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Open Source - Application Resource Optimizer (ARO)
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README.md

Application Resource Optimizer (ARO)

All works distributed in this package are covered by the Apache 2.0 License unless otherwise stated.

Copyright 2012 AT&T Intellectual Property

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

AT&T Application Resource Optimizer contains the following open source libraries or binaries within its distribution package. For more information on any item listed below, please contact developer.program@att.com.

JFreeChart

The AT&T Application Resource Optimizer(ARO) uses Open Source Software that is licensed under the GNU Lesser General Public License (LGPL) version 3 (the "License"), and you may not use this file except in compliance with the License. You may obtain a copy of the Licenses at: http://www.jfree.org/jfreechart/. Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the Licenses for the specific language governing permissions and limitations under the Licenses.

JCommon

The AT&T Application Resource Optimizer(ARO) uses Open Source Software that is licensed under the GNU Lesser General Public License (LGPL) version 2.1 (the "License"), and you may not use this file except in compliance with the License. You may obtain a copy of the Licenses at: http://www.jfree.org/jcommon/. Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the Licenses for the specific language governing permissions and limitations under the Licenses.

FFmpeg

The AT&T Application Resource Optimizer(ARO) uses Open Source Software that is licensed under the GNU Lesser General Public License (LGPL) version 2.1 (the "License"), and you may not use this file except in compliance with the License. You may obtain a copy of the Licenses at: http://ffmpeg.org/download.html. Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the Licenses for the specific language governing permissions and limitations under the Licenses.

TCPDUMP/LIBPCAP

The AT&T Application Resource Optimizer(ARO) uses Open Source Software that is licensed under the following BSD (the "License"), and you may not use this file except in compliance with the License. You may obtain a copy of the Licenses at: http://www.tcpdump.org/#contribute. Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the Licenses for the specific language governing permissions and limitations under the Licenses. License: BSD Redistribution and use in source and binary forms, with or withoutmodification, are permitted provided that the following conditionsare met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/o> rials provided with the distribution. 3. The names of the authors may not be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED "AS IS" AND WITHOUT ANY EXPRESS ORIMPLIED WARRANTIES, INCLUDING, WITHOUT LIMITATION, THE IMPLIEDWARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.

Android Open Source Project

The AT&T Application Resource Optimizer(ARO) uses Open Source Software that is licensed under the Apache Software License 2.0 (the "License"), and you may not use this file except in compliance with the License. You may obtain a copy of the Licenses at: http://source.android.com/source/licenses.html. Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the Licenses for the specific language governing permissions and limitations under the Licenses.

Open Source Code Package

The Application Resource Optimizer (ARO) is a diagnostic tool for analyzing mobile web application performance developed by AT&T. ARO allows you to automatically profile an application to optimize performance, make battery utilization more efficient, and reduce network impact.

The ARO Data Collector is the component of the ARO application that captures the data traffic of a mobile device and stores that information in trace files that can be analyzed using the ARO Data Analyzer.

The ARO Data Analyzer is the component of the ARO application that evaluates the trace data collected from an application and generates statistical and analytical results based on recommended best practices.

This Open Source Code Package contains all of the code needed to build both of these ARO components.

ARO Web Resources:
Application Resource Optimizer (ARO): http://developer.att.com/ARO
ARO Support: http://developer.att.com/ARO/support
Forum: http://developerboards.att.lithium.com/t5/AT-T-Application-Resource/bd-p/ARO
Blog: http://developerboards.att.lithium.com/t5/AT-T-Developer-Program-Blogs/bg-p/Blogs
FAQ: http://developer.att.com/ARO/FAQ
Contact Us: http://developer.att.com/developer/contact_us.jsp

Version:
ARO Data Analyzer 4.1.1
ARO Data Collector 3.1.1.10

What’s new in Release 4.1.1?
(Note: ARO versions 4.0.1 and 4.1 have been combined for this new release.)

  • AT&T ARO Non-Rooted Data Collector adds support for Android 5.01/5.1 (Lollipop)
    The AT&T ARO non-rooted collector now supports data collection from devices running Android 5.01 and 5.1 (Lollipop).

