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Macro-economic regulation for workload redistribution in large-scale shared infrastructure
dc.contributor.author | León Gutiérrez, Xavier |
dc.contributor.author | Navarro Moldes, Leandro |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors |
dc.date.accessioned | 2010-06-02T10:24:08Z |
dc.date.available | 2010-06-02T10:24:08Z |
dc.date.created | 2010-06 |
dc.date.issued | 2010-06 |
dc.identifier.citation | León, X.; Navarro, L. Macro-economic regulation for workload redistribution in large-scale shared infrastructure. A: Jornadas de Concurrencia y Sistemas Distribuidos. "XVIII Jornadas de Concurrencia y Sistemas Distribuidos". Vall de Núria: 2010, p. 97-112. |
dc.identifier.isbn | 978-84-920140-1-9 |
dc.identifier.uri | http://hdl.handle.net/2117/7481 |
dc.description.abstract | In this paper we study the problem of large-scale resource congestion from the control and regulation point of view. Applications and services running in large-scale shared infrastructures like Grids or PlanetLab have di erent resource usage pro les and di erent resource consumption strategies according to their speci c requirements. However, users of these types of infrastructure tend to prefer a subset of available nodes to execute their tasks. As a result, this pattern of user behaviour usually leads to an unfair distribution of work between nodes -i.e some nodes are highly loaded while the others remain almost idle. We finnd that most current research focuses on short-term and per-resource scheduling, and the issue of efficient resource allocation in the long-term and system-wide is not yet appropriately studied. Thus, there is a need for controlling, distributing and limiting the capacity of each participant to consume resources considering the state of the system as a whole. Our main contribution is the introduction of a novel macro-scheduling (long-term and system-wide) mechanism for resource capacity self-regulation in which virtual currency or money is used as a tool to govern resource and service usage in massively distributed settings, which are otherwise hard to control. We show by simulation that our approach successfully redistributes the load in a fair and economically-efficient manner. |
dc.format.extent | 16 p. |
dc.language.iso | eng |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors |
dc.subject.lcsh | Computational grids (Computer systems) |
dc.title | Macro-economic regulation for workload redistribution in large-scale shared infrastructure |
dc.type | Conference lecture |
dc.subject.lemac | Ordinadors, Xarxes d' -- Administració -- Processament de dades |
dc.contributor.group | Universitat Politècnica de Catalunya. CNDS - Xarxes de Computadors i Sistemes Distribuïts |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 2541156 |
dc.description.version | Postprint (published version) |
local.citation.author | León, X.; Navarro, L. |
local.citation.contributor | Jornadas de Concurrencia y Sistemas Distribuidos |
local.citation.pubplace | Vall de Núria |
local.citation.publicationName | XVIII Jornadas de Concurrencia y Sistemas Distribuidos |
local.citation.startingPage | 97 |
local.citation.endingPage | 112 |