Big Data As a Service (Bdaas)
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M2M Growth Necessitates a New Approach to Network Planning and Optimisation
Machina Research White Paper M2M growth necessitates a new approach to network planning and optimisation May 2015 2 1 Executive Summary Growing numbers of machine-to-machine (M2M) connected devices, as part of the emergence of an Internet of Things, will create challenges for Mobile Network Operators. The absolute volume of devices and mobile network traffic will be ostensibly quite manageable, with M2M accounting for just 19% of connections and 4% of traffic. However, traditional handsets, tablets and mobile broadband connections are relatively homogenous in their demands, in terms of usage, geographical location, criticality, security and numerous other criteria. M2M devices are much more diverse. As a result, M2M devices have the potential to place completely different demands on the network. This White Paper provides a snapshot of the growth of M2M/IoT in terms of numbers of devices and traffic, examines the ways in which M2M can put different and unexpected strains on the network, with a particular focus on connected cars, and finally offers some perspectives on how this might necessitate some changes in network engineering and operations. The key findings are as followings: The growth in M2M devices will be substantial, with cellular connections increasing from 250 million to 2.3 billion in the next decade. Traffic will grow even more quickly from 200 petabytes in 2014 to 3.2 exabytes in 2024. However, M2M will account for only 4% of all cellular traffic in 2024. M2M devices do not behave in the same way as handsets, tablets and other more established mobile devices. This may result in less manageable traffic patterns at particular times and in particular locations. -
“Smart” Stormwater Management
“Smart” Stormwater Management Structural Practices: The Futuristic Solutions Debabrata Sahoo, PhD, PE, PH Senior Engineer, Woolpert Inc, Columbia, SC North Carolina-American Public Works Association, October 21, 2019 Introduction Current Practices History Future Technologies Case Studies Agenda • Introduction • 5 Ws of SMART Stormwater Management • Current Practices in Stormwater/Flood Control and Mitigation • Issues with water quantity and quality • Stormwater/Flooding: Quality and Quantity • Issues with Stormwater/Flooding • Historical Flooding in South Carolina/North Carolina • Economic Impacts • Technologies to Integrate water, data, sensing and control • Internet of Waters, IoT, Sensors, Wireless Platforms, Machine to Machine Communication, Artificial Intelligence, Machine Learning, Deep Learning, Real-Time Systems, Cloud Computing, Big Data and Analytics • Application of Future Technologies in Stormwater/Flood Mitigation • Smart Stormwater Systems • Flash Flood Forecasting • Storm Sewer Controls • Big Data Analytics • Challenges and Opportunities Introduction Current Practices History Future Technologies Case Studies Current Practices in Stormwater Control and Mitigation • Use of design storms • Design to lower peak flows • Design to empty within 72 Hours • Store runoff for a minimum of 24 hours to get the water quality benefits Introduction Current Practices History Future Technologies Case Studies Current Practices in Stormwater Control and Mitigation Introduction Current Practices History Future Technologies Case Studies Stormwater/Flooding: -
A DASH7-Based Power Metering System
A DASH7-based Power Metering System Oktay Cetinkaya Ozgur B. Akan Next-generation and Wireless Communications Laboratory Department of Electrical and Electronics Engineering Koc University, Istanbul, Turkey Email: fokcetinkaya13, [email protected] Abstract—Considering the inability of the existing energy non-embedded structure. When considering the cost of HEMS, resources to satisfy the current needs, the right and efficient use power meters can be defined as cheap and cost effective of the energy has become compulsory. To make energy sustain- products, undoubtedly. ability permanent, management and planning activities should be carried out by arranging the working hours and decreasing There are several wireless communication protocols in liter- the energy wasting. For all these, power metering, managing ature to actualize the remote control of plugged gadgets. The and controlling systems or plugs has been proposed in recent communication between ‘master and slave’ or equivalently efforts. Starting from this point, a new DASH7-based Smart Plug ‘user and device’ is realized over any of these wireless (D7SP) is designed and implemented to achieve a better structure communication protocols based modules. 