公开(公告)号：US20210056086A1

公开(公告)日：2021-02-25

申请号：US16990076

申请日：2020-08-11

Applicant: Intel Corporation

Inventor： Yicong Huang ,  Kingsum Chow

IPC: G06F16/21 ,  G06F16/11 ,  G06F16/90 ,  G06F16/172 ,  G06F16/28 ,  G06F16/951 ,  G06F16/2457 ,  G06F16/185 ,  G06F7/02 ,  G06F11/30 ,  G06F11/34

Abstract: A mechanism is described for facilitating dynamic data management for computing devices according to one embodiment. A method of embodiments, as described herein, includes tracking one or more factors relating to a plurality of data sets, evaluating the plurality of data sets based on the one or more factors. The evaluating may include speculating at least one of relevancy and accessibility of each of the plurality of data sets. The method may further include generating data scores, the data scores being associated with the plurality of data sets based on the evaluation of the plurality of data sets, performing a first comparison of the data scores of the plurality of data sets with a criteria score, and classifying each data set based on the first comparison. The classifying may include setting caching order for each data set of the plurality of data sets.

公开(公告)号：US09589024B2

公开(公告)日：2017-03-07

申请号：US14129962

申请日：2013-09-27

Applicant: INTEL CORPORATION

Inventor： Yicong Huang ,  Kingsum Chow

IPC: G06F17/30

CPC classification number: G06F17/30306 ,  G06F7/02 ,  G06F11/3037 ,  G06F11/3433 ,  G06F17/3007 ,  G06F17/30132 ,  G06F17/30221 ,  G06F17/3053 ,  G06F17/30598 ,  G06F17/30864 ,  G06F17/30943

Abstract: A mechanism is described for facilitating dynamic data management for computing devices according to one embodiment. A method of embodiments, as described herein, includes tracking one or more factors relating to a plurality of data sets, evaluating the plurality of data sets based on the one or more factors. The evaluating may include speculating at least one of relevancy and accessibility of each of the plurality of data sets. The method may further include generating data scores, the data scores being associated with the plurality of data sets based on the evaluation of the plurality of data sets, performing a first comparison of the data scores of the plurality of data sets with a criteria score, and classifying each data set based on the first comparison. The classifying may include setting caching order for each data set of the plurality of data sets.

Abstract translation: 描述了根据一个实施例的用于促进计算设备的动态数据管理的机制。 如本文所述的实施例的方法包括跟踪与多个数据集相关的一个或多个因素，基于一个或多个因素来评估多个数据集。 评估可以包括推测多个数据集中的每一个的相关性和可访问性中的至少一个。 该方法可以进一步包括基于多个数据集的评估来生成数据分数，数据分数与多个数据集相关联，执行多个数据集的数据分数与标准分数的第一比较， 并根据第一次比较对每个数据集进行分类。 分类可以包括为多个数据集的每个数据集设置缓存顺序。

公开(公告)号：US20150220528A1

公开(公告)日：2015-08-06

申请号：US14129962

申请日：2013-09-27

Applicant: Intel Corporation

Inventor： Yicong Huang ,  Kingsum Chow

IPC: G06F17/30

CPC classification number: G06F17/30306 ,  G06F7/02 ,  G06F11/3037 ,  G06F11/3433 ,  G06F17/3007 ,  G06F17/30132 ,  G06F17/30221 ,  G06F17/3053 ,  G06F17/30598 ,  G06F17/30864 ,  G06F17/30943

Abstract: A mechanism is described for facilitating dynamic data management for computing devices according to one embodiment. A method of embodiments, as described herein, includes tracking one or more factors relating to a plurality of data sets, evaluating the plurality of data sets based on the one or more factors. The evaluating may include speculating at least one of relevancy and accessibility of each of the plurality of data sets. The method may further include generating data scores, the data scores being associated with the plurality of data sets based on the evaluation of the plurality of data sets, performing a first comparison of the data scores of the plurality of data sets with a criteria score, and classifying each data set based on the first comparison. The classifying may include setting caching order for each data set of the plurality of data sets.

Abstract translation: 描述了根据一个实施例的用于促进计算设备的动态数据管理的机制。 如本文所述的实施例的方法包括跟踪与多个数据集相关的一个或多个因素，基于一个或多个因素来评估多个数据集。 评估可以包括推测多个数据集中的每一个的相关性和可访问性中的至少一个。 该方法可以进一步包括基于多个数据集的评估来生成数据分数，数据分数与多个数据集相关联，执行多个数据集的数据分数与标准分数的第一比较， 并根据第一次比较对每个数据集进行分类。 分类可以包括为多个数据集的每个数据集设置缓存顺序。

公开(公告)号：US10762065B2

公开(公告)日：2020-09-01

申请号：US15438624

申请日：2017-02-21

Applicant: INTEL CORPORATION

Inventor： Yicong Huang ,  Kingsum Chow

IPC: G06F16/21 ,  G06F16/11 ,  G06F16/90 ,  G06F16/172 ,  G06F16/28 ,  G06F16/951 ,  G06F16/2457 ,  G06F16/185 ,  G06F7/02 ,  G06F11/30 ,  G06F11/34

Abstract: A mechanism is described for facilitating dynamic data management for computing devices according to one embodiment. A method of embodiments, as described herein, includes tracking one or more factors relating to a plurality of data sets, evaluating the plurality of data sets based on the one or more factors. The evaluating may include speculating at least one of relevancy and accessibility of each of the plurality of data sets. The method may further include generating data scores, the data scores being associated with the plurality of data sets based on the evaluation of the plurality of data sets, performing a first comparison of the data scores of the plurality of data sets with a criteria score, and classifying each data set based on the first comparison. The classifying may include setting caching order for each data set of the plurality of data sets.

公开(公告)号：US20170169064A1

公开(公告)日：2017-06-15

申请号：US15438624

申请日：2017-02-21

Applicant: INTEL CORPORATION

Inventor： Yicong Huang ,  Kingsum Chow

IPC: G06F17/30 ,  G06F11/30 ,  G06F11/34 ,  G06F7/02

Abstract: A mechanism is described for facilitating dynamic data management for computing devices according to one embodiment. A method of embodiments, as described herein, includes tracking one or more factors relating to a plurality of data sets, evaluating the plurality of data sets based on the one or more factors. The evaluating may include speculating at least one of relevancy and accessibility of each of the plurality of data sets. The method may further include generating data scores, the data scores being associated with the plurality of data sets based on the evaluation of the plurality of data sets, performing a first comparison of the data scores of the plurality of data sets with a criteria score, and classifying each data set based on the first comparison. The classifying may include setting caching order for each data set of the plurality of data sets.