专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明申请

US20080222218A1 RISK-MODULATED PROACTIVE DATA MIGRATION FOR MAXIMIZING UTILITY IN STORAGE SYSTEMS 失效
公开(公告)号：US20080222218A1
公开(公告)日：2008-09-11
申请号：US11681971
申请日：2007-03-05
申请人： Elizabeth S. Richards , Sandeep M. Uttamchandani , Li Yin
发明人： Elizabeth S. Richards , Sandeep M. Uttamchandani , Li Yin
IPC分类号： G06F17/30
CPC分类号： G06F3/0653 , G06F3/0605 , G06F3/0647 , G06F3/0683 , Y10S707/99953 , Y10S707/99955
摘要： The embodiments of the invention provide a method, computer program product, etc. for risk-modulated proactive data migration for maximizing utility. More specifically, a method of planning data migration for maximizing utility of a storage infrastructure that is running and actively serving at least one application includes selecting a plurality of potential data items for migration and selecting a plurality of potential migration destinations to which the potential data items can be moved. Moreover, the method selects a plurality of potential migration speeds at which the potential data items can be moved and selects a plurality of potential migration times at which the potential data items can be moved to the potential data migration destinations. The selecting of the plurality of potential migration speeds selects a migration speed below a threshold speed, wherein the threshold speed defines a maximum system utility loss permitted.

2. 发明申请

US20080195369A1 DIAGNOSTIC SYSTEM AND METHOD 有权
标题翻译：诊断系统及方法
公开(公告)号：US20080195369A1
公开(公告)日：2008-08-14
申请号：US11674198
申请日：2007-02-13
申请人： Linda M. Duyanovich , Kristal T. Pollack , Elizabeth S. Richards , Sandeep M. Uttamchandani
发明人： Linda M. Duyanovich , Kristal T. Pollack , Elizabeth S. Richards , Sandeep M. Uttamchandani
IPC分类号： G06F9/455 , G06F17/18 , G06F15/00
CPC分类号： G06F11/36 , G06F11/0709 , G06F11/079 , G06F11/3452 , G06F11/3495 , G06F2201/86
摘要： Disclosed are system and method embodiments for determining the root-causes of a performance objective violation, such as an end-to-end service level objection (SLO) violation, in a large-scale system with multi-tiered applications. This determination is made using a hybrid of component-level snapshots of the state of the system during a period in which an abnormal event occurred (i.e., black box mapping) and of known events and their causes (i.e., white-box mapping). Specifically, in response to a query about a violation (e.g., why did the response time for application a1 increase from r1 to r2), a processor will access and correlate the black-box and white-box mappings to determine a short-list of probable causes for the violation.
摘要翻译：公开了用于在具有多层应用的大规模系统中确定诸如端到端服务级别异议（SLO）违反的性能目标违规的根本原因的系统和方法实施例。在异常事件发生的时段（即黑框映射）以及已知事件及其原因（即，白盒映射）中，使用系统状态的组件级快照的混合来进行该确定。具体来说，响应于关于违规的查询（例如，为什么应用的响应时间1从r 1到r 2增加），处理器将访问并关联黑盒和白盒映射以确定短 - 违规行为的可能原因清单。

3. 发明授权

US08655623B2 Diagnostic system and method 有权
标题翻译：诊断系统和方法
公开(公告)号：US08655623B2
公开(公告)日：2014-02-18
申请号：US11674198
申请日：2007-02-13
申请人： Linda M. Duyanovich , Kristal T. Pollack , Elizabeth S. Richards , Sandeep M. Uttamchandani
发明人： Linda M. Duyanovich , Kristal T. Pollack , Elizabeth S. Richards , Sandeep M. Uttamchandani
IPC分类号： G21C17/003
CPC分类号： G06F11/36 , G06F11/0709 , G06F11/079 , G06F11/3452 , G06F11/3495 , G06F2201/86
摘要： Disclosed are system and method embodiments for determining the root-causes of a performance objective violation, such as an end-to-end service level objection (SLO) violation, in a large-scale system with multi-tiered applications. This determination is made using a hybrid of component-level snapshots of the state of the system during a period in which an abnormal event occurred (i.e., black box mapping) and of known events and their causes (i.e., white-box mapping). Specifically, in response to a query about a violation (e.g., why did the response time for application a1 increase from r1 to r2), a processor will access and correlate the black-box and white-box mappings to determine a short-list of probable causes for the violation.
摘要翻译：公开了用于在具有多层应用的大规模系统中确定诸如端到端服务级别异议（SLO）违反的性能目标违规的根本原因的系统和方法实施例。在异常事件发生的时段（即黑框映射）以及已知事件及其原因（即，白盒映射）中，使用系统状态的组件级快照的混合来进行该确定。具体来说，响应于关于违规的查询（例如，为什么应用程序a1的响应时间从r1增加到r2），处理器将访问并关联黑盒和白盒映射，以确定一个短列表违规的可能原因。

