{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,28]],"date-time":"2025-05-28T10:10:02Z","timestamp":1748427002444,"version":"3.41.0"},"publisher-location":"Cham","reference-count":41,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319198477"},{"type":"electronic","value":"9783319198484"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-19848-4_7","type":"book-chapter","created":{"date-parts":[[2015,6,4]],"date-time":"2015-06-04T13:11:34Z","timestamp":1433423494000},"page":"103-118","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Energy Consumption Analysis of HPC Applications Using NoSQL Database Feature of EnergyAnalyzer"],"prefix":"10.1007","author":[{"given":"Shajulin","family":"Benedict","sequence":"first","affiliation":[]},{"given":"R. S.","family":"Rejitha","sequence":"additional","affiliation":[]},{"given":"C.","family":"Bright","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,6,5]]},"reference":[{"key":"7_CR1","unstructured":"Amazon HPC, Amazon HPC services (2014). https:\/\/aws.amazon.com\/hpc\/"},{"key":"7_CR2","unstructured":"Anand Sivasubramaniam Make IT Green: The TCS way, Tech report, pp. 1\u201312 (2008). www.tcs.com\/tcs_innovation_whitepaper_Make-IT-Green.pdf"},{"key":"7_CR3","doi-asserted-by":"crossref","unstructured":"Cheng, Y., Zeng, Y.: Automatic energy status controlling with dynamic voltage scaling in power-aware high performance computing cluster. In: Proceedings of 12th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT), pp. 412\u2013416 (2011)","DOI":"10.1109\/PDCAT.2011.24"},{"key":"7_CR4","doi-asserted-by":"crossref","unstructured":"Whaley, R.C., Dongarra, J.J.: Automatically tuned linear algebra software. In: Proceedings of the 1998 ACM\/IEEE Conference on Supercomputing (SC 1998). IEEE Computer Society, Washington, D.C., pp. 1\u201327 (1998)","DOI":"10.1109\/SC.1998.10004"},{"key":"7_CR5","unstructured":"Compiler, Compiler Optimization Switches (2014). http:\/\/gcc.gnu.org\/onlinedocs\/gcc\/Optimize-Options.html"},{"key":"7_CR6","doi-asserted-by":"crossref","unstructured":"Conejero, J., Rana, O., Burnap, P., Morgan, J., Carrin, C., Caminero, B.: Characterising the power consumption of hadoop clouds - a social media analysis case study. In: Proceedings of CLOSER, pp. 233\u2013243 (2013)","DOI":"10.5220\/0004373502330243"},{"key":"7_CR7","doi-asserted-by":"crossref","unstructured":"Cooper, K.D., Schielke, P.J., Subramanian, D.: Optimizing for reduced code space using genetic algorithms. In: Proceedings of the Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES), p. 19 (1999)","DOI":"10.1145\/314403.314414"},{"key":"7_CR8","unstructured":"Dagstuhl participants (2013). http:\/\/www.dagstuhl.de\/program\/calendar\/partlist\/?semnr=13401&SUOG"},{"key":"7_CR9","unstructured":"Google Compute Engine and NoSQL. http:\/\/www.infoq.com\/news\/2013\/05\/google-compute-engine"},{"key":"7_CR10","unstructured":"GreenLists, Top 500 List of Green Supercomputers (2014). http:\/\/www.green500.org\/news\/green500-list-november-2013"},{"key":"7_CR11","unstructured":"Herbert, J., Peter, T., Durillo, J.J., Simone, P., Philipp, G., Thomas, F., Moritsch, H.: A multi-objective auto-tuning framework for parallel codes. In: SC 2012 (2012)"},{"key":"7_CR12","unstructured":"hpcc. http:\/\/icl.cs.utk.edu\/hpcc\/"},{"issue":"2","key":"7_CR13","doi-asserted-by":"crossref","first-page":"685","DOI":"10.1002\/cpe.1553","volume":"22","author":"L Adhianto","year":"2010","unstructured":"Adhianto, L., Banerjee, S., Fagan, M., Krentel, M., Marin, G., Crummey, J.M., Tallent, N.R.: HPCToolkit: tools for performance analysis of optimized parallel programs. Concurrency Comput. Pract. Exp. 22(2), 685\u2013701 (2010)","journal-title":"Concurrency Comput. Pract. Exp."