发明名称 |
Resource planning for computing |
摘要 |
Disclosed are various embodiments for the planning of resources used in computing. Usage statistics regarding one or more virtual machine instances executing in a networked plurality of computing devices are obtained. The usage statistics are grouped, for example, based on one or more customer usage classifications, thereby producing one or more usage groups. A corresponding demand forecast is generated for each of the usage groups. A projected demand for one or more physical components of the networked computing devices is calculated according to the demand forecasts. |
申请公布号 |
US8880676(B1) |
申请公布日期 |
2014.11.04 |
申请号 |
US201314080149 |
申请日期 |
2013.11.14 |
申请人 |
Amazon Technologies, Inc. |
发明人 |
Li Xiao Yu;Gupta Diwakar;Katta Akshay Kumar Reddy;Krasnovsky Sergey;Prasad Kalyanaraman |
分类号 |
G06F15/173;G06Q30/02 |
主分类号 |
G06F15/173 |
代理机构 |
Thomas | Horstemeyer, LLP |
代理人 |
Thomas | Horstemeyer, LLP |
主权项 |
1. A non-transitory computer-readable medium embodying a program executable in at least one computing device, wherein when executed, the program causes the at least one computing device to at least:
receive usage statistics for a plurality of virtual machine instances executing in a networked plurality of computing devices over a time period, individual ones of the plurality of virtual machine instances being associated with a respective customer, the respective customer being capable of terminating existing customer-associated ones of the plurality of virtual machine instances and launching new customer-associated ones of the plurality of virtual machine instances; produce a plurality of usage groups by grouping the usage statistics according to at least one of: a computing device type, a virtual machine instance type, an operating system type, or a customer usage classification; generate corresponding demand forecasts for individual ones of the plurality of usage groups; and calculate a projected demand for at least one physical component of the networked plurality of computing devices according to the corresponding demand forecasts. |
地址 |
Seattle WA US |