System and Method for Providing a Capacity Reservation System for a Virtual or Cloud Computing Environment
A system and method are provided for determining workload reservations in a virtual or cloud computing environment, the method comprising: determining a workload to be booked and a time for which the booking is to be placed in the environment; modeling a future demand in the environment; modeling a future supply of hosts in the environment based on data obtained from the environment; executing a placement analysis using a future demand model, a future supply model, and at least one policy indicative of parameters of the placement; and using a result of the placement analysis in completing or rejecting a booking for the workload.
1 . A method for determining workload reservations in a virtual or cloud environment, the method comprising:
determining a workload to be booked and a time for the booking;
modeling a future demand in the environment;
modeling a future supply of hosts in the environment based on at least one of data obtained from the environment and planned changes to the environment;
executing a placement analysis using a future demand model, a future supply model, and at least one policy; and
using a result of the placement analysis in completing or rejecting a booking for the workload.
2 . The method of claim 1 , wherein the future supply comprises a consideration of at least one previously requested but not yet placed booking.
3 . The method of claim 1 , further comprising generating an efficiency index indicative of whether the workload can be placed without saturating the environment.
4 . The method of claim 1 , further comprising generating a placement plan to be used in generating the booking.
5 . The method of claim 1 , further comprising repeating the method for a plurality of future dates.
6 . The method of claim 1 , wherein the future demand model is generated based on at least one of pending workloads, existing workloads, and upcoming decommissioning of resources.
7 . The method of claim 1 , wherein the at least one policy is specific to the environment in which the workload is being placed.
8 . The method of claim 1 , further comprising reserving capacity for the workload upon approving the booking.
9 . The method of claim 1 , further comprising generating a future capacity warning after determining that the workload will not fit but that a booking confirmation is not required.
10 . The method of claim 4 , further comprising providing an output requesting approval for the placement plan.
11 . The method of claim 1 , wherein the future demand is determined from at least one demand model generated using any one or more of the following processes: on-boarding, release management, and self-service.
12 . The method of claim 1 , wherein the environment is a public cloud environment.
13 . The method of claim 1 , wherein the environment is a private cloud environment.
14 . A computer readable storage medium comprising computer executable instructions for determining workload reservations in a virtual or cloud environment, the computer executable instructions comprising instructions for:
determining a workload to be booked and a time for the booking;
modeling a future demand in the environment;
modeling a future supply of hosts in the environment based on at least one of data obtained from the environment and planned changes to the environment;
executing a placement analysis using a future demand model, a future supply model, and at least one policy; and
using a result of the placement analysis in completing or rejecting a booking for the workload.
15 . The computer readable storage medium of claim 14 , wherein the future supply comprises a consideration of at least one previously requested but not yet placed booking.
16 . The computer readable storage medium of claim 14 , further comprising instructions for generating an efficiency index indicative of whether the workload can be placed without saturating the environment.
17 . The computer readable storage medium of claim 14 , further comprising instructions for generating a placement plan to be used in generating the booking.
18 . The computer readable storage medium of claim 14 , further comprising instructions for repeating the instructions for a plurality of future dates.
19 . The computer readable storage medium of claim 14 , wherein the future demand model is generated based on at least one of pending workloads, existing workloads, and upcoming decommissioning of resources.
20 . A system for determining workload reservations in a virtual or cloud environment, the system comprising a processor and memory, the memory comprising computer executable instructions for operating the system by:
determining a workload to be booked and a time for the booking;
modeling a future demand in the environment;
modeling a future supply of hosts in the environment based on at least one of data obtained from the environment and planned changes to the environment;
executing a placement analysis using a future demand model, a future supply model, and at least one policy; and
using a result of the placement analysis in completing or rejecting a booking for the workload.