2011 | OriginalPaper | Chapter
VM Placement in non-Homogeneous IaaS-Clouds
Authors : Konstantinos Tsakalozos, Mema Roussopoulos, Alex Delis
Published in: Service-Oriented Computing
Publisher: Springer Berlin Heidelberg
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Infrastructure-as-a-Service (IaaS) cloud providers often combine different hardware components in an attempt to form a single infrastructure. This single infrastructure hides any underlying heterogeneity and complexity of the physical layer. Given a non-homogeneous hardware infrastructure, assigning
VM
s to physical machines (
PM
s) becomes a particularly challenging task.
VM
placement decisions have to take into account the operational conditions of the cloud (e.g., current
PM
load) and load balancing prospects through
VM
migrations. In this work, we propose a service realizing a two-phase
VM
-to-
PM
placement scheme. In the first phase, we identify a promising group of
PM
s, termed
cohort
, among the many choices that might be available; such a cohort hosts the virtual infrastructure of the user request. In the second phase, we determine the final
VM
-to-
PM
mapping considering all low-level constraints arising from the particular user requests and special characteristics of the selected cohort. Our evaluation shows that in large non-homogeneous physical infrastructures, we significantly reduce the
VM
placement plan production time and improve plan quality.