IEEE Transactions on Very Large Scale Integration (VLSI) Systems
ASPLOS IX Proceedings of the ninth international conference on Architectural support for programming languages and operating systems
Critical power slope: understanding the runtime effects of frequency scaling
ICS '02 Proceedings of the 16th international conference on Supercomputing
The case for power management in web servers
Power aware computing
Power-aware QoS Management in Web Servers
RTSS '03 Proceedings of the 24th IEEE International Real-Time Systems Symposium
Joint Power Management of Memory and Disk
Proceedings of the conference on Design, Automation and Test in Europe - Volume 1
A performance-conserving approach for reducing peak power consumption in server systems
Proceedings of the 19th annual international conference on Supercomputing
Hibernator: helping disk arrays sleep through the winter
Proceedings of the twentieth ACM symposium on Operating systems principles
PARAID: a gear-shifting power-aware RAID
FAST '07 Proceedings of the 5th USENIX conference on File and Storage Technologies
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
Energy-efficient server clusters
PACS'02 Proceedings of the 2nd international conference on Power-aware computer systems
Towards energy-aware scheduling in data centers using machine learning
Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
Energy Efficient Resource Management in Virtualized Cloud Data Centers
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid 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
HotPower'08 Proceedings of the 2008 conference on Power aware computing and systems
ElasticTree: saving energy in data center networks
NSDI'10 Proceedings of the 7th USENIX conference on Networked systems design and implementation
Coordinating Power Control and Performance Management for Virtualized Server Clusters
IEEE Transactions on Parallel and Distributed Systems
AppFlow: Autonomic Performance-Per-Watt Management of Large-Scale Data Centers
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
Power-aware dynamic cache partitioning for CMPs
Transactions on high-performance embedded architectures and compilers III
Performance and energy modeling for live migration of virtual machines
Proceedings of the 20th international symposium on High performance distributed computing
Memory power management via dynamic voltage/frequency scaling
Proceedings of the 8th ACM international conference on Autonomic computing
iPOEM: a GPS tool for integrated management in virtualized data centers
Proceedings of the 8th ACM international conference on Autonomic computing
A robot as mobile sensor and agent in data center energy management
Proceedings of the 8th ACM international conference on Autonomic computing
Pack & Cap: adaptive DVFS and thread packing under power caps
Proceedings of the 44th Annual IEEE/ACM International Symposium on Microarchitecture
Effective dynamic voltage scaling through CPU-Boundedness detection
PACS'04 Proceedings of the 4th international conference on Power-Aware Computer Systems
Minimizing data center SLA violations and power consumption via hybrid resource provisioning
IGCC '11 Proceedings of the 2011 International Green Computing Conference and Workshops
Power consumption in enterprise-scale backup storage systems
FAST'12 Proceedings of the 10th USENIX conference on File and Storage Technologies
Policy optimization for dynamic power management
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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With the rapid growth of data centers and clouds, the power cost and power consumption of their computing and storage resources become critically important to be managed efficiently. Several research studies have shown that data servers typically operate at a low utilization of 10% to 15%, while their power consumption is close to those at peak loads. With this significant fluctuation in the workloads, an elastic delivery of computing services with an efficient power provisioning mechanism becomes an important design goal. Live workload migrations and virtualization are important techniques to optimize power and performance in large-scale data centers [5], [25] This paper presents an application specific autonomic adaptive power and performance management system that utilizes AppFlow-based reasoning to configure dynamically datacenter resources and workload allocations. This system will continuously monitor the workload to determine the current operating point of both workloads and the virtual machines (VMs) running these workloads and then predict the next operating points for these VMs. This enables the system to allocate the appropriate amount of hardware resources that can run efficiently the VM workloads with minimum power consumption. We have experimented with and evaluated our approach to manage the VMs running RUBiS bidding application. Our experimental results showed that our approach can reduce the VMs' power consumption up to 84% compared to static resource allocation and up to 30% compared to other methods with minimum performance degradation.