Estimation of Available Bandwidth (AB) for an end-to-end network path allows traffic sources to judiciously regulate the volume of application traffic injected into the network. Bandwidth estimation between two red-black network boundary nodes can enable efficient admission control of new sessions and congestion control of existing sessions through the black network. In this paper we have modified two bandwidth efficient AB estimation mechanismsProbeGap and Resource Friendly Bandwidth Estimation (RFBE), and evaluated their performance over a cryptopartitioned red-black network. ProbeGap has been augmented with skew compensation and bunching of probe packets to yield better estimation results. RFBE has been completely modified and the fast packet classification is based on inter-arrival times of probe packets at sender and receiver, since the results using the originally proposed method were affected by clock-skew between sender and receiver.

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Service-oriented architectures are dynamic, flexible and compositional in nature. Security and Quality of Service (QoS) management are two significant challenges for Service-Oriented-Architectures (SOA) in a multi-domain environment. We have researched and developed a SOA based QoS framework architecture and implemented a facility according to the architecture. This facility implementation consists of a set of QoS management services with XML-based policy driven resource management techniques, monitoring and diagnostics, and adaptation mechanisms. It is built on a publish/subscribe based middleware and has been successfully demonstrated in an enterprise testbed environment. We have expanded the QoS architecture to include QoS Security characteristics that incorporates the concept of MultiLevel Security (MLS). We call this expanded architecture a QoS-MLS architecture. This architecture addresses the security and QoS challenges in a coherent and integrated approach for enterprise SOA. In this paper we describe this QoS-MLS architecture which is the result of the integration of MLS into a QoS Management facility at the middleware layer.