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Volumn , Issue , 2011, Pages 51-60

Decoupling datacenter studies from access to large-scale applications: A modeling approach for storage workloads

Author keywords

[No Author keywords available]

Indexed keywords

ACCURATE MODELING; APPLICATION DEPLOYMENT; CAPITAL AND OPERATING COSTS; DATA CENTERS; DE-FRAGMENTATION; HIERARCHICAL REPRESENTATION; LARGE-SCALE APPLICATIONS; MODELING APPROACH; PERFORMANCE BENEFITS; REAL APPLICATIONS; SPATIAL AND TEMPORAL LOCALITY; STORAGE MODEL; STORAGE STUDIES; STORAGE SYSTEMS; TARGET WORKLOADS; TIME PERSPECTIVE; VALIDATION PROCESS; WIDE SPECTRUM;

EID: 84856189520     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IISWC.2011.6114196     Document Type: Conference Paper
Times cited : (18)

References (15)
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    • Characterization of storage workload traces from production windows servers
    • Seattle, WA, Sept.
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    • Kavalanekar, S.1    Worthington, B.2    Zha, Q.3    Sharda, V.4
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    • Server engineering insights for large-scale online services
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    • C. Kozyrakis, A. Kansal, S. Sankar, K. Vaid, "Server Engineering Insights for Large-Scale Online Services". In IEEE Micro, vol.30, no.4, July 2010.
    • (2010) IEEE Micro , vol.30 , Issue.4
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    • Storage characterization for unstructured data in online services applications
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  • 12
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.