NETWORK TRAFFIC OPTIMIZATION USING DEDUPLICATION INFORMATION FROM A STORAGE SYSTEM

    公开(公告)号:US20210117389A1

    公开(公告)日:2021-04-22

    申请号:US16657837

    申请日:2019-10-18

    Applicant: VMware, Inc.

    Abstract: The technology disclosed herein enables optimization of network traffic by deduplicating data for transmission using deduplication information generated by a storage system from which the data is being transferred. In a particular embodiment, a method provides, in a network traffic optimizer, receiving first data from a first storage system for transmission over the communication network. The first storage system performed a deduplication process on the first data when storing the first data therein and the deduplication process generated first deduplication information for the first data. The method further provides deduplicating the first data using the first deduplication information in the first storage system and transmitting the first data over the communication network.

    Machine learning prediction of virtual computing instance transfer performance

    公开(公告)号:US10853116B2

    公开(公告)日:2020-12-01

    申请号:US16040272

    申请日:2018-07-19

    Applicant: VMware, Inc.

    Abstract: The disclosure provides an approach for preventing the failure of virtual computing instance transfers across data centers. In one embodiment, a flow control module collects performance information primarily from components in a local site, as opposed to components in a remote site, during the transfer of a virtual machine (VM) from the local site to the remote site. The performance information that is collected may include various performance metrics, each of which is considered a feature. The flow control module performs feature preparation by normalizing feature data and imputing missing feature data, if any. The flow control module then inputs the prepared feature data into machine learning model(s) which have been trained to predict whether a VM transfer will succeed or fail, given the input feature data. If the prediction is that the VM transfer will fail, then remediation actions may be taken, such as slowing down the VM transfer.

    DISTRIBUTED GLOBAL LOAD-BALANCING SYSTEM FOR SOFTWARE-DEFINED DATA CENTERS
    13.
    发明申请
    DISTRIBUTED GLOBAL LOAD-BALANCING SYSTEM FOR SOFTWARE-DEFINED DATA CENTERS 有权
    用于软件定义的数据中心的分布式全球负载平衡系统

    公开(公告)号:US20150106523A1

    公开(公告)日:2015-04-16

    申请号:US14054716

    申请日:2013-10-15

    Applicant: VMware, Inc.

    CPC classification number: H04L67/1036 H04L67/1008 H04L67/1021 H04L67/1034

    Abstract: The disclosure herein describes a system for providing distributed global server load balancing (GSLB) over resources across multiple data centers. The system includes a directory group comprising one or more directory nodes and a plurality of GSLB nodes registered to the directory group. A respective GSLB node is configured to provide GSLB services over a respective portion of the resources. A directory node includes a domain name system (DNS) query-receiving module configured to receive a DNS query from a client, a node-selecting module configured to select from the plurality of GSLB nodes a first GSLB node based at least on the DNS query, and a DNS query-responding module configured to respond to the DNS query to the client using an address of the selected first GSLB node, thereby facilitating the selected first GSLB node in performing GSLB while resolving the DNS query.

    Abstract translation: 本文的公开内容描述了一种用于在跨多个数据中心的资源上提供分布式全局服务器负载平衡(GSLB)的系统。 该系统包括目录组,该目录组包括一个或多个目录节点和登记到该目录组的多个GSLB节点。 相应的GSLB节点被配置为在资源的相应部分上提供GSLB服务。 目录节点包括被配置为从客户端接收DNS查询的域名系统(DNS)查询接收模块,被配置为至少基于DNS查询从多个GSLB节点中选择第一GSLB节点的节点选择模块 以及配置为使用所选择的第一GSLB节点的地址向客户端响应DNS查询的DNS查询响应模块,从而在解析DNS查询时便于所选择的第一GSLB节点执行GSLB。

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