02284nlm 2200301Ia 450 99647226200331620220530130310.00-520-26687-020100609d2011---- uy 0engUSdrcnuFrom the Indian Ocean to the Mediterraneanthe global trade networks of Armenian merchants from New Julfa /by Sebouh David AslanianBerkeley [etc.]University of California Press2011Testo elettronico (PDF) (XX, 363 p.)<<The>> California world history library17Base dati testualeAttingendo a una ricca raccolta di documenti, inclusa la corrispondenza che non si vedeva da 300 anni, questo studio esplora l'emergere e la crescita di una straordinaria rete commerciale globale gestita da mercanti di seta armeni da un piccolo avamposto nell'impero persiano. Con sede a New Julfa, Isfahan, nell'attuale Iran, questi mercanti gestivano una rete di insediamenti commerciali che si estendeva da Londra e Amsterdam a Manila e Acapulco. Gli armeni di New Julfan erano l'unica comunità eurasiatica in grado di operare contemporaneamente e con successo in tutti i principali imperi del primo mondo moderno, sia gli imperi asiatici della terraferma che gli imperi marittimi emergenti, sorprendentemente senza i benefici di una rete imperiale che ha accompagnato e facilitato l'espansione mercantile europea durante lo stesso periodo. Questo libro porta alla luce per la prima volta il mondo cosmopolita transimperiale dei New Julfan. Tra gli altri argomenti, esplora gli effetti del commercio a lunga distanza sull'organizzazione della vita comunitaria, l'etica della fiducia e della cooperazione che esisteva tra i mercanti e l'importanza delle reti di informazione e della comunicazione nel funzionamento delle prime comunità mercantili moderne.<<The>> California world history library17CommercioRuolo [dei] Mercanti armeniSec. 17.- 18.BNCF382.0899199205595ASLANIAN,Sebouh David1012895ITcbaREICAT996472262003316EBERFrom the Indian Ocean to the Mediterranean2353316UNISA03932nam 22004935 450 991030074260332120200706013715.09781484239285148423928810.1007/978-1-4842-3928-5(CKB)4100000007142709(MiAaPQ)EBC5599548(DE-He213)978-1-4842-3928-5(CaSebORM)9781484239285(PPN)232474575(OCoLC)1082522923(OCoLC)on1082522923(EXLCZ)99410000000714270920181116d2018 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierBlock Trace Analysis and Storage System Optimization A Practical Approach with MATLAB/Python Tools /by Jun Xu1st ed. 2018.Berkeley, CA :Apress :Imprint: Apress,2018.1 online resource (279 pages)9781484239278 148423927X Chapter 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.Understand 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.Computer networksComputer Communication Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/I13022Computer networks.Computer Communication Networks.518.028553Xu Junauthttp://id.loc.gov/vocabulary/relators/aut955314UMIUMIBOOK9910300742603321Block Trace Analysis and Storage System Optimization2494543UNINA