},{"key":"7_CR14","unstructured":"Intel In-built Sensors, Running Average Power Limit for Xeon Processors, July 2012. http:\/\/www.intel.com\/xeon"},{"key":"7_CR15","unstructured":"Layton, J.: The Cloud\u2019s Role in HPC (2014). http:\/\/www.admin-magazine.com\/HPC\/Articles\/The-Cloud-s-Role-in-HPC"},{"issue":"4","key":"7_CR16","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1007\/s00450-011-0196-7","volume":"27","author":"M Knobloch","year":"2011","unstructured":"Knobloch, M., Mohr, B., Minartz, T.: Determine energy-saving potential in wait-states of large-scale parallel programs. Comput. Sci. Res. Dev. 27(4), 255\u2013263 (2011)","journal-title":"Comput. Sci. Res. Dev."},{"key":"7_CR17","doi-asserted-by":"publisher","unstructured":"Le, K., Ricardo, B., Zhang, J., Yogesh, J., Meng, J., Nguyen, T.D.: Reducing electricity cost through virtual machine placement in high performance computing clouds. In: Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2011, pp. 1\u201322 (2011). doi:10.1145\/2063384.2063413","DOI":"10.1145\/2063384.2063413"},{"key":"7_CR18","unstructured":"LRZ Supercomputer Information. http:\/\/www.lrz.de\/services\/compute\/supermuc\/systemdescription\/"},{"key":"7_CR19","unstructured":"LucidWorks, LucidWorks Integrates with MongoDB (2013). http:\/\/archive.hpcwire.com\/hpccloud\/2013-03-18\/lucidworks_integrates_with_mongodb.html"},{"key":"7_CR20","doi-asserted-by":"crossref","unstructured":"Malony, A., Biersdorff, S., Shende, S., Jagode, H., Tomov, S., Juckeland, G., Dietrich, R., Poole, D., Lamb, C.: Parallel performance measurement of heterogeneous parallel systems with GPUs. In: International Conference on Parallel Processing ICPP 2011, Taipei, Taiwan, pp. 13\u201316 (2011)","DOI":"10.1109\/ICPP.2011.71"},{"key":"7_CR21","doi-asserted-by":"crossref","unstructured":"Hahnel, M., Dobel, B., Volp, M., Hartig, H.: Measuring Energy Consumption for Short Code Paths Using RAPL, July 2012. www.sigmetrics.org\/greenmetrics\/Hahnel.pdf","DOI":"10.1145\/2425248.2425252"},{"key":"7_CR22","unstructured":"MongoDB. http:\/\/docs.mongodb.org\/manual\/faq\/concurrency\/"},{"key":"7_CR23","unstructured":"MontBlanc Project (2014). http:\/\/www.montblanc-project.eu"},{"key":"7_CR24","unstructured":"Niels, B.: New Intel Xeon Phi Coprocessors to have Xeon CPUs On Board (2013). http:\/\/insidehpc.com\/2013\/05\/24\/new-intel-xeon-phi-coprocessors-to-have-xeons-on-board\/"},{"key":"7_CR25","unstructured":"NoSQL. http:\/\/nosql-database.org\/"},{"key":"7_CR26","unstructured":"NoSQL is useful. http:\/\/www.infoq.com\/news\/2013\/04\/gartner-technology-trends\/"},{"key":"7_CR27","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"463","DOI":"10.1007\/978-3-642-28145-7_45","volume-title":"Applied Parallel and Scientific Computing","author":"M Geimer","year":"2012","unstructured":"Geimer, M., Saviankou, P., Strube, A., Szebenyi, Z., Wolf, F., Wylie, B.J.N.: Further improving the scalability of the scalasca toolset. In: J\u00f3nasson, K. (ed.) PARA 2010, Part II. LNCS, vol. 7134, pp. 463\u2013473. Springer, Heidelberg (2012)"},{"key":"7_CR28","unstructured":"Wright, N.J., Pfeiffer, W., Snavely, A.: Characterizing parallel scaling of scientific applications using IPM. In: The 10th LCI International Conference on High-Performance Clustered Computing, Boulder, pp. 1\u201321 (2009)"},{"key":"7_CR29","unstructured":"Penguin Computing, Penguin Computing on Demand (2014). http:\/\/www.penguincomputing.com\/services\/hpc-cloud\/pod"},{"key":"7_CR30","unstructured":"PowerAdvisor, HP Power Advisor utility: a tool for estimating power requirements for HP ProLiant server systems, July 2012. http:\/\/h20000.www2.hp.com\/bc\/docs\/support\/SupportManual\/c01861599\/c01861599.pdf"},{"key":"7_CR31","unstructured":"RCloud, Rcloud from R-HPC (2014). http:\/\/www.r-hpc.com\/"},{"issue":"4","key":"7_CR32","doi-asserted-by":"publisher","first-page":"705","DOI":"10.1007\/s10270-012-0228-1","volume":"12","author":"K Sachs","year":"2012","unstructured":"Sachs, K., Kounev, S., Buchmann, A.: Performance modeling and analysis of message-oriented event-driven systems. Softw. Syst. Model. 