CN101247349A - Network flux fast distribution method - Google Patents

Network flux fast distribution method Download PDF

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Publication number
CN101247349A
CN101247349A CN 200810101865 CN200810101865A CN101247349A CN 101247349 A CN101247349 A CN 101247349A CN 200810101865 CN200810101865 CN 200810101865 CN 200810101865 A CN200810101865 A CN 200810101865A CN 101247349 A CN101247349 A CN 101247349A
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China
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server
group
speed
high
server groups
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CN 200810101865
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Chinese (zh)
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张雯宇
波 李
贝少峰
邱志金
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华耀环宇科技(北京)有限公司
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Priority to CN 200810101865 priority Critical patent/CN101247349A/en
Publication of CN101247349A publication Critical patent/CN101247349A/en

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Abstract

The invention relates to a network flow rapid distributing method, comprising steps of: 1) Defining a plurality of high speed server groups and filling each high speed server group in hash table according to ordering or appointed sequence; 2) Defining one or more backup server groups; 3) extracting URL when receiving client requests; 4) calculating a key value according to URL by using hash algorithm; 5) molding the key by number of effective items of the hash table, then finding corresponding server groups from the hash table according to obtained modulus; 6) Distributing the client requests to found server groups. Health check is applied on the high speed server groups regularly when processing above steps, if the server groups are valid, the server groups are used; if the server groups are invalid, backup server groups are used. The invention distributes the network flow evenly to a plurality of servers, and solving the problem that data storage redundancy and non-recoverable loss data of the server in former load equalizing strategy.

