Bulls-Eye - A Resource Provisioning Service for Enterprise Distributed Real-Time and Embedded Systems

Middleware is increasingly used to develop and deploy compo nents in enterprise distributed real-time and embed ded (DRE) systems A key chal lenge in these systems is de vising resource management algorithms that deploy appli cation components properly onto target nodes To provide an accurate view of system re source utilization, these algorithms need monitor resources at runtime Runtime resource monitoring is also needed to make redeployment or reconfigu ration decisions trig gered by various factors, such as failures, attacks, overloads, or changes in quality of service (QoS) re quirements DRE sys tems with a diverse range of applications can therefore benefit from a common re source provisioning service capable of monitoring re source data and ena bling proper resource allocation in a timely manner. This paper provides two contributions to the study of run time resource provi sioning for enterprise DRE systems First, it describes the challenges in devel oping Bulls-Eye, which is an open implementation of the OMG standard Target Manager specification that provides a reusable service for provisioning distrib uted resources in enter prise DRE systems Second, it presents the results of ex periments that applied Bulls-Eye to the multi-layer resource manage ment sub system of a ship board computing environment Our re sults show that provi sioning re sources at runtime in a DRE system via Bulls-Eye simplifies resource manage ment and helps automate adaptations in the face of dynamic changes in operat ing conditions.

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