4. 发明授权

US07552152B2 Risk-modulated proactive data migration for maximizing utility in storage systems 失效
标题翻译：风险调控的主动数据迁移，以最大限度地提高存储系统的效用
公开(公告)号：US07552152B2
公开(公告)日：2009-06-23
申请号：US11681971
申请日：2007-03-05
申请人： Elizabeth S. Richards , Sandeep M. Uttamchandani , Li Yin
发明人： Elizabeth S. Richards , Sandeep M. Uttamchandani , Li Yin
IPC分类号： G06F12/00
CPC分类号： G06F3/0653 , G06F3/0605 , G06F3/0647 , G06F3/0683 , Y10S707/99953 , Y10S707/99955
摘要： The embodiments of the invention provide a method, computer program product, etc. for risk-modulated proactive data migration for maximizing utility. More specifically, a method of planning data migration for maximizing utility of a storage infrastructure that is running and actively serving at least one application includes selecting a plurality of potential data items for migration and selecting a plurality of potential migration destinations to which the potential data items can be moved. Moreover, the method selects a plurality of potential migration speeds at which the potential data items can be moved and selects a plurality of potential migration times at which the potential data items can be moved to the potential data migration destinations. The selecting of the plurality of potential migration speeds selects a migration speed below a threshold speed, wherein the threshold speed defines a maximum system utility loss permitted.
摘要翻译：本发明的实施例提供了一种用于风险调节的主动数据迁移的方法，计算机程序产品等，以最大化效用。更具体地说，一种规划数据迁移以最大化正在运行并主动地为至少一个应用服务的存储基础设施的效用的方法包括：选择多个潜在数据项以进行迁移并选择多个潜在迁移目的地，潜在数据项可以移动此外，该方法选择可移动潜在数据项的多个潜在迁移速度，并选择潜在数据项能够移动到潜在数据迁移目的地的多个潜在迁移时间。选择多个潜在迁移速度选择低于阈值速度的迁移速度，其中阈值速度定义允许的最大系统效用损失。

5. 发明授权

US07552131B2 Autonomic retention classes 失效
标题翻译：自主保留类
公开(公告)号：US07552131B2
公开(公告)日：2009-06-23
申请号：US11681955
申请日：2007-03-05
申请人： Edward G. Chron , Joseph P. McCloskey , David A. Pease , Elizabeth S. Richards , Sandeep M. Uttamchandani
发明人： Edward G. Chron , Joseph P. McCloskey , David A. Pease , Elizabeth S. Richards , Sandeep M. Uttamchandani
IPC分类号： G06F17/00
CPC分类号： G06N99/005 , Y10S707/99937 , Y10S707/99942 , Y10S707/99943 , Y10S707/99944 , Y10S707/99945 , Y10S707/99953
摘要： The embodiments of the invention provide methods, computer program products, etc. for autonomic retention classes when retaining data within storage devices. More specifically, a method of determining whether to retain data within at least one storage device begins by storing data items in at least one storage device. Furthermore, the method maintains access statistics for each of the data items, an age of each of the data items, and an administrator-defined importance value of each of the data items. Following this, a retention value is calculated for each of the data items based on the access statistics for each of the data items, the age of each of the data items, and the administrator-defined importance value of each of the data items.
摘要翻译：本发明的实施例在将数据保存在存储设备内时提供用于自主保留类别的方法，计算机程序产品等。更具体地说，一种确定是否在至少一个存储设备内保留数据的方法开始于将数据项存储在至少一个存储设备中。此外，该方法维护每个数据项的访问统计，每个数据项的年龄以及每个数据项的管理员定义的重要性值。接下来，基于每个数据项的访问统计，每个数据项的年龄和每个数据项的管理员定义的重要性值，为每个数据项计算保留值。

