The default number is 5, which is set when the connection load limit is configured. It is appreciated that these are merely illustrative examples and may be different based on the particular implementation.
For the load-sampling interval, the minimum value is 1 second and maximum value is 60 seconds. The default value is 5 seconds. Thus, one can consider up to the previous 8-minute average for load analysis.
Again, these are example settings. Weights can be assigned to each interval to calculate the average load. By default in one embodiment, each interval is given an equal weight of 1. The average load for a site can be calculated using the following formula:.
The contribution of any interval can be nullified by giving it a weight of zero. If every interval is given a weight of zero, the average load is zero. We cannot divide by zero. In one embodiment, the metric agent can calculate this average load and provide it to the metric collector at the GSLB switch By default, the connection-load metric is not turned on in the GSLB algorithm. The metric is automatically turned on when the user specifies the connection-load limit, in an embodiment. The specific configuration needs for connection-load sampling and calculation can be configured on the switch controller , whether the switch 12 is used for GSLB or as a site-specific switch.
To configure the connection load limit such as a connection load limit of , at the GSLB policy configuration level, the following example command can be used:. To configure the number of sampling intervals and the sampling rate e. To configure the interval weights, the following example command can be used:. All weights for all intervals need not be configured if not considering beyond a certain point.
The configured weights will be assigned to intervals starting from the first and any non-configured interval will be assigned a weight of zero. For example, if only the 5-second average is desired, the following can be used:. By default the connection-load metric is not included in the GSLB algorithm.
Once the connection-load limit is configured, the metric is included after the geographic-location metric in the metric order according to one embodiment, such as shown in FIG.
It is understood that the metric order can be changed or customized. At act , if there are no multiple candidates at the top of the IP list that have passed the connection-load metric or there are none of equal rank , then the IP address list is sent to the client program 28 at act After act , if multiple sites are of equal rank for the best site, the IP addresses can then be reordered based upon available session capacity act For example in one embodiment, if switch 18 A has 1,, sessions available and switch 22 B has , sessions available, switch 18 A is then preferred, if a tolerance limit, representing the difference in sessions available expressed as a percentage of capacity in the larger switch, is exceeded.
If an IP address is preferred act , the IP address will be placed at the top of the IP address list, and is then returned to the requesting entity at act Otherwise, if the session capacity metric does not resolve the best IP address, then the GSLB metric applies the active bindings metric at act According to an embodiment, active bindings is a measure of the number of active real servers e.
The active bindings metric bases its selection of the best IP address on this number of active servers and prefers a VIP with the highest number of active bindings. In effect by selecting the VIP with the highest number of active bindings, the active bindings metric allows the VIP with the largest server capacity to handle a correspondingly greater load of traffic.
An embodiment of the active bindings metric is an optional metric in the GSLB algorithm, and is disabled by default. When enabled, the active bindings metric is placed after the session capacity metric of act in the GSLB algorithm. The default metric order can be changed anytime using the metric-order command or other suitable command at the policy configuration level.
To use the active bindings metric, the user enables the metric in the GSLB policy. The GSLB switch controller processes the information from the metric agent and for each VIP of interest, stores the number of active bindings for the respective application port.
If the metric agent at the site switch is running a version of code that does not support the active bindings metric, the metric agent of one embodiment will not report any information specific to the active bindings metric. If the VIP address is not active or is down, the active bindings value is zero 0. The same logic applies to an IP address that is a real server.
The active bindings value is either 0 or 1, depending on the health check of the real IP address. The number of active bindings for an IP address is defined as follows in one embodiment:.
If the IP address is a VIP address residing on a remote site that supports the active bindings metric:. If all potential candidates have zero or equal value of active bindings, the active bindings metric considers all of them to be equal and passes them to be evaluated by the next stage in the GSLB algorithm at act Likewise, if two or more IP addresses have the highest value of active bindings, the active bindings metric will make no selection and passes all candidates with the high value to the next stage in the GSLB algorithm at act To use the active bindings metric, the metric is enabled in the GSLB policy or algorithm.
The flashback speed is a time required for a site switch to respond to layers 4 and 7 health checks by the GSLB switch. The flashback speed is thus a measure of the load on the host server. Again, the preferred IP address will correspond to a flashback speed exceeding the next one by a preset tolerance limit.
In one embodiment, flashback speeds are measured for well-known applications layer 7 and their corresponding TCP ports layer 4. For other applications, flashback speeds are measured for user selected TCP ports. Layer 7 application-level flashback speeds are compared first, if applicable. If the application flashbacks fail to provide a best IP address, layer 4 flashback speeds are compared.
If a host server is associated with multiple applications, the GSLB switch selects the slowest response time among the applications for the comparison. At act , if a best IP address is resolved, the IP address list is sent to client program 28 at act The IP address list is then sent to client program 28 act Upon receipt of the IP address list, the client program 28 uses the best IP address selected i.
Even then, if there is a sudden traffic surge that causes a host server to be overloaded, or if the host servers or the applications at the site become unavailable in the mean time, the site switch can redirect the TCP connection request to another IP address using, for example, an existing HTTP redirection procedure.
