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Papers on “edge computing internet of things latency”

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1. R: A Language and Environment for Statistical Computing

   R Core Team · 2000 · 353,312 cites

   This introduction to R is derived from an original set of notes describing the S and S-Plus environments written in 1990-2 by Bill Venables and David M

2. Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications

   Ala Al‐Fuqaha, Mohsen Guizani, Mehdi Mohammadi, et al. · 2015 · IEEE Communications Surveys & Tutorials · 8,576 cites

   This paper provides an overview of the Internet of Things (IoT) with emphasis on enabling technologies, protocols, and application issues. The IoT is enabled by the latest developments in RFID, smart sensors, communication technologies, and Internet protocols. The basic premise is to have smart sensors collaborate directly without human involvement to deliver a new class of applications. The current revolution in Internet, mobile, and machine-to-machine (M2M) technologies can be seen as the first phase of the IoT. In the coming years, the IoT is expected to bridge diverse technologies to enable new applications by connecting physical objects together in support of intelligent decision making

3. Internet of Things for Smart Cities

   Andréa Zanella, Nicola Bui, Angelo Castellani, et al. · 2014 · IEEE Internet of Things Journal · 6,295 cites

   The Internet of Things (IoT) shall be able to incorporate transparently and seamlessly a large number of different and heterogeneous end systems, while providing open access to selected subsets of data for the development of a plethora of digital services. Building a general architecture for the IoT is hence a very complex task, mainly because of the extremely large variety of devices, link layer technologies, and services that may be involved in such a system. In this paper, we focus specifically to an urban IoT system that, while still being quite a broad category, are characterized by their specific application domain. Urban IoTs, in fact, are designed to support the Smart City vision, wh

4. Fog computing and its role in the internet of things

   Flavio Bonomi, Rodolfo Milito, Jiang Zhu, et al. · 2012 · 6,071 cites

   Fog Computing extends the Cloud Computing paradigm to the edge of the network, thus enabling a new breed of applications and services. Defining characteristics of the Fog are: a) Low latency and location awareness; b) Wide-spread geographical distribution; c) Mobility; d) Very large number of nodes, e) Predominant role of wireless access, f) Strong presence of streaming and real time applications, g) Heterogeneity. In this paper we argue that the above characteristics make the Fog the appropriate platform for a number of critical Internet of Things (IoT) services and applications, namely, Connected Vehicle, Smart Grid, Smart Cities, and, in general, Wireless Sensors and Actuators Networks (W

5. A Survey on Mobile Edge Computing: The Communication Perspective

   Yuyi Mao, Changsheng You, Jun Zhang, et al. · 2017 · IEEE Communications Surveys & Tutorials · 5,676 cites

   Driven by the visions of Internet of Things and 5G communications, recent years have seen a paradigm shift in mobile computing, from the centralized mobile cloud computing toward mobile edge computing (MEC). The main feature of MEC is to push mobile computing, network control and storage to the network edges (e.g., base stations and access points) so as to enable computation-intensive and latency-critical applications at the resource-limited mobile devices. MEC promises dramatic reduction in latency and mobile energy consumption, tackling the key challenges for materializing 5G vision. The promised gains of MEC have motivated extensive efforts in both academia and industry on developing the

6. iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments

   Harshit Gupta, A. V. Dastjerdi, S. Ghosh, et al. · 2016 · Software: Practice and Experience · 1,639 cites

   Internet of Things (IoT) aims to bring every object (eg, smart cameras, wearable, environmental sensors, home appliances, and vehicles) online, hence generating massive volume of data that can overwhelm storage systems and data analytics applications. Cloud computing offers services at the infrastructure level that can scale to IoT storage and processing requirements. However, there are applications such as health monitoring and emergency response that require low latency, and delay that is caused by transferring data to the cloud and then back to the application can seriously impact their performances. To overcome this limitation, Fog computing paradigm has been proposed, where cloud servic

7. A Survey on the Edge Computing for the Internet of Things

   Wei Yu, Fan Liang, Xiaofei He, et al. · 2018 · IEEE Access · 1,515 cites

   The Internet of Things (IoT) now permeates our daily lives, providing important measurement and collection tools to inform our every decision. Millions of sensors and devices are continuously producing data and exchanging important messages via complex networks supporting machine-to-machine communications and monitoring and controlling critical smart-world infrastructures. As a strategy to mitigate the escalation in resource congestion, edge computing has emerged as a new paradigm to solve IoT and localized computing needs. Compared with the well-known cloud computing, edge computing will migrate data computation or storage to the network “edge,” near the end users. Thus, a number of computa

8. The Promise of Edge Computing

   Weisong Shi, Schahram Dustdar · 2016 · Computer · 1,246 cites

   The success of the Internet of Things and rich cloud services have helped create the need for edge computing, in which data processing occurs in part at the network edge, rather than completely in the cloud. Edge computing could address concerns such as latency, mobile devices' limited battery life, bandwidth costs, security, and privacy.