2.4 GHz frequency compared to ZigBee equipped models and reduce the drawbacks of current applications. DASH7 technology reaches nearly 6 times is frequently preferred for this goal and ZigBee can be referred farther distances in comparison with 2.4 GHz based protocols and as the most popular member of this band. With a brief provides multi-year battery life as a result of using limited energy definition, ZigBee is a low cost and high reliable technology during transmission. Performing in the 433 MHz band prevents based on IEEE 802.15.4 [1]. -
Using TOSCA for Automating the Deployment of Iot Environments
Internet of Things Out of the Box: Using TOSCA for Automating the Deployment of IoT Environments Ana C. Franco da Silva1, Uwe Breitenbücher2, Pascal Hirmer1, Kálmán Képes2, Oliver Kopp1, Frank Leymann2, Bernhard Mitschang1 and Ronald Steinke3 1Institute for Parallel and Distributed Systems, University of Stuttgart, Stuttgart, Germany 2Institute of Architecture of Application Systems, University of Stuttgart, Stuttgart, Germany 3Next Generation Network Infrastructures, Fraunhofer FOKUS, Berlin, Germany Keywords: Internet of Things, TOSCA, Application Deployment, Device Software. Abstract: The automated setup of Internet of Things environments is a major challenge due to the heterogeneous nature of the involved physical components (i.e., devices, sensors, actuators). In general, IoT environments consist of (i) physical hardware components, (ii) IoT middlewares that bind the hardware to the digital world, and (iii) IoT applications that interact with the physical devices through the middlewares (e.g., for monitoring). Setting up each of these requires sophisticated means for software deployment. In this paper, we enable such a means by introducing an approach for automated deployment of entire IoT environments using the Topology and Orchestration Specification for Cloud Applications standard. Based on topology models, all components involved in the IoT environment (devices, IoT middlewares, applications) can be set up automatically. Moreover, to enable interchangeability of IoT middlewares, we show how they can be used as a service to deploy them individually and on-demand for separate use cases. This enables provisioning whole IoT environments out-of- the-box. To evaluate the approach, we present three case studies giving insights in the technical details. 1 INTRODUCTION abstracting the complexity of the devices (Mineraud et al., 2016). -
Cloud Computing and Enterprise Data Reliability Luan Gashi University for Business and Technology, [email protected]
University of Business and Technology in Kosovo UBT Knowledge Center UBT International Conference 2016 UBT International Conference Oct 28th, 9:00 AM - Oct 30th, 5:00 PM Cloud Computing and Enterprise Data Reliability Luan Gashi University for Business and Technology, [email protected] Follow this and additional works at: https://knowledgecenter.ubt-uni.net/conference Part of the Communication Commons, and the Computer Sciences Commons Recommended Citation Gashi, Luan, "Cloud Computing and Enterprise Data Reliability" (2016). UBT International Conference. 56. https://knowledgecenter.ubt-uni.net/conference/2016/all-events/56 This Event is brought to you for free and open access by the Publication and Journals at UBT Knowledge Center. It has been accepted for inclusion in UBT International Conference by an authorized administrator of UBT Knowledge Center. For more information, please contact [email protected]. Cloud Computing and Enterprise Data Reliability Cloud Computing and Enterprise Data Reliability Luan Gashi UBT – Higher Education Institution, Lagjja Kalabria, 10000 p.n., Prishtine, Kosovo [email protected] Abstract. Cloud services offer many benefits from information and communication technology that to be credible must first be secured. To use the potential of cloud computing, data is transferred, processed and stored in the infrastructures of these service providers. This indicates that the owners of data, particularly enterprises, have puzzled when storing their data is done outside the scope of their control. Research conducted on this topic show how this should be addressed unequivocally. The provided information on the organization of cloud computing models, services and standards, with a focus on security aspects in protecting enterprise data where emphasis shows how data access is treated with reliability from providers of these services. -
