A method, system and computer readable medium for running a legacy application on a non-legacy device. Operating parameters of the non-legacy device when running the legacy application are set based on one or more pre-determined heuristics for adjustment of operating parameters of the newer system when running the legacy application on the non-legacy device from one or more performance metrics and other performance information.

A method of identifying a cause of an anomalous feature measured from system circuitry on an integrated circuit (IC) chip, the IC chip comprising the system circuitry and monitoring circuitry for monitoring the system circuitry by measuring features of the system circuitry in each window of a series of windows, the method comprising: (i) from a set of windows prior to the anomalous window comprising the anomalous feature, identifying a candidate window set in which to search for the cause of the anomalous feature; (ii) for each of the measured features of the system circuitry: (a) calculating a first feature probability distribution of that measured feature for the candidate window set; (b) calculating a second feature probability distribution of that measured feature for window(s) not in the candidate window set; (c) comparing the first and second feature probability distributions; and (d) identifying that measured feature in the timeframe of the candidate window set as a cause of the anomalous feature if the first and second feature probability distributions differ by more than a threshold value; (iii) iterating steps (i) and (ii) for further candidate window sets from the set of windows prior to the anomalous window; and (iv) outputting a signal indicating those measured feature(s) of step (ii)(d) identified as a cause of the anomalous feature.

Embodiments relate to a computer platform to support processing of informational logs and corresponding performance data to detect and mitigate occurrence of anomalous behavior. Metrics are extracted from the informational logs and correlated with performance data, and in an exemplary embodiment golden signal metrics. A window or block of the logs is classified as potential candidates or indicators of anomalous behavior, which in an embodiment is indicative of potential failure or service outage. A control signal is dynamically issued to an operatively coupled device associated with the window or block of logs. The control signal is configured to selectively control a state of a physical device or process controlled by software, with the control directed at mitigating or eliminating the effect(s) of the anomalous behavior.

A system-on-a-chip sharing a graphics processing unit supporting multi-master is provided. A system on chip (SoC) comprises a plurality of central processing units (CPUs) for executing at least one operating system, a graphics processing unit (GPU) that is connected to each of the plurality of CPUs via a bus interface and communicates with each of the plurality of CPUs, and at least one state monitoring device that is selectively connected to at least one CPU among the plurality of CPUs and transmits execution state information of at least one operating system executed in the connected CPU to the GPU. The GPU is shared by at least one operating system and controls a sharing operation by the at least one operating system based on the execution state information of the at least one operating system.

A control device for a vehicle-mounted apparatus, the control device includes: a second CPU state judging section provided to the first CPU, and configured to judge a state of the second CPU based on a state of the inter-CPU communication and a voltage value of the electric power supplied from the first electric power supply section, or the second reset signal; and a first CPU state judging section provided to the second CPU, and configured to judge a state of the first CPU based on the state of the inter-CPU communication and a voltage value of the electric power supplied from the second electric power supply section, or the first reset signal.

A method for starting a system-on-a-chip, SoC, without read only memory, ROM, comprises the steps of receiving, by a processor comprised by the SoC, a reset signal, monitoring, by a monitoring component comprised by the SoC, a connection between the processor and at least a non-volatile memory, both comprised by the SoC, upon occurrence of a first read access of the processor to the non-volatile memory via the connection checking, by the monitoring component, whether a data value returned in response to the first read access via the connection conforms to a pre-set value, and if the returned data value differs from the pre-set value, stopping, by the monitoring component, operation of the processor.

An example method of managing exclusive affinity for threads executing in a virtualized computing system includes: determining, by an exclusive affinity monitor executing in a hypervisor of the virtualized computing system, a set of threads eligible for exclusive affinity; determining, by the exclusive affinity monitor, for each thread in the set of threads, impact on performance of the threads for granting each thread exclusive affinity; and granting, for each thread of the set of threads having an impact on performance of the threads less than a threshold, exclusive affinity to respective physical central processing units (PCPUs) of the virtualized computing system.

Technology described herein is generally directed towards an efficient process to selectively boot (e.g., initialize, re-boot, re-initialize and/or the like) one or more nodes of a server node system based on contextual information that can be automatically acquired. In an embodiment, a system can comprise a processor, and a memory that stores executable instructions that, when executed by the processor, can facilitate performance of operations. The operations can comprise monitoring operational activity of a node of a software-defined object storage system. The operations can comprise, in response to occurrence of a negative activity event determined based on a result of the monitoring, determining whether a node reboot of the node is to be implemented. The operations can comprise, based on the operational activity analyzed, setting a reboot flag indicating that the node reboot is to comprise a reboot of less than all components of the node.

Application link scaling method, apparatus and system are provided. The method includes obtaining an application link, the application link being a path formed by at least two associated applications for a service scenario; determining information of target resources required by capacity scaling for all applications in the application link; allocating respective resources to the applications according to the information of the target resources; and generating instances for the applications to according the respective resources. From the perspective of services, the method performs capacity assessment for related applications on a link as a whole, and capacity scaling of the entire link, thus fully utilizing resources, and preventing the applications from being called by other applications which results in insufficient resources. This ensures the applications not to become the vulnerability of a system, ensures the stability of the system, avoids allocating excessive resources to the applications, and reduces a waste of resources.

Programmable devices, hierarchical parallel machines and methods for providing state information are described. In one such programmable device, programmable elements are provided. The programmable elements are configured to implement one or more finite state machines. The programmable elements are configured to receive an N-digit input and provide a M-digit output as a function of the N-digit input. The M-digit output includes state information from less than all of the programmable elements. Other programmable devices, hierarchical parallel machines and methods are also disclosed.