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Context: Modern software systems often are distributed, run on virtualized platforms, implement complex tasks and operate on dynamically changing and unpredictable environments.
Existing monitoring mechanisms on virtualized platforms either takes a complete VM as the monitoring granularity, such that they cannot capture the malicious behaviors within individual VMs, or they focus on specific monitoring functions that cannot be used for heterogeneous VMs concurrently running on a single cloud node.
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The surface offset performance is benchmarked on various local and virtualized platforms to evaluate the losses from virtualization.
Moreover, CPs host services in trusted virtualized platforms using the trusted computing (TC) technology.
They focus on defining a virtualized platform that includes the edge devices and enables running custom application logic atop different resources throughout the network.
By modelling a queue system we aim to provide scalability to the cloud infrastructure running on a given virtualized platform.
The virtualized platform vkernel runs on is built on top of high-level abstractions provided by the real kernel.
Should the original database server be unavailable, the database-OS image can be dynamically re-instantiated on demand via a cloud computing virtualized platform.
Even though the original database server may no longer be available, the database-OS image can be dynamically re-instantiated on demand via a cloud computing virtualized platform.
We propose a coordinated admission control and adaptive resource provisioning approach for multi-tier service differentiation and performance improvement in a shared virtualized platform.
In a virtualized platform, the hardware is the razor and the software switch is the blades.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com