Tapas - Cronologia

Ldecicco: /* Download */

2014-12-01T09:39:21Z

‎Download

Ldecicco: /* Download */

2014-12-01T09:38:54Z

‎Download

Ldecicco: /* Download */

2014-11-30T18:29:22Z

‎Download

Ldecicco: /* Download */

2014-11-30T13:55:49Z

‎Download

Ldecicco: /* References */

2014-11-30T13:55:07Z

‎References

Ldecicco: /* TAPAS: a Tool for rApid Prototyping of Adaptive Streaming algorithms */

2014-11-13T10:31:49Z

‎TAPAS: a Tool for rApid Prototyping of Adaptive Streaming algorithms

Ldecicco: /* TAPAS: a Tool for rApid Prototyping of Adaptive Streaming algorithms */

2014-11-13T10:30:26Z

‎TAPAS: a Tool for rApid Prototyping of Adaptive Streaming algorithms

Ldecicco: /* TAPAS: a Tool for rApid Prototyping of Adaptive Streaming algorithms */

2014-11-13T10:29:16Z

‎TAPAS: a Tool for rApid Prototyping of Adaptive Streaming algorithms

Ldecicco: /* TAPAS: a Tool for rApid Prototyping of Adaptive Streaming algorithms */

2014-11-13T10:22:07Z

‎TAPAS: a Tool for rApid Prototyping of Adaptive Streaming algorithms

Ldecicco: /* TAPAS: a Tool for rApid Prototyping of Adaptive Streaming algorithms */

2014-11-13T10:20:24Z

‎TAPAS: a Tool for rApid Prototyping of Adaptive Streaming algorithms

@@ Riga 11: / Riga 11: @@
 ==Download==
 The latest (and first) release of TAPAS is:
 [http://c3lab.poliba.it/downloads/tapas-1.0.tar.bz2 TAPAS v1.0] (md5sum:2deb3e12dd72d03a59c4dbc9619d0bcb)

@@ Riga 13: / Riga 13: @@
 [http://c3lab.poliba.it/downloads/tapas-1.0.tar.bz2 TAPAS v1.0] (md5sum:2deb3e12dd72d03a59c4dbc9619d0bcb)
-Github repository will be rolled out shortly.
+[http://ldecicco.github.io/tapas/ Github website]
 ==References==

@@ Riga 11: / Riga 11: @@
 ==Download==
 The latest (and first) release of TAPAS is:
-[http://c3lab.poliba.it/downloads/tapas-1.0.tar.bz2 TAPAS v1.0]
+[http://c3lab.poliba.it/downloads/tapas-1.0.tar.bz2 TAPAS v1.0] (md5sum:2deb3e12dd72d03a59c4dbc9619d0bcb)
 Github repository will be rolled out shortly.

@@ Riga 12: / Riga 12: @@
 The latest (and first) release of TAPAS is:
 [http://c3lab.poliba.it/downloads/tapas-1.0.tar.bz2 TAPAS v1.0]
 ==References==

@@ Riga 14: / Riga 14: @@
 ==References==
 <paper authors="Luca De Cicco, Vito Caldaralo, Vittorio Palmisano, Saverio Mascolo" conference="Proc. of ACM VideoNext Workshop" place="Sydney, Australia" date="December 2014" pdf="tapas-videonext.pdf">
 TAPAS: a Tool for rApid Prototyping of Adaptive Streaming algorithms
 </paper>

←Older revision		Revisione 10:31, 13 Nov 2014
Riga 8:		Riga 8:

	In order to implement a new controller it is sufficient to create a new controller class, f.i. ''MyController'', in a python file placed in the ''controller/'' directory. The ''MyController'' class has to inherit from ''baseController'' class and implement only a few methods. For an exhaustive description, please refer to the available documentation shipped with the source code and the TAPAS paper (see References section).		In order to implement a new controller it is sufficient to create a new controller class, f.i. ''MyController'', in a python file placed in the ''controller/'' directory. The ''MyController'' class has to inherit from ''baseController'' class and implement only a few methods. For an exhaustive description, please refer to the available documentation shipped with the source code and the TAPAS paper (see References section).
		+
		+	==Download==
		+	The latest (and first) release of TAPAS is:
		+	[http://c3lab.poliba.it/downloads/tapas-1.0.tar.bz2 TAPAS v1.0]

