Rodolfo A. Santiago

A Multi-Layer Security Enabled Quality of Service (QoS) Management Architecture

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 Multi- Level 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.

Quality of Service Contract Specification, Establishment, and Monitoring for Service Level Management.

This paper describes an approach and the architecture of Quality of Service (QoS) contract specification, establishment, and monitoring for Service Level Management (SLM). Contract is an essential concept in SLM. The service consumer side and the service provider side must share common understanding of QoS characteristics and agree on the common language for specifying desired QoS parameters in the form of QoS contracts. A service consumer must also negotiate with a service provider to establish mutually agreed QoS contracts for an interactive session. The service provider must consider QoS contracts already agreed upon with existing consumers and system resource conditions in establishing a new QoS contract. Similarly, a service consumer must be prepared in revising its contract with the service provider as conditions change over time. Once a QoS contract is established, SLM must provide monitoring to make sure that the service is provided at agreed QoS parameter range. If necessary, SLM must activate adaptation mechanisms to bring the service quality to the desired level. A case study is presented to validate the QoS contract management design approach and architecture for SLM.

Service Level Management in Global Enterprise Services: from QoS Monitoring and Diagnostics to Adaptation, a Case Study

We developed a quality of service (QoS) management system to support service level management (SLM) for global enterprise services. The QoS management system is integrated with one of our enterprise services in a preproduction system, an identical system as the production system but in a test environment. Lab experiments showed that our integrated solution helps global enterprise services to better maintain the service level agreements. Test results have validated our architecture design and integration approach. This paper describes our QoS management architecture and its integration within the enterprise service system with a focus on QoS monitoring, diagnostics and adaptation. We will also present the validation test results as a case study in this paper.

Interoperability of End to End Quality of Service (QoS) Management across Heterogeneous Platforms in System of Systems

Interconnectivity, interoperability, evolution and emergent behavior are some of the key characteristics of system of systems (SOS). Providing end to end quality of service (QoS) for an SOS is a major challenge today because of issues with connectivity, the independent evolution of component systems and their heterogeneity. Heterogeneity of systems is common because of the independent evolution paths and development cycles of the systems. In this paper, we describe an interoperable end to end QoS management solution including concepts, architecture, prototype, and experimental results. Our solution not only provides QoS at systems level, but also ensuring end-to-end QoS across heterogeneous systems at the SOS level. To validate our solution, we analyzed and compared architecture alternatives and developed prototype and experiments employing multiple and varied data dissemination technologies.