{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,12,29]],"date-time":"2022-12-29T05:20:47Z","timestamp":1672291247648},"reference-count":19,"publisher":"Association for Computing Machinery (ACM)","issue":"9","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Proc. VLDB Endow."],"published-print":{"date-parts":[[2014,5]]},"abstract":"<jats:p>\n            Data center design is a tedious and expensive process. Recently, this process has become even more challenging as users of cloud services expect to have guaranteed levels of availability, durability and performance. A new challenge for the service providers is to find the most\n            <jats:italic>cost-effective<\/jats:italic>\n            data center design and configuration that will accommodate the users' expectations, on ever-changing workloads, and constantly evolving hardware and software components. In this paper, we argue that data center design should become a systematic process. First, it should be done using an integrated approach that takes into account both the hardware and the software interdependencies, and their impact on users' expectations. Second, it should be performed in a \"wind tunnel\", which uses large-scale simulation to systematically explore the impact of a data center configuration on both the users' and the service providers' requirements. We believe that this is the first step towards\n            <jats:italic>systematic data center design<\/jats:italic>\n            -- an exciting area for future research.\n          <\/jats:p>","DOI":"10.14778\/2732939.2732950","type":"journal-article","created":{"date-parts":[[2015,5,12]],"date-time":"2015-05-12T15:37:52Z","timestamp":1431445072000},"page":"781-784","source":"Crossref","is-referenced-by-count":3,"title":["Towards building wind tunnels for data center design"],"prefix":"10.14778","volume":"7","author":[{"given":"Avrilia","family":"Floratou","sequence":"first","affiliation":[{"name":"IBM Almaden Research Center"}]},{"given":"Frank","family":"Bertsch","sequence":"additional","affiliation":[{"name":"University of Wisconsin, Madison"}]},{"given":"Jignesh M.","family":"Patel","sequence":"additional","affiliation":[{"name":"University of Wisconsin, Madison"}]},{"given":"Georgios","family":"Laskaris","sequence":"additional","affiliation":[{"name":"Duke University"}]}],"member":"320","published-online":{"date-parts":[[2014,5]]},"reference":[{"key":"e_1_2_1_1_1","unstructured":"Amazon ec2 sla. http:\/\/aws.amazon.com\/ec2-sla\/.  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Availability in globally distributed storage systems. In OSDI, pages 61--74, 2010."},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/84537.84545"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.14778\/3402755.3402802"},{"issue":"1","key":"e_1_2_1_9_1","first-page":"5","article-title":"A what-if engine for cost-based mapreduce optimization","volume":"36","author":"Herodotou H.","year":"2013","unstructured":"H. Herodotou and S. Babu . A what-if engine for cost-based mapreduce optimization . IEEE Data Eng. Bull. , 36 ( 1 ): 5 -- 14 , 2013 . H. Herodotou and S. Babu. A what-if engine for cost-based mapreduce optimization. IEEE Data Eng. Bull., 36(1):5--14, 2013.","journal-title":"IEEE Data Eng. 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In FAST , pages 1 -- 16 , 2007 . B. Schroeder and G. A. Gibson. Disk failures in the real world: What does an mttf of 1,000,000 hours mean to you? In FAST, pages 1--16, 2007."},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2009.4"},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/1807128.1807161"},{"key":"e_1_2_1_18_1","first-page":"1","volume-title":"MASCOTS","author":"Wang G.","year":"2009","unstructured":"G. Wang , A. R. Butt , P. Pandey , and K. Gupta . A simulation approach to evaluating design decisions in mapreduce setups . In MASCOTS , pages 1 -- 11 , 2009 . G. Wang, A. R. Butt, P. Pandey, and K. Gupta. A simulation approach to evaluating design decisions in mapreduce setups. 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