会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 41. 发明申请
    • CHARGEBACK REDUCTION PLANNING FOR INFORMATION TECHNOLOGY MANAGEMENT
    • 信息技术管理减免计划
    • US20110078695A1
    • 2011-03-31
    • US12567582
    • 2009-09-25
    • Sandip AgarwalaRamani R. RoutraySandeep M. Uttamchandani
    • Sandip AgarwalaRamani R. RoutraySandeep M. Uttamchandani
    • G06F9/46
    • G06Q30/04G06Q10/06G06Q30/0283
    • Reducing cost chargeback in an information technology (IT) computing environment including multiple resources, is provided. One implementation involves a process wherein resource usage and allocation statistics are stored for a multitude of resources and associated cost policies. Then, time-based usage patterns are determined for the resources from the statistics. A correlation of response time with resource usages and outstanding input/output instructions for the resources is determined. Based on usage patterns and the correlation, a multitude of potential cost reduction recommendations are determined. Further, a multitude of integrals are obtained based on the potential cost reduction recommendations, and a statistical integral is obtained based on the statistics. A difference between the statistical integral and each of the multiple integrals is obtained and compared with a threshold to determine potential final cost reduction recommendations. A final cost reduction recommendation is then selected from the potential cost reduction recommendations.
    • 提供了包括多种资源在内的信息技术(IT)计算环境中降低成本退款。 一个实现涉及一种过程,其中针对多个资源和相关联的成本策略来存储资源使用和分配统计。 然后,根据统计资料确定基于时间的使用模式。 确定响应时间与资源利用率和资源的未完成输入/输出指令的相关性。 根据使用模式和相关性,确定了大量潜在的降低成本的建议。 此外,基于潜在的成本降低建议获得了大量的积分,并且基于统计获得统计积分。 获得统计积分和每个多重积分之间的差异,并将其与阈值进行比较,以确定潜在的最终成本降低建议。 然后从潜在的成本降低建议中选择最终的成本降低建议。
    • 47. 发明授权
    • Risk-modulated proactive data migration for maximizing utility in storage systems
    • 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
    • US07752239B2
    • 2010-07-06
    • US12061764
    • 2008-04-03
    • Elizabeth S. RichardsSandeep M. UttamchandaniLi Yin
    • Elizabeth S. RichardsSandeep M. UttamchandaniLi Yin
    • G06F7/00
    • G06F3/0653G06F3/0605G06F3/0647G06F3/0683Y10S707/99953Y10S707/99955
    • 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.
    • 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。
    • 49. 发明授权
    • Stable, minimal skew resource flow control technique in large scale enterprise storage systems
    • 在大型企业存储系统中稳定,最小化偏向资源流控制技术
    • US07526552B2
    • 2009-04-28
    • US11211793
    • 2005-08-25
    • Juan C. GomezSandeep M. Uttamchandani
    • Juan C. GomezSandeep M. Uttamchandani
    • G06F15/173G06F15/16
    • G06F3/0631G06F3/0605G06F3/0613G06F3/067H04L47/27
    • A system and method of conducting resource flow control sessions in a computer network comprises sending a resource request from a client computer to a server computer; assigning to the client computer a flow control window, wherein a size of a flow control window is based on resources available to the server computer and a level of activity of a corresponding client computer, wherein the server computer is in any of a busy and idle state of activity; determining whether to change the size of the flow control window upon receiving the resource request based on the level of activity of the corresponding client computer and a current utilization of resources during a particular session of use; tracking a number of active sessions of use of the resources in a predetermined time window; and maintaining the flow control window with a maximum queue size per number of sessions value.
    • 在计算机网络中进行资源流控制会话的系统和方法包括:从客户计算机向服务器计算机发送资源请求; 向客户端计算机分配流控制窗口,其中流控制窗口的大小基于可用于服务器计算机的资源和相应的客户端计算机的活动级别,其中服务器计算机处于忙碌和空闲状态 活动状态 基于相应的客户端计算机的活动级别以及特定的使用期间的资源的当前利用,确定在接收到资源请求时是否改变流量控制窗口的大小; 在预定时间窗口中跟踪资源的使用的多个活动会话; 并且每个会话值的每个维度具有最大队列大小的流控制窗口。