An Adaptive Framework for Multiprocessor Real-Time System

Authors:
Aaron Block;Björn Brandenburg;James H. Anderson;Stephen Quint
Affiliations:
-;-;-;-
Venue:
ECRTS '08 Proceedings of the 2008 Euromicro Conference on Real-Time Systems
Year:
2008

Citing 0
Cited 3

A Comparison of the M-PCP, D-PCP, and FMLP on LITMUSRT

OPODIS '08 Proceedings of the 12th International Conference on Principles of Distributed Systems
Dynamic tuning of feature set in highly variant interactive applications

EMSOFT '10 Proceedings of the tenth ACM international conference on Embedded software
Zeta: scheduling interactive services with partial execution

Proceedings of the Third ACM Symposium on Cloud Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we develop an adaptive scheduling framework for changing theprocessor shares of tasks---a process called reweighting---on real-timemultiprocessor platforms. Our particular focus is adaptive frameworks that aredeployed in environments in which tasks may frequently require significant sharechanges. Prior work on enabling real-time adaptivity on multiprocessors hasfocused exclusively on scheduling algorithms that can enact needed adaptations. The algorithm proposed in this paper uses both feedback and optimizationtechniques to determine at runtime which adaptations are needed.