A case for micro-cellstores: energy-efficient data management on recycled smartphones
暂无分享,去创建一个
[1] Luiz André Barroso,et al. The Case for Energy-Proportional Computing , 2007, Computer.
[2] Parthasarathy Ranganathan,et al. Energy Efficiency: The New Holy Grail of Data Management Systems Research , 2009, CIDR.
[3] Mehul A. Shah,et al. Analyzing the energy efficiency of a database server , 2010, SIGMOD Conference.
[4] Jignesh M. Patel,et al. Energy management for MapReduce clusters , 2010, Proc. VLDB Endow..
[5] Vanish Talwar,et al. No "power" struggles: coordinated multi-level power management for the data center , 2008, ASPLOS.
[6] Christoforos E. Kozyrakis,et al. On the energy (in)efficiency of Hadoop clusters , 2010, OPSR.
[7] David G. Andersen,et al. Energy-efficient cluster computing with FAWN: workloads and implications , 2010, e-Energy.
[8] Jignesh M. Patel,et al. Towards Eco-friendly Database Management Systems , 2009, CIDR.
[9] Amar Phanishayee,et al. FAWN: a fast array of wimpy nodes , 2009, SOSP '09.
[10] Daniel J. Abadi,et al. Performance tradeoffs in read-optimized databases , 2006, VLDB.
[11] Jeffrey F. Naughton,et al. On energy management, load balancing and replication , 2010, SGMD.
[12] Amar Phanishayee,et al. FAWN: a fast array of wimpy nodes , 2011, Commun. ACM.
[13] Xiaorui Wang,et al. Exploring power-performance tradeoffs in database systems , 2010, 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010).
[14] Alexander S. Szalay,et al. Low-power amdahl-balanced blades for data intensive computing , 2010, OPSR.
[15] Lei Yang,et al. Accurate online power estimation and automatic battery behavior based power model generation for smartphones , 2010, 2010 IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS).
[16] Jignesh M. Patel,et al. Wimpy node clusters: what about non-wimpy workloads? , 2010, DaMoN '10.
[17] Dimitrios Gunopulos,et al. Misco: a MapReduce framework for mobile systems , 2010, PETRA '10.