Multi-tenant disaster recovery management system and method for intelligently and optimally allocating computing resources between multiple subscribers

A method for intelligently and optimally allocating computing resources between multiple subscribers for requesting failovers, the method comprising the steps of:

• (a) requesting a failover of an application at the cloud based Disaster Recovery Site by the subscriber;
• (b) prompting the DR Manager Module to fetch the hardware (HW) requirement/parameter for said application;
• (c) prompting the DR Manager Module to convert the hardware (HW) requirement/parameter into DR Points (DRP);
• (d) prompting the DR Manager Module to check the availability of the DR Points in a dedicated pool of resources at the cloud based Disaster Recovery Site;
• (e) prompting the DR Manger Module to select the available dedicated pool of resources for performing the failover;
• (f) prompting the DR Manager Module to convert said DR Points to hardware (HW) requirements/parameters;
• (g) prompting the DR Manager to load image at said cloud based Disaster Recovery Site and releasing said dedicated pool of resources for performing failovers;
• (h) prompting the Usage Monitor Module to store information of failovers for billing purposes.

A method for intelligently and optimally allocating computing resources between multiple subscribers for scheduling drills, the method comprising the steps of:

• (a) prompting the DR Manager Module to fetch the value of DR Points (DRP) for the applications at the Production Site;
• (b) prompting the DR Manager Module to fetch the hardware (HW) requirement/parameter for said application;
• (c) prompting the DR Manager Module to read drill capacity for said application;
• (d) prompting the DR Manager Module to fetch the expected or desired Recovery Time Objective (Rt) for said application;
• (e) prompting the DR Manager Module to fetch the expected drill duration (Dt);
• (f) prompting the DR Manager Module to fetch the desired windows/slot between two time limits i.e. starting time T1 and finishing time T2;
• (g) prompting the DR Manager Module to fetch the resource crunch strategy for said application;
• (h) prompting the DR Manager Module to calculate the best average of actual resource usage from previous drills;
• (i) prompting the DR Manager Module to convert said actual resource usage to DR Points;
• (j) prompting the DR Manager Module to read configuration for previous scheduled drills and identify the minimum value of DR Points available at any time between T1 and T1+Rt+Dt;
• (k) prompting the Drill Scheduler to check if enough DR Points for actual resource usage are available for the time starting from T1 till expected drill finishing time;
• (l) prompting the Drill Scheduler to block the DR Points for execution of drill from T1 till T1+Rt+Dt if enough DR Points are available from T1 till expected drill finishing time.
• (m) prompting the Usage Monitor Module to store information of failovers for billing purposes.

A method for intelligently and optimally allocating computing resources between multiple subscribers for executing drills, the method comprising the steps of:

• (a) prompting the Drill Executer Module to fetch the expected available DR Points for an application;
• (b) prompting the Drill Executor Module to fetch the current available DR Points for said application;
• (c) prompting the Drill Executor Module to check if said DR points obtained at step (a) is greater than or equal to the expected available DR points at step (b);
• (d) prompting the Drill Executor Module to proceed with the drill if enough DR points are available at the Primary set of resources.
• (e) prompting the Drill Executor Module to convert said DR Points to hardware (HW) requirements/parameters;
• (f) prompting the Drill Executor Module to load image at said cloud based Disaster Recovery Site and release said Primary set of resources for performing drills;
• (g) prompting the Usage Monitor Module to store information of drill execution for billing purposes.