Infosys Limited

Infosys Technologies Limited

Mudit Kaushik

Shyam Kumar Doddavula

Akansha Jain

Santonu Sarkar

Anirban Ghosh

Madhavi Rani

Harsh Vachhani

Joel Mathew

Arun Vishwanathan

S/shri Shyam Kumar Doddavula

This technology relates to a device, method, and non-transitory computer readable medium for allocating one or more resources optimally in a composite cloud environment. This technology involves configuring organization and service level quota values, describing service composition, service unit, service level agreement, defining allocation model and resource allocation optimization algorithm. Based on these predefined rules the infrastructure, software and manual resources are assigned, future allocation is forecasted and resources are allocated to complete the service requests received from the users.

Systems and methods for allocating one or more resources in a composite cloud environment

A computer-implemented method, apparatus, and non-transitory computer-readable medium for determining optimal combinations of elements having multiple dimensions, including removing all multi-dimensional elements from a combination matrix which have a dimension corresponding to a highest classification in a plurality of classifications, iteratively combining one or more multi-dimensional elements from a first end of the combination matrix and one or more multi-dimensional elements from a second end of the combination matrix to generate one or more combined multi-dimensional elements, incrementing a count of packed combinations when a combined multi-dimensional element in the one or more combined multi-dimensional elements has a dimension corresponding to the highest classification in the plurality of classifications, and removing a combined multi-dimensional element in the one or more combined multi-dimensional elements from the combination matrix when the combined multi-dimensional element has a dimension corresponding to the highest classification in the plurality of classifications.

System and method for determining optimal combinations of computer servers

A method, non-transitory computer readable medium, and resource management computing device comprises identifying one or more workload bursts in a production environment. One or more additional resources in a non-production environment required to manage the one or more workload burst in a production environment is determined by comparing an environment resource consumption value against a permissible maximum value, wherein the environment resource consumption value is a value indicating usage of each of the one or more resources. One or more additional resources are identified in the non-production environment. The identified one or more additional resources are provided to handle the one or more workload bursts.

Methods for managing work load bursts and devices thereof

A method and system for determining availability of a software application using Composite Hidden Markov Model (CHMM). The software application is divided into a plurality of layers which are further divided into sub-components. The configurations and dependencies of the sub-components are identified and also the state of the sub-components is determined. The state of the sub-components is represented in CHMM using state space diagram. The failure rate and recovery time of the sub-components is computed using the state space diagram and the respective transition tables are derived from the CHMM to determine the availability of the layers. The availability of the layers is combined to determine the availability of the software application.

Method for determining availability of a software application using composite hidden Markov model

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.

Method, system, and computer-readable medium for providing a scalable bio-informatics sequence search on cloud

System and computer-implemented method for determining optimal combinations of elements having multiple dimensions, including determining the optimal number of destination servers for server consolidation, wherein existing servers are evaluated across multiple dimensions.

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Subhash Bazaar Mawana, India

Mudit Kaushik