6. 发明申请

US20080222644A1 RISK-MODULATED PROACTIVE DATA MIGRATION FOR MAXIMIZING UTILITY IN STORAGE SYSTEMS 有权
标题翻译：用于最大化存储系统中的实用程序的风险调整的主动数据迁移
公开(公告)号：US20080222644A1
公开(公告)日：2008-09-11
申请号：US12061764
申请日：2008-04-03
申请人： Elizabeth S. Richards , Sandeep M. Uttamchandani , Li Yin
发明人： Elizabeth S. Richards , Sandeep M. Uttamchandani , Li Yin
IPC分类号： G06F9/50 , G06F12/00
CPC分类号： G06F3/0653 , G06F3/0605 , G06F3/0647 , G06F3/0683 , Y10S707/99953 , Y10S707/99955
摘要： The embodiments of the invention provide a method, computer program product, etc. for risk-modulated proactive data migration for maximizing utility. More specifically, a method of planning data migration for maximizing utility of a storage infrastructure that is running and actively serving at least one application includes selecting a plurality of potential data items for migration and selecting a plurality of potential migration destinations to which the potential data items can be moved. Moreover, the method selects a plurality of potential migration speeds at which the potential data items can be moved and selects a plurality of potential migration times at which the potential data items can be moved to the potential data migration destinations. The selecting of the plurality of potential migration speeds selects a migration speed below a threshold speed, wherein the threshold speed defines a maximum system utility loss permitted.
摘要翻译：本发明的实施例提供了一种用于风险调节的主动数据迁移的方法，计算机程序产品等，以最大化效用。更具体地说，一种规划数据迁移以最大化正在运行并主动地为至少一个应用服务的存储基础设施的效用的方法包括：选择多个潜在数据项以进行迁移并选择多个潜在迁移目的地，潜在数据项可以移动此外，该方法选择可移动潜在数据项的多个潜在迁移速度，并选择潜在数据项能够移动到潜在数据迁移目的地的多个潜在迁移时间。选择多个潜在迁移速度选择低于阈值速度的迁移速度，其中阈值速度定义允许的最大系统效用损失。

7. 发明授权

US08260622B2 Compliant-based service level objectives 有权
标题翻译：符合规范的服务水平目标
公开(公告)号：US08260622B2
公开(公告)日：2012-09-04
申请号：US11674197
申请日：2007-02-13
申请人： Edward G. Chron , David A. Pease , Elizabeth S. Richards , Sandeep M. Uttamchandani
发明人： Edward G. Chron , David A. Pease , Elizabeth S. Richards , Sandeep M. Uttamchandani
IPC分类号： G06Q10/00 , G06F11/00
CPC分类号： G06Q10/06
摘要： The embodiments of the invention provide methods, computer program products, etc. for complaint-based service level objectives. More specifically, a method of deducing undefined service level objectives receives complaints regarding behavior of a system. The complaints could include a severity parameter, an entity parameter, a nature-of-complaint parameter, a timestamp parameter, and/or an identification parameter. Next, system details representing a current state of the system are recorded for each of the complaints. The method then automatically analyzes a history of the system details and the complaints to produce a historical compilation of the system details. The analyzing can include weighing each of the system details by a severity parameter value.
摘要翻译：本发明的实施例提供了用于基于投诉的服务水平目标的方法，计算机程序产品等。更具体地说，推导未定义的服务级别目标的方法接收关于系统行为的投诉。投诉可以包括严重性参数，实体参数，投诉性质参数，时间戳参数和/或识别参数。接下来，针对每个投诉记录表示系统的当前状态的系统细节。然后，该方法自动分析系统细节和投诉的历史，以生成系统细节的历史编辑。分析可以包括通过严重性参数值称量每个系统细节。

