Abstract: Techniques for toxic workload mapping are provided. A state of a target workload is recorded along with a configuration and state of an environment that is processing the workload. Micro valuations are taken, via statistical sampling, for metrics associated with the workload and for different combinations of resources within the environment. The sampling taken at micro second intervals. The valuations are aggregated to form an index representing a toxic mapping for the workload within the environment. The toxic mapping is mined, in view of policy, to provide conditions and scenarios that may be deemed problematic within the workload and/or environment.

Abstract: Techniques for toxic workload mapping are provided. A state of a target workload is recorded along with a configuration and state of an environment that is processing the workload. Micro valuations are taken, via statistical sampling, for metrics associated with the workload and for different combinations of resources within the environment. The sampling taken at micro second intervals. The valuations are aggregated to form an index representing a toxic mapping for the workload within the environment. The toxic mapping is mined, in view of policy, to provide conditions and scenarios that may be deemed problematic within the workload and/or environment.

Abstract: Techniques for toxic workload mapping are provided. A state of a target workload is recorded along with a configuration and state of an environment that is processing the workload. Micro valuations are taken, via statistical sampling, for metrics associated with the workload and for different combinations of resources within the environment. The sampling taken at micro second intervals. The valuations are aggregated to form an index representing a toxic mapping for the workload within the environment. The toxic mapping is mined, in view of policy, to provide conditions and scenarios that may be deemed problematic within the workload and/or environment.

Abstract: Techniques for toxic workload mapping are provided. A state of a target workload is recorded along with a configuration and state of an environment that is processing the workload. Micro valuations are taken, via statistical sampling, for metrics associated with the workload and for different combinations of resources within the environment. The sampling taken at micro second intervals. The valuations are aggregated to form an index representing a toxic mapping for the workload within the environment. The toxic mapping is mined, in view of policy, to provide conditions and scenarios that may be deemed problematic within the workload and/or environment.

Abstract: An apparatus, system and method are disclosed for forcing the fuel control module of a converted bi-fuel vehicle to reference a substitute fuel control map. The apparatus comprises a box affixed inside the cabin of a bi-fuel vehicle to the OBD port which sends false signals to the fuel control module indicating that the bi-fuel vehicle is running on a gasoline, ethanol, or a fuel other than the fuel powering the internal combustion engine. In some embodiments, the box in communication with the fuel control module feeds false sensor readings to the fuel control module to optimize fuel control in the vehicle engine. In other embodiments, the box overrides OEM sensor relay information, or forces the fuel control module to reference aftermarket sensors installed in place of, or in addition to, the OEM sensors.

Abstract: A method, apparatus, and system to measure, record, and control exhaust products from an internal combustion engine (ICE) are disclosed. Measurements of the exhaust products of an ICE are recorded and made available. The measurements provide the inputs for one of a variety of different algorithms to determine the proper flow rates for a first and a for second fuel being feed to an ICE to achieve one or more goals relating to at least one of the measured exhaust products. These flow rates are then enforced to control the exhaust products.