Abstract:
This technology relates to a device and method for determining co-locatability of a plurality of virtual machines on one or more physical infrastructures. The plurality of virtual machines hosts a plurality of workloads. This involves identifying workloads which have high variability from the time series data and determining the workload capacity threshold of the identified workloads. Thereafter, the candidate workloads are selected among the identified workloads to colocate on a virtual machine based on the workload variability. After that, the total capacity required by each candidate workload pair to meet the service requirement is determined based on the workload capacity threshold. Then, an optimal sharing point of each workload of the pair with respect to the other workload of the pair is identified. Further, percentage compatibility of each workload pair is determined and finally, the candidate workloads are colocated based on the optimal sharing point and percentage compatibility.
Abstract:
A system and method for evaluating performance of a software application. The present invention includes analyzing by one or more computing devices a plurality of program code lines of the software application stored in one or more computer databases. Further, one or more equivalent program regions within the plurality of program code lines may be identified. One or more markers in the identified one or more equivalent program regions may be inserted and stored in the one or more computer databases. Further, the plurality of program code lines may be compiled and assembled respectively to generate an executable code. The executable code may include a plurality of instructions. Further, performance metrics of the software application may be measured by manipulating the plurality of instructions based on the one or more equivalent program regions identified by the inserted one or more markers and executing the executable code.
Abstract:
A method and system for monitoring health of virtual environment includes receiving input data for one or more virtual machines in the virtual environment. A number of entitled CPU cycles for each of the virtual machines based on the input data are determined. A number of actual CPU cycles obtained by each of the virtual machines based on the input data are computed. The number of entitled CPU cycles is compared with the number of actual CPU cycles for each of the virtual machines. A health status of the virtual machines based on the comparison is displayed.
Abstract:
This technology relates to a device and method for determining co-locatability of a plurality of virtual machines on one or more physical infrastructures. The plurality of virtual machines hosts a plurality of workloads. This involves identifying workloads which have high variability from the time series data and determining the workload capacity threshold of the identified workloads. Thereafter, the candidate workloads are selected among the identified workloads to colocate on a virtual machine based on the workload variability. After that, the total capacity required by each candidate workload pair to meet the service requirement is determined based on the workload capacity threshold. Then, an optimal sharing point of each workload of the pair with respect to the other workload of the pair is identified. Further, percentage compatibility of each workload pair is determined and finally, the candidate workloads are colocated based on the optimal sharing point and percentage compatibility.
Abstract:
A method and system for monitoring health of virtual environment includes receiving input data for one or more virtual machines in the virtual environment. A number of entitled CPU cycles for each of the virtual machines based on the input data are determined. A number of actual CPU cycles obtained by each of the virtual machines based on the input data are computed. The number of entitled CPU cycles is compared with the number of actual CPU cycles for each of the virtual machines. A health status of the virtual machines based on the comparison is displayed.
Abstract:
A system and method for evaluating performance of a software application. The present invention includes analyzing by one or more computing devices a plurality of program code lines of the software application stored in one or more computer databases. Further, one or more equivalent program regions within the plurality of program code lines may be identified. One or more markers in the identified one or more equivalent program regions may be inserted and stored in the one or more computer databases. Further, the plurality of program code lines may be compiled and assembled respectively to generate an executable code. The executable code may include a plurality of instructions. Further, performance metrics of the software application may be measured by manipulating the plurality of instructions based on the one or more equivalent program regions identified by the inserted one or more markers and executing the executable code.
Abstract:
A method system and computer program product are disclosed for identifying silent failures in an application, comprising of generating a finite state machine (FSM) model of the application based on an input data, extracting state specific invariants relevant to the generated FSM, performing a localized invariant violation check at each state of the generated FSM and upon detection of an invariant violation at any state of the FSM, logging the violation as a silent failure.
Abstract:
A method system and computer program product are disclosed for identifying silent failures in an application, comprising of generating a finite state machine (FSM) model of the application based on an input data, extracting state specific invariants relevant to the generated FSM, performing a localized invariant violation check at each state of the generated FSM and upon detection of an invariant violation at any state of the FSM, logging the violation as a silent failure.