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1. 发明授权

US08407403B2 Extending SSD lifetime using hybrid storage 有权
标题翻译：使用混合存储扩展SSD寿命
公开(公告)号：US08407403B2
公开(公告)日：2013-03-26
申请号：US12631875
申请日：2009-12-07
申请人： Vijayan Prabhakaran , Mahesh Balakrishnan , Gokul Soundararajan
发明人： Vijayan Prabhakaran , Mahesh Balakrishnan , Gokul Soundararajan
IPC分类号： G06F12/00
CPC分类号： G06F12/0888 , G06F12/0804 , G06F12/0866 , G06F2212/1036 , G06F2212/224
摘要： A hybrid storage device uses a write cache such as a hard disk drive, for example, to cache data to a solid state drive (SSD). Data is logged sequentially to the write cache and later migrated to the SSD. The SSD is a primary storage that stores data permanently. The write cache is a persistent durable cache that may store data of disk write operations temporarily in a log structured fashion. A migration policy may be used to determine how long to cache the data in the write cache before migrating the data to the SDD. The migration policy may be implemented using one or more migration triggers that cause the contents of the write cache to be flushed to the SSD. Migration triggers may include a timeout trigger, a read threshold trigger, and a migration size trigger, for example.
摘要翻译：混合存储设备例如使用诸如硬盘驱动器的写入高速缓存来将数据高速缓存到固态驱动器（SSD）。数据将顺序记录到写入高速缓存中，并随后迁移到SSD。 SSD是永久存储数据的主存储。写缓存是持久耐用高速缓存，可以以日志结构化方式临时存储磁盘写入操作的数据。可以使用迁移策略来确定在将数据迁移到SDD之前在写缓存中缓存数据的时间。可以使用一个或多个迁移触发器来实现迁移策略，这些触发器使得写入高速缓存的内容被刷新到SSD。例如，迁移触发器可能包括超时触发器，读取阈值触发器和迁移大小触发器。

2. 发明申请

US20110138106A1 EXTENDING SSD LIFETIME USING HYBRID STORAGE 有权
标题翻译：使用混合存储扩展SSD寿命
公开(公告)号：US20110138106A1
公开(公告)日：2011-06-09
申请号：US12631875
申请日：2009-12-07
申请人： Vijayan Prabhakaran , Mahesh Balakrishnan , Gokul Soundararajan
发明人： Vijayan Prabhakaran , Mahesh Balakrishnan , Gokul Soundararajan
IPC分类号： G06F12/00 , G06F12/08 , G06F12/02
CPC分类号： G06F12/0888 , G06F12/0804 , G06F12/0866 , G06F2212/1036 , G06F2212/224
摘要： A hybrid storage device uses a write cache such as a hard disk drive, for example, to cache data to a solid state drive (SSD). Data is logged sequentially to the write cache and later migrated to the SSD. The SSD is a primary storage that stores data permanently. The write cache is a persistent durable cache that may store data of disk write operations temporarily in a log structured fashion. A migration policy may be used to determine how long to cache the data in the write cache before migrating the data to the SDD. The migration policy may be implemented using one or more migration triggers that cause the contents of the write cache to be flushed to the SSD. Migration triggers may include a timeout trigger, a read threshold trigger, and a migration size trigger, for example.
摘要翻译：混合存储设备例如使用诸如硬盘驱动器的写入高速缓存来将数据高速缓存到固态驱动器（SSD）。数据将顺序记录到写入高速缓存中，并随后迁移到SSD。 SSD是永久存储数据的主存储。写缓存是持久耐用高速缓存，可以以日志结构化方式临时存储磁盘写入操作的数据。可以使用迁移策略来确定在将数据迁移到SDD之前在写缓存中缓存数据的时间。可以使用一个或多个迁移触发器来实现迁移策略，这些触发器使得写入高速缓存的内容被刷新到SSD。例如，迁移触发器可能包括超时触发器，读取阈值触发器和迁移大小触发器。

3. 发明授权

US11341104B1 In place resize of a distributed database 有权
公开(公告)号：US11341104B1
公开(公告)日：2022-05-24
申请号：US16360800
申请日：2019-03-21
申请人： Vijayan Prabhakaran , Rajesh Parangi Sharabhalingappa , Sanuj Basu , Gokul Soundararajan , Krishna Chaitanya Gudipati , Aditya Subrahmanyan
发明人： Vijayan Prabhakaran , Rajesh Parangi Sharabhalingappa , Sanuj Basu , Gokul Soundararajan , Krishna Chaitanya Gudipati , Aditya Subrahmanyan
IPC分类号： G06F16/22 , G06F16/21 , H04L67/1097 , G06F11/14 , G06F16/27
摘要： Techniques for resizing a distributed database are described. A request to resize a distributed database is received. The distributed database stores data organized into one or more rows of one or more tables. Each node of the first plurality of nodes is assigned a portion of the data. A portion of the data assigned to a first node in the first plurality of nodes is selected to be assigned to a second node in a second plurality of nodes. The number of nodes in the first and second plurality of nodes is different, and the first and second plurality of nodes include at least one common node. Metadata of the selected portion of the data is transferred from the first node to the second node. The metadata that includes a location of the selected portion of the data within a provider network.

