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    • 8. 发明授权
    • Automated disaster recovery planning
    • 自动灾难恢复规划
    • US07992031B2
    • 2011-08-02
    • US12508783
    • 2009-07-24
    • Kavita ChavdaMickey IqbalSeshashayee S. MurthyRamani R. RoutraySandeep M. Uttamchandani
    • Kavita ChavdaMickey IqbalSeshashayee S. MurthyRamani R. RoutraySandeep M. Uttamchandani
    • G06F11/00
    • G06F11/0793G06F11/1438G06F11/1446G06F11/2035G06F11/2038G06F11/2056G06F11/2094G06F11/2097
    • A system and associated method for automated disaster recovery (DR) planning. A DR planning process receives disaster recovery requirements and a target environment configuration from a user to design DR plans for the target environment configuration that meets disaster recovery requirements. The DR planning process accesses a knowledgebase containing information on replication technologies, best practice recipes, and past deployment instances. The DR planning process creates the DR plans by analyzing the disaster recovery requirements into element risks, associating replication technologies to protect each element risks, combining associated replication technologies based on the best practice recipes, and selecting highly evaluated combination based on the past deployment instances. The DR planning process presents the DR plans as classified by replication strategy-architecture combination for each DR plans and marks how strongly each DR plans are recommended.
    • 用于自动化灾难恢复(DR)规划的系统和相关方法。 DR计划过程从用户接收灾难恢复要求和目标环境配置,以设计满足灾难恢复要求的目标环境配置的DR计划。 DR计划流程访问包含有关复制技术,最佳实践配方和过去部署实例的信息的知识库。 DR计划过程通过将灾难恢复要求分析为元素风险,将复制技术与保护每个元素的风险相关联,并根据最佳实践方案组合关联的复制技术,并根据过去的部署实例选择高度评估的组合来创建DR计划。 灾害恢复计划过程将灾难恢复计划列为每个灾难恢复计划的复制策略 - 架构组合分类,并标记每个灾难恢复计划的推荐程度。
    • 10. 发明申请
    • COST AND POWER EFFICIENT STORAGE AREA NETWORK PROVISIONING
    • 成本和功率有效的存储区域网络规定
    • US20110238672A1
    • 2011-09-29
    • US12749435
    • 2010-03-29
    • Sandip AgarwalaHarsha D. GunatilakaRamani R. Routray
    • Sandip AgarwalaHarsha D. GunatilakaRamani R. Routray
    • G06F17/30
    • H04L67/1097
    • Various embodiments for efficiently provisioning a storage area network (SAN) are provided. In one embodiment, SAN information is provided to an engine for optimization. The SAN information includes at least one of SAN configuration information, SAN usage information, at least one cost profile, and at least one chargeback model. Based on the SAN information, those of an available plurality of storage resources not meeting at least one storage criterion are filtered. The filtered storage resources are ranked on a cost basis. A resource configuration graph is constructed based on the ranked storage resources. The resource configuration graph is traversed to obtain a plurality of possible SAN configuration plans. At least one power profile is applied to the plurality of possible SAN configuration plans to rank the plurality of possible SAN configuration plans by energy consumption.
    • 提供了用于有效地配置存储区域网络(SAN)的各种实施例。 在一个实施例中,SAN信息被提供给发动机以进行优化。 SAN信息包括SAN配置信息,SAN使用信息,至少一个成本简档和至少一个退款模型中的至少一个。 基于SAN信息,过滤不符合至少一个存储标准的可用多个存储资源的SAN信息。 过滤的存储资源按成本排列。 基于排名的存储资源构建资源配置图。 遍历资源配置图以获得多个可能的SAN配置计划。 至少一个功率配置文件被应用于多个可能的SAN配置计划,以通过能量消耗对多个可能的SAN配置计划进行排序。