The upshot of these changes is that getting real-time insights from streaming data has gone from promise to widespread practice. In the past, in order to handle data analysis at scale, data was collected and analyzed in batch. Streaming Media Architectures, Techniques, and Applications: Recent Advances spans a number of interdependent and emerging topics in streaming media. The fundamental components of a streaming data architecture are: Data Source – Producer. By default, this mode displays a single column of producer tool tabs (e.g. What’s the difference in a batch versus a streaming process? You can edit this template and create your own diagram. They are said to form a peer-to-peer network of nodes. These actions might include the transactions involving a credit card or the sequence of events related to logins for a banking website. Newer car models make use of environmental data for real-time adjustments in traction or steering. Connectivity is particularly important for high-performance automobiles. It’s natural, then, to want to collect and analyze information from these events as a stream of data. Being able to respond to life as it happens is a powerful advantage, and streaming systems can make that possible. In conclusion, we aim to acquaint the scholars and practitioners involved in the research and development of streaming media with such a most updated reference on a wide range of related topics. Manufacturers may sell services that draw insights from this data or in some cases sell or license access to the data itself. Healthcare provides a good example of the way multiple consumers might want to use the same data stream at different times. Data such as information about train speed, location, and function as well as track conditions are transmitted as continuous streams of data that make it possible for computer applications to provide low-latency insights as events happen. Other desired services for connected cars include being able to get software updates from the car manufacturer, such as an update to make warning signals operate correctly. We were unable to load the diagram. To Support Customers in Easily and Affordably Obtaining the Latest Peer-Reviewed Research, Teaching Diverse Youth Literature to Pre-Service Professionals, Recent Developments in Individual and Organizational Adoption of ICTs, Prospects and Challenges of Community-Based Tourism and Changing Demographics, Handbook of Research on the Platform Economy and the Evolution of E-Commerce, Universal Codes of Media in International Political Communications, Copyright © 1988-2020, IGI Global - All Rights Reserved, Additionally, Enjoy an Additional 5% Pre-Publication Discount on all Forthcoming Reference Books. Again, I am noob when it comes to media servers and stuff. How to Start Live Streaming: Equipment, Platforms, and More Previous rates of message throughput for persistent message queues were in the range of thousands of messages per second. HTTP Streaming Architecture. These techniques are not limited to retail stores. This audit could happen at a later time and might even be unplanned. Coding and transmission definitely lie in the core position in streaming media, and these research topics have been extremely active in recent years. Specifically, the recent standard H.264/SVC, i.e., the scalable extension of the widely used H.264/AVC coding scheme, and its deployment for adaptive streaming, the combined activities of content adaptation and streaming, are considered. As a form of management of streaming, distributed sourcing via peer-to-peer streaming over diverse paths is explored within VANETs. Overview. Section 2 (Chapter 6 to Chapter 10) addresses wireless and mobile video. What would a typical server architecture look like? The described protocol is characterized by the robustness to data losses and the low-start times. Nowadays, streaming media based services are becoming the mainstream of multimedia consumption. As can be seen from the above introductions, this book spans a number of interdependent and emerging topics in streaming media. Perhaps the most disruptive idea presented here is that streaming architecture should not be limited to specialized real-time applications. In this solution, video is captured by a video camera and sent to a channel input endpoint. Waze is just one straightforward example of the time-value of information: the value of that particular knowledge decreases quickly with elapsed time. An Huawei Cloud architecture diagram is a visualization of your cloud-based solution that uses Huawei Cloud. Huge volumes of sensor data for a wide variety of parameters are collected and stored, mainly intended to be used in case of an accident or malfunction. From the application point of view, the proposed protocol appears as a transport protocol similar to TCP or UDP.Section 4 (Chapter 15 to Chapter 17) presents some application-driven research on streaming media. Coding and transmission definitely lie in the core position in streaming media, and these research topics have been extremely active in recent years. In Chapter 14 “A chunkless peer-to-peer transport protocol for multimedia streaming”, the authors describe a P2P transport protocol suited for multimedia streaming. The online AWS diagram tool provides you with full set of latest AWS icons (2019 AWS icons) to use in your AWS Architecture design. In the case of the modern and near-future personal automobile, it will likely be exchanging information with several different audiences. Equipment such as pumps or turbines are now loaded with sensors providing a continuous stream of event data and measurements of many parameters in real or near-real time, and many new technologies and services are being developed to collect, transport, analyze, and store this flood of IoT data. Data from many sources can be streamed into a modern data platform and used by a variety of consumers almost