parsec streaming

Stefan Winkler and others in the paper, "Video quality Evaluation for Internet streaming Applications", introduces the methods of video quality evaluation of streaming media, and their research results, recorded here. Note: The single-stimulus continuous quality evaluation method (SSCQE) is used in this paper, which is of great reference value. The sequence of participating tests is shown in the following

Scenario: Use spark streaming to receive real-time data and query operations related to tables in the relational database;Using technology: Spark streaming + spark JDBC External datasourcesCode prototype: Packagecom.luogankun.spark.streamingImportorg.apache.spark.SparkConfImportorg.apache.spark.streaming. {Seconds, StreamingContext}ImportOrg.apache.spark.sql.hive.HiveContextImportOrg.apache.spark.SparkConte

The purpose of this blog is to make a systematic carding and summary of the streaming media and some protocols that have just come into contact with this period of time. So that it can be done on the basis of understanding in the process of subsequent use. Of course, many of the content is from all of you to share, at the end of the blog will be attached, you can also go to the corresponding places to get a deeper understanding of the relevant content

customer once (if the transfer of 10,000 yuan), normally a client's account will only be deducted once and the amount is 10,000 yuan, B client's account will only receive a customer's transfer of money and the amount is also 10,000 yuan, this is the specific embodiment of business and its consistency, This means that the data will be processed and processed correctly once.However, the transaction processing of spark streaming differs from the transac

particular traffic is occurring.Processing (processing): In the flow chart processing with a circle, in the circle to write the processing name. A processing box can represent a sequence of programs, a single program, or a module of a program.3 , constituent elements　　There are several main elements in the streaming diagram:(1) →: data stream. A data stream is a path of data propagation within a system, and therefore consists of data fixed by a set o

Research on iOS streaming media based on the IJKPlayer framework of site B 1. Streaming Media Streaming Media Technology can be divided into progressive download and implementation of streaming media.1. Progressive download It is a playback mode between real-time playback and local playback. incremental download does n

Recently, chatting with friends about the media streaming server-side real-time transcoding technology, found that Apple's various terminal video playback did not use the common UDP-based RTSP/RTP, and forced the use of the HTTP Live stream technology, here a slightly summarized below.Apple video streaming playback technical requirementsApple's strong style has imposed technical restrictions on video data p

Recently, after listening to Liaoliang's 2016 Big Data spark "mushroom cloud" action, Flume,kafka and spark streaming need to be integrated.Feel a moment difficult to get started, or start from the simple: my idea is that, flume produce data, and then output to spark streaming,flume source data is netcat (address: localhost, port 22222), The output is Avro (address: localhost, port is 11111). The processing

Crtmpserver Streaming Media Server () label: crtmpserver C ++ rtmp server rtmp Adobe FMS (flash med Streaming Media Server Type: crtmpserver PrefaceAdobe's FMS (Flash Media Server) is very useful. However, money and limited functions are available for hierarchical authorization. Since commercial things are useless and impede our technological progress, we can only turn to the open-source community. Crtmps

IPhone, iPad, IPod-HTTP live streaming (HLS) with free tools on Windows ByAndrewonFebruary 1, 2011 Apple HTTP live streaming (HLS) has been a nightmare to get working. below, I'll go through some of my trials and tribulations in getting HLS encoding for non-live streams working in windows. in summary, I couldn't get the bitrate I wanted on my videos.I'll provide explanations (and rants) below, but first, fo

Mobile development-chenwayne http://www.cublog.cn/u/26691/showart_1162401.html Beijing University of Technology's 20981 Chen xiao3g is now (although I still don't know the future ), however, as the on-line application of mobile phones has become a little popular, the arrival of 3G will surely bring a great impact to the mobile software development industry. This is like when we all use a 56 K modem for dial-up Internet access, no one can eve

Contents of this issue: Batchduration and Process time Dynamic Batch Size There are many operators in Spark streaming, are there any operators that are expected to be similar to the linear law of time consumption?For example: Does the time consumption of processing data for join operations and normal map operations present a consistent linear pattern, that is, not the larger the size of the data volume is simply increased batchdurati

This article outlines:Nginx is a very good open source server, use it to do HLS or rtmp streaming media server is a very good choice. This paper introduces a simple method to quickly set up rtmp streaming media server, also known as RTSP retransmission, the data source is not read files, but use to obtain rtspnal stream after using FFmpeg retransmission. CSDN: [Email protected]Development environment: cento

In order to better understand the processing mechanism of the spark streaming sub-framework, you have to figure out the most basic concepts yourself.1. Discrete stream (discretized stream,dstream): This is the spark streaming's abstract description of the internal continuous real-time data stream, a real-time data stream We're working on, in spark An instance of streaming that corresponds to a dstream.2, ba

There are two ways spark streaming butt Kafka:Reference: http://group.jobbole.com/15559/http://blog.csdn.net/kwu_ganymede/article/details/50314901Approach 1:receiver-based approach Receiver-based solution:This approach uses receiver to get the data. Receiver is implemented using the high-level consumer API of Kafka. The data that receiver obtains from Kafka is stored in the spark executor's memory, and then the job that spark

Recent projects related to the development of streaming media, because of the development experience know its difficulty, no way can only be picked up, the latest version of the SDK was changed a mess, but the general development of ideas are the same, see how many books to check how much information is useless, step by step to write code is the key to learn.I will pass every day of learning, updated to the blog post, I hope to give more people want t

In the previous section, we explained the operational mechanism of the spark streaming job in general. In this section we elaborate on how the job is generated, see:650) this.width=650; "src=" Http://s4.51cto.com/wyfs02/M01/80/0C/wKiom1c1bjDw-ZyRAAE2Njc7QYE577.png "title=" Untitled. png "alt=" Wkiom1c1bjdw-zyraae2njc7qye577.png "/>In spark streaming, the specific class responsible for dynamic job scheduling