Mercury and freon: temperature emulation and management for server systems
Proceedings of the 12th international conference on Architectural support for programming languages and operating systems
Attaining soft real-time constraint and energy-efficiency in web servers
Proceedings of the 2008 ACM symposium on Applied computing
Power-aware dynamic placement of HPC applications
Proceedings of the 22nd annual international conference on Supercomputing
Multi-mode energy management for multi-tier server clusters
Proceedings of the 17th international conference on Parallel architectures and compilation techniques
pMapper: power and migration cost aware application placement in virtualized systems
Proceedings of the 9th ACM/IFIP/USENIX International Conference on Middleware
A framework for dynamic adaptation of power-aware server clusters
Proceedings of the 2009 ACM symposium on Applied Computing
Utility-based scheduling for grid computing under constraints of energy budget and deadline
Computer Standards & Interfaces
Power-aware provisioning of Cloud resources for real-time services
Proceedings of the 7th International Workshop on Middleware for Grids, Clouds and e-Science
Auction resource allocation mechanisms in grids of heterogeneous computers
WSEAS Transactions on Computers
Energy-aware grid resource scheduling: model and algorithm
International Journal of Computer Applications in Technology
Joint optimization of idle and cooling power in data centers while maintaining response time
Proceedings of the fifteenth edition of ASPLOS on Architectural support for programming languages and operating systems
Adaptive fair resource management with an arbiter for multi-tier computing systems
ETFA'09 Proceedings of the 14th IEEE international conference on Emerging technologies & factory automation
Power optimization for dynamic configuration in heterogeneous web server clusters
Journal of Systems and Software
Dynamic optimization of power and performance for virtualized server clusters
Proceedings of the 2010 ACM Symposium on Applied Computing
Introducing Scalileo: a Java based scaling framework
Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
A dynamic optimization model for power and performance management of virtualized clusters
Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
Robust and flexible power-proportional storage
Proceedings of the 1st ACM symposium on Cloud computing
Power and performance control of soft real-time web server clusters
Information Processing Letters
Server workload analysis for power minimization using consolidation
USENIX'09 Proceedings of the 2009 conference on USENIX Annual technical conference
Towards power efficient consolidation and distribution of virtual machines
Proceedings of the 48th Annual Southeast Regional Conference
Multi-tier Energy Management Strategy for HPC Clusters
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
Environment-conscious scheduling of HPC applications on distributed Cloud-oriented data centers
Journal of Parallel and Distributed Computing
Power management schemes for heterogeneous clusters under quality of service requirements
Proceedings of the 2011 ACM Symposium on Applied Computing
Resource allocation to conserve energy in distributed computing
International Journal of Grid and Utility Computing
Platform synthesis and partitioning of real-time tasks for energy efficiency
Journal of Systems Architecture: the EUROMICRO Journal
Low-energy automated scheduling of computing resources
Proceedings of the 1st ACM/IEEE workshop on Autonomic computing in economics
BrownMap: enforcing power budget in shared data centers
Proceedings of the ACM/IFIP/USENIX 11th International Conference on Middleware
Power-aware linear programming based scheduling for heterogeneous computer clusters
Future Generation Computer Systems
T-Alloc: A practical energy efficient resource allocation algorithm for traditional data centers
Future Generation Computer Systems
A performance and energy optimization mechanism for cooperation-oriented multiple server clusters
Future Generation Computer Systems
Future Generation Computer Systems
Evolutionary multiobjective optimization for green clouds
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
HTCPNs---Based modelling and evaluation of dynamic computer cluster reconfiguration
CEE-SET'09 Proceedings of the 4th IFIP TC 2 Central and East European conference on Advances in Software Engineering Techniques
Computers and Industrial Engineering
Energy-Efficient Thermal-Aware Autonomic Management of Virtualized HPC Cloud Infrastructure
Journal of Grid Computing
Power Aware Meta Scheduler for Adaptive VM Provisioning in IaaS Cloud
International Journal of Cloud Applications and Computing
Reducing energy consumption in distributed computing through economic resource allocation
International Journal of Grid and Utility Computing
Adaptive workload driven dynamic power management for high performance computing clusters
Computers and Electrical Engineering
Market mechanisms for managing datacenters with heterogeneous microarchitectures
ACM Transactions on Computer Systems (TOCS)
Power-aware optimization for heterogeneous multi-tier clusters
Journal of Parallel and Distributed Computing
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With increasing costs of energy consumption and cooling, power management in server clusters has become an increasingly important design issue. Current clusters for real-time applications are designed to handle peak loads, where all servers are fully utilized. In practice, peak load conditions rarely happen and clusters are most of the time underutilized. This creates the opportunity for using slower frequencies, and thus smaller energy consumption, with little or no impact on the Quality of Service (QoS), for example, performance and timeliness. In this work we present a cluster-wide QoS-aware technique that dynamically reconfigures the cluster to reduce energy consumption during periods of reduced load. Moreover, we also investigate the effects of local QoS-aware power management using Dynamic Voltage Scaling (DVS). Since most real-world clusters consist of machines of different kind (in terms of both performance and energy consumption) we focus on heterogeneous clusters. For validation, we describe and evaluate an implementation of the proposed scheme using the Apache Webserver in a small realistic cluster. Our experimental results show that using our scheme it is possible to save up to 45% of the total energy consumed by the servers, maintaining average response times within the specified deadlines and number of dropped requests within the required amount.