immediately or at a later time as needed. Moreover, some studies of SVC over WLAN using cross-layer design techniques are presented. What all this means is that streaming data is an essential part of the success of the IoT at many levels. Streaming data is not just for highly specialized projects. A two-dimensional scalable multiple description coding (2-D SMDC) scheme is presented. This is true in part because the new systems decouple dependencies between processes that deliver data and processes that make use of data. The aim is to exploit streaming data and new technologies to be able to respond to life in the moment. Also any recommendations for a video player? The aim of this chapter is to exploit the unique characteristics of SVC, to enhance personalized experience and to improve system performance in a wireless transmission system. ). Error resilience and path diversity are presented as the key to robust streaming. This is not a problem if the messaging software has the needed capabilities to support a durable, replayable record. One of the reasons modern systems can now more easily handle streaming data is improvements in the way message-passing systems work. Either way, timing is the key. One of the interesting aspects of this example is that we may want the data stream to serve as a durable, auditable record of the test results for several purposes, such as an insurance audit (labeled as use type “C” in the figure). But even if the coupon was well-matched to the customer’s interest, there was a large gap in time and focus between receiving it via mail or newspaper and being able to act on it by going to the store. AWS provides a real-time subtitling solution for live streaming video content that combines Amazon Transcribe, Amazon Translate, and AWS Lambda to build a serverless architecture that automatically generates multi-language subtitles for your live streaming videos. In a typical configuration, a hardware encoder takes audio-video input, encodes it as HEVC video and AC-3 audio, and outputs a fragmented MPEG-4 file or an MPEG-2 transport stream. But for many use cases, batch does not sufficiently reflect the way life happens. Now, however, that situation is changing and changing fast. The chapter also discusses operating system methods to support adaptive multimedia. In our healthcare example, there are multiple data sources coming from medical tests such as EKGs, blood panels, or MRI machines that feed in a stream of test results. In this way, engineers are able to take action in a timely manner. This book is a comprehensive collection of topics including media coding, wireless/mobile video, P2P media streaming, and applications of streaming media. That observation underlies the increasing interest in flow-based computing, which is explained more thoroughly in Chapter 3. The discussions on the general specifications of different releases are also provided in this chapter with a focus on the Quality of Service (QoS) support. This facility is depicted in Figure 1-3. Moreover, the limited and changing bandwidth of peers further complicate the problem of QoS control. The benefits of handling streaming data well are not limited to getting in-the-moment actionable insights, but that is one of the most widely recognized goals. The most essential requirement of stream processing is one or more sources of data, also known as producers. The stream register file (SRF) is the nexus for data transfers on the processor. Design, engineering, and production teams are to work much more closely together in future. The authors give an analysis of the mechanisms and principles of the emerging scalable video coding (SVC) standard. Figure 1-4 is a diagram showing several different ways that a stream of test results data might be used. For instance, compared with P2P based file sharing applications, streaming over P2P networks imposes tighter timing requirements. A comprehensive literature review on latest advancement on SMDC is provided. Live Coding 12-Factor App. These APIs are deprecated. This chapter first surveys the typical algorithms in static and dynamic 3D meshes coding,where the coding and streaming of gigantic 3D models are specially introduced. The value of streaming sensor data goes beyond real-time insights. These new approaches to customer-responsive, in-the-moment marketing are already being implemented by some large retail merchants, in some cases developed in-house and in others through vendors who provide innovative new services. (As of the date of writing this book, modern connected cars do not communicate with anyone on the moon, although they readily make use of 4G networks.). In this solution, video is captured by a video camera and sent to a Live Event input endpoint. One of the most important and widespread situations in which it is important to be able to carry out low-latency analytics on streaming data is for defending data security. With a well-designed project, it is possible to monitor a large variety of things that take place in a system. Trains, planes, and ships also make use of sensor data, GPS tracking, and more. Cars are not the only IoT-enabled vehicles. I am very new to media servers, so I wondering if FMS (flash media server) or Wowza media server solve this problem or is a self hosted solution simpler? The main goal in each of these sample situations is to gain actionable insights in a timely manner. The idea was that the data in the event stream no longer had value beyond the real-time analytics or that there was no easy or affordable way to persist it, but that’s changing. Audio Mixer, Graphics, Media, etc. Therefore, efficient protocol, coding and scheduling algorithms are desired to tackle the challenges in P2P streaming. This chapter concludes with a discussion providing an overall picture of the developments in mesh coding and the directions for future research. Do I even need a full blown media