Parallel database systems: the future of high performance database systems
Communications of the ACM
Ensemble-level Power Management for Dense Blade Servers
Proceedings of the 33rd annual international symposium on Computer Architecture
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
Making scheduling "cool": temperature-aware workload placement in data centers
ATEC '05 Proceedings of the annual conference on USENIX Annual Technical Conference
JouleSort: a balanced energy-efficiency benchmark
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Power provisioning for a warehouse-sized computer
Proceedings of the 34th annual international symposium on Computer architecture
Live migration of virtual machines
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
Disk failures in the real world: what does an MTTF of 1,000,000 hours mean to you?
FAST '07 Proceedings of the 5th USENIX conference on File and Storage Technologies
Proceedings of the VLDB Endowment
PowerNap: eliminating server idle power
Proceedings of the 14th international conference on Architectural support for programming languages and operating systems
DRAM errors in the wild: a large-scale field study
Proceedings of the eleventh international joint conference on Measurement and modeling of computer systems
A comparison of approaches to large-scale data analysis
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Tracking the power in an enterprise decision support system
Proceedings of the 14th ACM/IEEE international symposium on Low power electronics and design
FAWN: a fast array of wimpy nodes
Proceedings of the ACM SIGOPS 22nd symposium on Operating systems principles
On the energy (in)efficiency of Hadoop clusters
ACM SIGOPS Operating Systems Review
On energy management, load balancing and replication
ACM SIGMOD Record
Delivering energy proportionality with non energy-proportional systems: optimizing the ensemble
HotPower'08 Proceedings of the 2008 conference on Power aware computing and systems
Energy management for MapReduce clusters
Proceedings of the VLDB Endowment
A case for micro-cellstores: energy-efficient data management on recycled smartphones
Proceedings of the Seventh International Workshop on Data Management on New Hardware
Power management of online data-intensive services
Proceedings of the 38th annual international symposium on Computer architecture
Does low-power design imply energy efficiency for data centers?
Proceedings of the 17th IEEE/ACM international symposium on Low-power electronics and design
Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis
Energy efficient scheduling of MapReduce workloads on heterogeneous clusters
Green Computing Middleware on Proceedings of the 2nd International Workshop
Tarazu: optimizing MapReduce on heterogeneous clusters
ASPLOS XVII Proceedings of the seventeenth international conference on Architectural Support for Programming Languages and Operating Systems
Wimpy nodes with 10GbE: leveraging one-sided operations in soft-RDMA to boost memcached
USENIX ATC'12 Proceedings of the 2012 USENIX conference on Annual Technical Conference
Towards energy-efficient database cluster design
Proceedings of the VLDB Endowment
From A to E: analyzing TPC's OLTP benchmarks: the obsolete, the ubiquitous, the unexplored
Proceedings of the 16th International Conference on Extending Database Technology
Energy efficiency for MapReduce workloads: an in-depth study
ADC '12 Proceedings of the Twenty-Third Australasian Database Conference - Volume 124
Supercomputing with commodity CPUs: are mobile SoCs ready for HPC?
SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Scale-up vs scale-out for Hadoop: time to rethink?
Proceedings of the 4th annual Symposium on Cloud Computing
Hi-index | 0.00 |
The high cost associated with powering servers has introduced new challenges in improving the energy efficiency of clusters running data processing jobs. Traditional high-performance servers are largely energy inefficient due to various factors such as the over-provisioning of resources. The increasing trend to replace traditional high-performance server nodes with low-power low-end nodes in clusters has recently been touted as a solution to the cluster energy problem. However, the key tacit assumption that drives such a solution is that the proportional scale-out of such low-power cluster nodes results in constant scaleup in performance. This paper studies the validity of such an assumption using measured price and performance results from a low-power Atom-based node and a traditional Xeon-based server and a number of published parallel scaleup results. Our results show that in most cases, computationally complex queries exhibit disproportionate scaleup characteristics which potentially makes scale-out with low-end nodes an expensive and lower performance solution.