4. 发明授权

US09274838B2 Dynamic instantiation and management of virtual caching appliances 有权
标题翻译：虚拟缓存设备的动态实例化和管理
公开(公告)号：US09274838B2
公开(公告)日：2016-03-01
申请号：US13334689
申请日：2011-12-22
申请人： Lakshmi Narayanan Bairavasundaram , Gokul Soundararajan , Vipul Mathur , Kaladhar Voruganti
发明人： Lakshmi Narayanan Bairavasundaram , Gokul Soundararajan , Vipul Mathur , Kaladhar Voruganti
IPC分类号： H04L12/751 , H04L12/803 , G06F9/50 , G06F12/08 , G06F11/07 , H04L12/24 , G06F11/34
CPC分类号： G06F9/45558 , G06F9/5016 , G06F9/5077 , G06F9/5083 , G06F11/073 , G06F11/3409 , G06F12/0806 , G06F2009/4557 , G06F2009/45583 , G06F2009/45595 , H04L41/0816 , H04L41/0896 , H04L67/2842
摘要： It is detected that a metric associated with a first workload has breached a first threshold. It is determined that the first workload and a second workload access the same storage resources, wherein the storage resources are associated with a storage server. It is determined that the metric is impacted by the first workload and the second workload accessing the same storage resources. In response to a determination that the metric is impacted by the first workload and the second workload accessing the same storage resources, a first virtual cache appliance is instantiated and one of the first workload or the second workload is routed through the virtual cache appliance. Routing one of the first workload or the second workload through the first virtual cache appliance causes the first virtual cache appliance to cache data associated with the storage resources.
摘要翻译：检测到与第一工作负荷相关联的度量已经违反了第一阈值。确定第一工作负载和第二工作负载访问相同的存储资源，其中存储资源与存储服务器相关联。确定该度量受到第一工作负载的影响，并且第二工作负载访问相同的存储资源。响应于确定度量受到第一工作负载的影响并且访问相同存储资源的第二工作负载，第一虚拟高速缓存设备被实例化，并且第一工作负载或第二工作负载中的一个通过虚拟高速缓存设备被路由。通过第一个虚拟缓存设备路由第一个工作负载或第二个工作负载之一，导致第一个虚拟缓存设备缓存与存储资源相关联的数据。

5. 发明授权

US08924658B1 Dynamic storage management using virtual storage appliances 有权
标题翻译：使用虚拟存储设备进行动态存储管理
公开(公告)号：US08924658B1
公开(公告)日：2014-12-30
申请号：US13032409
申请日：2011-02-22
申请人： Lakshmi Narayanan Bairavasundaram , Garth Goodson , Vipul Mathur , Shankar Pasupathy , Gokul Soundararajan , Kiran Srinivasan , Kaladhar Voruganti
发明人： Lakshmi Narayanan Bairavasundaram , Garth Goodson , Vipul Mathur , Shankar Pasupathy , Gokul Soundararajan , Kiran Srinivasan , Kaladhar Voruganti
IPC分类号： G06F12/00
CPC分类号： G06F3/067 , G06F3/0611 , G06F3/0653 , G06F9/45558 , G06F12/109 , G06F2009/45583 , G06F2009/45595 , H04L67/1097
摘要： The techniques introduced here provide for efficient management of storage resources in a modern, dynamic data center through the use of virtual storage appliances. Virtual storage appliances perform storage operations and execute in or as a virtual machine on a hypervisor. A storage management system monitors a storage system to determine whether the storage system is satisfying a service level objective for an application. The storage management system then manages (e.g., instantiates, shuts down, or reconfigures) a virtual storage appliance on a physical server. The virtual storage appliance uses resources of the physical server to meet the storage related needs of the application that the storage system cannot provide. This automatic and dynamic management of virtual storage appliances by the storage management system allows storage systems to quickly react to changing storage needs of applications without requiring expensive excess storage capacity.
摘要翻译：这里介绍的技术通过使用虚拟存储设备来提供现代动态数据中心中的存储资源的有效管理。虚拟存储设备执行存储操作，并在虚拟机管理程序中或作为虚拟机执行。存储管理系统监视存储系统以确定存储系统是否满足应用的服务级目标。存储管理系统然后管理（例如，实例化，关闭或重新配置）物理服务器上的虚拟存储设备。虚拟存储设备使用物理服务器的资源来满足存储系统无法提供的应用程序的存储相关需求。存储管理系统对虚拟存储设备的自动和动态管理允许存储系统快速响应应用中不断变化的存储需求，而不需要昂贵的超额存储容量。

