Mark Goldstein, President of International Research Center gave the opening keynote address “Internet of Things – Transformative Megatrends for Sustainability” to the IEEE Conference on Technologies for Sustainability (IEEE SusTech, http://sites.ieee.org/sustech/) on October 10, 2016 in Phoenix, AZ. He explored the next Internet wave, the Internet of Things (IoT), expected to connect tens of billions of new sensors and devices in the coming years driving sustainability while transforming home, business, government, industrial, medical, transportation, and other complex ecosystems. This deck examines how IoT will be implemented and monetized creating new business models from pervasive sensor deployments and data gathering, accompanied by new privacy and security risks. Explore IoT’s roadblocks and operational challenges, emerging standards and protocols, gateway and wireless integration, and big data strategies and opportunities.
The proliferation of Internet of Things (IoT) and the success of rich cloud services have pushed the horizon of a new computing paradigm, edge computing, which calls for processing the data at the edge of the network. Edge computing has the potential to address the concerns of response time requirement, battery life constraint, bandwidth cost saving, as well as data safety and privacy. In this paper, we introduce the definition of edge computing, followed by several case studies, ranging from cloud offloading to smart home and city, as well as collaborative edge to materialize the concept of edge computing. Finally, we present several challenges and opportunities in the field of edge computing, and hope this paper will gain attention from the community and inspire more research in this direction.
Edge computing refers to the enabling technologies allowing computation to be performed at the edge of the network, on downstream data on behalf of cloud services and upstream data on behalf of IoT services. Here we define “edge” as any computing and network resources along the path between data sources and cloud data centers. For example, a smart phone is the edge between body things and cloud, a gateway in a smart home is the edge between home things and cloud, a micro data center and a cloudlet is the edge between a mobile device and cloud. The rationale of edge computing is that computing should happen at the proximity of data sources. From our point of view, edge computing is interchangeable with fog computing, but edge computing focus more toward the things side, while fog computing focus more on the infrastructure side. Edge computing could have as big an impact on our society as has the cloud computing.
The best surgeons demand the best equipment. Reach for the only 5mm laparoscope with an industry-first 1080p HD single-use camera. It’s not only designed to light the way into the future of surgical imaging, it’s better than what you’re using today. Ready to turn on the most brilliant light in the room?
Mark Goldstein, President of International Research Center gave the opening keynote address “Internet of Things – Transformative Megatrends for Sustainability” to the IEEE Conference on Technologies for Sustainability (IEEE SusTech, http://sites.ieee.org/sustech/) on October 10, 2016 in Phoenix, AZ. He explored the next Internet wave, the Internet of Things (IoT), expected to connect tens of billions of new sensors and devices in the coming years driving sustainability while transforming home, business, government, industrial, medical, transportation, and other complex ecosystems. This deck examines how IoT will be implemented and monetized creating new business models from pervasive sensor deployments and data gathering, accompanied by new privacy and security risks. Explore IoT’s roadblocks and operational challenges, emerging standards and protocols, gateway and wireless integration, and big data strategies and opportunities.
The proliferation of Internet of Things (IoT) and the success of rich cloud services have pushed the horizon of a new computing paradigm, edge computing, which calls for processing the data at the edge of the network. Edge computing has the potential to address the concerns of response time requirement, battery life constraint, bandwidth cost saving, as well as data safety and privacy. In this paper, we introduce the definition of edge computing, followed by several case studies, ranging from cloud offloading to smart home and city, as well as collaborative edge to materialize the concept of edge computing. Finally, we present several challenges and opportunities in the field of edge computing, and hope this paper will gain attention from the community and inspire more research in this direction.
Edge computing refers to the enabling technologies allowing computation to be performed at the edge of the network, on downstream data on behalf of cloud services and upstream data on behalf of IoT services. Here we define “edge” as any computing and network resources along the path between data sources and cloud data centers. For example, a smart phone is the edge between body things and cloud, a gateway in a smart home is the edge between home things and cloud, a micro data center and a cloudlet is the edge between a mobile device and cloud. The rationale of edge computing is that computing should happen at the proximity of data sources. From our point of view, edge computing is interchangeable with fog computing, but edge computing focus more toward the things side, while fog computing focus more on the infrastructure side. Edge computing could have as big an impact on our society as has the cloud computing.
The best surgeons demand the best equipment. Reach for the only 5mm laparoscope with an industry-first 1080p HD single-use camera. It’s not only designed to light the way into the future of surgical imaging, it’s better than what you’re using today. Ready to turn on the most brilliant light in the room?
