A multi-layered resource management framework for dynamic resource management in enterprise DRE systems

Authors:
Patrick Lardieri;Jaiganesh Balasubramanian;Douglas C. Schmidt;Gautam Thaker;Aniruddha Gokhale;Thomas Damiano
Affiliations:
Advanced Technology Labs, Lockheed Martin Corporation, Cherry Hill, NJ 08002, United States;Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37235, United States;Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37235, United States;Advanced Technology Labs, Lockheed Martin Corporation, Cherry Hill, NJ 08002, United States;Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37235, United States;Advanced Technology Labs, Lockheed Martin Corporation, Cherry Hill, NJ 08002, United States
Venue:
Journal of Systems and Software
Year:
2007

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Abstract

Enterprise distributed real-time and embedded (DRE) systems can benefit from dynamic management of computing and networking resources to optimize and reconfigure system resources at runtime in response to changing mission needs and/or other situations, such as failures or system overload. This paper provides two contributions to the study of dynamic resource management (DRM) for enterprise DRE systems. First, we describe a standards-based multi-layered resource management (ARMS MLRM) architecture that provides DRM capabilities to enterprise DRE systems. Second, we show the results of experiments evaluating our ARMS MLRM architecture in the context of a representative enterprise DRE system for shipboard computing.