	==References==		==References==

@@ Riga 7: / Riga 7: @@
 [[Immagine:tapascomponents.png]]
-In order to implement a new controller it is sufficient to create a new controller class, f.i. MyController, in a python file placed in the controller/ directory. The MyController class has to inherit from baseController class and implement only a few methods. For an exhaustive description, please refer to the available documentation shipped with the source code and the TAPAS paper (see References section).
+In order to implement a new controller it is sufficient to create a new controller class, f.i. ''MyController'', in a python file placed in the ''controller/'' directory. The ''MyController'' class has to inherit from ''baseController'' class and implement only a few methods. For an exhaustive description, please refer to the available documentation shipped with the source code and the TAPAS paper (see References section).
 ==References==

←Older revision		Revisione 10:29, 13 Nov 2014
Riga 6:		Riga 6:

	[[Immagine:tapascomponents.png]]		[[Immagine:tapascomponents.png]]
		+
		+	In order to implement a new controller it is sufficient to create a new controller class, f.i. MyController, in a python file placed in the controller/ directory. The MyController class has to inherit from baseController class and implement only a few methods. For an exhaustive description, please refer to the available documentation shipped with the source code and the TAPAS paper (see References section).

	==References==		==References==

←Older revision		Revisione 10:22, 13 Nov 2014
Riga 2:		Riga 2:

	''TAPAS'' is an open-source Tool for rApid Prototyping of Adaptive Streaming control algorithms. TAPAS is a flexible and extensible video streaming client written in python language that allows to easily design and carry out experimental performance evaluations of adaptive streaming controllers without needing to write the code to download video segments, parse manifest files, and decode the video. TAPAS currently supports [http://dashif.org/mpeg-dash/ DASH] and [https://tools.ietf.org/html/draft-pantos-http-live-streaming-13 HLS] and has been designed to minimize the CPU and memory footprint so that experiments involving a large number of concurrent video flows can be carried out using a single client machine.		''TAPAS'' is an open-source Tool for rApid Prototyping of Adaptive Streaming control algorithms. TAPAS is a flexible and extensible video streaming client written in python language that allows to easily design and carry out experimental performance evaluations of adaptive streaming controllers without needing to write the code to download video segments, parse manifest files, and decode the video. TAPAS currently supports [http://dashif.org/mpeg-dash/ DASH] and [https://tools.ietf.org/html/draft-pantos-http-live-streaming-13 HLS] and has been designed to minimize the CPU and memory footprint so that experiments involving a large number of concurrent video flows can be carried out using a single client machine.
		+
		+	TAPAS is built on the components shown in the following figure.
		+
		+	[[Immagine:tapascomponents.png]]

	==References==		==References==

@@ Riga 1: / Riga 1: @@
 =TAPAS: a Tool for rApid Prototyping of Adaptive Streaming algorithms=
-''TAPAS'' is an open-source Tool for rApid Prototyping of Adaptive Streaming control algorithms. TAPAS is a flexible and extensible video streaming client written in python language that allows to easily design and carry out experimental performance evaluations of adaptive streaming controllers without needing to write the code to download video segments, parse manifest files, and decode the video. TAPAS currently supports DASH and HLS and has been designed to minimize the CPU and memory footprint so that experiments involving a large number of concurrent video flows can be carried out using a single client machine.
+''TAPAS'' is an open-source Tool for rApid Prototyping of Adaptive Streaming control algorithms. TAPAS is a flexible and extensible video streaming client written in python language that allows to easily design and carry out experimental performance evaluations of adaptive streaming controllers without needing to write the code to download video segments, parse manifest files, and decode the video. TAPAS currently supports [http://dashif.org/mpeg-dash/ DASH] and [https://tools.ietf.org/html/draft-pantos-http-live-streaming-13 HLS] and has been designed to minimize the CPU and memory footprint so that experiments involving a large number of concurrent video flows can be carried out using a single client machine.
 ==References==