server? What does the video streaming app technology stack consist of? For each pattern, well describe how it applies to a real-world use-case, the best practices and considerations for implementation, and cost estimates. Knowing that there is a slow-down caused by an accident on a particular freeway during the morning commute is useful to a driver while the incident and its effect on traffic are happening. Trucks can be deployed on customized schedules that better match actual needs, thus optimizing operations with regard to drivers’ time, gas consumption, and equipment usage. The latter three points (persistence of streaming data, geo-distributed replication, and the central importance of the correct messaging layer) are relatively new aspects of the preferred design for streaming architectures. One of the foremost sources of continuous data is from sensors in the Internet of Things (IoT), and a rapidly evolving sector in IoT is the development of futuristic “connected vehicles.”. Streaming media is one of the most exciting and active research topics with continuing significant progress in the multimedia area, where streaming media has been experiencing dramatic growth and stepped into mainstream media communications. No matter which option you choose, Wowza can provide some or all of the end-to-end live-streaming workflow technologies. I'm seeing two main issues with the setup that I have built so far. As it turns out, stream-based architectures additionally provide fundamental and powerful benefits. For that to work efficiently, and in order to take advantage of the other benefits of a well-designed streaming system, it’s necessary to look at more than just the computational frameworks and algorithms developed for real-time analytics. Hi all, I'm working on building some architecture for a live streaming environment. Perhaps a discount coupon code shows up on the customer’s phone as they reach the electronics department. You need the effective message-passing capabilities as a fundamental aspect of your streaming infrastructure. Many professional-grade live streaming solutions are equipped with HTML5 video players that are totally white-labeled and can easily be embedded on your website, app, and social platforms. A live streaming solution allows you to capture video in real-time and broadcast it to consumers in real time, such as streaming interviews, conferences, and sporting events online. The diagram below presents the architecture you can automatically deploy using the solution's implementation guide and … Figure 1-4 is a diagram showing several different ways that a stream of test results data might be used. Extensive research has been conducted to develop effective coding and transmission schemes for streaming media. Finally, the block diagram of Dirac’s bitstream syntax is presented. After more than a decade of development, substantial advances have been achieved in the diverse areas of streaming media, and a number of promising research directions are springing up. Upgrade to Go Live. For example, group “B” consumers could include a database of patient electronic medical records and a database or search document for number of tests run with particular equipment (facilities management). Time-value of information is significant in many use cases where the value of particular insights diminishes very quickly after the event. Conceptually, HTTP Live Streaming consists of three parts: the server component, the distribution component, and the client software. With the excellent mobility, wireless streaming has turned the on-demand access of rich media content anywhere on any device into a reality. There are many potential advantages of handling data as streams, but until recently this method was somewhat difficult to do well. 20 Streaming engines Source System 1 Storage systemSource System 2 Source System 3 Ingest Ingest Ingest Extract Streaming engine Push Kafka Connect Apache Flume Message broker Apache Beam (incubating) … Beacons might react to the smartphones of customers as they enter and provide offers via text messages to their phones that fit these different tastes. I suggest you combine these 2 ways together. The overall encoding structure is discussed followed by the detailed description of each coding component. SQLstream’s mission is to make real-time stream analytics easy to use and own with a one-stop-shop solution that performs the best, has the widest footprint, never turns off, and can be developed and customized by data scientists and engineers alike. The event stream for the sensor data now acts as a “time machine” that lets you look back, with the help of machine learning models, to find anomalous patterns in measurement values prior to a failure. Chapter 1 entitled “Scalable video coding: techniques and applications for adaptive streaming” covers the topic of making use of scalable video content in streaming frameworks and applications. Industrial settings provide examples from the IoT where streaming data is of value in a variety of ways. An overview of several related research topics is presented in this chapter, including video-lecture summarization, automatic extraction of text from the audio track, lecture segmentation, search, semantic indexing and multimodal access, gesture analysis, and annotation of the videos. The ability to recognize the presence of a particular customer may make use of a WiFi connection to a cell phone or sometimes via beacons placed strategically in a store. Latency and audio/video being out of sync. Consider what happens when sensor data is examined along with long-term detailed maintenance histories for parts used in pumps or other industrial equipment. HTTP Live Streaming allows you to send live or prerecorded audio and video, with support for encryption and authentication, from an ordinary web server to any device running iOS 3.0 or later (including iPad and Apple TV), or any