  • AT&T ARO Data Collector adds support for Android 5.01/5.1 (Lollipop) on the Android Emulator
    AT&T ARO now supports data collection from Android 5.01 and 5.1 (Lollipop) virtual devices on the Android Emulator.

  • AT&T ARO Analyzer no longer contains pre-defined profiles for specific devices
    The AT&T ARO Analyzer now only contains profiles for the network types AT&T 3G, AT&T LTE, and AT&T WiFi. Network profiles were found to be more widely used and more effective when analyzing traces than device profiles. The values of the attributes for all three profiles can still be fully customized through options in the AT&T ARO Analyzer Profiles menu.

What are the known issues in Release 4.1.1?

  • When the AT&T ARO Data Collector apk is launched on a device, it may be blocked if the Back button is pressed or if the Terms and Conditions for ARO are declined. If the Terms and Conditions are declined and the collector is launched again, you will see the message "ARO is currently running on the device".
  • The total megabytes (MB) value in the results for the Duplicate Content Best Practices test in AT&T ARO Analyzer does not match with the total amount of TCP data transferred.
  • When the rooted AT&T ARO Data Collector apk is launched on a device with the GPS turned on, it activates the device GPS for the duration of the trace.
  • When using the AT&T ARO Data Collector apk on a rooted Motorola Nexus 6 device running Android 5 (Lollipop), the trace video that is captured cannot be displayed in the ARO Analyzer. To work around this, run the ARO Data Collector directly from the Data Collector menu of the ARO Analyzer to capture the trace.
  • When using the AT&T ARO Data Collector apk on rooted Motorola Nexus devices that use an emulated SD card, the trace file stored on the device must be retrieved manually using the following ADB shell command:
    adb pull /sdcard/ARO/tracename

What are the other known issues from previous releases?

  • Video Sync/Video Correlation feature: This feature allows you to sync externally captured video to PCAP data by placing it in the trace folder. When using this feature in ARO 2.3, note the following:

    • Please ensure that the video duration is at least as long as the trace duration.
    • Avoid clicking in the Diagnostics Chart when the video is playing; the timing of response may be affected.
    • Certain 64 bit Windows 7 computers may have unexpected/random video sync issues. If this occurs, Re-sync the trace to the video.
    • Do not use a High Definition (HD) video file with the Video Sync feature.
    • Avoid disconnecting the USB cable during the collection of a trace, it may cause unexpected behavior.
    • On a Mac computer, the Trace Summary notification window may appear distorted. This will be fixed in a future release.
  • USB Video Feature: In some cases, the following notification may appear incorrectly when the trace is completed: "Unexpected error accessing device SD card. ADB Connection Error" When this occurs, the trace is intact and the error message can be disregarded.

  • Recording video in a trace: Some devices may not record video during a trace due to hardware limitations. For these devices, use the USB Video feature to record a video for the trace.

  • Loading a trace: While loading a trace in the ARO Analyzer, an Out of Memory (OOM) notification (application heap size issue) error may occur, or the message: “ARO Analyzer has reached the maximum memory heap size. Close ARO Analyzer and try again or increase ARO Analyzer’s heap size. Also consider collecting multiple, smaller, more isolated traces.” may appear. This can also occur when the same trace is re-loaded.

  • AT&T ARO Data Collector support for iOS: The following issues can occur on the specified iPhone devices if they are disconnected from a Mac running OS X Mountain Lion 10.8 and OS X Mavericks 10.9 while a trace is being collected:

    • On the iPhone 5c, the ARO Data Analyzer may hang and display an empty pop-up, requiring the Analyzer to be closed.
    • On the iPhone 5 and iPhone 4s, the error message “No data Packet captured” may be displayed. The correct error message is “Device got disconnected”.
    • Traces collected from an iPhone connected to a Mac running OS X Mavericks 10.9 are not supported by the AT&T ARO Analyzer when it is running on a Windows OS.
  • ARO Analyzer Diagnostics Chart:

