VieSLAF Framework: Enabling Adaptive and Versatile SLA-Management
GECON '09 Proceedings of the 6th International Workshop on Grid Economics and Business Models
Negotiation for resource allocation in IaaS cloud
COMPUTE '11 Proceedings of the Fourth Annual ACM Bangalore Conference
Towards autonomic detection of SLA violations in Cloud infrastructures
Future Generation Computer Systems
Enhancing an autonomic cloud architecture with mobile agents
Euro-Par'11 Proceedings of the 2011 international conference on Parallel Processing
Non-intrusive policy optimization for dependable and adaptive service-oriented systems
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Adaptive resource configuration for Cloud infrastructure management
Future Generation Computer Systems
An Inter-cloud Outsourcing Model to Scale Performance, Availability and Security
UCC '12 Proceedings of the 2012 IEEE/ACM Fifth International Conference on Utility and Cloud Computing
Mechanisms for SLA provisioning in cloud-based service providers
Computer Networks: The International Journal of Computer and Telecommunications Networking
SLA-driven dynamic cloud resource management
Future Generation Computer Systems
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Cloud computing represents a promising computing paradigm, where computational power is provided as a utility. An important characteristic of Cloud computing, other than in similar paradigms like Grid or HPC computing, is the provision of non-functional guarantees to users. Thereby, applications can be executed considering predefined execution time, price, security or privacy standards, which are guaranteed in real time in form of Service Level Agreements (SLAs). However, due to changing components, workload, external conditions, hardware, and software failures, established SLAs may be violated. Thus, frequent user interactions with the system, which are usually necessary in case of failures, might turn out to be an obstacle for the success of Cloud computing. In this paper we discuss self-manageable Cloud services. In case of failures, environmental changes, and similar, services manage themselves automatically following the principles of autonomic computing.Based on the life cycle of a self-manageable Cloud service we derive a resource submission taxonomy. Furthermore, we present an architecture for the implementation of self-manageable Cloud services. Finally, we discuss the application of autonomic computing to Cloud services based on service mediation and negotiation bootstrapping case study.