computer with Safari 4.0 or later installed. Stream processing architectures are increasingly deployed to process high volume events and generate insights in near-real time. Sync all your devices and never lose your place. Being able to process streaming data via a 4G network and deliver reports to drivers in a timely manner is essential for this navigation tool to work as it is intended. The many academic areas covered in this publication include, but are not limited to: The advances in computation and networking, as well as the prevalence of media sharing on the net have significantly increased the availability of multimedia resources. A UML Class Diagram showing Video Streaming System-CLASS. Peers are equally privileged, equipotent participants in the application. AWS Elemental MediaLive ingests two input feeds and transcodes your content into two adaptive bitrate (ABR) HTTP Live Streaming (HLS) streams as output. Conceptually, HTTP Live Streaming consists of three parts: the server … As a result, the end user can enjoy on-the-fly representation of multimedia content without downloading the entire file beforehand. This book is meant to be accessible to audiences including researchers, developers, engineers, and innovators working in the relevant areas. Now imagine instead that as a customer passes through a store, a display sign lights up as they pass to offer a nice selection of colors in a specific style of sweater or handbag that interests them. Terms of service • Privacy policy • Editorial independence, Get unlimited access to books, videos, and. These examples underline one of the main benefits of real-time analysis of streaming data: the ability to respond quickly to events. One thing that needs to change to gain the full benefit of streaming data is to discard the “use it and lose it” style of thinking. Given the initial success of P2P streaming, streaming media content over P2P networks is still fraught with great challenges. But as it turns out, that’s not the only advantage to be gained from using streaming data, as we discuss later in this chapter. Highly effective messaging technologies collect streaming data from many sources—sometimes hundreds, thousands, or even millions—and deliver it to multiple consumers of the data, including but not limited to real-time applications. Chapter 9 with the title “Scalable video delivery over wireless LANs” presents a comprehensive study on the transmission of scalable video over wireless local area networks (WLAN). With streaming data, what may come to mind first is real-time analytics, so we have shown one consumer of the stream (labeled “A” in the figure) as a real-time application. These moment-to-moment insights allow drivers to make informed decisions about their route that can reduce gasoline usage, travel time, and aggravation. This approach not only saves money; in some cases, it may save lives. A live streaming solution allows you to capture video in real-time and broadcast it to consumers in real time, such as streaming interviews, conferences and sporting events online. Chapter 11 entitled “Peer-to-peer networks – protocols, cooperation and competition” discusses P2P systems that have been deployed in file sharing and real-time media streaming. Chapter 16 entitled “The 3rd Generation Partnership Project Packet-Switched Streaming (3GPP-PSS): fundamentals and applications” embodies the chronological advances of 3GPP-PSS, whose specifications define the framework for streaming capabilities for 3GPP mobile devices and networks. The proposed approach mixes theoretical results, when available, with empirical observations in order to give the best possible insights. It is believed that mobile phones will turn out to be the fourth screen following cinema, television and PC. P2P streaming has become the most powerful and popular solution for large-scale streaming services due to its decentralization, self-organization, and flexibility. Many of the systems we want to monitor and to understand happen as a continuous stream of events—heartbeats, ocean currents, machine metrics, GPS signals. Peer-to-peer (P2P) computing or networking is a distributed application architecture that partitions tasks or workloads between peers. The technological stack is a set of all software and hardware capabilities that ensure the functioning of any technology. The emergence of P2P network leads to an architecture shift from client-server streaming to P2P streaming. In addition, each implementation choice is a compromise between the industrial feasibility and the adaptation efficiency. The design blueprint helps you express design and deployment ideas of your Huawei Cloud infrastructure thoroughly. Streaming media is one of the most exciting and active research topics with continuing significant progress in the multimedia area, where streaming media has been experiencing dramatic growth and stepped into mainstream media communications. Why, then, is there now an explosion of interest in streaming? Let’s translate the operational sequencing of the kappa architecture to a functional equation which defines any query in big data domain. The Huawei Cloud architecture diagram tool provided by Visual Paradigm Online allows you to design your Huawei Cloud infrastructure quickly and easily. Data Streaming Architecture. Take O’Reilly online learning with you and learn anywhere, anytime on your phone and tablet. Following section touches on a few more examples select what is shown in figure 1-2 video (... As an introduction of epidemic live streaming video would carry them home multimedia consumption in each of these Sample is. Following cinema, television and PC replayable record entertainment industry, wireless streaming can take place in system. Find extensive applications in military and disaster rescue where wireless sensors are widely deployed include in your.! 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