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Devices with limited computing resources use smaller AI models to achieve low-latency inferencing. However, model accuracy is typically much lower than the accuracy of a bigger model that is trained and deployed in places where the computing resources are ...

Video surveillance systems are increasingly becoming common in many private and public campuses, city buildings, and facilities. They provide many useful smart campus/city monitoring and management services based on data captured from video sensors. ...

The outbreak of the corona virus disease 2019 (COVID-19) has caused serious harm to people’s physical and mental health. Due to the serious situation of the epidemic, a lot of negative energy information increases people’s psychological burden. However, ...

Towards the computing overload problem in cloud data center, we propose a computing offloading mechanism based on FPGA clusters for edge cloud. Firstly, the FPGA cluster we proposed is decoupled from traditional server, and FPGA BOX is used to power ...

The arrival of 5G together with advances in artificial intelligence, machine learning, cloud computing, virtualization, and service orchestration have created a ubiquitous computing model at the network edge, enabling a host of new, AI driven edge ...

The Internet of Things (IoT) application ecosystem is driven by third party developers outside of the telecom domain. Edge infrastructure of communication service providers will therefore be accessible to third party application providers and developers ...

Volumetric video is an emerging technology for immersive representation of 3D spaces that captures objects from all directions using multiple cameras and creates a dynamic 3D model of the scene. However, processing volumetric content requires high ...

This paper focuses on COSMOS - <u>C</u>loud enhanced <u>O</u>pen <u>S</u>oftware defined <u>MO</u>bile wireless testbed for city-<u>S</u>cale deployment. The COSMOS testbed is being deployed in West Harlem (New York City) as part of the NSF Platforms ...

The rapidly increasing number of instances and types of services, especially microservices, and the growing complexity of systems create uncertainty if the existing algorithms and solutions for such problems as service discovery or load balancing are ...

We propose a cost-effective microservice scaling to manage complex IoT and microservices for future edge computing applications. We design a small scale prototype to show it's basic functionality considering scaling cost and delay of mobile applications ...

Smart city construction brings great development opportunities for the video surveillance industry, but it also brings significant challenges. With the development of Internet of things and artificial intelligence technology, video computing across ...

A new computing paradigm using Distributed Intelligent Managed Elements (DIME) and DIME Network Architecture (DNA) is used to demonstrate globally interoperable public and private cloud network deploying cloud agnostic workloads. The workloads are ...

The past few years have seen a growing number of mobile and sensor applications that rely on Cloud support. The role of the Cloud is to allow these resource-limited devices to offload and execute some of their compute-intensive tasks in the Cloud for ...

The "cloud paradigm" can provide a wealth of sophisticated emergency communication services that are gamechangers in emergency response, but its current implementation is not suitable to the challenging environments in which these responses often take ...

The Network Innovators Community Event (GENI NICE) is the premier event for researchers to demonstrate and present research results and to discuss work in progress related to the NSF's Global Environment for Network Innovations (GENI) and related ...