httperf—a tool for measuring web server performance
ACM SIGMETRICS Performance Evaluation Review
The Vision of Autonomic Computing
Computer
Live migration of virtual machines
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
On the Use of Fuzzy Modeling in Virtualized Data Center Management
ICAC '07 Proceedings of the Fourth International Conference on Autonomic Computing
Adaptive control of virtualized resources in utility computing environments
Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007
Agile dynamic provisioning of multi-tier Internet applications
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Generating Adaptation Policies for Multi-tier Applications in Consolidated Server Environments
ICAC '08 Proceedings of the 2008 International Conference on Autonomic Computing
Cloud service and service selection algorithm research
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Wikipedia workload analysis for decentralized hosting
Computer Networks: The International Journal of Computer and Telecommunications Networking
ICAC '09 Proceedings of the 6th international conference on Autonomic computing
Automated control in cloud computing: challenges and opportunities
ACDC '09 Proceedings of the 1st workshop on Automated control for datacenters and clouds
Autonomic virtual resource management for service hosting platforms
CLOUD '09 Proceedings of the 2009 ICSE Workshop on Software Engineering Challenges of Cloud Computing
Multi-Tiered On-Demand Resource Scheduling for VM-Based Data Center
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
An Efficient Resource Management System for On-Line Virtual Cluster Provision
CLOUD '09 Proceedings of the 2009 IEEE International Conference on Cloud Computing
Towards Self-Manageable Cloud Services
COMPSAC '09 Proceedings of the 2009 33rd Annual IEEE International Computer Software and Applications Conference - Volume 02
Resource provisioning for cloud computing
CASCON '09 Proceedings of the 2009 Conference of the Center for Advanced Studies on Collaborative Research
A business driven cloud optimization architecture
Proceedings of the 2010 ACM Symposium on Applied Computing
A service-oriented priority-based resource scheduling scheme for virtualized utility computing
HiPC'08 Proceedings of the 15th international conference on High performance computing
Energy Efficient Allocation of Virtual Machines in Cloud Data Centers
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
CLOUD '10 Proceedings of the 2010 IEEE 3rd International Conference on Cloud Computing
Decision Model for Cloud Computing under SLA Constraints
MASCOTS '10 Proceedings of the 2010 IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
SLA-aware Resource Management for Application Service Providers in the Cloud
NCCA '11 Proceedings of the 2011 First International Symposium on Network Cloud Computing and Applications
Architectures for autonomic service management in cloud-based systems
ISCC '11 Proceedings of the 2011 IEEE Symposium on Computers and Communications
MOSES: A Framework for QoS Driven Runtime Adaptation of Service-Oriented Systems
IEEE Transactions on Software Engineering
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A challenge in cloud resource management is to design self-adaptable solutions capable to react to unpredictable workload fluctuations and changing utility principles. This paper analyzes the problem from the perspective of an Application Service Provider (ASP) that uses a cloud infrastructure to achieve scalable provisioning of its services in the respect of QoS constraints. First we draw a taxonomy of IaaS provider and use the identified features to drive the design of four autonomic service management architectures differing on the degree of control an ASP have on the system. We implemented two of this solutions and related mechanism to test five different resource provisioning policies. The implemented testbed has been evaluated under a realistic workload based on Wikipedia access traces on Amazon EC2 platform. The experimental evaluation performed confirms that: the proposed policies are capable to properly dimension the system resources making the whole system self-adaptable respect to the workload fluctuation. Moreover, having full control over the resource management plan allow to save up to the 32% of resource allocation cost always in the respect of SLA constraints.