Time Series Analysis: Forecasting and Control
Time Series Analysis: Forecasting and Control
The Vision of Autonomic Computing
Computer
Queueing Networks and Markov Chains
Queueing Networks and Markov Chains
Power provisioning for a warehouse-sized computer
Proceedings of the 34th annual international symposium on Computer architecture
A survey of autonomic computing—degrees, models, and applications
ACM Computing Surveys (CSUR)
DEUS: a discrete event universal simulator
Proceedings of the 2nd International Conference on Simulation Tools and Techniques
Cloud Computing: Distributed Internet Computing for IT and Scientific Research
IEEE Internet Computing
Virtual Infrastructure Management in Private and Hybrid Clouds
IEEE Internet Computing
The Convergence of Clouds, Grids, and Autonomics
IEEE Internet Computing
Towards characterizing cloud backend workloads: insights from Google compute clusters
ACM SIGMETRICS Performance Evaluation Review
Performance and Power Management for Cloud Infrastructures
CLOUD '10 Proceedings of the 2010 IEEE 3rd International Conference on Cloud Computing
Mistral: Dynamically Managing Power, Performance, and Adaptation Cost in Cloud Infrastructures
ICDCS '10 Proceedings of the 2010 IEEE 30th International Conference on Distributed Computing Systems
Communications of the ACM
Environment-conscious scheduling of HPC applications on distributed Cloud-oriented data centers
Journal of Parallel and Distributed Computing
A parallel bi-objective hybrid metaheuristic for energy-aware scheduling for cloud computing systems
Journal of Parallel and Distributed Computing
URL: A unified reinforcement learning approach for autonomic cloud management
Journal of Parallel and Distributed Computing
Online optimization for scheduling preemptable tasks on IaaS cloud systems
Journal of Parallel and Distributed Computing
Architectures for autonomic service management in cloud-based systems
ISCC '11 Proceedings of the 2011 IEEE Symposium on Computers and Communications
A conceptual framework for adaptation
FASE'12 Proceedings of the 15th international conference on Fundamental Approaches to Software Engineering
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Interest is growing in open source tools that let organizations build IaaS clouds using their own internal infrastructures, alone or in conjunction with external ones. A key component in such private/hybrid clouds is virtual infrastructure management, i.e., the dynamic orchestration of virtual machines, based on the understanding and prediction of performance at scale, with uncertain workloads and frequent node failures. Part of the research community is trying to solve this and other IaaS problems looking to Autonomic Computing techniques, that can provide, for example, better management of energy consumption, quality of service (QoS), and unpredictable system behaviors. In this context, we first recall the main features of the NAM framework devoted to the design of distributed autonomic systems. Then we illustrate the organization and policies of a NAM-based Workload Manager, focusing on one of its components, the Capacity Planner. We show that, when it is not possible to obtain optimal energy-aware plans analytically, sub-optimal plans can be autonomically obtained using online discrete event simulation. Specifically, the proposed approach allows to cope with a broader range of working conditions and types of workloads.