Archive for the ‘Mobile’ Category

Smartphone devs, yes SD card speed matters!

If you want to get the highest performance out of your SD cards then read on. The purpose of this article is to raise awareness and spark your curiosity about SD card performance considerations.

Micro SD Class 2

Many developers I talk to aren’t aware that the read/write speeds of SD memory cards can have a significant affect on performance. This is especially true if you are moving around lots of data between a smartphone and the SD card. The good news is there is quite a bit of information out there to help you maximize performance, and a lot of it comes from high-end, camera aficionados believe it or not.

The most common feedback I get is developers typically buy cards with the most capacity at the lowest price. Depending on what you are doing, cheapest and slower isn’t always better. With little bit of research your read/write performance could get significantly better.

To start with there are four common speed classes: 2, 4, 6 and 10 and they represent an approximate minimum performance rating. You can find this number on the front of your card:

  • Class 2 ~ 2 Mbytes/sec
  • Class 4 ~ 4 Mbytes/sec
  • Class 6 ~ 6 Mbytes/sec
  • Class 10 ~ 10 Mbytes/sec

Read/write performance to your phones SD card really depends on HOW your application reads and writes data. You may have to do some testing to find out what works best. It depends on the consideration of multiple factors including:

  • Typical file types (e.g. video vs. text vs. image, etc)
  • Average file or data transaction size
  • Percentage of reads to writes
  • Duty cycle (percentage of reads or writes over a fixed time period)
  • Usage pattern

Usage pattern deserves a bit more attention and really starts to tell the story of what your application does behind-the-scenes. I think the best way to describe it is through some common use cases:

  • Many small reads and writes to/from a local database.
  • Occasional small reads and writes to local database.
  • Occasional large reads from local database.
  • Occasional large reads and writes to/from local database.
  • Large read upon application startup and large write upon application shutdown.

Wikipedia has noted that speed can differ significantly depending on what you are writing to the card. The article notes that writing large files versus writing many small files has widely different affects on performance. I’d seen similar observations when I worked on ultra-high performance server systems. So, the concept still remains today and provides excellent hints on how to tweak every extra millisecond of user experience.

If you need maximum performance then consider reformatting or defragging your card on a regular basis. I know Windows disk defragmenter utilities work on most SD cards, not sure about Mac. I have also seen multiple articles talk about bigger capacity is better because of memory fragmentation. With memory fragmentation, the card speed starts to decrease over time as the data becomes more fragmented. It’s the same concept as when you “defrag” the hard drive on your laptop.

References

If you want to learn more here are some helpful links:

SD Association – Bus speed

SD Association – Speed Class

Wikipedia – Secure Digital (See Speed Class Rating section)

Does your camera need a fast SD card? (good insight into SD card speed)

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I will be presenting in Palm Springs, California in a few weeks and I hope to chat with some of you there. For those of you who are interesting in Geospatial, the Esri Developer Summit is the largest gathering of geo-spatial developers that I know of. I don’t know the exact numbers, but it’s going to be over 1,500 geo-geeks. If you want to learn about the technical aspects of geo-spatial this is “the” conference.

I’m going to be talking a lot about mobile this year and how to transition from the desktop environment to mobile. Sure there are lots of experts out there building awesome mobile apps, but there are also many, may developers, organizations and companies that are just starting to get their feet wet.

I have four topics this year, so swing on by and say “hi”. Oh, and be sure to bring sun block and hot weather clothes. I hear the temperatures my reach 100F! Here are my sessions:

  • Best Practices for HTML5 Geolocation – This will be an A-to-Z overview of the HTML5 Geocation API including the good and the not-so-good. (Tue. 2:30p, Demo Theater 2 and Thur., 1:15pm Mesquite G/H)
  • Getting Started with the ArcGIS Runtime SDK for Android – Great session if you are getting ready to start doing native geo-spatial development on Android (Mon. 1pm, Pasadena Rm.)
  • Building Mobile Applications with the ArcGIS API for Flex – Apache Flex is an incredibly easy-to-use platform where you can take one code base and compile for native iOS and Android. (Tue. 5:30pm Primrose C/D)
  • iOS and Android: Let’s have a hug – this is a fun session where @geeknixta and I get to make fun of each other as well as show off the similarities of our Runtime SDKs on iOS and Android. I’m the Android fanboy, of course. (Wed. 5:30pm, Catalina/Madera)
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Six Most Common Use Cases for Android GPS

This post summarizes the six most common use cases associated with using GPS and location services on an Android device. It also continues the series on using the open source GPSTester tool to build better location aware Android apps. So not only can you read about what works and what doesn’t you can also try various scenarios out yourself using the tool rather than having to build code from scratch.

