Abstract: Intelligent logging of microservice failures is provided. It is predicted that failure of a microservice in a microservice chain will occur during a predicted high-risk failure period for a predicted failure type while performing a transaction corresponding to an application. A detailed logging level is determined for the microservice to record sufficient information to identify a root cause of the failure of the microservice for the predicted failure type. The microservice is directed to increase a current logging level of the microservice to the detailed logging level during the predicted high-risk failure period to record sufficient information to identify the root cause of the failure of the microservice.

Abstract: The present invention provides a system to automatically schedule at least one workflow and deploy at least one executable across one or more target remote agent-less client machines via a secured connection. The system may include a workflow generator and a script runner. The workflow generator is configured to receive at least one script that has to be executed across one or more target remote agent-less client machine and parameters as input from user, generate at least one optimized decision support workflow based on the input parameters from the user, and map the generated at least one optimized decision support workflow to one or more target remote agent-less client machine. The script runner retrieves the at least one optimized decision support workflow that is mapped with one or more target remote agent-less client machine and executes the at least one script in one or more target remote agent-less client machine.

Abstract: The present invention relates to a computer-implemented method, system and computer readable medium for providing a scalable bio-informatics sequence search on cloud. The method comprises the steps of partitioning a genome data into a plurality of datasets and storing the plurality of data sets in a database. Receiving at least one sequence search request input and searching for a genome sequence in the database corresponding to the search request input and scaling of the sequence search based on the sequence search request input.

Abstract: The present invention relates to a computer-implemented method, system and computer readable medium for providing a scalable bio-informatics sequence search on cloud. The method comprises the steps of partitioning a genome data into a plurality of datasets and storing the plurality of data sets in a database. Receiving at least one sequence search request input and searching for a genome sequence in the database corresponding to the search request input and scaling of the sequence search based on the sequence search request input.

Abstract: The present invention provides a system to automatically schedule at least one workflow and deploy at least one executable across one or more target remote agent-less client machines via a secured connection. The system may include a workflow generator and a script runner. The workflow generator is configured to receive at least one script that has to be executed across one or more target remote agent-less client machine and parameters as input from user, generate at least one optimized decision support workflow based on the input parameters from the user, and map the generated at least one optimized decision support workflow to one or more target remote agent-less client machine. The script runner retrieves the at least one optimized decision support workflow that is mapped with one or more target remote agent-less client machine and executes the at least one script in one or more target remote agent-less client machine.

Abstract: A method for disseminating Early Warning Messages (EWMs) to subscriber terminals by an Early Warning Unit (EWU) in a mobile communication network is provided. The method comprises identifying at least one base station in a first region and sending a trigger signal to the identified base station for initiating the dissemination of the EWMs. The method further comprises sending an invitation request to one or more peer base stations in a second region and receiving subscriber details from one or more base stations. The method furthermore comprises selectively disseminating the EWMs to the one or more subscriber terminals based on location details of the subscriber terminals using a grid computing architecture. The grid computing architecture facilitates parallel dissemination of the EWMs to the one or more subscriber terminals by splitting the subscriber details into one or more data fragments.

Abstract: A method for disseminating Early Warning Messages (EWMs) to subscriber terminals by an Early Warning Unit (EWU) in a mobile communication network is provided. The method comprises identifying at least one base station in a first region and sending a trigger signal to the identified base station for initiating the dissemination of the EWMs. The method further comprises sending an invitation request to one or more peer base stations in a second region and receiving subscriber details from one or more base stations. The method furthermore comprises selectively disseminating the EWMs to the one or more subscriber terminals based on location details of the subscriber terminals using a grid computing architecture. The grid computing architecture facilitates parallel dissemination of the EWMs to the one or more subscriber terminals by splitting the subscriber details into one or more data fragments.