
基本信息:
- 专利标题: PREDICTIVE ADJUSTMENT OF RESOURCE REFRESH IN A CONTENT DELIVERY NETWORK
- 专利标题(中):在内容交付网络中进行资源调整的预测性调整
- 申请号:US14452769 申请日:2014-08-06
- 公开(公告)号:US20160042278A1 公开(公告)日:2016-02-11
- 发明人: Aaron K. Baughman , Brian W. Jensen , Mauro Marzorati
- 申请人: International Business Machines Corporation
- 主分类号: G06N5/04
- IPC分类号: G06N5/04 ; H04L29/06 ; G06N7/00
摘要:
A set of features is identified in a resource provided from a Content Delivery Network (CDN), a feature causing a first information available in the resource at a first time to change to a second information in the resource at a second time responsive to an event. A set of weights is determined corresponding to the set of features. A weight is related to a corresponding feature in the set of features. Using the set of weights and the set of features to compute an entropy comprising a probability that the resource is going to change. Using the entropy, a stale probability is computed, comprising a probability that an outdated version of the resource is going to be served from a cache in the CDN at the second time. A refresh information is adjusted responsive to the stale probability exceeding a threshold probability.
摘要(中):
在从内容传送网络(CDN)提供的资源中识别一组特征,该功能使得资源中可用的第一信息在第一时间响应于事件在第二时间变为资源中的第二信息 。 根据特征集合确定一组权重。 权重与特征集中的对应特征相关。 使用权重集和特征集来计算包含资源将要改变的概率的熵。 使用熵,计算陈旧的概率,其包括将在第二时间从CDN中的高速缓存提供资源的过时版本的概率。 响应于超过阈值概率的陈旧概率来调整刷新信息。
IPC结构图谱:
G | 物理 |
--G06 | 计算;推算;计数 |
----G06N | 基于特定计算模型的计算机系统 |
------G06N5/00 | 利用基于知识的模式的计算机系统 |
--------G06N5/04 | .推理方法或设备 |