LEADER 00946cam0-2200325---450- 001 990004353470403321 005 20080702153040.0 010 $a3-484-30939-3 035 $a000435347 035 $aFED01000435347 035 $a(Aleph)000435347FED01 035 $a000435347 100 $a19990604d1991----km-y0itay50------ba 101 0 $aeng 102 $aDE 105 $ay-------001yy 200 1 $aEnglish monolingual learners' dictionaries$ea user-oriented study$fJohn D. Battenburg 210 $aTübingen$cNiemeyer$d1991 215 $aX, 170 p.$d24 cm 225 1 $aLexicographica$v39 610 0 $aLingua inglese$aDizionari$aManuali 676 $a423.028 700 1$aBattenburg,$bJohn D.$0173877 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990004353470403321 952 $a423.028 BAT 1$bBibl.15759$fFLFBC 959 $aFLFBC 996 $aEnglish monolingual learners' dictionaries$9540171 997 $aUNINA LEADER 03932nam 22004935 450 001 9910300742603321 005 20200706013715.0 010 $a9781484239285 010 $a1484239288 024 7 $a10.1007/978-1-4842-3928-5 035 $a(CKB)4100000007142709 035 $a(MiAaPQ)EBC5599548 035 $a(DE-He213)978-1-4842-3928-5 035 $a(CaSebORM)9781484239285 035 $a(PPN)232474575 035 $a(OCoLC)1082522923 035 $a(OCoLC)on1082522923 035 $a(EXLCZ)994100000007142709 100 $a20181116d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBlock Trace Analysis and Storage System Optimization $eA Practical Approach with MATLAB/Python Tools /$fby Jun Xu 205 $a1st ed. 2018. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2018. 215 $a1 online resource (279 pages) 311 08$a9781484239278 311 08$a148423927X 327 $aChapter 1: Introduction -- Chapter 2: Trace Characteristics -- Chapter 3: Trace Collection -- Chapter 4: Trace Analysis -- Chapter 5: Case Study: Benchmarking Tools -- Chapter 6: Case Study: Modern Disks -- Chapter 7: Case Study: RAID -- Chapter 8: Case Study: Hadoop -- Chapter 9: Case Study: Ceph -- Appendix A: Tools and Functions -- Appendix B: Blktrace and Tools. 330 $aUnderstand the fundamental factors of data storage system performance and master an essential analytical skill using block trace via applications such as MATLAB and Python tools. You will increase your productivity and learn the best techniques for doing specific tasks (such as analyzing the IO pattern in a quantitative way, identifying the storage system bottleneck, and designing the cache policy). In the new era of IoT, big data, and cloud systems, better performance and higher density of storage systems has become crucial. To increase data storage density, new techniques have evolved and hybrid and parallel access techniques?together with specially designed IO scheduling and data migration algorithms?are being deployed to develop high-performance data storage solutions. Among the various storage system performance analysis techniques, IO event trace analysis (block-level trace analysis particularly) is one of the most common approaches for system optimization and design. However, the task of completing a systematic survey is challenging and very few works on this topic exist. Block Trace Analysis and Storage System Optimization brings together theoretical analysis (such as IO qualitative properties and quantitative metrics) and practical tools (such as trace parsing, analysis, and results reporting perspectives). The book provides content on block-level trace analysis techniques, and includes case studies to illustrate how these techniques and tools can be applied in real applications (such as SSHD, RAID, Hadoop, and Ceph systems). What You?ll Learn: Understand the fundamental factors of data storage system performance Master an essential analytical skill using block trace via various applications Distinguish how the IO pattern differs in the block level from the file level Know how the sequential HDFS request becomes ?fragmented? in final storage devices Perform trace analysis tasks with a tool based on the MATLAB and Python platforms. 606 $aComputer networks 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 615 0$aComputer networks. 615 14$aComputer Communication Networks. 676 $a518.028553 700 $aXu$b Jun$4aut$4http://id.loc.gov/vocabulary/relators/aut$0955314 801 0$bUMI 801 1$bUMI 906 $aBOOK 912 $a9910300742603321 996 $aBlock Trace Analysis and Storage System Optimization$92494543 997 $aUNINA