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Making computers disappear: appliance data services
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Source International Conference on Mobile Computing and Networking archive
Proceedings of the 7th annual international conference on Mobile computing and networking table of contents
Rome, Italy
Pages: 108 - 121  
Year of Publication: 2001
ISBN:1-58113-422-3
Authors
Andrew C. Huang  Stanford University, 252 Gates Building, 2-A, Stanford, CA
Benjamin C. Ling  Stanford University, 252 Gates Building, 2-A, Stanford, CA
John Barton  Hewlett Packard Laboratories, 1501 Page Mill Road (1U-17), Palo Alto, CA
Armando Fox  Stanford University, 452 Gates Building, 4-A, Stanford, CA
Sponsor
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

Digital appliances designed to simplify everyday tasks are readily available to end consumers. For example, mobile users can retrieve Web content using handheld devices since content retrieval is well-supported by infrastructure services such as transformational proxies. However, the same type of support is lacking for input-centric devices, those that create content and allow users to share content. This lack of infrastructural support makes input-centric devices hard to use and less useful.

The Appliance Data Services project seeks to explore a vision of an appliance computing world where users move data seamlessly among various devices. Based on this vision, we formulate three principles that guide the design of an architecture that helps realize this vision: bring devices to the forefront, minimize the number of device features, and place functionality in the network infrastructure. We evaluate our implementation of the ADS architecture based on these principles, and build applications using the ADS framework to evaluate the ease with which appliance computing applications can be built using the framework. We find that it is relatively simple to build and extend applications on ADS that make using digital devices easier, which results in the devices themselves becoming more useful.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Andrew C. Huang: colleagues
Benjamin C. Ling: colleagues
John Barton: colleagues
Armando Fox: colleagues