Programming cyber-physical systems with MacroLab

Authors:
Tamim I. Sookoor;Timothy W. Hnat;Kamin Whitehouse
Affiliations:
University of Virginia, Charlottesville, VA, USA;University of Virginia, Charlottesville, VA, USA;University of Virginia, Charlottesville, VA, USA
Venue:
Proceedings of the 6th ACM conference on Embedded network sensor systems
Year:
2008

Citing 5
Cited 0

TinyDB: an acquisitional query processing system for sensor networks

ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
Kairos: a macro-programming system for wireless sensor networks

Proceedings of the twentieth ACM symposium on Operating systems principles
Marionette: using RPC for interactive development and debugging of wireless embedded networks

Proceedings of the 5th international conference on Information processing in sensor networks
The regiment macroprogramming system

Proceedings of the 6th international conference on Information processing in sensor networks
MacroLab: a vector-based macroprogramming framework for cyber-physical systems

Proceedings of the 6th ACM conference on Embedded network sensor systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

We demonstrate MacroLab, which is a macroprogramming framework that offers a vector programming abstraction similar to Matlab for cyber-physical systems (CPSs). The user writes a single program for an entire network using Matlab like operations such as addition, find, and max. The framework executes these operations across the network in a distributed fashion, a centralized fashion, or something between the two - whichever is most efficient for the target deployment. We call this approach deployment-specific code decomposition (DSCD). The MacroLab programming framework will facilitate the easy development of applications for CPSs by domain experts such as scientists and engineers with almost no additional overhead to the nodes in terms of message cost, power consumption, memory footprint, or CPU cycles over TinyOS programs.