• Smart Cities use the Internet of Things for large-scale, partially mission-critical systems
• Many decentralised sensors and information sources are
available in a city which can be used to improve services
• Sharing the information-base enables third parties to offer
Sharing the information-base enables third parties to offer
additional services
• Security, Privacy and Trust
Smart Home Using IOT simulation In cisco packet tracerKhyathiNandankumar
IoT projects are rare and the smart devices working with the help of IoT is afuture scope method,we can have bright future with this power saving method.
Edge computing is becoming a key architectural component for industrial IoT deployments. Gartner Group identifies edge computing as one of their top Tech Trends for 2019. The opportunity to process data at the edge of the network, closer to the sensors and actuators, before data is sent to the cloud results in improved security, more efficient data movement, and better performance for industrial IoT use cases.
This presentation will explore three aspects of edge computing:
The benefits of edge computing for industrial IoT use cases
The key features delivered in edge computing solutions
A survey of different edge computing options available to customers.
Presentation of Mr.Vibin Chander, CEO, Shabari Software Solutions, CBE. Delivered during the Faculty development Program on NS2 organized by Department of Computer Science, Rathinam College of Arts and Science (Autonomous), Eachanari, Coimbatore - 641021.
This presentation provides an introduction to the area of cloud computing. The presentation discusses the evolution of Cloud Computing, along with its benefits, and how B2B integration benefits from being deployed across a cloud environment. Updated May 2014
Edge Computing: An Extension to Cloud ComputingRamneek Kalra
This presentation was shared by Shally Gupta (PhD Research Scholar | IEEE Graduate Member) & Ramneek Kalra (IEEE Impact Creator) at IEEE MRU Student Branch, Faridabad, Haryana, India.
The next industrial revolution, sometimes referred to as Industry 4.0, is already ongoing, fueled by technology advancements in big data, automation and cyber physical systems. To achieve their full potential, these new processes and operating models require high-performance connectivity. Ultra-reliable low latency communication (URLLC) is a new set of 5G NR capabilities, expected for 3GPP Release 16, that can enable operators and enterprises to address a diverse range of high-performance industrial use-cases. This webinar will investigate 5G NR, including the support for private industrial networks and URLLC capabilities. Using the "factory of the future" concept as an example, it will show how 5G NR can help to transform industrial IoT by making it more dynamic, flexible and adaptable to market demand.
Voice over Internet Protocol (VoIP), is a technology that allows to make voice calls using a broadband Internet connection instead of a regular (or analog) phone line (PSTN).
• Smart Cities use the Internet of Things for large-scale, partially mission-critical systems
• Many decentralised sensors and information sources are
available in a city which can be used to improve services
• Sharing the information-base enables third parties to offer
Sharing the information-base enables third parties to offer
additional services
• Security, Privacy and Trust
Smart Home Using IOT simulation In cisco packet tracerKhyathiNandankumar
IoT projects are rare and the smart devices working with the help of IoT is afuture scope method,we can have bright future with this power saving method.
Edge computing is becoming a key architectural component for industrial IoT deployments. Gartner Group identifies edge computing as one of their top Tech Trends for 2019. The opportunity to process data at the edge of the network, closer to the sensors and actuators, before data is sent to the cloud results in improved security, more efficient data movement, and better performance for industrial IoT use cases.
This presentation will explore three aspects of edge computing:
The benefits of edge computing for industrial IoT use cases
The key features delivered in edge computing solutions
A survey of different edge computing options available to customers.
Presentation of Mr.Vibin Chander, CEO, Shabari Software Solutions, CBE. Delivered during the Faculty development Program on NS2 organized by Department of Computer Science, Rathinam College of Arts and Science (Autonomous), Eachanari, Coimbatore - 641021.
This presentation provides an introduction to the area of cloud computing. The presentation discusses the evolution of Cloud Computing, along with its benefits, and how B2B integration benefits from being deployed across a cloud environment. Updated May 2014
Edge Computing: An Extension to Cloud ComputingRamneek Kalra
This presentation was shared by Shally Gupta (PhD Research Scholar | IEEE Graduate Member) & Ramneek Kalra (IEEE Impact Creator) at IEEE MRU Student Branch, Faridabad, Haryana, India.
The next industrial revolution, sometimes referred to as Industry 4.0, is already ongoing, fueled by technology advancements in big data, automation and cyber physical systems. To achieve their full potential, these new processes and operating models require high-performance connectivity. Ultra-reliable low latency communication (URLLC) is a new set of 5G NR capabilities, expected for 3GPP Release 16, that can enable operators and enterprises to address a diverse range of high-performance industrial use-cases. This webinar will investigate 5G NR, including the support for private industrial networks and URLLC capabilities. Using the "factory of the future" concept as an example, it will show how 5G NR can help to transform industrial IoT by making it more dynamic, flexible and adaptable to market demand.
Voice over Internet Protocol (VoIP), is a technology that allows to make voice calls using a broadband Internet connection instead of a regular (or analog) phone line (PSTN).