公开(公告)号：US10656868B2

公开(公告)日：2020-05-19

申请号：US15915618

申请日：2018-03-08

Applicant: Microsoft Technology Licensing, LLC

Inventor： Lokesh Srinivas Koppolu ,  David Allen Dion ,  Abhinit Kumar ,  Suresh Chandra Pippari ,  Amitabh Tamhane ,  Elden Christensen

IPC: G06F11/00 ,  G06F3/06 ,  G06F9/50 ,  G06F11/20

Abstract: Technologies for cluster systems that are natively geo-site-aware. Such a cluster system makes use of this awareness to determine the subsets of nodes located at various geo-sites at physical configuration, to optimize workload placement based on the geo-sites, to make failover and failback decisions based on the geo-sites, and to assign voting and prune nodes for quorum management based on the geo-sites. Such capabilities result in cluster systems that are more resilient and more efficient in terms of resource usage than cluster systems without such native geo-site awareness.

公开(公告)号：US20160036924A1

公开(公告)日：2016-02-04

申请号：US14551078

申请日：2014-11-24

Applicant: Microsoft Technology Licensing, LLC.

Inventor： Lokesh Srinivas Koppolu ,  David A. Dion ,  Abhinit Kumar ,  Amitabh P. Tamhane ,  Andrea D'Amato ,  Daniel Upton ,  Elden T. Christensen ,  Nicholas Maliwacki

IPC: H04L29/08 ,  H04L12/26

CPC classification number: H04L67/16 ,  G06F9/5088 ,  G06F11/1484 ,  G06F11/2028 ,  G06F11/2035 ,  G06F2201/81 ,  H04L41/0654 ,  H04L41/0896 ,  H04L41/5054 ,  H04L43/04 ,  H04L67/1025 ,  H04L67/322

Abstract: Embodiments provide workload processing for clustered systems. In an illustrative, non-limiting embodiment, a computer-implemented method may include identifying a server as an active node of a cluster; assigning a workload to the server in response to the identification; determining, after the assignment, that the server is no longer an active node of the cluster; calculating, in response to the determination, a probability that the server is capable of continuing to execute the workload; and deciding, based upon the probability, whether to allow the workload to remain assigned to the server.

Abstract translation: 实施例提供了集群系统的工作负载处理。 在说明性的非限制性实施例中，计算机实现的方法可以包括将服务器标识为集群的活动节点; 响应于所述标识向所述服务器分配工作负载; 在分配之后确定服务器不再是集群的活动节点; 响应于所述确定，计算所述服务器能够继续执行所述工作负载的概率; 并且基于概率来决定是否允许工作负荷保持分配给服务器。

公开(公告)号：US11290524B2

公开(公告)日：2022-03-29

申请号：US14459072

申请日：2014-08-13

Applicant: Microsoft Technology Licensing, LLC

Inventor： Abhinit Kumar ,  Andrea D'Amato ,  David Allen Dion ,  Gor Nishanov ,  Lokesh Srinivas Koppolu ,  Nicholas Maliwacki

IPC: G06F15/173 ,  G06F15/16 ,  H04L67/10 ,  H04L43/0876 ,  H04L43/0817 ,  H04L43/10 ,  G06F9/48 ,  G06F9/50 ,  H04L43/0823 ,  H04L41/0654

Abstract: Embodiments are directed to communicating between computing nodes in a cluster of nodes. In one scenario, a computer system receives a data packet from a worker node including the worker node's current workload identifiers and health status, where the data packet includes an associated version number. The computer system determines that the version number in the received data packet is different than a previously received data packet and evaluates the worker node's current workload configuration to determine whether workload changes are to be made on the worker node. Then, upon determining that workload changes are to be made on the worker node, the computer system selects a subset of workload changes to apply to the worker node, generates an indication of the selected subset of workload changes to the worker node and sends the generated indication of workload changes to the worker node.