8. 发明授权

US07752239B2 Risk-modulated proactive data migration for maximizing utility in storage systems 有权
标题翻译：风险调控的主动数据迁移，以最大限度地提高存储系统的效用
公开(公告)号：US07752239B2
公开(公告)日：2010-07-06
申请号：US12061764
申请日：2008-04-03
申请人： Elizabeth S. Richards , Sandeep M. Uttamchandani , Li Yin
发明人： Elizabeth S. Richards , Sandeep M. Uttamchandani , Li Yin
IPC分类号： G06F7/00
CPC分类号： G06F3/0653 , G06F3/0605 , G06F3/0647 , G06F3/0683 , Y10S707/99953 , Y10S707/99955
摘要： The embodiments of the invention provide a method, computer program product, etc. for risk-modulated proactive data migration for maximizing utility. More specifically, a method of planning data migration for maximizing utility of a storage infrastructure that is running and actively serving at least one application includes selecting a plurality of potential data items for migration and selecting a plurality of potential migration destinations to which the potential data items can be moved. Moreover, the method selects a plurality of potential migration speeds at which the potential data items can be moved and selects a plurality of potential migration times at which the potential data items can be moved to the potential data migration destinations. The selecting of the plurality of potential migration speeds selects a migration speed below a threshold speed, wherein the threshold speed defines a maximum system utility loss permitted.
摘要翻译：本发明的实施例提供了一种用于风险调节的主动数据迁移的方法，计算机程序产品等，以最大化效用。更具体地说，一种规划数据迁移以最大化正在运行并主动地为至少一个应用服务的存储基础设施的效用的方法包括：选择多个潜在数据项以进行迁移并选择多个潜在迁移目的地，潜在数据项可以移动此外，该方法选择可移动潜在数据项的多个潜在迁移速度，并选择潜在数据项能够移动到潜在数据迁移目的地的多个潜在迁移时间。选择多个潜在迁移速度选择低于阈值速度的迁移速度，其中阈值速度定义允许的最大系统效用损失。

9. 发明申请

US20080222225A1 AUTONOMIC RETENTION CLASSES 失效
标题翻译：自动保持类
公开(公告)号：US20080222225A1
公开(公告)日：2008-09-11
申请号：US12059136
申请日：2008-03-31
申请人： Edward G. Chron , Joseph P. McCloskey , David A. Pease , Elizabeth S. Richards , Sandeep M. Uttamchandani
发明人： Edward G. Chron , Joseph P. McCloskey , David A. Pease , Elizabeth S. Richards , Sandeep M. Uttamchandani
IPC分类号： G06F12/00 , G06F17/30
CPC分类号： G06N99/005 , Y10S707/99937 , Y10S707/99942 , Y10S707/99943 , Y10S707/99944 , Y10S707/99945 , Y10S707/99953
摘要： The embodiments of the invention provide methods, computer program products, etc. for autonomic retention classes when retaining data within storage devices. More specifically, a method of determining whether to retain data within at least one storage device begins by storing data items in at least one storage device. Furthermore, the method maintains access statistics for each of the data items, an age of each of the data items, and an administrator-defined importance value of each of the data items. Following this, a retention value is calculated for each of the data items based on the access statistics for each of the data items, the age of each of the data items, and the administrator-defined importance value of each of the data items.
摘要翻译：本发明的实施例在将数据保存在存储设备内时提供用于自主保留类别的方法，计算机程序产品等。更具体地说，一种确定是否在至少一个存储设备内保留数据的方法开始于将数据项存储在至少一个存储设备中。此外，该方法维护每个数据项的访问统计，每个数据项的年龄以及每个数据项的管理员定义的重要性值。此后，基于每个数据项的访问统计，每个数据项的年龄和每个数据项的管理员定义的重要性值，为每个数据项计算保留值。

10. 发明申请

US20080222075A1 AUTONOMIC RETENTION CLASSES 失效
公开(公告)号：US20080222075A1
公开(公告)日：2008-09-11
申请号：US11681955
申请日：2007-03-05
申请人： Edward G. Chron , Joseph P. McCloskey , David A. Pease , Elizabeth S. Richards , Sandeep M. Uttamchandani
发明人： Edward G. Chron , Joseph P. McCloskey , David A. Pease , Elizabeth S. Richards , Sandeep M. Uttamchandani
IPC分类号： G06F17/30
CPC分类号： G06N99/005 , Y10S707/99937 , Y10S707/99942 , Y10S707/99943 , Y10S707/99944 , Y10S707/99945 , Y10S707/99953
摘要： The embodiments of the invention provide methods, computer program products, etc. for autonomic retention classes when retaining data within storage devices. More specifically, a method of determining whether to retain data within at least one storage device begins by storing data items in at least one storage device. Furthermore, the method maintains access statistics for each of the data items, an age of each of the data items, and an administrator-defined importance value of each of the data items. Following this, a retention value is calculated for each of the data items based on the access statistics for each of the data items, the age of each of the data items, and the administrator-defined importance value of each of the data items.

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式