12(4), 705\u2013729 (2012). doi:10.1007\/s10270-012-0228-1","journal-title":"Softw. Syst. Model."},{"key":"7_CR33","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"452","DOI":"10.1007\/978-3-642-28145-7_44","volume-title":"Applied Parallel and Scientific Computing","author":"S Benedict","year":"2012","unstructured":"Benedict, S., Gerndt, M.: Automatic performance analysis of OpenMP codes on a scalable shared memory system using periscope. In: J\u00f3nasson, K. (ed.) PARA 2010, Part II. LNCS, vol. 7134, pp. 452\u2013462. Springer, Heidelberg (2012)"},{"key":"7_CR34","doi-asserted-by":"crossref","unstructured":"Benedict, S., Rejitha, R.S., Bright, C.B.: Energy consumption-based performance tuning of software and applications using particle swarm optimization. In: 6th IEEE CSI International Conference on Software Engineering (CONSEG) 2012, pp. 1\u20136 (2012)","DOI":"10.1109\/CONSEG.2012.6349513"},{"issue":"2","key":"7_CR35","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1007\/s00607-012-0213-0","volume":"95","author":"S Benedict","year":"2013","unstructured":"Benedict, S.: Performance issues and performance analysis tools for HPC cloud applications: a survey. Computing 95(2), 89\u2013108 (2013). doi:10.1007\/s00607-012-0213-0","journal-title":"Computing"},{"issue":"6","key":"7_CR36","doi-asserted-by":"publisher","first-page":"1709","DOI":"10.1016\/j.jnca.2012.08.003","volume":"35","author":"S Benedict","year":"2012","unstructured":"Benedict, S.: Energy-aware performance analysis methodologies for HPC architectures - an exploratory study. J. Netw. Comput. Appl. 35(6), 1709\u20131719 (2012)","journal-title":"J. Netw. Comput. Appl."},{"key":"7_CR37","doi-asserted-by":"crossref","unstructured":"Song, S., Grove, M., Cameron, K.W.: An iso-energy-efficient approach to scalable system power-performance optimization. In: Proceedings of the IEEE International Conference on Cluster Computing (Cluster 2011), Austin, Texas, pp. 262\u2013271, September 2011","DOI":"10.1109\/CLUSTER.2011.37"},{"issue":"2","key":"7_CR38","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1177\/1094342006064482","volume":"20","author":"S Shende","year":"2006","unstructured":"Shende, S., Malony, A.D.: The TAU parallel performance system. Int. J. High Perform. Comput. 20(2), 287\u2013311 (2006)","journal-title":"Int. J. High Perform. Comput."},{"key":"7_CR39","unstructured":"Do, T., Rowshdeh, S., Shi, W.: pTop: A Process-level Power Profiling Tool, July 2012. www.sigops.org\/sosp\/sosp09\/papers\/hotpower_13_do.pdf"},{"key":"7_CR40","doi-asserted-by":"publisher","unstructured":"Viswanathan, H., Lee, E.K., Rodero I., Pompili D., Parashar M., Gamell M.: Energy-aware application-centric VM allocation for HPC workloads. In: 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW), pp. 890\u2013897 (2011). doi:10.1109\/IPDPS.2011.234","DOI":"10.1109\/IPDPS.2011.234"},{"key":"7_CR41","doi-asserted-by":"crossref","unstructured":"Simmhan, Y., Noor, M.U.: Scalable prediction of energy consumption using incremental time series clustering. In: BigData Conference, pp. 29\u201336 (2013)","DOI":"10.1109\/BigData.2013.6691774"}],"container-title":["Lecture Notes in Computer Science","Intelligent Cloud Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-19848-4_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,28]],"date-time":"2025-05-28T09:43:52Z","timestamp":1748425432000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-19848-4_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319198477","9783319198484"],"references-count":41,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-19848-4_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"5 June 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}