公开(公告)号：US10609159B2

公开(公告)日：2020-03-31

申请号：US14551078

申请日：2014-11-24

Applicant: Microsoft Technology Licensing, LLC

Inventor： Lokesh Srinivas Koppolu ,  David A. Dion ,  Abhinit Kumar ,  Amitabh P. Tamhane ,  Andrea D'Amato ,  Daniel Upton ,  Elden T. Christensen ,  Nicholas Maliwacki

IPC: H04L29/08 ,  H04L12/26 ,  G06F11/30 ,  G06F9/50

Abstract: Embodiments provide workload processing for clustered systems. In an illustrative, non-limiting embodiment, a computer-implemented method may include identifying a server as an active node of a cluster; assigning a workload to the server in response to the identification; determining, after the assignment, that the server is no longer an active node of the cluster; calculating, in response to the determination, a probability that the server is capable of continuing to execute the workload; and deciding, based upon the probability, whether to allow the workload to remain assigned to the server.

公开(公告)号：US10437506B2

公开(公告)日：2019-10-08

申请号：US14968888

申请日：2015-12-14

Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC

Inventor： Lokesh Srinivas Koppolu ,  David Allen Dion ,  Abhinit Kumar ,  Suresh Chandra Pippari ,  Amitabh Tamhane ,  Elden Christensen

IPC: G06F11/00 ,  G06F3/06 ,  G06F9/50 ,  G06F11/20

Abstract: Technologies for cluster systems that are natively geo-site-aware. Such a cluster system makes use of this awareness to determine the subsets of nodes located at various geo-sites at physical configuration, to optimize workload placement based on the geo-sites, to make failover and failback decisions based on the geo-sites, and to assign voting and prune nodes for quorum management based on the geo-sites. Such capabilities result in cluster systems that are more resilient and more efficient in terms of resource usage than cluster systems without such native geo-site awareness.

公开(公告)号：US20180239536A1

公开(公告)日：2018-08-23

申请号：US15915618

申请日：2018-03-08

Applicant: Microsoft Technology Licensing, LLC

Inventor： Lokesh Srinivas Koppolu ,  David Allen Dion ,  Abhinit Kumar ,  Suresh Chandra Pippari ,  Amitabh Tamhane ,  Elden Christensen

IPC: G06F3/06 ,  G06F11/20 ,  G06F9/50

CPC classification number: G06F3/065 ,  G06F3/0619 ,  G06F3/0683 ,  G06F9/505 ,  G06F9/5061 ,  G06F9/5072 ,  G06F11/2094 ,  G06F2209/502

Abstract: Technologies for cluster systems that are natively geo-site-aware. Such a cluster system makes use of this awareness to determine the subsets of nodes located at various geo-sites at physical configuration, to optimize workload placement based on the geo-sites, to make failover and failback decisions based on the geo-sites, and to assign voting and prune nodes for quorum management based on the geo-sites. Such capabilities result in cluster systems that are more resilient and more efficient in terms of resource usage than cluster systems without such native geo-site awareness.

公开(公告)号：US20170052707A1

公开(公告)日：2017-02-23

申请号：US14968888

申请日：2015-12-14

Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC

Inventor： Lokesh Srinivas Koppolu ,  David Allen Dion ,  Abhinit Kumar ,  Suresh Chandra Pippari ,  Amitabh Tamhane ,  Elden Christensen

IPC: G06F3/06 ,  G06F11/20 ,  G06F9/50

CPC classification number: G06F3/065 ,  G06F3/0619 ,  G06F3/0683 ,  G06F9/505 ,  G06F9/5061 ,  G06F9/5072 ,  G06F11/2094 ,  G06F2209/502

Abstract: Technologies for cluster systems that are natively geo-site-aware. Such a cluster system makes use of this awareness to determine the subsets of nodes located at various geo-sites at physical configuration, to optimize workload placement based on the geo-sites, to make failover and failback decisions based on the geo-sites, and to assign voting and prune nodes for quorum management based on the geo-sites. Such capabilities result in cluster systems that are more resilient and more efficient in terms of resource usage than cluster systems without such native geo-site awareness.

Abstract translation: 用于本地地理位置感知的集群系统的技术。 这样的集群系统利用这种意识来确定位于物理配置处的各种地理位置处的节点的子集，以基于地理位置优化工作负载布局，基于地理位置进行故障转移和故障恢复决策，以及 根据地理位置为法定人数管理分配投票和修剪节点。 这样的功能导致集群系统在资源使用方面比具有本地地理位置感知的集群系统更有弹性和更高效。