By Guilherme Koslovski, Tram Truong Huu, Johan Montagnat, Pascale Vicat-Blanc Primet (auth.), Dimiter R. Avresky, Michel Diaz, Arndt Bode, Bruno Ciciani, Eliezer Dekel (eds.)
ISBN-10: 3642126359
ISBN-13: 9783642126352
This booklet exhibits the convention complaints of CloudComp 2009 held in Munich, Germany, in October 2009.
Read or Download Cloud Computing: First International Conference, CloudComp 2009 Munich, Germany, October 19–21, 2009 Revised Selected Papers PDF
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Additional resources for Cloud Computing: First International Conference, CloudComp 2009 Munich, Germany, October 19–21, 2009 Revised Selected Papers
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< /p r o c (} s ~o l: s> Data link: a dat a link is a simple connect ion between a processor ou tput port and a processor input port as exemplified below:3-19, 2010 . In st itu t e for Co mputer Sciences, Social-Informatics a nd Telecom m uni ca t ion s Engineering 20 10 © 4 G. Koslovski et al. service and application layers on one hand and the physical resources layer on the other hand. The OS-level virtual machines paradigm is becoming a key feature of servers, distributed systems , and grids. It simplifies the management of resources and offers a greater flexibility in resource usage. Each Virtual Machine (VM) a) provides a confined environment where non-trusted applications can be run, b) allows establishing limits in hardware-resource access and usage, through isolation techniques, c) allows adapting the runtime environment to the application instead of porting the application to the runtime environment (this enhances application portability) , d) allows using dedicated or optimized as mechanisms (scheduler, virtual-memory management, network protocol) for each application, e) enables applications and processes running within a VM to be managed as a whole.
28% in th e best case). Table 2. 35% Resources distributed over 2 sites: when porting t he applicat ion from a local infrast ructure to a large scale infrastructure, th e dat a tr ansfer increases. Table 3 present s the dat a t ransfer t ime (s) of t he application services on VPXI 2 - Allocation I V (local) and VPXll - Allocation II (distributed over 2 sites). The measured overhead is 150% in th e worst case. Conversely, some local transfers may be slightly reduced. In t he case of our application however, thi s overhead has little impact on t he applicat ion makespan since it is compensated for by t he parallel dat a t ransfer and computat ions.
Cloud Computing: First International Conference, CloudComp 2009 Munich, Germany, October 19–21, 2009 Revised Selected Papers by Guilherme Koslovski, Tram Truong Huu, Johan Montagnat, Pascale Vicat-Blanc Primet (auth.), Dimiter R. Avresky, Michel Diaz, Arndt Bode, Bruno Ciciani, Eliezer Dekel (eds.)
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