I’m striving to make this information freely available because adding location to your apps can be fun, and it can also be an important part of the applications that you build. By taking into account these six use cases you will be able to build applications that better meet your requirements and make for a more enjoyable end user experience.

Use Case 1 – Cold Start. Application launches from a completely stopped state. Cached GPS  and Network location values may be unreliable. As a developer you don’t really have any control over this but you need to plan for it. The screenshot from the GPSTester tool below shows a typical cold start where the cached network location has better accuracy than the most recent GPS location. You can see from the timestamps that even though the GPS location is more recent than the network location, it’s the network location that has better accuracy.

Use Case 2 – Warm Start. Application launches from a minimized state. Cached GPS values may be reliable depending on how much time has passed since application was last running, and the total distance traveled away from when the app was last used. Like the cold start, the user that decides how and when to start the app and you just have to plan for this use case. The screenshot below represents a typical warm start scenario where the cached GPS result has better accuracy than the cached network provider.

Use Case 3 – Minimized. Requirements may call for location listeners to continue to run in the background, or to be shut off when the application is minimized. There is also the option of using what’s called passive listeners which rely on other applications to call location services. Note, if you listen for location changes in  a minimized state you typically won’t benefit from this information until the application is opened again. In my previous posts I’ve stated that if your target demographic uses retail and social media apps this use case may be of benefit if the person uses the device constantly during the day. Many retail and social media apps access location. However, in many commercial use cases using passive location listeners may provide less than desirable results since there is much less of a chance of another application using a location service.

Pros: Running location services while app is minimized can speed up acquisition time when app starts, but only if your requirements call for always-on accuracy at a moment’s notice. If you shut off location then you will save battery life.

Cons: If active location services are left on in a minimized state this can sap the battery without the user really knowing it.

Use Case 4 – Snapshot. Application only needs to hit a minimum level of accuracy before shutting off location services. The screenshot below shows that it took approximately 2 minutes for the device to reach an accuracy of 12 meters. Yep, you heard that right…2 minutes! Also note how much the latitude and longitude of the different providers wandered around the map. The blue dot indicates network locations and the red dot indicates GPS locations. This is just a reminder that consumer-grade Android devices may or may not be accurate enough for your unique requirements.

Pros: Maximizes battery life.

Cons: May cause user interface delays if user needs to refresh the location during a single application session.

Use Case 5 – Continuous duty. Location services need to be constantly on while application is running. The screenshot below shows a use case of the user being in a downtown area with lots of tall buildings, the apps was run for about 10 minutes, then minimized briefly, then opened again for a warm start. The accuracy didn’t change much even after 10 more minutes of testing. As you can see, the GPS provider accuracy has suffered significantly at 153 meters, while the network provider is offering 45 meters of accuracy.

Pros: Best for constant, up-to-date, always on accuracy. Accuracy available instantly (after the device has ‘warmed up’).

Cons: Huge drain on the battery, but you can adjust the minimum distance property needed to trigger a location update.

Use Case 6 – Intermittent duty. GPS is only needed to run at intervals. To test these types of scenarios you can adjust various settings from within the GPSTester Tool’s preferences. Specifically you can modify the GPS and Network properties for minimum update time and distance. This is very powerful as you can easily toggle these settings to test various settings on-the-fly versus have to write custom code.

Pros: Depending on your use cases such as delivery driver tracking application, this can provide a good compromise on battery usage and accuracy.

Cons: You will have to write algorithms to constantly adjust the location service settings to meet the users movement patterns. This may also involve cycling the location services on and off to maximize battery life.

A few comments on testing your use cases. In the GPSTester tool there are a number of settings you can use to adjust how the device will receive location information.

You have full control over which providers are being used whether it’s GPS, Network or Critera.

Location provider indicators on the main screen will show which providers are being used. You can also see which provider is providing the best accuracy as determined by comparing available providers.

There is a list of available providers available on the GPSTester tool as well as table row showing what the device considers to be providing the best accuracy.

References

Android GPS Testing Tool

GPSTest Tool Github Repo

How accurate is Android GPS Part 1 – Understanding location data

How accurate is Android GPS Part 2 – Consuming real-time locations

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Not including WiFi, what I really want to know is over the period of an average day how happy are you with your 3G and/or 4G smartphone or tablet’s internet connection? Do you ever have moments where web pages are slow to download? Has an app ever taken forever to install, or a tweet or facebook picture upload failed?

Costs and geography aside, could you turn off your WiFi completely and generally have a decent connection at your home? At work? At the airport? At the supermarket?

It’s interesting to note that some really big company’s think that internet on mobile devices isn’t as great as it could be. Have you heard of Amazon Silk or Opera Turbo where they incorporate data compression to try and speed things up to overcome limitations of mobile browsers? I’ve even heard that Google is now working on something similar. Are these just attempts to work around current limitations of cellular 3G and 4G? Most likely, yes.

