Massive arrays of idle disks for storage archives
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
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
Queue - Multiprocessors
Hibernator: helping disk arrays sleep through the winter
Proceedings of the twentieth ACM symposium on Operating systems principles
EERAID: energy efficient redundant and inexpensive disk array
Proceedings of the 11th workshop on ACM SIGOPS European workshop
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
Proceedings of the 1st ACM SIGOPS/EuroSys European Conference on Computer Systems 2006
MapReduce: simplified data processing on large clusters
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
PARAID: A gear-shifting power-aware RAID
ACM Transactions on Storage (TOS)
eRAID: Conserving Energy in Conventional Disk-Based RAID System
IEEE Transactions on Computers
Pergamum: replacing tape with energy efficient, reliable, disk-based archival storage
FAST'08 Proceedings of the 6th USENIX Conference on File and Storage Technologies
Pig latin: a not-so-foreign language for data processing
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Understanding and Designing New Server Architectures for Emerging Warehouse-Computing Environments
ISCA '08 Proceedings of the 35th Annual International Symposium on Computer Architecture
Data mining using high performance data clouds: experimental studies using sector and sphere
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Write off-loading: Practical power management for enterprise storage
ACM Transactions on Storage (TOS)
Low power mode in cloud storage systems
IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing
FAWN: a fast array of wimpy nodes
Proceedings of the ACM SIGOPS 22nd symposium on Operating systems principles
The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines
The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines
Energy-Efficient Cloud Computing
The Computer Journal
Systematic approach of using power save mode for cloud data processing services
International Journal of Ad Hoc and Ubiquitous Computing
A three-phase energy-saving strategy for cloud storage systems
Journal of Systems and Software
Hi-index | 0.00 |
Energy efficiency in cloud computing is becoming more and more important for IT operators of data centers. Several effort to use low power machines in the data center level has been explored. Also, data processing frameworks such as MapReduce and Hadoop are frequently used to process data intensive jobs. However, there have not been an extensive study on the impact of low power computers on such data processing frameworks. Actually, development of low power computers is demanding the architectural paradigm shift for cloud applications. In this paper, we evaluate Apache Hadoop on low power machines and study the feasibility of them in cloud systems. We also propose AnSwer (Augmentation and Substitution), an energy saving method to reduce energy consumption by introducing low power machines. In An-Swer, augmentation and substitution complement each other to prevent data loss and to improve overall power consumption.