Internet of Things, Smart Cities, Machine-To-Machine Communication, Analytics, Open Data, Technology, International Use Cases, Business Technology
International Journal of Internet of Things 2017, 6(4): 149-158 DOI: 10.5923/j.ijit.20170604.01 Analyzing the Role of the Intenet-of-Things in Business and Technologically-Smart Cities A. Shinn, K. Nakatani, W. Rodriguez* Florida Gulf Coast University, Fort Myers, Florida, USA Abstract This research analyzes and theorizes on the role that the Internet-of-Things will play in the expansion of business and technologically-smart cities. This study examines: a) the underlying technology, referred to as the Internet of Things that forms the foundation for smart cities; b) what businesses and government must do to successfully transition to a technologically-smart city; and c) how the proliferation of the Internet of Things through the emerging cities will affect local citizens. As machine-to-machine communication becomes increasingly common, new use cases are continually created, as is the case with the use of the Internet of Things in technologically-smart cities. Technology businesses are keeping a close pulse on end-users’ needs in order to identify and create technologies and systems to cater to new use cases. A number of the international smart city-specific use cases will be discussed in this paper along with the technology that aligns to those use cases. Keywords Internet of things, Smart cities, Machine-to-machine communication, Analytics, Open data, Technology, International use cases, Business technology 1. Introduction back to the 1800s in which centralized networks were designed to deliver energy and water and facilitate Since early humans settled to cultivate the land and trade transportation; however, “modern cities designed around with neighbours, forming larger and denser populations, it the private automobile, with single-function zoning, are has been mutually advantageous to organize in cities that becoming more congested, polluted, and unsafe” [1]. -
Nodemcu and Lora Based Temperature Monitoring with Oled
Turkish Journal of Physiotherapy and Rehabilitation; 32(2) ISSN 2651-4451 | e-ISSN 2651-446X NODEMCU AND LORA BASED TEMPERATURE MONITORING WITH OLED NAMGIRI SURESH, K UDAY KIRAN, P POORNA PRIYA, M ANIL KUMAR, B AKSHITHA, GOVINDA RAO, M SIVA KRISHNA Department of ECE,KLEF deemed to be University, Vaddeswaram, Andhra Pradesh,522502, India [email protected],[email protected],[email protected],anilkumar [email protected],[email protected], [email protected], [email protected] ABSTRACT In this day and age, the IoT is picking up incredible fame. Installed gadgets have become huge part of our lives. Individuals can screen, track, and do significantly more from Distance from a good ways. Various correspondence innovations have been accessible for collaboration between IoT gadgets over the most recent few years. The most mainstream are the Bluetooth Module and Wi-Fi Technology. Be that as it may, they have not many limitations, for example, restricted reach, restricted passages and high force utilization. So, Semtech is actualizing LoRa innovation to take care of every one of these issues. The gadget runs for longer than a year utilizing a solitary battery. Utilizing Lora Module SX1278 and ESP32 Wifi Module, we can make a Lora Transmitter and Receiver. The strategy for correspondence is highlight point and information is sent from one end (transmitter) to another end remotely (receiver). Keywords: Iot, LoRa, Bluetooth Module, Wi-fi Technology, Esp32 Wifi Module, Transmitter, Reciever. 1. INTRODUCTION The period of associated antiques is currently. IoT (Internet of Things) are of incredible criticalness in pretty much every region of this kind.As organizations, producing, purchaser hardware, car and significantly more. -
State of the Art in LP-WAN Solutions for Industrial Iot Services
