Building Accountability Middleware to Support Dependable SOA

Authors:
Kwei-Jay Lin;Mark Panahi;Yue Zhang;Jing Zhang;Soo-Ho Chang
Affiliations:
University of California, Irvine;University of California, Irvine;Microsoft;University of California, Irvine;University of California, Irvine
Venue:
IEEE Internet Computing
Year:
2009

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Abstract

The Intelligent Accountability Middleware Architecture (Llama) project supports dependable service-oriented architecture (SOA) monitoring, runtime diagnosis, and reconfiguration. At its core, Llama implements an accountability service bus that users can install on existing service-deployment infrastructures. It collects and monitors service execution data from a key subset of services; enables Llama users to incorporate others' advanced diagnosis models and algorithms into the framework; and provides enterprise service bus extensions for collecting service profiling data, thus making process problems transparent to diagnose. Finally, experimental results indicate that using Llama contributes a modest amount of system overhead.