Network performance of multiple virtual machine live migration in cloud federations

Abstract

The idea of pay-per-use computing incarnated by the cloud paradigm is gaining a lot of success, both for entertainment and business applications. As a consequence, the demand for computing, storage and communication resources to be deployed in data center infrastructures is increasing dramatically. This trend is fostering new forms of infrastructure sharing such as cloud federations, where the excess workload is smartly distributed across multiple data centers, following some kind of mutual agreement among the participating cloud providers. Federated clouds can obtain great advantages from virtualization technologies and, in particular, from multiple virtual machine live migration techniques, which allow to flexibly move bulk workload across heterogeneous computing environments with minimal service disruption. However, a quantitative characterization of the performance of the inter-data center network infrastructure underlying the cloud federation is essential to guarantee user's quality of service and optimize provider's resource utilization. The main contribution of this paper is the definition and application of an analytical model for dimensioning inter-data center network capacity in order to achieve some given performance levels, assuming some simple multiple virtual machine live migration strategies. An extensive set of results are provided that allow to understand the impact of the many parameters involved in the design of a cloud federation network.

An Optimizable Conditional Random Field-Based Migration Strategy for Virtual Machines to Improve the Security and Privacy Issues in Cloud Computing

“…Cerroni et al [19] adopted the well before-based VM migration methodology to integrate the advantages, including both strategies, combining the Time Series-based methodology with the three different methods for live migration. Although the suggested method reduces implementation complexity, it may result in a bit of increase in availability when contrasted to the usual pre-copy strategy.…”

Virtual machines pre-copy live migration cost modeling and prediction: a survey

“…In [34], the network transmission rate has directly proportional relationship with the dirty pages rate during the migration process. In [47] the transmission rate is function of the number of VMs to be migrated, the dirty pages rate, the maximum bandwidth of the network pipe and the time required to resume the VM at the destination host. The last cost parameter table to discuss is for the power and energy modeling and prediction in Table 6.…”

A Novel Method for Virtual Machine Placement Based on Euclidean Distance

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