dc.creatorBittencourt L.F.
dc.creatorMadeira E.R.M.
dc.creatorDa Fonseca N.L.S.
dc.date2012
dc.date2015-06-25T20:26:59Z
dc.date2015-11-26T15:23:34Z
dc.date2015-06-25T20:26:59Z
dc.date2015-11-26T15:23:34Z
dc.date.accessioned2018-03-28T22:32:29Z
dc.date.available2018-03-28T22:32:29Z
dc.identifier9781467309219
dc.identifierGlobecom - Ieee Global Telecommunications Conference. , v. , n. , p. 1623 - 1628, 2012.
dc.identifier
dc.identifier10.1109/GLOCOM.2012.6503346
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84877683734&partnerID=40&md5=9dad54e3ca7ffd1828005e0baa746d74
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/90624
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/90624
dc.identifier2-s2.0-84877683734
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1260497
dc.descriptionThe so-called hybrid cloud is the composition of an infrastructure that comprises private resources as well as public resources leased from public clouds. Hybrid clouds can be utilized for the execution of applications composed of dependent jobs, usually modeled as workflows. In this scenario, a scheduler must distribute the components of the workflow onto available resources considering the communication demands and the available bandwidth in network links. However, such information can be imprecise, and consequently decisions on resource allocation can be ineffective. In this paper, we evaluate scheduling algorithms in the face of imprecise information on the availability of communication channels. Results showed that schedules are negatively affected by the unforeseen variations in bandwidth during the execution of the application. © 2012 IEEE.
dc.description
dc.description
dc.description1623
dc.description1628
dc.descriptionZhang, Q., Cheng, L., Boutaba, R., Cloud computing: State-of-the-art and research challenges (2010) Journal of Internet Services and Applications, 1 (1), pp. 7-18
dc.descriptionCasanova, H., Legrand, A., Zagorodnov, D., Berman, F., Heuristics for scheduling parameter sweep applications in grid environments (2000) Heterogeneous Computing Workshop, 2000. (HCW 2000) Proceedings. 9th, pp. 349-363
dc.descriptionArmbrust, M., Fox, A., Griffith, R., Joseph, A.D., Katz, R., Konwinski, A., Lee, G., Zaharia, M., A view of cloud computing (2010) Communications of the ACM, 53, pp. 50-58. , Apr
dc.descriptionDong, F., Akl, S.G., Scheduling algorithms for grid computing: State of the art and open problems (2006) Queen's University School of Computing, Kingston, Canada, Tech. Rep., , jan
dc.descriptionYu, J., Buyya, R., Ramamohanarao, K., Work flow scheduling algorithms for grid computing (2008) Studies in Computational Intelligence, 146, pp. 173-214
dc.descriptionPandey, S., Wu, L., Guru, S., Buyya, R., A particle swarm optimization-based heuristic for scheduling workflow applications in cloud computing environments (2010) 24th IEEE International Conference on Advanced Information Networking and Applications (AINA), pp. 400-407. , april
dc.descriptionYu, J., Buyya, R., Tham, C.K., Cost-based scheduling of scientific workflow applications on utility grids (2005) E-Science and Grid Computing, p. 8. , july, pp. -147
dc.descriptionBittencourt, L.F., Madeira, E.R.M., HCOC: A cost optimization algorithm for workflow scheduling in hybrid clouds (2011) Journal of Internet Services and Applications, 2 (3), pp. 207-227. , Aug
dc.descriptionBittencourt, L.F., Madeira, E.R.M., A performance-oriented adaptive scheduler for dependent tasks on grids (2008) Concurrency and Computation: Practice and Experience, 20 (9), pp. 1029-1049
dc.descriptionAbrishami, S., Naghibzadeh, M., Epema, D., Cost-driven scheduling of grid workflows using partial critical paths (2010) 11th IEEE/ACM International Conference on Grid Computing (GRID 2010), pp. 81-88. , oct
dc.descriptionKalantari, M., Akbari, M.K., Grid performance prediction using state-space model (2009) Concurrency and Computation : Practice and Experience, 21 (9), pp. 1109-1130. , Jun
dc.descriptionGautama, H., Van Gemund, A., Low-cost static performance prediction of parallel stochastic task compositions (2006) Parallel and Distributed Systems, IEEE Transactions on, 17 (1), pp. 78-91. , jan
dc.descriptionKhan, A., Yan, X., Tao, S., Anerousis, N., Workload characterization and prediction in the cloud: A multiple time series approach (2012) Workshop on Cloud Management (CloudMan 2012), NOMS Workshop Proceedings, , USA, April
dc.descriptionAllen, G., Angulo, D., Foster, I., Lanfermann, G., Liu, C., Radke, T., Seidel, E., Shalf, J., The cactus worm: Experiments with dynamic resource discovery and allocation in a grid environment (2001) International Journal of High Performance Computing Applications, 15, p. 2001
dc.descriptionSakellariou, R., Zhao, H., A low-cost rescheduling policy for efficient mapping of workflows on grid systems (2004) Scientific Programming, 12 (4), pp. 253-262. , http://dl.acm.org/citation.cfm?id=1240160.1240165, Dec
dc.descriptionBatista, D.M., Da Fonseca, N.L.S., Miyazawa, F.K., Granelli, F., Self-adjustment of resource allocation for grid applications (2008) Computer Networks, 52 (9), pp. 1762-1781. , Jun
dc.descriptionBatista, D.M., Da Fonseca, N.L.S., Robust scheduler for grid networks under uncertainties of both application demands and resource availability (2011) Computer Networks, 55 (1), pp. 3-19
dc.descriptionZhao, Y., Dobson, J., Foster, I., Moreau, L., Wilde, M., A notation and system for expressing and executing cleanly typed workflows on messy scientific data (2005) SIGMOD Records, 34 (3), pp. 37-43
dc.descriptionDeelman, E., (2008) Clouds: An opportunity for scientific applications? (keynote in the 2008 Cracow Grid Workshops)
dc.descriptionGil, Y., Deelman, E., Ellisman, M., Fahringer, T., Fox, G., Gannon, D., Goble, C., Myers, J., Examining the challenges of scientific workflows (2007) IEEE Computer, 40 (12), pp. 24-32. , dec
dc.languageen
dc.publisher
dc.relationGLOBECOM - IEEE Global Telecommunications Conference
dc.rightsfechado
dc.sourceScopus
dc.titleImpact Of Communication Uncertainties On Workflow Scheduling In Hybrid Clouds
dc.typeActas de congresos


Este ítem pertenece a la siguiente institución