Description

一种网络流量快速分配方法技术领域本发明涉及一种网络流量分配方法,特别是关于一种基于URL (网络通用资源地址)的网络流量快速分配方法。 A network traffic fast assignment TECHNICAL FIELD The present invention relates to a method for allocating network traffic, particularly to a fast allocation based on URL (Universal Resource Locator Network) network traffic. 背景技术网络流量分配方法,也称为负载均衡策略,是流量管理中把客户的数据流量平均分流到多个后台服务器上的技术方法,此方法有助于充分利用所有后台服务器的功能。 BACKGROUND network flow distribution method, also known as load balancing policy is traffic management in the customer's data traffic evenly split on technical methods to multiple back-end servers, this approach helps to take full advantage of all the back-end servers. 通常的负载均衡方法有三种:1、轮循均衡,即按顺序循环的方法将每一次来自客户的请求依次分配给集群服务器中的具体服务器。 Load balancing typically three ways: 1, Round Robin, i.e. according to the method will cycle through every request from a client server cluster are allocated for the specific server. 2、最小连接数均衡,即传递新的客户请求给那些进行最少连接处理的服务器,在SLB (服务负载平衡) 软件系统中,集群服务器中的每一台服务器都有一个记述器,记录当前该服务器正在处理的进程数量,当有新的客户请求时,SLB总是将请求分配给当前进程数最少的服务器。 2, the minimum number of connections equilibrium, i.e. to pass the new client requests a server that minimal connection processing, in SLB (service load balancing) software systems, clustered servers each server has a device is described, which records the current the number of process server being processed, when a new client request, SLB always request a minimum number of processes assigned to the current server. 3、处理能力均衡,即给所有服务器分组,给每个组定义优先权,将客户请求分配给优先级最高的服务器组,在系统Setup时,要求用户先给出每一台服务器的配置情况,这里主要是影响服务器处理能力的CPU型号、CPU数量和内存数量,然后系统将其换算成处理能力单位,SLB根据每一台服务器的能力,均衡地将任务分配给性能最高的服务器。 3, the processing capacity of the equalizer, i.e., all packets to the server, the priority is defined for each group, the client requests to the server with the highest priority group, the Setup when the system, requires a user to be given the configuration of each server, here mainly affect server processing power of the CPU type, CPU number and amount of memory, then it will be converted into units of processing power, SLB according to the capacity of each server, balanced assign tasks to the highest performance servers. 在Web应用中,数据量巨大,为了兼顾容量和速度,常常将高速服务器(小容量)和低速服务器(大容量)配合使用。 In the Web application, the huge amount of data, in order to take into account the capacity and speed, often high-speed servers (small volume) and the low server (large capacity) with the use. 高速服务器只保存最近最常用的内容, 性能较高。 High-speed server saves only the most recent popular content, the higher the performance. 低速服务器保存所有内容,但响应速度慢。 Low-speed servers to save all the content, but the response is slow. 客户的数据流量一般先由高速服务器处理,但当出现如下情况时,低速服务器将会被使用:1、高速服务器不可用。 Customer data traffic typically start with a high-speed processing server, but when a case occurs, the server will be used low: 1, high-speed server is unavailable. 2、在高速服务器上找不到相应数据,此时,高速服务器会先到低速服务器上取回相应数据,然后对客户请求做出响应。 2, the server can not be found in the corresponding high speed data, this time, the server retrieves a corresponding high-speed data on the low speed first to the server, and then responds to client requests. 通常的负载均衡方法在解决如上Web数据流量分配时,存在如下一些不足之处:1、上述三种负载均衡策略都可能将同样内容的访问分配到不同的高速服务器上,结果就导致所有高速服务器上存储大量重复数据,大大降低了高速服务器的存储总容量,从而导致服务性能下降。 The usual load balancing methods in solving the above Web traffic data allocation, there are some shortcomings as follows: 1, the three load balancing strategies are likely to be assigned to access the same content to different high-speed servers, the results lead to all high-speed servers store large amounts of data on the duplicate, greatly reduces the overall storage capacity of the high-speed servers, resulting in service performance degradation. 例如每台高速服务器有100G的容量,五台高速服务器总共的容量本来应该有500G。 For example, each server has a capacity of 100G high-speed, five-speed server should have had a total capacity of 500G. 但是由于冗余数据的存在,它们所包含的不同数据将会远小于500G。 However, due to redundant data, different data they contain will be much less than 500G. 最坏的情况(即所有数据都相同),五台服务器加起来只有100G不同数据! The worst case (that is, all data are the same), only add up to five servers 100G different data! 除此之外的内容都在后备的低速服务器上,需要由高速服务器临时从低速服务器上读取。 In addition to all the content in the low-speed backup server, you need to temporarily read by the high-speed servers from the low-speed server. 这样一方面严重影响了服务速度,同时也没有能够充分利用多台高速服务器的容量。 On the one hand this has seriously affected the speed of service, but was not able to fully utilize the capacity of multiple high-speed servers. 2、当一个高速服务器出现短暂故障后,上述负载均衡策略会将原来到其上的流量转到其它高速服务器或者后备服务器上,但当这个高速服务器恢复之后,这些流量并不一定能再次分配回来。 2, when a brief high-speed server failure, the load balancing strategy will be to the original flow on which go to the other high-speed server or backup server, but when the high-speed server recovery, these flows are not necessarily assigned to come back again . 这样一方面数据流量的持续和可恢复性就得不到保证,另一方面恢复后的高速服务器将很难正常参与到数据处理中来,从而降低了它的使用率。 So that one continuous data traffic and recoverability can not be guaranteed, on the other hand after a high-speed server recovery will be very difficult to participate in normal data processing in the past, thus reducing its usage. 3、轮循均衡策略适合于平均Web 访问时间相对均衡的情况。 3, Round Robin strategy is suitable for the average Web access time is relatively balanced situation. 但由于每一次访问在Web停留的时间差异有可能是非常大的,因此,随着工作时间加长,每一台服务器上的进程可能会产生极大的差异,简单的轮循不能保证真正意义上的均衡。 However, due to the time difference in each visit Web staying there may be very large, therefore, with the increase in working time, processes on each server could have a drastic difference, a simple round robin does not guarantee the true sense balanced. 发明内容针对上述问题,本发明的目的是提供一种基于URL的网络流量快速分配方法, 使得网络流量能够均匀分配到多台服务器上,并且解决以往负载均衡策略中服务器的数据存储冗余和丢失数据不可恢复的弊病。 SUMMARY In view of the above problems, an object of the present invention is to provide a rapid distribution of network traffic based on the URL, so that network traffic can be evenly distributed to multiple servers, and to solve the conventional data storage redundancy in the server load balancing strategy and loss data ills can not be restored. 