Dynamically updating load balancing criteria

    公开(公告)号:US11811861B2

    公开(公告)日:2023-11-07

    申请号:US17568806

    申请日:2022-01-05

    Applicant: VMware, Inc.

    CPC classification number: H04L67/1017 H04L61/4511

    Abstract: Some embodiments provide a method of performing load balancing for a group of machines that are distributed across several physical sites. The method of some embodiments iteratively computes (1) first and second sets of load values respectively for first and second sets of machines that are respectively located at first and second physical sites, and (2) uses the computed first and second sets of load values to distribute received data messages that the group of machines needs to process, among the machines in the first and second physical sites. The iterative computations entail repeated calculations of first and second sets of weight values that are respectively used to combine first and second load metric values for the first and second sets of machines to repeatedly produce the first and second sets of load values for the first and second sets of machines. The repeated calculation of the weight values automatedly and dynamically adjusts the load prediction at each site without user adjustment of these weight values. As it is difficult for a user to gauge the effect of each load metric on the overall load, some embodiments use machine learned technique to automatedly adjust these weight values.

    PARTITIONING HEALTH MONITORING IN A GLOBAL SERVER LOAD BALANCING SYSTEM

    公开(公告)号:US20200382390A1

    公开(公告)日:2020-12-03

    申请号:US16746790

    申请日:2020-01-17

    Applicant: VMware, Inc.

    Abstract: Some embodiments provide a novel method of performing health monitoring for resources associated with a global server load balancing (GSLB) system. This system is implemented by several domain name system (DNS) servers that perform DNS services for resources located at several geographically separate sites. The method identifies several different groupings of the resources. It then assigns the health monitoring of the different resource groups to different DNS servers. The method then configures each particular DNS server (1) to send health monitoring messages to the particular group of resources assigned to the particular DNS server, (2) to generate data by analyzing responses to the sent health monitoring messages, and (3) to distribute the generated data to the other DNS servers. The method in some embodiments is performed by a set of one or more controllers.

    PARTITIONING HEALTH MONITORING IN A GLOBAL SERVER LOAD BALANCING SYSTEM

    公开(公告)号:US20200382584A1

    公开(公告)日:2020-12-03

    申请号:US16746785

    申请日:2020-01-17

    Applicant: VMware, Inc.

    Abstract: Some embodiments provide a novel method of performing health monitoring for resources associated with a global server load balancing (GSLB) system. This system is implemented by several domain name system (DNS) servers that perform DNS services for resources located at several geographically separate sites. The method identifies several different groupings of the resources. It then assigns the health monitoring of the different resource groups to different DNS servers. The method then configures each particular DNS server (1) to send health monitoring messages to the particular group of resources assigned to the particular DNS server, (2) to generate data by analyzing responses to the sent health monitoring messages, and (3) to distribute the generated data to the other DNS servers. The method in some embodiments is performed by a set of one or more controllers.

    DYNAMICALLY UPDATING LOAD BALANCING CRITERIA

    公开(公告)号:US20240007522A1

    公开(公告)日:2024-01-04

    申请号:US18369809

    申请日:2023-09-18

    Applicant: VMware, Inc.

    CPC classification number: H04L67/1017 H04L61/4511

    Abstract: Some embodiments provide a method of performing load balancing for a group of machines that are distributed across several physical sites. The method of some embodiments iteratively computes (1) first and second sets of load values respectively for first and second sets of machines that are respectively located at first and second physical sites, and (2) uses the computed first and second sets of load values to distribute received data messages that the group of machines needs to process, among the machines in the first and second physical sites. The iterative computations entail repeated calculations of first and second sets of weight values that are respectively used to combine first and second load metric values for the first and second sets of machines to repeatedly produce the first and second sets of load values for the first and second sets of machines. The repeated calculation of the weight values automatedly and dynamically adjusts the load prediction at each site without user adjustment of these weight values. As it is difficult for a user to gauge the effect of each load metric on the overall load, some embodiments use machine learned technique to automatedly adjust these weight values.

    SECURITY AWARE LOAD BALANCING FOR A GLOBAL SERVER LOAD BALANCING SYSTEM

    公开(公告)号:US20230025679A1

    公开(公告)日:2023-01-26

    申请号:US17381001

    申请日:2021-07-20

    Applicant: VMware, Inc.

    Abstract: The method of some embodiments assigns a client to a particular datacenter from among multiple datacenters. The method is performed at a first datacenter, starting when it receives security data associated with a second datacenter. Then the method receives a DNS request from the client. Based on the received security data, the method sends a DNS reply assigning the client to the particular datacenter instead of the second datacenter. The receiving and sending is performed by a DNS cluster of the datacenter in some embodiments. The particular datacenter includes a set of servers implementing an application for the client in some embodiments. The datacenter to which the client gets assigned can be the first datacenter or a third datacenter.

    SECURITY AWARE LOAD BALANCING FOR A GLOBAL SERVER LOAD BALANCING SYSTEM

    公开(公告)号:US20230024475A1

    公开(公告)日:2023-01-26

    申请号:US17381010

    申请日:2021-07-20

    Applicant: VMware, Inc.

    Abstract: The method of some embodiments protects multiple datacenters that implement an application. The datacenter include multiple DNS clusters for assigning clients to the datacenters. The method is performed at a first datacenter. The method receives, from a second datacenter, a security notification identifying a set of clients that pose a security threat. The method stores a set of identifiers associated with the set of clients on a deny-list. Prior to responding to a DNS request from a particular client, the method determines whether the particular client is on the deny-list. The method rejects the DNS request when the particular client is on the deny-list. The method processes the DNS request when the particular client is not on the deny-list.

    DYNAMICALLY UPDATING LOAD BALANCING CRITERIA

    公开(公告)号:US20220368758A1

    公开(公告)日:2022-11-17

    申请号:US17568806

    申请日:2022-01-05

    Applicant: VMware, Inc.

    Abstract: Some embodiments provide a method of performing load balancing for a group of machines that are distributed across several physical sites. The method of some embodiments iteratively computes (1) first and second sets of load values respectively for first and second sets of machines that are respectively located at first and second physical sites, and (2) uses the computed first and second sets of load values to distribute received data messages that the group of machines needs to process, among the machines in the first and second physical sites. The iterative computations entail repeated calculations of first and second sets of weight values that are respectively used to combine first and second load metric values for the first and second sets of machines to repeatedly produce the first and second sets of load values for the first and second sets of machines. The repeated calculation of the weight values automatedly and dynamically adjusts the load prediction at each site without user adjustment of these weight values. As it is difficult for a user to gauge the effect of each load metric on the overall load, some embodiments use machine learned technique to automatedly adjust these weight values.

    METHOD AND SYSTEM FOR EFFICIENTLY PROPAGATING OBJECTS ACROSS A FEDERATED DATACENTER

    公开(公告)号:US20220237203A1

    公开(公告)日:2022-07-28

    申请号:US17568819

    申请日:2022-01-05

    Applicant: VMware, Inc.

    Abstract: Some embodiments of the invention provide a method for providing resiliency for globally distributed applications that span a federation that includes multiple geographically dispersed sites. At a first site, the method receives, from a second site, a login request for accessing a federated datastore maintained at the first site. The first site determines that the second site should be authorized and provides an authorization token to the second site, the authorization token identifying the second site as an authorized site. Based on the authorization token, the first site replicates a set of data from the federated datastore to the second site.

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