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Open AccessBook Chapter10.1007/978-3-642-45005-1_6

QoS-Aware Service VM Provisioning in Clouds: Experiences, Models, and Cost Analysis

Mathias Björkqvist,Sebastiano Spicuglia,Lydia Y. Chen,Walter Binder-2013-01-01-Lecture notes in computer science
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TL;DRAbstract

Recent studies show that service systems hosted in clouds can elastically scale the provisioning of pre-configured virtual machines (VMs) with workload demands, but suffer from performance variability, particularly from varying response times. Service management in clouds is further complicated especially when aiming at striking an optimal trade-off between cost (i.e., proportional to the number and types of VM instances) and the fulfillment of quality-of-service (QoS) properties (e.g., a system should serve at least 30 requests per second for more than 90% of the time). In this paper, we develop a QoS-aware VM provisioning policy for service systems in clouds with high capacity variability, using experimental as well as modeling approaches. Using a wiki service hosted in a private cloud, we empirically quantify the QoS variability of a single VM with different configurations in terms of capacity. We develop a Markovian framework which explicitly models the capacity variability of a se

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Recent studies show that service systems hosted in clouds can elastically scale the provisioning of pre-configured virtual machines (VMs) with workload demands, but suffer from performance variability, particularly from varying response times. Service management in clouds is further complicated especially when aiming at striking an optimal trade-off between cost (i.e., proportional to the number and types of VM instances) and the fulfillment of quality-of-service (QoS) properties (e.g., a system should serve at least 30 requests per second for more than 90% of the time). In this paper, we develop a QoS-aware VM provisioning policy for service systems in clouds with high capacity variability, using experimental as well as modeling approaches. Using a wiki service hosted in a private cloud, we empirically quantify the QoS variability of a single VM with different configurations in terms of capacity. We develop a Markovian framework which explicitly models the capacity variability of a se

Keywords

ProvisioningComputer scienceCloud computingQuality of serviceService (business)Computer networkOperating systemBusiness

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