Toward Effective Multi-Capacity Resource Allocation in Distributed Real-Time and Embedded Systems

Authors:
Nilabja Roy;John S. Kinnebrew;Nishanth Shankaran;Gautam Biswas;Douglas C. Schmidt
Affiliations:
-;-;-;-;-
Venue:
ISORC '08 Proceedings of the 2008 11th IEEE Symposium on Object Oriented Real-Time Distributed Computing
Year:
2008

Citing 0
Cited 3

Resource allocation algorithms for virtualized service hosting platforms

Journal of Parallel and Distributed Computing
A capacity planning process for performance assurance of component-based distributed systems

Proceedings of the 2nd ACM/SPEC International Conference on Performance engineering
Controlled stochastic petri net model for end-to-end network QoS provisioning in middleware-based multimedia and real-time systems

Proceedings of the 44th Annual Simulation Symposium

Quantified Score

Hi-index	0.00

Visualization

Abstract

Effective resource management for distributed real-time embedded (DRE) systems is hard due to their unique characteristics, including (1) constraints in multiple resources and (2) highly fluctuating resource availability and input workload. DRE systems can benefit from a middleware framework that enables adaptive resource management algorithms to ensure application QoS requirements are met. This paper identifies key challenges in designing and extending resource allocation algorithms for DRE systems. We present an empirical study of bin-packing algorithms enhanced to meet these challenges. Our analysis identifies input application patterns that help generate appropriate heuristics for using these algorithms effectively in DRE systems.