6. 发明授权

US08769202B1 Systems and methods for tracking working-set estimates with a limited resource budget 有权
标题翻译：以有限的资源预算跟踪工作集估计的系统和方法
公开(公告)号：US08769202B1
公开(公告)日：2014-07-01
申请号：US13198495
申请日：2011-08-04
申请人： Gokul Soundararajan , Lakshmi Narayanan Bairavasundaram , Vipul Mathur , Kaladhar Voruganti
发明人： Gokul Soundararajan , Lakshmi Narayanan Bairavasundaram , Vipul Mathur , Kaladhar Voruganti
IPC分类号： G06F12/00
CPC分类号： G06F12/0802 , G06F12/0888 , G06F2212/6042
摘要： Embodiments of the systems and techniques described here can leverage several insights into the nature of workload access patterns and the working-set behavior to reduce the memory overheads. As a result, various embodiments make it feasible to maintain running estimates of a workload's cacheability in current storage systems with limited resources. For example, some embodiments provide for a method comprising estimating cacheability of a workload based on a first working-set size estimate generated from the workload over a first monitoring interval. Then, based on the cacheability of the workload, a workload cache size can be determined. A cache then can be dynamically allocated (e.g., change, possibly frequently, the cache allocation for the workload when the current allocation and the desired workload cache size differ), within a storage system for example, in accordance with the workload cache size.
摘要翻译：这里描述的系统和技术的实施例可以利用对工作负载访问模式和工作集行为的性质的几个见解，以减少内存开销。因此，各种实施例使得可以在有限的资源的当前存储系统中维持工作负载的高速缓存的运行估计。例如，一些实施例提供了一种方法，其包括基于在第一监视间隔上从工作负载产生的第一工作集大小估计来估计工作负载的可缓存性。然后，基于工作负载的可缓存性，可以确定工作负载高速缓存大小。然后可以根据工作负载高速缓存大小来动态地分配高速缓存（例如，当当前分配和期望的工作负载高速缓存大小不同时，可以频繁地改变工作负载的高速缓存分配），例如在存储系统内。

7. 发明授权

US09122535B2 Optimizing distributed data analytics for shared storage 有权
标题翻译：优化共享存储的分布式数据分析
公开(公告)号：US09122535B2
公开(公告)日：2015-09-01
申请号：US13302306
申请日：2011-11-22
申请人： Gokul Soundararajan , Madalin Mihailescu
发明人： Gokul Soundararajan , Madalin Mihailescu
IPC分类号： G06F9/46 , G06F9/50
CPC分类号： H04L67/2842 , G06F9/5066 , G06F12/0815 , G06F12/0862 , G06F12/0868 , G06F17/30132 , G06F17/30194 , G06F2212/284 , H04L67/06
摘要： Methods, systems, and computer executable instructions for performing distributed data analytics are provided. In one exemplary embodiment, a method of performing a distributed data analytics job includes collecting application-specific information in a processing node assigned to perform a task to identify data necessary to perform the task. The method also includes requesting a chunk of the necessary data from a storage server based on location information indicating one or more locations of the data chunk and prioritizing the request relative to other data requests associated with the job. The method also includes receiving the data chunk from the storage server in response to the request and storing the data chunk in a memory cache of the processing node which uses a same file system as the storage server.
摘要翻译：提供了用于执行分布式数据分析的方法，系统和计算机可执行指令。在一个示例性实施例中，执行分布式数据分析作业的方法包括在分配用于执行任务以识别执行任务所需的数据的处理节点中收集特定于应用的信息。该方法还包括基于指示数据块的一个或多个位置的位置信息和相对于与该作业相关联的其它数据请求对该请求进行优先级排序从存储服务器请求一组必要数据。该方法还包括响应于请求从存储服务器接收数据块，并将数据块存储在使用与存储服务器相同的文件系统的处理节点的存储器高速缓存中。

