Internet of Things: Software Platforms

2015 ◽  
pp. 55-70
Author(s):  
Umit Isikdag
Keyword(s):  
Internet Of Things ◽  
Software Platforms

scholarly journals INTEGRATION OF GEO-SENSOR FEEDS AND EVENT CONSUMER SERVICES FOR REAL-TIME REPRESENTATION OF IOT NODES

2016 ◽  
Vol XLI-B4 ◽  
pp. 267-274
Author(s):  
U. Isikdag ◽  
M. Pilouk
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
The Other ◽  
The Internet ◽  
System Architectures ◽  
Time Representation ◽  
New Approaches ◽  
Present Information ◽  
Consumer Services ◽  
Software Platforms

More and more devices are starting to be connected to the Internet every day. Internet-of-Things (IoT) is known as an architecture where online devices have the ability to communicate and interact with each other in real-time. On the other hand, with the development of IoT related technologies information about devices (i.e. Things) can be acquired in real-time by the humans. The implementation of IoT related technologies requires new approaches to be investigated for novel system architectures. These architectures need to have 3 main abilities. The first one is the ability is to store and query information coming from millions of devices in real-time. The second one is the ability to interact with large number of devices seamlessly regardless of their hardware and their software platforms. The final one is the ability to visualise and present information coming from millions of sensors in real time. The paper provides an architectural approach and implementation tests for storage, exposition and presentation of large amounts of real-time geo-information coming from multiple IoT nodes (and sensors).

scholarly journals Internet of Things and Healthcare Technologies: A Valuable Synergy from Design to Implementation

2018 ◽  
Vol 2 (3) ◽  
pp. 128-142
Author(s):  
Kalpna Gautam ◽  
Vikram Puri ◽  
Jolanda G Tromp ◽  
Chung Van Le ◽  
Nhu Gia Nguyen
Keyword(s):  
Internet Of Things ◽  
Research And Development ◽  
The Internet ◽  
The Future ◽  
Software Platforms ◽  
Healthcare Technologies ◽  
Internet Of Medical Things ◽  
Human Healthcare

Internet of Things (IoT) promises to be a reliable technology for the future. Healthcare is one of the fields which are rapidly developing new solutions. The synergy between IoT and healthcare promises to be very beneficial for human healthcare and evolved into a new field of research and development: the Internet of Medical Things (IoMT). This paper presents a review on various enabling IoMT technologies based on the latest publications and technology available in the marketplace. This article also analyzes the various software platforms available in the field of IoMT and the current challenges faced by the industry

scholarly journals IMAIoT Infrastructure Monitoring Agent for IoT: Um Agente Monitor de Infraestruturas para Ambientes de IoT

2019 ◽  
Author(s):  
Alexandre Heideker ◽  
Dener Ottolini Silva ◽  
Ivan Zyrianoff ◽  
João Henrique Kleinschmidt ◽  
Carlos Alberto Kamienski
Keyword(s):  
Internet Of Things ◽  
Fog Computing ◽  
The Internet ◽  
Monitoring Tool ◽  
Specific Domain ◽  
Infrastructure Monitoring ◽  
Software Platforms ◽  
Computing Node ◽  
Market Solutions

The concept of Internet of Things (IoT) comes with a large number of devices linked to the Internet, including urban, industrial and agriculture environment. Managing and monitoring these devices, whether virtual or physical, across multiple hardware and software platforms, is a major challenge. There are market solutions but for specific domain and platforms, overall closed and not customizable. We introduce the IMAIoT, an infrastructure monitoring tool that uses the high scalable IoT's protocol and architecture to publish its metrics. The tools versatility allows to monitor from physical machines in a datacenter to small devices such as fog computing node.

scholarly journals Implementation of Internet of things in a mobile Humanoid robot: A base for future of IOT enabled robotics applications

2018 ◽  
Vol 7 (4.36) ◽  
pp. 386
Author(s):  
D Jalamkar ◽  
Krishnakumar . ◽  
Arockia Selvakumar A
Keyword(s):  
Internet Of Things ◽  
Humanoid Robot ◽  
Complete Analysis ◽  
Software Platforms

 Internet of Things (IoT) is the most growing and trending technology recently in the field of mechatronics engineering. Main reason behind the growth of this technology is that it can be implemented to almost everything and everywhere. Internet of things has pretty much evolved from the “Next big thing” to the “biggest thing” happening around us right now. In this paper, a complete analysis is provided to understand the amalgamation of robotics and internet of things. Robotics and Internet of things are two big fields where successive research is happening. The integration of these two would make the monitoring, implementation way better. Hence keeping this in mind, a complete analysis is made, with the hardware, software, platforms available also taken into consideration. Also other factors such as simplicity, cost, and ease of development are taken into consideration.  

