A case for redundant arrays of inexpensive disks (RAID)
SIGMOD '88 Proceedings of the 1988 ACM SIGMOD international conference on Management of data
Chained Declustering: A New Availability Strategy for Multiprocessor Database Machines
Proceedings of the Sixth International Conference on Data Engineering
VLDB '88 Proceedings of the 14th International Conference on Very Large Data Bases
Xen and the art of virtualization
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Energy conservation techniques for disk array-based servers
Proceedings of the 18th annual international conference on Supercomputing
Memory resource management in VMware ESX server
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
Ensemble-level Power Management for Dense Blade Servers
Proceedings of the 33rd annual international symposium on Computer Architecture
Exploiting redundancy to conserve energy in storage systems
SIGMETRICS '06/Performance '06 Proceedings of the joint international conference on Measurement and modeling of computer systems
On evaluating request-distribution schemes for saving energy in server clusters
ISPASS '03 Proceedings of the 2003 IEEE International Symposium on Performance Analysis of Systems and Software
Live migration of virtual machines
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
Transaction monitoring in ENCOMPASS: reliable distributed transaction processing
VLDB '81 Proceedings of the seventh international conference on Very Large Data Bases - Volume 7
On the energy (in)efficiency of Hadoop clusters
ACM SIGOPS Operating Systems Review
Delivering energy proportionality with non energy-proportional systems: optimizing the ensemble
HotPower'08 Proceedings of the 2008 conference on Power aware computing and systems
Wimpy node clusters: what about non-wimpy workloads?
Proceedings of the Sixth International Workshop on Data Management on New Hardware
Energy management for MapReduce clusters
Proceedings of the VLDB Endowment
Energy proportionality for disk storage using replication
Proceedings of the 14th International Conference on Extending Database Technology
A case for micro-cellstores: energy-efficient data management on recycled smartphones
Proceedings of the Seventh International Workshop on Data Management on New Hardware
Scalable load balancing in cluster storage systems
Middleware'11 Proceedings of the 12th ACM/IFIP/USENIX international conference on Middleware
Analysis of disk power management for data-center storage systems
Proceedings of the 3rd International Conference on Future Energy Systems: Where Energy, Computing and Communication Meet
FREP: Energy proportionality for disk storage using replication
Journal of Parallel and Distributed Computing
Towards energy-efficient database cluster design
Proceedings of the VLDB Endowment
Scalable load balancing in cluster storage systems
Proceedings of the 12th International Middleware Conference
Ursa: Scalable Load and Power Management in Cloud Storage Systems
ACM Transactions on Storage (TOS)
Power-reduction techniques for data-center storage systems
ACM Computing Surveys (CSUR)
Exploiting Redundancies and Deferred Writes to Conserve Energy in Erasure-Coded Storage Clusters
ACM Transactions on Storage (TOS)
UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
| Hi-index | 0.00 |
In this paper we investigate some opportunities and challenges that arise in energy-aware computing in a cluster of servers running data-intensive workloads. We leverage the insight that servers in a cluster are often underutilized, which makes it attractive to consider powering down some servers and redistributing their load to others. Of course, powering down servers naively will render data stored only on powered down servers inaccessible. While data replication can be exploited to power down servers without losing access to data, unfortunately, care must be taken in the design of the replication and server power down schemes to avoid creating load imbalances on the remaining "live" servers. Accordingly, in this paper we study the interaction between energy management, load balancing, and replication strategies for data-intensive cluster computing. In particular, we show that Chained Declustering -- a replication strategy proposed more than 20 years ago -- can support very flexible energy management schemes.