructural choice. However, until APIs are developed for provisioning analytical services, big data research will not meet its desired outcome. Moreover, existing frameworks are application- specific or cater to only a specific set of requirements. This paper proposes a framework for creating a technological stack for Big Data-as-a-Service. Besides this, it also presents criteria for technology selection, which is based on the identification of computing and data models for the application. Therefore, the proposed framework is application-independent and accommodates all the segments of the big data lifecycle.



Standards related to Dew Computing

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No standards are currently tagged "Dew Computing"


Jobs related to Dew Computing

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