Managing SLAs of heterogeneous workloads using dynamic application placement
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Inclou dades d'ús des de 2022
Cita com:
hdl:2117/9978
Tipus de documentText en actes de congrés
Data publicació2008
EditorACM Press, NY
Condicions d'accésAccés obert
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continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
In this paper we address the problem of managing heterogeneous workloads in a virtualized data center. We consider two different workloads: transactional applications and long-running jobs. We present a technique that permits collocation of these workload types on the same physical
hardware. Our technique dynamically modifies workload placement by leveraging control mechanisms such as suspension and migration, and strives to optimally trade off resource allocation among these workloads in spite of their differing characteristics and performance objectives. Our approach builds upon our previous work on dynamically placing transactional workloads. This paper extends our framework with the capability to manage long-running workloads. We achieve this goal by using utility functions, which permit us to compare the performance of various workloads, and which are used to drive allocation decisions. We demonstrate that our technique maximizes heterogeneous workload performance while providing service differentiation based on high-level performance goals.
CitacióCarrera, D. [et al.]. Managing SLAs of heterogeneous workloads using dynamic application placement. A: International Symposium on High Performance Distributed Computing. "17th International Symposium on High Performance Distributed Computing". Boston: ACM Press, NY, 2008, p. 217-218.
ISBN978-1-59593-997-5
Versió de l'editorhttp://portal.acm.org/citation.cfm?id=1383453
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Carrera.pdf | 74,81Kb | Visualitza/Obre |