Resource pool management: Reactive versus proactive or let's be friends
Computer Networks: The International Journal of Computer and Telecommunications Networking
Memory overbooking and dynamic control of Xen virtual machines in consolidated environments
IM'09 Proceedings of the 11th IFIP/IEEE international conference on Symposium on Integrated Network Management
Resource provisioning for cloud computing
CASCON '09 Proceedings of the 2009 Conference of the Center for Advanced Studies on Collaborative Research
Resource allocation algorithms for virtualized service hosting platforms
Journal of Parallel and Distributed Computing
On the utility of DVFS for power-aware job placement in clusters
Euro-Par'11 Proceedings of the 17th international conference on Parallel processing - Volume Part I
CloudScale: elastic resource scaling for multi-tenant cloud systems
Proceedings of the 2nd ACM Symposium on Cloud Computing
A trace-based service level planning framework for enterprise application clouds
Proceedings of the 7th International Conference on Network and Services Management
A case for coordinated resource management in heterogeneous multicore platforms
ISCA'10 Proceedings of the 2010 international conference on Computer Architecture
Journal of Systems and Software
ACM SIGOPS Operating Systems Review
Concurrency and Computation: Practice & Experience
Towards a net-zero data center
ACM Journal on Emerging Technologies in Computing Systems (JETC)
IBM zEnterprise unified resource manager platform performance management
IBM Journal of Research and Development
A flexible elastic control plane for private clouds
Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference
Introducing service-level awareness in the cloud
Proceedings of the 4th annual Symposium on Cloud Computing
Self-Adaptive Resource Allocation in Cloud Applications
UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
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Recent advances in hardware and software virtualization offer unprecedented management capabilities for the mapping of virtual resources to physical resources. It is highly desirable to further create a "service hosting abstraction" that allows application owners to focus on service level objectives (SLOs) for their applications. This calls for a resource management solution that achieves the SLOs for many applications in response to changing data center conditions and hides the complexity from both application owners and data center operators. In this paper, we describe an automated capacity and workload management system that integrates multiple resource controllers at three different scopes and time scales. Simulation and experimental results confirm that such an integrated solution ensures efficient and effective use of data center resources while reducing service level violations for high priority applications.