VIoLET

2021 ◽  
Vol 5 (3) ◽  
pp. 1-39
Author(s):  
Shrey Baheti ◽  
Shreyas Badiger ◽  
Yogesh Simmhan
Keyword(s):  
Internet Of Things ◽  
Large Scale ◽  
Network Performance ◽  
Analytical Modeling ◽  
Detailed Comparison ◽  
Data Generation ◽  
Hardware Cost ◽  
Management Effort ◽  
Software Platforms ◽  
Computing Environments

Internet of Things (IoT) deployments have been growing manifold, encompassing sensors, networks, edge, fog, and cloud resources. Despite the intense interest from researchers and practitioners, most do not have access to large-scale IoT testbeds for validation. Simulation environments that allow analytical modeling are a poor substitute for evaluating software platforms or application workloads in realistic computing environments. Here, we propose a virtual environment for validating Internet of Things at large scales (VIoLET), an emulator for defining and launching large-scale IoT deployments within cloud VMs. It allows users to declaratively specify container-based compute resources that match the performance of native IoT compute devices using Docker. These can be inter-connected by complex topologies on which bandwidth and latency rules are enforced. Users can configure synthetic sensors for data generation as well. We also incorporate models for CPU resource dynamism, and for failure and recovery of the underlying devices. We offer a detailed comparison of VIoLET’s compute and network performance between the virtual and physical deployments, evaluate its scaling with deployments with up to 1, 000 devices and 4, 000 device-cores, and validate its ability to model resource dynamism. Our extensive experiments show that the performance of the virtual IoT environment accurately matches the expected behavior, with deviations levels within what is seen in actual physical devices. It also scales to 1, 000s of devices and at a modest cloud computing costs of under 0.15% of the actual hardware cost, per hour of use, with minimal management effort. This IoT emulation environment fills an essential gap between IoT simulators and real deployments.

scholarly journals Opportunistic Mobile Sensing in the Fog

2018 ◽  
Vol 2018 ◽  
pp. 1-18 ◽  
Author(s):  
Rolando Menchaca-Mendez ◽  
Brayan Luna-Nuñez ◽  
Ricardo Menchaca-Mendez ◽  
Arturo Yee-Rendon ◽  
Rolando Quintero ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Distributed Algorithms ◽  
Mobile Sensing ◽  
Sensory Data ◽  
Sensing Applications ◽  
Sensing Platforms ◽  
Simulation Based ◽  
Detailed Simulation ◽  
Software Platforms ◽  
Personal Devices

The increasing adoption of mobile personal devices and Internet of Things devices is leveraging the emergence of a wide variety of opportunistic sensing applications. However, the designers of this type of applications face a set of technical challenges related to the limitations and heterogeneity of the hardware and software platforms and to the dynamics of the scenarios where they are deployed. In this paper, we introduce a Semantic-Centric Fog-based framework aimed at effectively and efficiently supporting this type of applications. The proposed framework is composed of local and distributed algorithms that support the establishment and coordination of sensing tasks in the Fog. First, it performs ontology-driven in-network processing to locate the most adequate devices to carry out a given sensing task and then, it establishes efficient multihop routes that are used to coordinate relevant devices and to transport the collected sensory data to Fog sinks. We present a set of theorems that prove that the proposed algorithms are correct and the results of a series of detailed simulation-based experiments in NS3 that characterize the performance of the proposed platform. The results show that the proposed framework outperforms traditional sensing platforms that are based on centralized services.

scholarly journals INTEGRATION OF GEO-SENSOR FEEDS AND EVENT CONSUMER SERVICES FOR REAL-TIME REPRESENTATION OF IOT NODES

2016 ◽  
Vol XLI-B4 ◽  
pp. 267-274
Author(s):  
U. Isikdag ◽  
M. Pilouk
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
The Other ◽  
The Internet ◽  
System Architectures ◽  
Time Representation ◽  
New Approaches ◽  
Present Information ◽  
Consumer Services ◽  
Software Platforms

More and more devices are starting to be connected to the Internet every day. Internet-of-Things (IoT) is known as an architecture where online devices have the ability to communicate and interact with each other in real-time. On the other hand, with the development of IoT related technologies information about devices (i.e. Things) can be acquired in real-time by the humans. The implementation of IoT related technologies requires new approaches to be investigated for novel system architectures. These architectures need to have 3 main abilities. The first one is the ability is to store and query information coming from millions of devices in real-time. The second one is the ability to interact with large number of devices seamlessly regardless of their hardware and their software platforms. The final one is the ability to visualise and present information coming from millions of sensors in real time. The paper provides an architectural approach and implementation tests for storage, exposition and presentation of large amounts of real-time geo-information coming from multiple IoT nodes (and sensors).

RFID Protocol Design, Optimization, and Security for the Internet of Things

2017 ◽  
Author(s):  
Alex X. Liu ◽  
Muhammad Shahzad ◽  
Xiulong Liu ◽  
Keqiu Li
Keyword(s):  
Internet Of Things ◽  
Design Optimization ◽  
Protocol Design ◽  
The Internet ◽  
The Internet Of Things ◽  
Rfid Protocol

Multimedia system and database simulation based on internet of things and cloud service platform

2020 ◽  
pp. 1-12
Author(s):  
Zhang Caiqian ◽  
Zhang Xincheng
Keyword(s):  
Internet Of Things ◽  
Cloud Service ◽  
Multimedia System ◽  
The Internet ◽  
Multimedia Database ◽  
Cloud Platform ◽  
Service Platform ◽  
Device Management ◽  
Cloud Service Platform ◽  
The Internet Of Things

The existing stand-alone multimedia machines and online multimedia machines in the market have certain deficiencies, so they cannot meet the actual needs. Based on this, this research combines the actual needs to design and implement a multi-media system based on the Internet of Things and cloud service platform. Moreover, through in-depth research on the MQTT protocol, this study proposes a message encryption verification scheme for the MQTT protocol, which can solve the problem of low message security in the Internet of Things communication to a certain extent. In addition, through research on the fusion technology of the Internet of Things and artificial intelligence, this research designs scheme to provide a LightGBM intelligent prediction module interface, MQTT message middleware, device management system, intelligent prediction and push interface for the cloud platform. Finally, this research completes the design and implementation of the cloud platform and tests the function and performance of the built multimedia system database. The research results show that the multimedia database constructed in this paper has good performance.

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