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CMU-CS-00-154
Computer Science Department
School of Computer Science, Carnegie Mellon University
CMU-CS-00-154
Task-Driven Computing
Zhenyu Wang, David Garlan
May 2000
CMU-CS-00-154.ps
CMU-CS-00-154.pdf
Keywords: Tasks, mobile computing, pervasive computing, service
discovery, human-computer interaction
We are moving towards a world of pervasive computing in which users can access and manipulate information from anywhere at anytime. Computing devices and networks are becoming ubiquitous. In this new world, computing will no longer be tethered to desktops: users will become increasingly mobile. As users move across environments, they will have access to a dynamic range of computing devices and software services. They will want to use the resources to perform computing tasks. Today's computing infrastructure does not support this model of
computing very well because computers interact with users in terms of low level abstractions: applications and individual devices. Today, if a mobile user wants to use the computing resources of a new environment, he has to manually
figure out how to perform a computing task using local resources and/or to migrate his computing context from another environment. Such manual operation is
unacceptable in a pervasive computing world because it does not scale with
the increasing amount of software services, user mobility and resource
dynamism. It also demands that users spend too much time on non-task related
configuration activities. This technical report describes an approach called
task-driven computing that can be used to solve this problem. The approach
is based on the insight that with appropriate system support it is possible
to let users interact with their computing environments in terms of high
level tasks and free them from low level configuration activities.
21 pages
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