Performance by Design: Computer Capacity Planning By Example
Performance by Design: Computer Capacity Planning By Example
Balancing Risk and Reward in a Market-Based Task Service
HPDC '04 Proceedings of the 13th IEEE International Symposium on High Performance Distributed Computing
Profitable services in an uncertain world
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
Risk-aware Migrations For Prepossessing SLAs
ICNS '06 Proceedings of the International conference on Networking and Services
Introducing Risk Management into the Grid
E-SCIENCE '06 Proceedings of the Second IEEE International Conference on e-Science and Grid Computing
Enhance Self-managing Grids by Risk Management
ICNS '07 Proceedings of the Third International Conference on Networking and Services
A fuzzy group decision making approach for bridge risk assessment
Computers and Industrial Engineering
HPCC '08 Proceedings of the 2008 10th IEEE International Conference on High Performance Computing and Communications
A Qualitative Risk Analysis for the GPRS Technology
EUC '08 Proceedings of the 2008 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing - Volume 02
pMapper: power and migration cost aware application placement in virtualized systems
Proceedings of the 9th ACM/IFIP/USENIX International Conference on Middleware
Energy aware consolidation for cloud computing
HotPower'08 Proceedings of the 2008 conference on Power aware computing and systems
Energy-Aware Scheduling in Virtualized Datacenters
CLUSTER '10 Proceedings of the 2010 IEEE International Conference on Cluster Computing
Brokering of risk-aware service level agreements in grids
Concurrency and Computation: Practice & Experience
Risk assessment in service provider communities
GECON'11 Proceedings of the 8th international conference on Economics of Grids, Clouds, Systems, and Services
Editorial: The management of cloud systems
Future Generation Computer Systems
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Cloud computing is an innovative and promising paradigm that is leading to remarkable changes in the way in which hardware and software are designed and purchased, as well as how IT systems are managed. However, the Cloud is a risky paradigm. For instance, the use of Cloud services, which usually are external assets to their consumers, implies unprecedented risks that must be taken into account. In this paper, we propose the involvement of the risk management discipline into the Cloud computing realm. We present a risk management approach led by business-level objectives (BLOs) of Cloud organizations. Its main goal is to assist in business-driven self-managed Cloud providers, by facing uncertainties always present in their internal decision-making processes. Our Cloud-aware risk management method includes a SEmi-quantitative BLO-driven Cloud Risk Assessment (SEBCRA) as the core subprocess. Its aim is to constantly rank and prioritize risks affecting the governing business-level goals. In addition, we present, as a use case, a PaaS provider that incorporates our risk management approach to enhance the achievement of two BLOs, i.e. maximization of profit and customer satisfaction. In particular, it can manage-identify, assess, and treat-the most critical Cloud infrastructure-level risks, i.e. provisioning its private Cloud, either under- or over-provisioning, as well as resource failures. We present some risk treatment responses to face these risks and we evaluate their impact on the above-mentioned BLOs. Our results show that the best responses to address risks may change over time depending on the current provider's status. As a result, an adaptive management of risks should be considered as a mandatory process for Cloud providers to ensure their success in the ever-growing worldwide ecosystem of Clouds.