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This section demonstrates the virtual machine placement problem by describing the input, processing, and output model in "Input, processing and output for the VM placement" section.
We formulate the energy-aware on-chip virtual machine placement problem as an optimization problem, and design a heuristic scheme based on ant-colony optimization.
While addressing the virtual machine placement problem is important, virtual machine consolidation is even more important to enable continuous reorganization of the already-placed virtual machines on the least number of physical machines.
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In "Optimizing virtual machine placement" section, we provide a precise description of the VM placement problem.
We know of no other work that has both addressed the same problem as we address (dynamic virtual machine placement with the objective of maximizing profit, taking into account both SLAs and energy) using a utility-based decision-making paradigm.
Most studies on the placement problem in cloud computing have been carried out in either the placement of virtual machines or an application component without considering the online solution with regard to both a structure of component-based applications and constraints on cloud infrastructure [34, 35, 36, 37].
He added, "It's not just a placement problem".
antenna placement problem.
The placement process suits both static and dynamic virtual machine placement.
Various placement problem formulations are discussed.
Its Multi-Cloud Engine is able to broker capabilities related to virtual machine placement in Public Clouds.
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