sensors Review State of the Art in LP-WAN Solutions for Industrial IoT Services Ramon Sanchez-Iborra * and Maria-Dolores Cano Departamento de Tecnologías de la Información y las Comunicaciones, Universidad Politécnica de Cartagena, Cartagena 30202, Spain; [email protected] * Correspondence: [email protected]; Tel.: +34-968-325-953 Academic Editor: Gonzalo Pajares Martinsanz Received: 25 February 2016; Accepted: 9 May 2016; Published: 17 May 2016 Abstract: The emergence of low-cost connected devices is enabling a new wave of sensorization services. These services can be highly leveraged in industrial applications. However, the technologies employed so far for managing this kind of system do not fully cover the strict requirements of industrial networks, especially those regarding energy efficiency. In this article a novel paradigm, called Low-Power Wide Area Networking (LP-WAN), is explored. By means of a cellular-type architecture, LP-WAN–based solutions aim at fulfilling the reliability and efficiency challenges posed by long-term industrial networks. Thus, the most prominent LP-WAN solutions are reviewed, identifying and discussing the pros and cons of each of them. The focus is also on examining the current deployment state of these platforms in Spain. Although LP-WAN systems are at early stages of development, they represent a promising alternative for boosting future industrial IIoT (Industrial Internet of Things) networks and services. Keywords: Low-Power Wide Area Networks (LP-WAN); Machine-to-Machine (M2M) communications; Industrial Internet of Things (IIoT); Internet of Things (IoT); wireless sensor networks 1. Introduction Machine-to-Machine (M2M) networks and Industrial Internet of Things (IIoT) services are two key enabling approaches for future industrial networking [1]. -
DDS – the Proven Data Connectivity Standard for Iot TM WELCOME to the OBJECT MANAGEMENT GROUP® (OMG®)
TM DDS – The Proven Data Connectivity Standard for IoT TM WELCOME TO THE OBJECT MANAGEMENT GROUP® (OMG®) As an international, open membership, not-for-pro t tech- nology stan dards consortium, OMG Task Forces develop enterprise integra tion standards for a wide range of technol- ogies and an even wider range of industries. OMG’s roots are in middleware, and one of our most widely deployed standards is the Data-Distribution Service™ standard (DDS™). DDS has already been successfully de- ployed in private, hybrid and public cloud systems (includ- WELCOME TO TO OMG® WELCOME ing so-called “fog architectures”); in mobile systems and of course general web solutions. But today’s computing infrastructure is changing dramatically to support new requirements in design and structure. This is no where more evident than in the Internet of Things (IoT), where new types of machines driven by vast, complex industrial, distributed systems, can’t operate without connectivity. These new machines will transform our infrastructure into smart freeways, distributed power generation and autonomous driving cars, etc., revolutionizing the workplace and our lives for years to come. These new IoT systems need a technology like DDS because it directly addresses real-time systems. It explicitly manages the communications “data model.” Consequently, it’s a “data-centric” technol- ogy. No matter what application—from nancial trading platforms, to medical devices, to smart electrical grids, to exploration and production and to transportation—DDS nds the right data and then communicates it to its intended destination in a reliable, exible, fast, and secure manner. IoT will not only fuel innovative business strategies; it will also disrupt markets that have not been disrupted by the Internet before, bringing huge economic impacts in e ciency and competition. -
Geospatial Data AS a Service: Use Cases
GEOSPATIAL DATA AS A SERVICE USE CASES A Report of the National Geospatial Advisory Committee December 2018 Geospatial Data as a Service – Use Cases December 2018 Introduction This document was developed to complement the material in the NGAC report on Geospatial Data as a Service: A vital investment in American Enterprise and to provide real-world use cases of Data as a Service (DaaS) in action. DaaS opens new possibilities and innovation by improving access to and use of data. Users and producers across government, industry, open source, education, and the sciences are turning to DaaS to meet their huge appetite for information, exponential storage needs, data archiving and to minimize data duplication and reduce costs. To illustrate these points, we examined four case studies that provide more in-depth use cases from across Federal and local agencies and the private sector. These case studies showcase real world scenarios with large, distributed data sources to support a broad range of end user needs. The case studies presented are not intended to be an exhaustive list of examples of DaaS in use; there are many other relevant examples and programs of DaaS across the stakeholder community. To demonstrate use of DaaS for local governments and emergency response, we highlight the work of the Missouri Task Force One (MO-TF1) and Boone County Fire Protection District (BCFPD). MO-TF1 and BCFPD are using public cloud for basemap creation, data access, and delivery to enable a common operating picture of critical data during deployments. (Appendix 1 - Data as a Service & Cloud Computing: Disaster Response Just-in-Time Basemap Creation for Deployments). -
