Performance tradeoffs in read-optimized databases
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
No "power" struggles: coordinated multi-level power management for the data center
Proceedings of the 13th international conference on Architectural support for programming languages and operating systems
Database servers tailored to improve energy efficiency
SETMDM '08 Proceedings of the 2008 EDBT workshop on Software engineering for tailor-made data management
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
Low-power amdahl-balanced blades for data intensive computing
ACM SIGOPS Operating Systems Review
Energy-efficient cluster computing with FAWN: workloads and implications
Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
Analyzing the energy efficiency of a database server
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
On energy management, load balancing and replication
ACM SIGMOD Record
Misco: a MapReduce framework for mobile systems
Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
Wimpy node clusters: what about non-wimpy workloads?
Proceedings of the Sixth International Workshop on Data Management on New Hardware
CODES/ISSS '10 Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
Energy management for MapReduce clusters
Proceedings of the VLDB Endowment
Towards energy-efficient database cluster design
Proceedings of the VLDB Endowment
Computing while charging: building a distributed computing infrastructure using smartphones
Proceedings of the 8th international conference on Emerging networking experiments and technologies
Managing smartphone testbeds with smartlab
LISA'13 Proceedings of the 27th international conference on Large Installation System Administration
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Increased energy costs and concerns for sustainability make the following question more relevant than ever: can we turn old or unused computing equipment into cost- and energy-efficient modules that can be readily repurposed? We believe the answer is yes, and our proposal is to turn unused smartphones into micro-data center composable modules. In this paper, we introduce the concept of a Micro-Cellstore (MCS), a stand-alone data-appliance housing dozens of recycled smartphones. Through detailed power and performance measurements on a Linux-based current-generation smartphone, we assess the potential of MCSs as a data management platform. In this paper we focus on scan-based partitionable workloads. We show that smartphones are overall more energy efficient than recently proposed low-power alternatives, based on an initial evaluation over a wide range of single-node database scan workloads, and that the gains become more significant when operating on narrow tuples (i.e., column-stores, or compressed row-stores). Our initial results are very encouraging, showing efficiency gains of up to 6×, and indicate several promising future directions.