DDevelopment & Design

SIP & SDP – Session Description Protocol

  • byTouK
  • August 5, 2008
  • 2 minute read

Protokołu SIP jest protokołem sygnalizacyjnym używanym do inicjowania sesji multimedialnych. SIP umożliwiają realizacje negocjacji charakterystyki sesji oraz jej aktualizacje ale sam w sobie nie zawiera mechanizmów do opisu kształtu sesji, przenoszonej za pomocą protkołu RTP. W tym celu SIP wykorzystuje protokół SDP (Session Descriptions Protocol)
wchodzący bezpośrednio w skład komunikatu. SDP zawiera informacje o rodzaju
mediów, kodekach i ich parametrach, adresach IP, kierunku strumieniów, dostępnym pasmie itp.

Opis sesji:

  • v= (protocol version) – wersja protokołu -> “0”
  • o= (originator and session identifier) – zrodlo i identyfikator sesji -> “dowolna_nazwa id_sesji wersja_sesji IN (IP4|IP6) adresIP_zródła_sesji”
  • s= (session subject) – temat sesjii -> “-“
  • i=* (session information) – opis sesji -> nie używany
  • u=* (URI of description) – uri dodatkowe opisu sesji -> nie używany
  • e=* (email address) – adres email osoby odpowiedzialnej za sesje -> nie używany
  • p=* (phone number) – numer telefoniczny osoby odpowiedzialnej za sesje -> nie używany
  • c=* (connection information) – opis połaczenia, nie wymagany jeśli obecny dla każdego strumienia mediów -> “IN (IP4|IP6) adresIP”
  • b=* (zero or more bandwidth information lines) – sugerowane pasmo -> nie używany
  • One or more time descriptions
  • z=* (time zone adjustments)- definicja strefy czasu -> nie używany
  • k=* (encryption key) – klucz szyfrujący -> nie używane
  • a=* (zero or more session attribute lines) – atrybuty: sendonly – jeśli strona tylko chce wysyłać media, recvonly – jeśli strona chce tylko odbierać media, inactive – bez mediów, sendrecv – jeśli strona chce wysyłać i odbierać media
  • Zero or more media descriptions

Opis Czasu:

  • t= (time the session is active) – czas sesji -> “0 0”
  • r=* (zero or more repeat times) – cykliczność sesji -> nie używany

Opis Mediów:

  • m= (media name and transport address) – opis mediów -> “(audio|video|text) RTP/AVP opis danych medialnych”
  • i=* (media title) – opis mediów -> nie używany
  • c=* (connection information) – opis połaczenia, nie wymagany jeśli obecny w opisie sesji, nadpisuje wartość z opisu sesji -> “IN (IP4|IP6) AdresIP”
  • b=* (zero or more bandwidth information lines) – sugerowane pasmo -> nie używany
  • k=* (encryption key) – klucz szyfrujący -> nie używane
  • a=* (zero or more media attribute lines)  – atrybuty strumienia, nadpisują atrybuty zdefiniowane w opisie sesji: sendonly – jeśli strona tylko chce wysyłać media, recvonly
    – jeśli strona chce tylko odbierać media, inactive – bez mediów,
    sendrecv – jeśli strona chce wysyłać i odbierać media, rtcp – port dla rtcp jesli nie, ptime – dlugosc mediów w sekunadach w przesylanym pakiecie, rtpmap – mapuje numer typu zawartosci do konkretnego kodeka i jego czestotliwosci, fmtp – umożliwia mapowanie parametrow tak aby sdp nie musialo tego rozumiec

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Sygnalizacyjne ABC

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RTMP - Real Time Messaging Protocol

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I've been reading through storm-users Google Group recently. This resolution was heavily inspired by Adam Kawa's post "Football zero, Apache Pig hero". Since I've encountered a lot of insightful and very interesting information I've decided to describe some of those in this post.

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if __name__ == "__main__":
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That's all for this day - however, I'll keep on reading through storm-users, so watch this space for more info on storm development.

I've been reading through storm-users Google Group recently. This resolution was heavily inspired by Adam Kawa's post "Football zero, Apache Pig hero". Since I've encountered a lot of insightful and very interesting information I've decided to describe some of those in this post.

  • nimbus will work in HA mode - There's a pull request open for it already... but some recent work (distributing topology files via Bittorrent) will greatly simplify the implementation. Once the Bittorrent work is done we'll look at reworking the HA pull request. (storm’s pull request)

  • pig on storm - Pig on Trident would be a cool and welcome project. Join and groupBy have very clear semantics there, as those concepts exist directly in Trident. The extensions needed to Pig are the concept of incremental, persistent state across batches (mirroring those concepts in Trident). You can read a complete proposal.

  • implementing topologies in pure python with petrel looks like this:

class Bolt(storm.BasicBolt):
    def initialize(self, conf, context):
       ''' This method executed only once '''
        storm.log('initializing bolt')

    def process(self, tup):
       ''' This method executed every time a new tuple arrived '''       
       msg = tup.values[0]
       storm.log('Got tuple %s' %msg)

if __name__ == "__main__":
    Bolt().run()

  • Fliptop is happy with storm - see their presentation here

  • topology metrics in 0.9.0: The new metrics feature allows you to collect arbitrarily custom metrics over fixed windows. Those metrics are exported to a metrics stream that you can consume by implementing IMetricsConsumer and configure with Config.java#L473. Use TopologyContext#registerMetric to register new metrics.

  • storm vs flume - some users' point of view: I use Storm and Flume and find that they are better at different things - it really depends on your use case as to which one is better suited. First and foremost, they were originally designed to do different things: Flume is a reliable service for collecting, aggregating, and moving large amounts of data from source to destination (e.g. log data from many web servers to HDFS). Storm is more for real-time computation (e.g. streaming analytics) where you analyse data in flight and don't necessarily land it anywhere. Having said that, Storm is also fault-tolerant and can write to external data stores (e.g. HBase) and you can do real-time computation in Flume (using interceptors)

That's all for this day - however, I'll keep on reading through storm-users, so watch this space for more info on storm development.