The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Although Fog computing specifies a scalable architecture for computation, communication and storage, there is still a demand for better Quality of Service (QoS), especially for agile mobile services. Both industry and academia have been working on novel and efficient mechanisms for QoS provisioning in Fog computing. This paper presents a classification of services according to their QoS requirements...
During recent years, we have witnessed an explosion in the Internet of Thing (IoT) in terms of the number and types of physical devices. However, there are many limitations of these devices regarding their computing power, storage, and connection capabilities. They affect on-device processing of sensed data significantly. Centralized treatment of IoT data has proven challenging for many use cases...
IoT applications has some characteristics that set it apart from other fields mainly due to the multitude of different types of sensors producing data. In monitoring applications, data processing requires real-time or soft real-time responses in order to aid systems to make important decisions but also predictive analysis to leverage the potential of IoT by data mining vast datasets. This paper presents...
Some of the mobility challenges in the cities can be approached with the Internet of Things, Cloud Computing, and Fog Computing. In this work we consider the city as a system of systems and focus on the interaction of those entities with the mobility systems. A key element that allows this interaction is a vehicle on-board unit. In this work we address the interconnection, enabling technologies, interoperability,...
The idea of using Virtualization and Cloud as the underlying infrastructure for future automation systems in the context of the Internet of Things has been presented in the literature. This paper presents the assessment of the end-to-end performance of a distributed and virtualized architecture from the DDS communication middleware layer, running the performance test benchmark applications of the...
More and more real-time IoT applications such as smart cities or autonomous vehicles require big data analytics with reduced latencies. However, data streams produced from distributed sensing devices may not suffice to be processed traditionally in the remote cloud due to: (i) longer Wide Area Network (WAN) latencies and (ii) limited resources held by a single Cloud. To solve this problem, a novel...
Current big data cloud systems often use different data migration strategies from providers to customers. This often results in increased bandwidth usage and herewith a decrease of the performance. To enhance the performance often caching mechanisms are adopted. However, the implementations of these caching mechanisms are often dedicated solutions for specific applications and/or use case scenarios...
Current networking integrates common "Things" to the Web, creating the Internet of Things (IoT). The considerable number of heterogeneous Things that can be part of an IoT network demands an efficient management of resources. With the advent of Fog computing, some IoT management tasks can be distributed toward the edge of the constrained networks, closer to physical devices. Blockchain protocols...
ADARM is a framework for application-driven and adaptive resource allocation to enable large scale service-oriented cloud DCs. It builds and utilizes real-time application profiles and models to understand application requirements and performance characteristics. In addition, service-orientation enables ADARM to use uniform and flexible REST services to abstract, organize, monitor and control the...
High frequency physiological data has great potential to provide new insights for many conditions patients can develop in critical care when utilized by Big Data Analytics based Clinical Decision Support Systems, such as Artemis. Artemis was deployed in NICU at SickKids Hospital in Toronto in August 2009. It employs all the potentiality of big data. Both original data together with newly generated...
Fog computing is a new computational paradigm proposed by Cisco that subdues the shortcomings of cloud computing by transferring some of the core functions of cloud towards the network edge. Internet of Things (IOT) is a very promising technology, which are used heavily in many areas of life and with such a large and rapid spread produces a lot of challenges in IOT. As reported by Cisco, by the year...
The Internet of Things applications must carefully assess certain crucial factors such as the real-time and largely distributed nature of the “things”. Fog Computing provides an architecture to satisfy those requirements through nodes located from near the “things” till the edge. The problem comes with the integration of the Fog nodes into current infrastructures. This process requires the development...
We present an approach to model the deployment costs, including compute and IO costs, of Microservice-based applications deployed to a public cloud. Our model, which we dubbed CostHat, supports both, Microservices deployed on traditional IaaS or PaaS clouds, and services that make use of novel cloud programming paradigms, such as AWS Lambda. CostHat is based on a network model, and allows for what-if...
With the number of Phasor Measurement Units (PMUs) in the North American power grid scaling up into the thousands, system operators are gradually inclining towards distributed cyber-physical architectures for executing wide-area monitoring and control operations using Synchrophasors. Traditional centralized approaches, in fact, are anticipated to become untenable soon due to various factors such as...
Proliferation of the connected Internet of things (IoT) devices and applications like augmented reality have resulted in a paradigm shift in computation requirement and power management of these devices. Furthermore, processing enormous amounts of data generated by ubiquitous IoT devices and meeting real-time deadline requirements of novel IoT applications exacerbate the challenges in IoT design....
In recent times there has been significant advances in managing different types of sensors and industrial devices by IoT (Internet of Things) protocol. Along with the availability of massive amount of processing power provided by the Cloud new opportunities have emerged for complete automation of industrial devices. IoT has a vast application in different sectors and domains which are yet to be explored...
Due to wide availability of programmable, off-the-shelf sensors and advancements in Radio Frequency Identification Technologies as well as Wireless Sensor Networks, the Internet of Things (IoT) is making our lives smarter than ever before. The abundant growth in sensors triggers the spontaneous generation of IoT data at colossal scale which is referred to as big data. Processing, analyzing this data...
Green cloud computing has become a major performance measure for many infrastructure as a service (IaaS) cloud data centers. A popular way to reduce energy consumption for virtualized clouds is to dynamically consolidate virtual machines (VMs) and turning off as many idle hosts as possible. Upon the increase of the system's workloads, the closed hosts will be re-started to meet the scale-up demand...
The emergence of cloud computing and the Internet of Things (IoT) have given rise to a wealth of new opportunities for integrating heterogeneous systems and collecting massive data sets, whose analysis may lead to new information, insight, and knowledge. Building a scalable architecture for urban IoT environments is a complex task, primarily because of the massive amounts of data generated by sensor...
In this work, the proposed Intelligent Indoor Environment Monitoring System in Cloud (iDEMS) combines environmental sensors with ZigBee wireless sensor network technology to store and process environmental data in HBase. The environmental data collected by sensors will be stored and processed in the cloud using HBase, which supports storing large amounts of data, free to easily increase storage space...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.