akamai streaming

a hotspot file to the K server for streaming, the more convenient way to map the file on the original hash machine and after the (k-1) machine. Different hot file collection in the consistency hash, need to change the arrangement of hash bucket, in order to prevent due to the hash value close to the different files mapped by the K machine most overlap, resulting in high machine load problem.2) The user's use of the business is also a consistent hash

"Note" This series of articles, as well as the use of the installation package/test data can be in the "big gift –spark Getting Started Combat series" get1 Spark Streaming Introduction1.1 OverviewSpark Streaming is an extension of the Spark core API that enables the processing of high-throughput, fault-tolerant real-time streaming data. Support for obtaining data

SOURCE Link: Spark streaming: The upstart of large-scale streaming data processingSummary: Spark Streaming is the upstart of large-scale streaming data processing, which decomposes streaming calculations into a series of short batch jobs. This paper expounds the architecture

NDK develops live streaming program for Android-side rtmp After a toss-up, the success of the rtmp live streaming code, through the NDK cross-compiled way, ported to Android, thus realizing the Android side acquisition camera and mic seam data, then the H264 video encoding and AAC audio encoding, and sent to the RTMP server, To enable live Android camera. The program, called Ndkrtmpencoder, introdu

First, Local: Using JAVACV (Android and Java Platform recommended JAVACV), FFmpeg, OpenCV or JMF can easily get to the local camera streaming media JAVACV Series articles: JAVACV Development 1: Call native webcam video JAVACV Development in Detail 2: The implementation of the converter, push the local camera video to the streaming media server and camera recording video func

1. Introduction to Spark streaming 1.1 Overview Spark Streaming is an extension of the Spark core API that enables the processing of high-throughput, fault-tolerant real-time streaming data. Support for obtaining data from a variety of data sources, including KAFK, Flume, Twitter, ZeroMQ, Kinesis, and TCP sockets, after acquiring data from a data source, you can

Pick Want streaming media file format plays an important role in streaming media system, so designing a reasonable file format is the most direct and effective way to improve the efficiency of streaming media server. Based on the analysis of the common streaming media system and file format, this paper In particular,

From http://www.dataguru.cn/article-9532-1.html The demand for distributed streaming is increasing, including payment transactions, social networks, the Internet of Things (IoT), system monitoring, and more. There are several applicable frameworks for convection processing in the industry, so let's compare the similarities and differences of each stream processing framework.Distributed stream processing is the continuous processing, aggregation and a

in the past century, with the rapid development of computer and network communication technology, the traditional teaching mode of education is facing great challenge. The use of Internet for online teaching and the development of Web-based courses has become an important issue in the educational technology sector and the reform trend. Audio and video transmission in the distance education has been widely used and has been a good result. Among them, such as Noah's Point reader remote education u

Real-time streaming processing complete flow based on flume+kafka+spark-streaming 1, environment preparation, four test server Spark Cluster Three, SPARK1,SPARK2,SPARK3 Kafka cluster Three, SPARK1,SPARK2,SPARK3 Zookeeper cluster three, SPARK1,SPARK2,SPARK3 Log Receive server, SPARK1 Log collection server, Redis (this machine is used to do redis development, now used to do log collection test, the hostname

WSE3.0 Framework provides data optimization transport mechanism, WSE3.0 build Web Service Security (4): Mtom message transmission optimization and file upload, download questions are introduced. WCF also provides streaming operations to support the transfer and processing optimization of large data objects, and today we WCF distributed development Step-win series (4): Use flow operations (streaming Operatio

Contents of this issue:　　1. Spark Streaming job architecture and operating mechanism2. Spark Streaming fault tolerant architecture and operating mechanism　　In fact, time does not exist, it is by the sense of the human senses the existence of time, is a kind of illusory existence, at any time things in the universe has been happening.Spark streaming is like time,

With the development of mobile Internet, there are more than 10 video live apps in China. To constructed investment of 17 in 2015, the explosion of red as a representative, video mobile live surface, and then to the later ying, pepper, Honey circle and so on, live from the rapid development of media era changed people's traditional life habits and traditional business model.The wide use of live broadcast to our life has come a great convenience, live streami