Welcome!

Industrial IoT Authors: Yeshim Deniz, Elizabeth White, Stackify Blog, SmartBear Blog, Liz McMillan

Related Topics: Machine Learning , Java IoT, Industrial IoT, Microservices Expo, PowerBuilder, Containers Expo Blog

Machine Learning : Blog Post

Where Is My Disk Space?

An HTML 5 File System Visualizer

by Nick Mueller, Zetta.net

Hello new users! The file system visualizer can be found at wheresmydiskspace.com - continue reading to learn more about the development of the tool and the visualization options.

Before buying more storage space it's a good idea to make sure your existing space isn't filled with redundant or old data - or hundreds of downloaded cat videos.

Disk capacity is increasing and while prices continue to drop, those savings are offset by demands for new capacity to store more and larger files. Not only does this mean more primary disk space, but 2x that amount for backups.

Zetta co-founder Lou Montulli may have the answer to this problem. Recently Lou combined his experience with browsers and storage in creating an open-source tool - a File System Visualizer (www.wheresmydiskspace.com) - for analyzing storage usage.

Lou was a founding engineer at Netscape in 1994 when he helped create the first commercial web browser Netscape Navigator. Over the years he's been responsible for the development of many browser related innovations, and co-founded Zetta.net in 2008 - where he continues to serve as VP of Engineering and Chief Scientist.

"The tool was conceived as a method for visualizing multiple aspects of any large file set: an existing file system, a backup or an archive," he says. "This can be a great tool to use if you find yourself running low on disk space and need to find files to delete to free up space."

The tool makes heavy use of the Data-Driven Documents JavaScript library together with jQuery, Dojo, PrettyPhoto, JavaScript and Scalable Vector Graphics. Sponsored by Zetta, all the source code for the File System Visualizer is available and a BSD license allows anyone to use it, commercially and non-commercially, free of charge.

"Part of the challenge and opportunity of this tool was writing it in JavaScript and using HTML as the user interface," Lou says. "I was part of the team who wrote the very first web browsers, so I was personally motivated to design a tool that takes advantage of some of the great new technologies coming out of HTML5, Mozilla.org and the broader web community."

Getting Started
The File System Visualizer is free to use and doesn't require installing any software. You just need a web browser that supports SVG and has a fast JavaScript engine. Go to www.wheresmydiskspace.com. The home page has a few video demonstration of the product that you can view before running the software.

Or you can:

  1. Click the link at the top of the page to take you directly to the visualizer.
  2. There you have three options: you can look at some sample data sets, use a Java applet to collect the data from your local machine and create a manifest file detailing what is in the file system, or you can load a manifest file created in a previous scan.
  3. If you choose to do a new scan, and there are a large number of folders, the software will prompt you to save the manifest to your disk rather than keeping it in the browser.

Test Setup
We recently had the File System Visualizer tested on a Windows 7 desktop with a third generation Intel Core i7 processor and 16 GB RAM. The scan took approximately 5 minutes. When completed, a message came up that there were 52,993 folders.

The software can analyze a local disk, or an administrator can run it remotely on any mountable drive. At this point it runs on Windows (32-bit and 64-bit) and OSX.

Visualizing Your Data
After running the scan, the software then presents seven different views of the data. The views are illustrated at the top of the page and you can click on any of the images to access that view of the data.

Summary Page - This showed that the test computer had 353.1 GB of data in 52,993 folders containing 364,931 items, with an average file size of 967.7 KB.

Visual Tree - This gives a hierarchical tree visualization of the data. On the left is a pull-down box where you can select to view the data by size, by type or by date. There is also a slider where you can select the tree display depth from one to seven levels.

Screenshot of the Tree View

Viewing by size shows a hierarchical view of the file system and the amount of data in each folder with up to seven levels of depth. To look at just the contents of a single folder, rather than the entire file system at once, just click on the dot next to that folder.

Viewing by type at the first level divided the data into known types and uncategorized. Going to the second depth level divided the uncategorized by their file extension and the categorized into groups such as disk images, games, database, software development, fonts, plugins, office types, settings, executables, media, backup and system. For most of those categories, going to the next level would give the file extensions, but some categories (media, office types and encodings) would further subdivide before getting to their final level.

Viewing by date, the first level divides the data into "1 year and older" and "within 1 year" and shows the GB of data in each category. Taking it to the second level splits the "within 1 year" branch into five levels and the "1 year and older" into each of the years for which you have data. There is no third level available.

Hierarchical List - This view presents the data in list rather than tree format. To get to deeper levels, click the + sign next to any of the categories. In addition to the file names, there are columns for Size in Directory, Total Size and % with children. When you click on the headers for the columns, up and down arrows appear, making it look like the data is sortable by those columns, but it isn't.

Flattened List - This is a sortable, non-hierarchical list of the folders. When viewing by Size, in addition to File Name, there are seven other sortable columns of data in each folder, including Size and Number of Items. The Type and Date views are similarly sortable. In none of these views can you look at a subtree, only at the entire file system. To view a subtree, go to one of the other views and narrow it down to the subtree and view type you want, and then click on the Flattened List visualization.

Your hard drive in "sun burst" view.

Sunburst - A type of pie chart, with rings showing each of the levels of depth. The chart can display each slice as an even size, or can adjust the sizes by the file count or amount of data in the slice. Clicking on any of the slices will move that folder or data point into the center circle, with the rings showing the subfolders or subcategories of that particular subdirectory.

Tree Map - A box type view of the data. As with the Sunburst, the boxes can be sized equally, or sized by data size or number of files. Clicking on any of the boxes will show the details within that subdirectory or data type.

Bubble Chart - This gives two layout options for showing the data: Bubble Chart or Circle Pack. The Bubble Chart shows bubbles for all the items in that category sized by the amount of data in that folder or file type. The Circle Pack presents a hierarchical view of the bubbles. In either view, clicking on a bubble or circle will give the bubbles showing the subcategories of that item.

Conclusion
The File System Visualizer is a quick and easy way to gain understanding of what's on your file system. It's intuitive to use and within minutes, you can start locating what is taking up disk space. Then you can delete or archive anything that is no longer needed, or establish policies to prevent wasted space. Then, if additional storage space is still needed, you can give management a clear visual presentation of how storage is being used in your environment. You can start visualizing your hard drive right now.

Nick is Zetta's Corporate Reporter, and has been writing and telling stories about technology with blogs, social media, and content marketing since the days when the BBS reigned.

More Stories By Derek Kol

Derek Kol is a technology specialist focused on SMB and enterprise IT innovations.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...