Abstract: Techniques for virtual machine placement in a datacenter are provided. The techniques include using one or more server power characteristics to determine a power cost for any given virtual machine placement in the datacenter, using a heat profile of one or more datacenter components in relation to one or more cooling resources in the datacenter to determine cooling cost for any given virtual machine placement in the datacenter, and using the power cost and cooling cost to apply integrated energy cost minimization at one or more levels of hierarchy in the datacenter to determine placement of a virtual machine in the datacenter such that the integrated energy cost of the datacenter is minimized.

Abstract: Embodiments of the invention provide power savings via performing application workload consolidation to servers using off-peak values for application workload demand. Embodiments of the invention are designed to achieve significant power savings while containing performance risk associated with server consolidation.

Abstract: Techniques for eradicating operating system jitter-induced slowdown are provided. The techniques include allocating one or more computing resources to one or more logical partitions of one or more parallel programs in proportion of one or more cycles consumed by one or more sources of operating system jitter in each compute phase in each of the one or more logical partitions.

Abstract: Techniques for enabling high-performance computing are provided. The techniques include resizing a logical partition in a non-dedicated compute cluster server to enable high-performance computing, wherein a high performance computing application is executed such that the high performance computing application is configured to complete execution of each of one or more application threads at a similar instance as a slowest thread in the cluster, and wherein the non-dedicated compute cluster comprises one or more servers and the logical partition is created by partitioning one or more server resources.

Abstract: Techniques for emulating operating system jitter on a platform using a given trace are provided. The techniques include calculating a scale factor, wherein the scale factor is equal to a maximum of measured overhead of introducing synthetic jitter on the platform and a resolution of one or more timer calls on the platform, scaling up each of one or more jitter values and each of one or more gaps between each of one or more jitter instances in the trace and an execution period of a benchmark parallel application using the scale factor, introducing synthetic jitter using each of the one or more scaled jitter values and each of the one or more scaled gaps from the trace while running the benchmark parallel application for the scaled execution period to emulate operating system jitter on a platform, and scaling down one or more final time measurements from the benchmark parallel application by the scale factor.

Abstract: A method for tuning performance of an operating system, the method comprising identifying all sources of operating system jitter; measuring the impact of each of the operating system jitter source; and tuning performance of the operating system, preferably by use of different approaches/techniques, which could include removing the sources of operating system jitter and/or delaying their execution and/or smoothening their execution over a longer period of time. Computer program code and systems are also provided.