Rule responder: RuleML-based agents for distributed collaboration on the pragmatic web
ICPW '07 Proceedings of the 2nd international conference on Pragmatic web
Automatic Service Deployment Using Virtualisation
PDP '08 Proceedings of the 16th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP 2008)
Future Generation Computer Systems
Rule-Based Workflow Validation of Hierarchical Service Level Agreements
GPC '09 Proceedings of the 2009 Workshops at the Grid and Pervasive Computing Conference
GMAC '09 Proceedings of the 6th international conference industry session on Grids meets autonomic computing
Aggregating Hierarchical Service Level Agreements in Business Value Networks
BPM '09 Proceedings of the 7th International Conference on Business Process Management
GMBS: A new middleware service for making grids interoperable
Future Generation Computer Systems
Towards Knowledge Management in Self-Adaptable Clouds
SERVICES '10 Proceedings of the 2010 6th World Congress on Services
LAYSI: A Layered Approach for SLA-Violation Propagation in Self-Manageable Cloud Infrastructures
COMPSACW '10 Proceedings of the 2010 IEEE 34th Annual Computer Software and Applications Conference Workshops
Aggregation patterns of service level agreements
Proceedings of the 8th International Conference on Frontiers of Information Technology
Supporting CPU-based guarantees in cloud SLAs via resource-level QoS metrics
Future Generation Computer Systems
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Cloud computing brings in a novel paradigm to foster ITbased service economy in scalable computing infrastructures by allowing guaranteed on-demand resource allocation with flexible pricing models. Scalable computing infrastructures not only require autonomous management abilities but also the compliance to users' requirements through Service Level Agreements (SLAs). Such infrastructures should automatically respond to changing components, workload, and environmental conditions as well as prevent violations of agreed SLAs. The essential requirements for SLA-based orchestration of services include agile component-based infrastructure to support these orchestrations; proactive validation of SLAs to prevent violations; and business enabling requirements including trust, privacy and breach management to address penalty enforcement, renegotiation and recovery. In this paper we outline a systematic approach that weaves together three different SLA management models, which cater the above mentioned issues by localizing and addressing them at different but interrelated scopes pertaining to resource, infrastructure, and business domains. In our framework Cloud components (e.g., meta negotiator, broker, automatic service deployer) are loosely coupled using SLAs and can be exchanged on demand considering current load, systems failures, and the whole Cloud ecosystem. Thereafter, SLAs are validated based on high level goals (e.g., business rules, VO policies) ensuring trust, privacy, and breach management in layered Cloud infrastructures.