Fiddler is a Web Debugging Proxy which logs all HTTP(S) traffic between your computer and the Internet. Fiddler allows you to inspect all HTTP(S) traffic, set breakpoints, and "fiddle" with incoming or outgoing data. Fiddler includes a powerful event-based scripting subsystem, and can be extended using any .NET language.
Fiddler is freeware and can debug traffic from virtually any application, including Internet Explorer, Mozilla Firefox, Opera, and thousands more.
An I thought the Fiddler name was a metaphor for the bow going back an forth like HTTP messages.
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Cathy Marshall is a Senior Researcher at Microsoft Research, Silicon Valley; she has been at Microsoft for the last nine years. Cathy has long worked in the disciplinary interstices of computer science, information science, and the humanities, with occasional collaborations in the arts and the sciences. Her interests include digital archiving and long-term retrieval; how people use and share encountered information; how people read, annotate, navigate through, and interact with eBooks and other electronic publications; and spatial hypertext. She holds provocative views on topics like the Semantic Web and social tagging. Before coming to Microsoft, she was a long-time member of the research staff at Xerox PARC. She has delivered keynotes at WWW, Hypertext, Usenix FAST, CNI, VALA, ACH-ALLC, and a variety of other CS and LIS venues.
PowerMeter will take data from smart meters and process it into the PowerMeter interface, enabling consumers to see their energy consumption over time. Since smart meters are being rolled out by utilities, the tool will largely rely on utility deals. But Google has also said it is looking at ways to use energy data without smart meters, as well as working with third-party device and application makers.
Hohm is a tool that will enable consumers to see their energy consumption over time and recommend ways to save energy. If Microsoft hasn’t hooked up with your utility yet, you can still enter some basic information into Hohm about location and home, and it will use predictive algorithms to predict your energy consumption. If Microsoft has partnered with your utility, Hohm will integrate your historical energy use, and you will eventually see data from smart meters once they have been rolled out. Hohm will eventually be integrated with applications built by third parties.
concur with Lu’s findings. Since projecting our electricity usage in real time on the web, in an easily readable, annotated visualization format, it’s become very clear to us both when the peaks in our usage occur, and what is causing them, without sweating the small stuff. The simple visualization of high-energy devices - dryers, dishwashers - seems, from a simple behavioral modification standpoint, to get the job done. Appliance-based monitoring systems, furthermore, inject a complexity that means they’ll take awhile to achieve ubiquity. Although we yearn for a future in which all appliances are “smart,” the number of smart plugs, smart sockets, and upgraded appliances that would need to be integrated into our households to make an appliance-based system effective, as well as the data gaps that would accompany a necessarily piecemeal application, make the idea of a whole-house, appliance-based monitoring system seem, to us, a misplaced focus right now.