Predictive computing resource allocation for distributed environments
US-2016301624-A1 · Oct 13, 2016 · US
Workload prediction for network-based computing
US9509632B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9509632-B2 |
| Application number | US-201213876558-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 25, 2012 |
| Priority date | Apr 25, 2012 |
| Publication date | Nov 29, 2016 |
| Grant date | Nov 29, 2016 |
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Abstract
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Technologies are generally described for systems and methods effective to efficiently schedule a workload in a cloud computing system. In one example, calendar data is collected from respective sets of devices associated with respective sets of subscribers and a workload to be performed at a specific time or range of time is predicted based in part on an analysis of calendar data. Moreover, timing data associated with a set of predicted requests is determined based on the analysis and at least a portion of cloud computing resources that service the set of predicted requests are dynamically scheduled based on timing data.
First claim
Opening claim text (preview).
What is claimed is: 1. A method, comprising: receiving, by a system comprising a processor, first calendar data transmitted from respective first sets of devices, wherein the first calendar data comprises respective first meeting data associated with first sets of subscribers of the first sets of devices; prior to receiving a first set of requests from the first sets of devices, determining a workload to be performed at a specific time or range of time based in part on an analys…
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Electricity · mapped topic
Physics · mapped topic
Electricity · mapped topic
Electricity · mapped topic
- H04L47/823Primary
Electricity · mapped topic
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Frequently asked questions
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- What does patent US9509632B2 cover?
- Technologies are generally described for systems and methods effective to efficiently schedule a workload in a cloud computing system. In one example, calendar data is collected from respective sets of devices associated with respective sets of subscribers and a workload to be performed at a specific time or range of time is predicted based in part on an analysis of calendar data. Moreover, tim…
- Who is the assignee on this patent?
- Shen Zhen, Song Xuefeng, Empire Technology Dev Llc
- What technology area does this patent fall under?
- Primary CPC classification H04L47/823. Mapped technology areas include Electricity.
- When was this patent published?
- Publication date Tue Nov 29 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).