To provide an RTT under an embodiment of the present invention described above, at the first time a client accesses an IP address, a site switch e. A network neighborhood is the portion of a network sharing a prefix of an IP address.
The GSLB switch can thus look up the RTT for a client machine to any specific host server, based on the client's network neighborhood specified in the client's IP address. From the accesses to the host servers from a large number of network neighborhoods, the GSLB switch can build a comprehensive proximity knowledge database that enables smarter site selection.
In order to keep the proximity table useful and up-to-date, the GSLB switch manages the proximity table with cache management policies e. The proximity data can be used for all IP addresses served by each site switch. All of the above U. The above description of illustrated embodiments of the invention, including what is described in the Abstract, is not intended to be exhaustive or to limit the invention to the precise forms disclosed.
While specific embodiments of, and examples for, the invention are described herein for illustrative purposes, various equivalent modifications are possible within the scope of the invention and can be made without deviating from the spirit and scope of the invention.
For example, while various configuration commands or other software commands are explained above using a certain specific syntax, it is appreciated that this syntax is merely illustrative. Other types of commands, operations, or syntax can be used to perform the desired operations and settings. These and other modifications can be made to the invention in light of the above detailed description. The terms used in the following claims should not be construed to limit the invention to the specific embodiments disclosed in the specification and the claims.
Rather, the scope of the invention is to be determined entirely by the following claims, which are to be construed in accordance with established doctrines of claim interpretation. A method of providing load balancing, the method comprising: determining a number of active host servers bound to each of a plurality of virtual addresses;. An apparatus, comprising: a load balance switch having a controller to arrange a list of addresses and to identify a candidate optimum address as one of said addresses having a largest number of active servers bound to it.
USB1 en. USB2 en. System and method for seamless application hosting and migration in a network environment. Systems and methods comprising one or more data feed mechanisms for improving domain name system traffic management.
GBA en. System and method for predicting the geographic location of an internet protocol address. The method and device of load balancing under a kind of multiple data centers environment. Techniques for exchanging control and configuration information in a network visibility system. Configuration of load-sharing components of a network visibility router in a network visibility system. A kind of file transmitting method, device, system, electronic equipment and storage medium.
Systems and methods for dynamic load balancing based on server utilization and content popularity. System and method for server-side optimization of data delivery on a distributed computer network.
Load balancing of client connections across a network using server based algorithms. Apparatus and method for performing traffic redirection in a distributed system using a portion metric. Method and apparatus for providing network access control using a domain name system. System for transferring data of reusing a plurality of data transferring area cyclically.
Method and apparatus for transparently directing requests for web objects to proxy caches. Representing and verifying network management policies using collective constraints. Domain name resolution making IP address selections in response to connection status when multiple connections are present.
Cost-based optimization for content distribution using dynamic protocol selection and query resolution for cache server. Method for determining metrics of a content delivery and global traffic management network. Use of server access logs to generate scripts and scenarios for exercising and evaluating performance of web sites. Edge server java application framework having application server instance resource monitoring and management.
Method and system for automatically installing an initial software configuration including an operating system module from a library containing at least two operating system modules based on retrieved computer identification data.
Operations and provisioning systems for service level management in an extended-area data communications network. Client-side method and apparatus for improving the availability and performance of network mediated services. System, method and apparatus for network service load and reliability management. Apparatus and method for transmitting frames via a switch in a storage area network.
Switch module memory structure and per-destination queue flow control for use in a switch. Method and apparatus for routing data to a load balanced server using MPLS packet labels. System and method for processing packets according to user specified rules governed by a syntax. System and method for locating a closest server in response to a client domain name request. Method and apparatus for determining latency between multiple servers and a client. Identifying and displaying relevant shared entities in an instant messaging system.
Immediate ready implementation of virtually congestion free guaranteed service capable network: external internet nextgentcp square waveform TCP friendly san. Distributing requests across multiple content delivery networks based on subscriber policy. Structured archiving and retrieval of linked messages in a synchronous collaborative environment. Method and system to clear counters used for statistical tracking for global server load balancing.
Method and apparatus for a minimalist approach to implementing server selection. Domain name system security extensions dnssec for global server load balancing. Content server selection for accessing content in a content distribution network. Scale with open, flexible technology. Run on the cleanest cloud in the industry. Connect your teams with AI-powered apps. Resources Events.
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Content delivery network for delivering web and video. Streaming analytics for stream and batch processing. Monitoring, logging, and application performance suite. Fully managed environment for running containerized apps. Global server load balancing GSLB is the act of load balancing across globally distributed servers. This allows distribution of traffic to be performed efficiently across application servers that are dispersed geographically.
Simultaneously, the server performs health checks to assess the real time performance and responsiveness of the servers. Finally, the main server forwards the request to the local DNS server that is nearest geographically or has the shortest response time.
All of this happens behind the scenes within split seconds. Enterprises can find open source global server load balancing solutions online, but the highest performing GSLB services are generally integrated with application delivery solutions with commercial support.
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