StreamSqueeze: a dynamic stream visualization for monitoring of event data

Florian Mansmann; Milos Krstajic; Fabian Fischer; Enrico Bertini

doi:10.1117/12.912372

24 January 2012 StreamSqueeze: a dynamic stream visualization for monitoring of event data

Florian Mansmann, Milos Krstajic, Fabian Fischer, Enrico Bertini

Proceedings Volume 8294, Visualization and Data Analysis 2012; 829404 (2012) https://doi.org/10.1117/12.912372
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States

Abstract

While in clear-cut situations automated analytical solution for data streams are already in place, only few visual approaches have been proposed in the literature for exploratory analysis tasks on dynamic information. However, due to the competitive or security-related advantages that real-time information gives in domains such as finance, business or networking, we are convinced that there is a need for exploratory visualization tools for data streams. Under the conditions that new events have higher relevance and that smooth transitions enable traceability of items, we propose a novel dynamic stream visualization called StreamSqueeze. In this technique the degree of interest of recent items is expressed through an increase in size and thus recent events can be shown with more details. The technique has two main benefits: First, the layout algorithm arranges items in several lists of various sizes and optimizes the positions within each list so that the transition of an item from one list to the other triggers least visual changes. Second, the animation scheme ensures that for 50 percent of the time an item has a static screen position where reading is most effective and then continuously shrinks and moves to the its next static position in the subsequent list. To demonstrate the capability of our technique, we apply it to large and high-frequency news and syslog streams and show how it maintains optimal stability of the layout under the conditions given above.

Citation Download Citation

Florian Mansmann, Milos Krstajic, Fabian Fischer, and Enrico Bertini "StreamSqueeze: a dynamic stream visualization for monitoring of event data", Proc. SPIE 8294, Visualization and Data Analysis 2012, 829404 (24 January 2012); https://doi.org/10.1117/12.912372

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available