Cloud Computing and Big Data Is There a Relation Between the Two: a Study
International Journal of Applied Engineering Research ISSN 0973-4562 Volume 12, Number 17 (2017) pp. 6970-6982 © Research India Publications. http://www.ripublication.com Cloud Computing and Big Data is there a Relation between the Two: A Study Nabeel Zanoon1, Abdullah Al-Haj2, Sufian M Khwaldeh3 1 Department of Applied science, Al- Balqa Applied University/Aqaba, Jordan. 2 Faculty of Information Technology, University of Jordan/Aqaba, Jordan. 3Business Information Technology (BIT) Department, The University of Jordan/Aqaba, Jordan. 1Orcid ID: 0000-0003-0581-206X Abstract and combinations of each. Such data can be directly or indirectly related to geospatial information [3]. Communicating by using information technology in various ways produces big amounts of data. Such data requires Cloud computing refers to on-demand computer resources and processing and storage. The cloud is an online storage model systems available across the network that can provide a where data is stored on multiple virtual servers. Big data number of integrated computing services without local processing represents a new challenge in computing, resources to facilitate user access. These resources include especially in cloud computing. Data processing involves data data storage capacity, backup and self-synchronization [4]. acquisition, storage and analysis. In this respect, there are Most IT Infrastructure computing consist of services that are many questions including, what is the relationship between provided and delivered through public centers and servers big data and cloud computing? And how is big data processed based on them. Here, clouds appear as individual access in cloud computing? The answer to these questions will be points for the computing needs of the consumer. -
Is India Ready to Seize a USD 4.5 Trillion M2M Opportunity?
Machine-to-Machine: Vision 2020 Is India ready to seize a USD 4.5 trillion M2M opportunity? TeleTech 2013 www.deloitte.com/in Contents Foreword 3 Message from Industry Mentor 4 Overview 5 M2M from the Telecom Operators Perspective 9 M2M in Automobile 14 M2M in Agriculture 24 M2M in Home Appliances 29 M2M in Industrial Products Manufacturing 35 M2M in Energy & Utilities 40 M2M in Healthcare Sector 48 M2M in Retail Sector 53 About Deloitte 57 About CII 58 About MIT School of Telecom Management 59 2 Foreword Machine-to-machine (M2M) would make those things However, for M2M to gain acceptance among the possible and affordable, which are currently not feasible general populace, service providers and others players in to be delivered, in a vast country like India. Technologies the value chain are required to deliver applications that that enable M2M communication such as GPS unit, bring tangible value to peoples’ lives. RFID, GPRS modules, etc. have much to offer to the developing world towards improving quality of life. In Several barriers, however, have the potential to fact, these next-generation communication technologies slowdown the development and adoption of M2M may well originate in the larger growth markets of the applications. Deployment of IPv6, sensor energy, developing world, particularly – China and India. standards in terms of security, privacy and architecture, current low-cost business models, network upgrades M2M can help in achieving many Millennium and regulatory compliances will pose challenges for all Development Goals of the United Nations through players in the M2M ecosystem. Since M2M technologies useful applications for medical diagnosis and treatment, would cater to several industries such as healthcare, cleaner water, improved sanitation, energy conservation, education, automotive, agriculture, telecom networks the export of commodities and food security.