Resources management in internet of robotic things (iort) environments
AssigneeTata Consultancy Services Limited
InventorsSwagata BISWAS, Swarnava DEY, Arijit MUKHERJEE, Arpan PAL
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AssigneeTata Consultancy Services Limited
InventorsSwagata BISWAS, Swarnava DEY, Arijit MUKHERJEE, Arpan PAL
Estimating the term…
Cloud robotics infrastructures generally support heterogeneous services that are offered by heterogeneous resources whose reliability or availability also varies widely with varying lifetime. For such systems, defining a static redundancy configuration for all services is difficult and often biased. Also, it is not feasible to define a redundancy configuration separately for each unique service. Therefore, in the present disclosure a trade-off between the two is ensured by providing At-most M-Modular Flexible Redundancy Model wherein an exact degree of redundancy is defined and is given to each service in a heterogeneous service environment and monitoring each task and subtask status to ensure that each subtask gets accomplished thereby enabling the tuning of the tradeoff between redundancy and cost and determining efficiency of the system by estimating number of resources utilized to complete specific subtask and comparing the resources utilization with the exact degree of redundancy defined.
A processor implemented method, comprising:
A resource management system (100), comprising:
One or more non-transitory machine readable information storage mediums comprising one or more instructions which when executed by one or more hardware processors cause:
Dependencies are inferred from the claim text.