2010
DOI: 10.1145/1672308.1672322
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Enhancing dynamic cloud-based services using network virtualization

Abstract: It is envisaged that services and applications will migrate to a cloud-computing paradigm where thin-clients on userdevices access, over the network, applications hosted in data centers by application service providers. Examples are cloudbased gaming applications and cloud-supported virtual desktops. For good performance and efficiency, it is critical that these services are delivered from locations that are the best for the current (dynamically changing) set of users. To achieve this, we expect that services … Show more

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Cited by 73 publications
(34 citation statements)
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“…We assume that the service request patterns change over time, e.g., due to commuting users, due to timezone effects, or due to unexpected events in sports or politics, rendering it worthwhile to migrate the service to different locations. For instance, it can make sense to transfer a service from China to Europe at night, to improve the access to the service both in terms of latency as well as cost (e.g., due to roaming) [18].…”
Section: Introductionmentioning
confidence: 99%
“…We assume that the service request patterns change over time, e.g., due to commuting users, due to timezone effects, or due to unexpected events in sports or politics, rendering it worthwhile to migrate the service to different locations. For instance, it can make sense to transfer a service from China to Europe at night, to improve the access to the service both in terms of latency as well as cost (e.g., due to roaming) [18].…”
Section: Introductionmentioning
confidence: 99%
“…6. Early research on data center networks investigated architectural construction, operation and scalability of DCs [6], [7], [8], [9], [10], [11]. Joint VM placement and routing for data center traffic engineering was addressed by [12].…”
Section: B Energy Consumptionmentioning
confidence: 99%
“…Ping is used here as virtualization products do not expose TMT and DT themselves (Salfner et al 2011). Similar approach was used in Fang Hao"s study to estimate DT (Hao et al 2009). The ping requests were directed to the target VM from remote VM after every 0.5 second and 0.01 second intervals (I).…”
Section: Experiments Designmentioning
confidence: 99%
“…The machine has firewall policy that allows the ICMP packet transmission. The firewall log files are analyzed to calculate TMT and DT (Salfner et al 2011;Hao et al 2009). UT for VF is measured as no other metric to measure uptime for VF is exposed by VF vendor or Cloud provider (Salfner et al 2011).…”
Section: Problem Definitionmentioning
confidence: 99%