In novel market-oriented resource sharing models, resource consumers pay for the resource usage and expect that non-functional requirements for the application execution, termed as Quality of Service (QoS), are satisfied. QoS is negotiated between two parties following the specific negotiation protocols and is recorded using Service Level Agreements (SLAs). However, most of the existing work assumes that the communication partners know about the SLA negotiation protocols and about the SLA templates before entering the negotiation. However, this is a contradictory assumption, if we consider computational Grids and novel, commercially oriented computing Clouds where consumers and providers meet each other dynamically. In this paper, we present novel meta-negotiation and SLA-mapping solutions for Grid workflows bridging the gap between current QoS models and Grid workflows, one of the most successful Grid programming paradigms. We illustrate the open research issues with a real world case study. Thereafter, we present document models for the specification of metanegotiations and SLA-mappings. We discuss the architecture for the management of meta-negotiations and SLAmappings as well as integration of the architecture into a Grid workflow management framework.

Abstract. Novel computing paradigms like Grid and Cloud computing demand guarantees on non-functional requirements such as application execution time or price. Such requirements are usually negotiated following a specific Quality of Service (QoS) model and are expressed using Service Level Agreements (SLAs). Currently available QoS models assume either that service provider and consumer have matching SLA templates and common understanding of the negotiated terms or provide public templates, which can be downloaded and utilized by the end users. On the one hand, matching SLA templates represent an unrealistic assumption in systems where service consumer and provider meet dynamically and on demand. On the other hand, handling of public templates seems to be a rather challenging issue, especially if the templates do not reflect users' needs. In this paper we present VieSLAF, a novel framework for the specification and management of SLA mappings. Using VieSLAF users may specify, manage, and apply SLA mapping bridging the gap between non-matching SLA templates. Moreover, based on the predefined learning functions and considering accumulated SLA mappings, domain specific public SLA templates can be derived reflecting users' needs.

Nowadays, novel computing paradigms as for example Grid or Cloud Computing are gaining more and more on importance. In case of Cloud Computing users pay for the usage of the computing power provided as a service. Beforehand they can negotiate specific functional and non-functional requirements relevant for the application execution. However, providing computing power as a service bears different research challenges. On the one hand dynamic, versatile, and adaptable services are required, which can cope with system failures and environmental changes. On the other hand, human interaction with the system should be minimized. In this paper we present the first results in establishing adaptable, versatile, and dynamic services considering negotiation bootstrapping and service mediation achieved in context of the Foundations of Self-Governing ICT Infrastructures (FoSII) project. We discuss novel meta-negotiation and SLA mapping solutions for Grid/Cloud services bridging the gap between current QoS models and Grid/Cloud middleware and representing important prerequisites for the establishment of autonomic Grid/Cloud services. We present document models for the specification of meta-negotiations and SLA mappings. Thereafter, we discuss the sample architecture for the management of meta-negotiations and SLA mappings.

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