    • Alarm Triggers are not displayed in the Diagnostics chart of the ARO Analyzer for traces collected from the HTC One X.
    • The type of Burst may be reported differently, for the same testing scenario steps, on the Diagnostics Chart for traces captured from an Android device and an iPhone.
    • When a TCP/UDP flow is deselected and the Diagnostics Chart is refreshed more than three times, the deselected packet information displays on the chart and the burst length changes.
  • ARO Analyzer Best Practices "Resize images for Mobile": Due to limitations in the structure of pcap files, the results for the “Resize Images for Mobile” test will appear differently for ARO trace files and pcap files.

  • ARO Analyzer Best Practices "Duplicate Content": When data is exported to a .csv file using the Export button in the Statistics Tab or the Data Dump option in the Tools menu, the results listed for the Duplicate Content test are incorrect 80% of the time, when compared to the results in the ARO Analyzer.

  • Set ADB Path Option: When using the Set ADB Path option on the File menu, the Cancel button does not work correctly, it saves the path name that is entered in the dialog.

  • iOS Traces: Some devices may not record video during a trace due to hardware limitations. For these devices, use the USB Video feature to record a video for the trace.

Documentation:

ARO Compilation and Build Guide - Describes how to compile and build the ARO components.
ARO Data Collector API Reference - To read this reference, open the file index.html in the folder ARODataCollector\docs\api
ARO Data Analyzer API Reference - To read this reference, open the file index.html in the folder ARODataAnalyzer\docs\api
Adding Custom Best Practices in Open Source ARO - Describes how to add custom Best Practices to the ARO Data Analyzer.

Contents:

The ARO Open Source code package contains the following:

2013DevSummitTurbocharge - Main folder for ARO sample applications that were introduced and discussed at the 2013 Developer Summit.

  • com.example.android.multires.MultiRes.caching - Contains a sample application that demonstrates caching.
  • com.example.android.multires.MultiRes.closing - Contains a sample application that demonstrates the difference between properly and improperly closing connections.

ARODataAnalyzer - Main folder for the ARO Data Analyzer open source code.

  • bin - Contains the Jpcap dlls.
  • c - Contains C code used to build the Jpcap dlls in the bin folder.
  • docs - API reference for the ARO Data Analyzer. (Open docs\api\index.html)
  • lib - .jar files for ARO and its dependencies (ddmlib, jcommon, jfreechart, and jmf).
  • src - Source code for the ARO Data Analyzer.
  • build.xml - Used to build the .jar file for the ARO Data Analyzer.

ARODataCollector - Main folder for the ARO Data Analyzer open source code.

  • docs - API reference for the ARO Data Collector (Open docs\api\index.html)
  • external - Source code for external dependencies: tcpdump and libpcap.
  • libs - .jar file for FlurryAgent.
  • res - Resources for an Android project.
  • src - Source code for the ARO Data Collector.
  • AndroidManifest.xml - Manifest file for an Android project.

ARO Compilation and Build Guide.pdf - Describes how to compile and build the ARO components.
ARODataCollector_OpenSource_v3.1.1.10.apk.zip - A zip package containing a compiled open source version of the ARO Data Collector.
Adding Custom Best Practices in Open Source ARO.pdf - Describes how to add custom Best Practices to the ARO Data Analyzer.
README.md - This file.

Running the pre-built Open Source ARO Analyzer:

To launch the pre-built version of ARO Analyzer that is included in this open source download, do the following:

On Mac:
1. Download the zip file for this repository, and un-zip the files to the desired location. (e.g: Desktop)
2. Confirm that there is one main folder in the unzipped files: ARO, and two sub-folders inside ARO: bin and lib.
3. Open terminal and change directory to the bin folder in the ARO location. (e.g: cd Desktop/ARO/bin)
4. Inside the bin directory, type: ./aro

On Windows:
1. Download the zip file for this repository, and un-zip the files to the desired location. (e.g: Desktop)
2. Confirm that there is one main folder in the unzipped files: ARO, and two sub-folders inside ARO: bin and lib.
3. Open a command prompt (cmd) and change directory to the bin folder in the ARO location. (e.g: cd Desktop/ARO/bin)
4. Inside the bin directory, type: aro

Compiling and Building ARO

The following sections describe the basic steps for compiling and building the ARO Data Collector and ARO Data Analyzer. For more detailed information, see the ARO Compilation and Build Guide.