8. 发明申请

US20130132967A1 OPTIMIZING DISTRIBUTED DATA ANALYTICS FOR SHARED STORAGE 有权
公开(公告)号：US20130132967A1
公开(公告)日：2013-05-23
申请号：US13302306
申请日：2011-11-22
申请人： Gokul Soundararajan , Madalin Mihailescu
发明人： Gokul Soundararajan , Madalin Mihailescu
IPC分类号： G06F9/46 , G06F15/16
CPC分类号： H04L67/2842 , G06F9/5066 , G06F12/0815 , G06F12/0862 , G06F12/0868 , G06F17/30132 , G06F17/30194 , G06F2212/284 , H04L67/06
摘要： Methods, systems, and computer executable instructions for performing distributed data analytics are provided. In one exemplary embodiment, a method of performing a distributed data analytics job includes collecting application-specific information in a processing node assigned to perform a task to identify data necessary to perform the task. The method also includes requesting a chunk of the necessary data from a storage server based on location information indicating one or more locations of the data chunk and prioritizing the request relative to other data requests associated with the job. The method also includes receiving the data chunk from the storage server in response to the request and storing the data chunk in a memory cache of the processing node which uses a same file system as the storage server.

9. 发明授权

US08429096B1 Resource isolation through reinforcement learning 有权
标题翻译：资源隔离通过强化学习
公开(公告)号：US08429096B1
公开(公告)日：2013-04-23
申请号：US12059702
申请日：2008-03-31
申请人： Gokul Soundararajan , Swaminathan Sivasubramanian , Grant A. M. McAlister , Rajesh S. Sheth
发明人： Gokul Soundararajan , Swaminathan Sivasubramanian , Grant A. M. McAlister , Rajesh S. Sheth
IPC分类号： G06F15/18
CPC分类号： G06F17/30306 , G06F9/5005 , G06F2209/5013
摘要： Systems and methods for providing resource isolation in a shared computing environment using reinforcement learning (RL) techniques are disclosed. A resource isolation mechanism may be applied in a shared storage system, or database service, that limits the resource utilization of each namespace to its specified allocation. For example, the resource isolation mechanism may be used to limit the I/O utilization of database applications in a shared computing system (e.g., a system supporting a database service) to a specified limit. In such embodiments, RL techniques may be applied to the system to automatically control the rate of queries made by an application. RL techniques, such as those based on the State-Action-Reward-State-Action (SARSA) method may be effective in controlling the I/O utilization of database applications for different workloads. RL techniques may be applied globally by the service, or may be applied to particular subscribers, applications, shared resources, namespaces, or query types.
摘要翻译：公开了使用强化学习（RL）技术在共享计算环境中提供资源隔离的系统和方法。资源隔离机制可以应用在共享存储系统或数据库服务中，将每个命名空间的资源利用率限制到其指定的分配。例如，资源隔离机制可以用于将共享计算系统（例如，支持数据库服务的系统）中的数据库应用的I / O利用率限制到指定的限制。在这样的实施例中，可以将RL技术应用于系统以自动控制由应用进行的查询的速率。 RL技术，例如基于状态 - 行动 - 奖励 - 国家行动（SARSA）方法的技术可能有效地控制数据库应用程序对不同工作负载的I / O利用率。 RL技术可以由服务全局应用，或者可以应用于特定订户，应用，共享资源，命名空间或查询类型。

10. 发明授权

US08874848B2 Intelligence for controlling virtual storage appliance storage allocation 有权
标题翻译：用于控制虚拟存储设备存储分配的智能
公开(公告)号：US08874848B2
公开(公告)日：2014-10-28
申请号：US13250911
申请日：2011-09-30
申请人： Gokul Soundararajan , Kaladhar Voruganti , Lakshmi Narayanan Bairavasundaram , Priya Sehgal , Vipul Mathur
发明人： Gokul Soundararajan , Kaladhar Voruganti , Lakshmi Narayanan Bairavasundaram , Priya Sehgal , Vipul Mathur
IPC分类号： G06F12/00 , G06F12/08 , G06F13/00 , G06F13/28
CPC分类号： G06F12/0811 , G06F12/0813 , G06F12/0888 , G06F2212/2515 , G06F2212/284 , G06F2212/301 , G06F2212/601
摘要： A change in workload characteristics detected at one tier of a multi-tiered cache is communicated to another tier of the multi-tiered cache. Multiple caching elements exist at different tiers, and at least one tier includes a cache element that is dynamically resizable. The communicated change in workload characteristics causes the receiving tier to adjust at least one aspect of cache performance in the multi-tiered cache. In one aspect, at least one dynamically resizable element in the multi-tiered cache is resized responsive to the change in workload characteristics.
摘要翻译：在多层缓存的一层检测到的工作负载特性的变化被传送到多层高速缓存的另一层。多个缓存元素存在于不同的层，并且至少一个层包括可动态调整大小的高速缓存元素。所传达的工作负载特性的改变使得接收层在多层缓存中调整缓存性能的至少一个方面。在一个方面，响应于工作负载特性的变化来调整多层缓存中的至少一个可动态调整大小的元素。

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