I’d give my general usage internet connection in my home area a 7 rating on a scale from 0 (no internet) to 10 (always incredible). By home area I mean the geographic location where I spend 98% of my time between home, work, shopping and visiting friends. When not developing apps on my phone, it’s primarily used for email, social media and occasional web browsing. Tethering is a different story. For tethering when I travel I’d give it a 4 rating overall. Tethering uses the bandwidth a lot more strenuously than my home area use case. And because of that it exposes any weaknesses in the internet connectivity a lot sooner and makes them much more noticeable. The typical situation I want to avoid when I travel is having to pay for a hotel internet connection. Besides, hotel internet connections in the U.S. are almost always awful in terms of download speeds, especially if you are in a hotel during a large conference.

If you are wondering if there’s anything you can do about bad cellular internet the answer is YES. First, call your provider and explain the situation in as much detail as possible. Simply calling up and saying “my internet connection is terrible” isn’t going to help. But telling them the geographic location, time of day, frequency of the problem, etc. will help immensely. And, you can always follow-up if the problem persists. Sometimes the problems are equipment malfunctions, sometimes cell towers need to be upgraded. Other times it could be the terrain, buildings and heavy foliage. All of these can degrade signals. As you can see there are many reasons why your smartphone internet could be less than desirable.

If you consistently see internet outages and other major problems and you can’t get a solid answer from your provider then you can also contact the FCC or file a public comment.

References:

FCC Online Complaint form

FCC 3G and 4G Wireless

Amazon Silk

Opera Turbo

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Tonight I had the pleasure of presenting at the HTML5 Denver User Group. It looked like there was a really good turnout of over 130 people. I followed an excellent presentation on JSON by Tom Marrs. He really dived down into the guts of what JSON is, and I wished someone had done as good of a job explaining it when I was just getting started using JSON.

The concept of my presentation was that there are three main approaches to building web mobile applications: JavaScript mobile, Hybrid and Responsive. By a show of hands it looked like over 50% in the audience were brand new to web mobile and I had planned for that so hopefully the level of content was just right. If you want to discuss any of the content in more detail, feel free to drop me an email.

Here’s a link to a PDF version of the presentation

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Android emulator vs actual device

Native Android apps and web apps need to be tested on multiple phones and tablets before being placing into production. Period. Sure you can use the emulator to do some very basic UI sizing validation, but there is no substitute for testing on actual devices.

Typically, I have one phone with the latest version of the OS and the rest of my phones are WiFi-only and have no carrier agreement. Buying used devices with no cellular contract is one way to save money, and can help budget strapped shops to do more thorough cross-device quality assurance (QA) tests. Obviously there are too many different types of Android devices on the market for the typical shop to have all of them in house, but having a few different models and versions gives you a huge QA advantage.

Why not use the out-of-the-box emulator? I’m not saying you shouldn’t use the emulator at all. It can be a valuable tool for check UI differences across various screen sizes and resolutions. But, in my opinion that’s about it. Personally I don’t use the out-of-the-box Android emulator much at all for daily coding since I almost always have a phone handy. Here are a few things that an emulator cannot help you test:

  • Exact look and feel
  • Application load times
  • Application performance
  • UI performance (View transitions, orientation changes, scrolling)
  • Browser differences (for web apps)
  • Subtle differences in UI touch events
  • Real-world GPS testing
  • Battery usage/consumption
  • Unique characteristics from the handset manufacturer and carrier.

My final beef with the Android emulator is it is awfully slow even on powerful laptops. It’s simply not a feasible test platform if you have to do multiple builds in a reasonable amount of time. Waiting for the emulator to load can be a painful experience. Granted, under some circumstances you can leave a single instance of the emulator running and push multiple builds to it, it can still seem sluggish. From a productivity standpoint, my experience has been its cumulatively much faster to simply push builds to a phone. And then, as mentioned above, reserve the emulator for specific instances of testing screen sizes and resolutions.

Recommended bare-bones set up. I don’t have a particular manufacturer recommendation because that’s a personal choice. My bare-bones recommendations are more focused on Android SDK version and having at least one phone with the major versions. Since Donut-based v1.6 phones now represent 0.2% or less of all phones I no longer recommend testing on it. Having a v2.x phone is a really good idea for general distribution apps as it’s a fact that roughly 50% of the phones in circulation are still running it:

  • V2.x smartphone
  • V3.x smartphone
  • V4.x smartphone
  • V4.x tablet

If you have experience with testing across different versions please post your comments!

References

Using the Android Emulator

Android Version Dashboard

Supercharge your Android Emulator

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