ARO Data Collector

This section describes how to setup the development environment, and then compile and build the ARO Data Collector into an Android Application Package (APK) using the Android SDK and Apache Ant. The APK file can then be installed on a device via the Android Debug Bridge (ADB).

Note: In order for the ARO Data Collector to be fully functional, it must be installed on a rooted device.

Setup the Development Environment

  1. Download and setup the Android SDK. Go to the Android Developers website http://developer.android.com/sdk/index.html, download the Android package for your platform, and follow the steps to setup the Android SDK.

  2. Add additional components. Follow the installation instructions at http://developer.android.com/sdk/installing.html, especially the step: Adding Platforms and Other Components.

  3. Download Apache ANT. Go to http://ant.apache.org and follow the download instructions.

Compile and Build the ARO Data Collector

  1. Checkout the ARO Data Collector source code from the ARODataCollector folder to a local folder.

  2. Update the project.properties to match your local configuration and generate a build.xml by using the following command syntax:

    android update project --name <project_name> --target <target_ID> --path <path_to_your_project>
    

    Note: ARO Data Collector supports Android 2.1 and above, so the target id should be set to a value greater than 2.1. In the following example, it is set to 7.

    android update project --name ARODataCollector --target 7 --path ../ARODataCollector
    
  3. Build the ARO Data Collector project for debug using the command "ant debug", or for release using the command "ant release".

  4. Transfer the ARO Data Collector APK file to a rooted device using the ADB, with the command: "adb aro"

ARO Data Analyzer

To build the ARO Data Analyzer, follow these steps to setup the development environment for your OS and compile and build the code.

Note: A build of the ARO Data Analyzer application (aro.jar) is included in the ARODataAnalyzer\lib directory.

Windows
The system requirements for compiling, building, and running the ARO Data Analyzer on the Windows OS are:

  • A computer running Windows XP, Windows Vista, or Windows Seven.

  • At least 1GB of RAM.

  • Java Runtime Environment (JRE) version 1.6 or greater is required to run the ARO Data Analyzer. To compile and build the ARO Data Analyzer in the same environment, install the Java Development Kit (JDK) version 1.6 or greater which includes the JRE.

  • WinPcap, the "industry-standard windows packet capture library".

  • ANT, An Apache Java build tool.

Note: If needed, configure the JAVA_HOME system variable so that it points to your Java installation directory. This can be done in the Advanced tab of System Properties, by editing the Environment Variables.

Mac
The system requirements for compiling, building, and running the ARO Data Analyzer on the Mac OS are:

  • A computer running Mac OS X 10.6 and above.

  • At least 1GB of RAM.

  • Java Runtime Environment (JRE) version 1.6 or greater is required to run the ARO Data Analyzer. To compile and build the ARO Data Analyzer in the same environment, install the Java Development Kit (JDK) version 1.6 or greater which includes the JRE.

  • ANT, An Apache Java build tool.

Compile and Build the ARO Data Analyzer
To compile and build the open source ARO Data Analyzer code for Java, do the following:

Checkout the ARO Data Analyzer source code including the build.xml file, from the ARODataAnalyzer folder to a local folder, and use ANT to compile and build the application.

  • The build.xml file builds the .jar file that contains the compiled classes for the ARO Data Analyzer.

  • The files aro.bat and aro are included in the ARODataAnalyzer\lib directory of the ARO Open Source Package to help you run the .jar file with default run settings:

  • To launch the .jar file in the Windows OS, run aro.bat from the command line.

  • To launch the .jar file in the Mac OS, run aro.


ARO Image

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