为实现上述目的,本发明采取以下技术方案: 一种网络流量快速分配方法,其包括以下步骤:l)定义若干个高速服务器组,并将各个高速服务器组以名称排序或指定次序填入散列表;2)定义一个或一个以上后备服务器组;3)收到客户请求时,从中提取出URL; 4)使用散列算法,根据URL,计算出关键值;5)用散列表有效项个数对key值取模,然后根据得到的模数从散列表中找到对应的服务器组;6)将客户请求分配到找到的服务器组中。 To achieve the above object, the present invention adopts the following technical solution: A rapid method for allocating network traffic, comprising the steps of: L) defines a plurality of high-speed server groups, and each group name server is a high speed or the specified sort order hash table is filled ; 2) define one or more backup server group; 3) upon receiving the client request, extracts the URL; 4) using a hashing algorithm, the key value according to the URL, is calculated; 5) with the number of valid entries of the hash table modulo key value, and then find the corresponding server groups from the hash table according to the modulus obtained; 6) assigned to a client requests a server in the group found. 在执行步骤5)时,利用如下取模公式:key % n = m,其中n为散列表有效项个数,m是服务器的编号。 When performing step 5), using the following equation modulo: key% n = m, where n is the number of valid entries hash table, m is the number of servers. 在执行步骤4)时,定期对各个高速服务器组进行健康检查,健康检查是负载均衡设备将自身模拟为一虚拟客户,间断向各个高速服务器组发送请求,检査各个高速服务器组状态。 When performing step 4), for each high-speed periodic health examination server groups, health check load balancing device itself as a simulated virtual client sends a request to each of the high-speed intermittent group server, checks the status of each group of high-speed servers. 当健康检查显示其中一个高速服务器组已经失效,则将客户请求分配到后备服务器组。 When health examination revealed one of the high-speed server group has failed, then the client requests assigned to the backup server group. 当健康检査显示所述高速服务器组已经恢复正常,则客户请求重新分配到所述高速服务器组。 When the health check of the display group has returned to normal high-speed server, the client requests a high-speed re-assigned to the server group. 由于采用了以上技术方案,本发明具有了下列优点:1、本发明在负载均衡中利用智能散列算法的特性,将概率上大致相同多的请求或任务量分配给每一台服务器,因此保证了网络流量的均匀分配。 With the above technical solution, the present invention has the following advantages: 1, characteristic of the present invention is the use of intelligent hashes in the load balancing algorithm, the probability distribution substantially the same amount of multi-task or a request to each server, thus ensuring uniform distribution of network traffic. 2、本发明通过智能散列函数的使用,相4较于其它字符串处理方式,具有快速高效査找的特点。 2, the present invention is through the use of intelligent hash function, compared with 4 other features string processing mode, a fast and efficient lookup. 3、本发明可以最大化利用服务器容量,使每个服务器组为不同的访问内容服务,各个服务器组中的服务器将会存储完全不同的内容,使得能够提供的内容总量为各服务器组容量之和,从而最充分的利用了机器的数据空间。 3, the present invention can maximize the capacity of servers, each server group different access content service, each server in the server group will be stored entirely different content, such that the total amount of content can provide the capacity for the server group and thus the fullest use of the data space of the machine. 4、本发明由于利用智能散列函数每次对同一URL求出的关键值(key)都相同的特性,因此很好地保证了相同URL的数据流量永远会被分配到同一个组里的同一台服务器上,保障了服务的保持性。 4, since the present invention is intelligent hash function each time the same key value obtained URL (key) have the same characteristics, and therefore ensure a good flow of the data will always be the same URL assigned to the same group in the same on the server, to protect the retention services. 5、本发明与后备服务器组相配合,当某服务器组不可用时由后备服务器组提供服务;当此服务器组恢复正常后,原有的流量又会返回,从而保证了服务器组的可恢复性, 使得短暂故障的服务器恢复后马上被派上用场。 5, the present invention cooperating with the backup server group, when a server is unavailable group served by the standby server group; when this server group returned to normal, the flow rate will return to the original, thus ensuring the recoverability of the server group, after making a brief failure of the server to be restored immediately come in handy. 附图说明图1是本发明的一个典型应用环境实例示意图具体实施方式本发明的基本思路为:1、把所有高速服务器和低速服务器根据需要分成若干个服务器组,每个服务器组可以根据需要包含一个或多个相同性能的服务器,这些服务器组中包含一个后备服务器组。 BRIEF DESCRIPTION OF DRAWINGS FIG. 1 is a typical example of the application environment of the invention DETAILED DESCRIPTION The basic idea of ​​a schematic diagram of the present invention are: 1, the low-speed and high-speed servers all servers into groups according to need several servers, each server group can contain as needed one or more identical performance servers, which group contains a backup server group. 2、使用已有技术中的智能散列函数根据客户访问的URL计算出唯一的key值。 2, a unique key value is calculated based on the URL to access the customer's use of the prior art intelligent hash function. 3、采用某种方法(在实施例里将会做详细说明)将key值与已经编号的服务器组对应起来,从而达到将含有具体URL的数据请求发送到相应服务器上的目的。 3, a method is used (in the embodiment will be described in detail in the embodiment) corresponding to the key value together with the number of servers has been set, so as to achieve the specific data containing the URL request is sent to the appropriate server. 4、采用网络技术对每个服务器组中的每台服务器定期做健康检查,从而实时地掌握服务器工作状态的信息。 4, the use of network technology for each server in each server group to do regular health checks, real-time access to information in order to server operating conditions. 5、当某台服务器经过健康检査被认为不可用时,后备服务器组中的服务器将会被调用,从而保证客户请求在任何时候都可以被响应。 5, when a server through a health check is deemed unavailable, the backup server in the server group will be called, so as to ensure customer requests can be responded to at any time. 本发明对于URL的内容、格式等没有任何限制和要求。 The present invention has no restrictions and requirements for the content of the URL format. 下面结合附图和实施例,对本发明进行详细的描述。 In conjunction with the accompanying drawings and the following embodiments, the present invention will be described in detail. 基于上述的基本思路,本发明包括以下步骤:1)如图1所示,定义若干个高速服务器组和后备服务器组:①定义若干个高速服务器组:本实施例一共定义三个高速服务器组——第1组、第2组、第3组,每组中可以包括若干个高速服务器,并将服务器组填入散列表,以服务器组名称排序,本实施例中散列表的有效项个数为3,内容为:<table>table see original document page 5</column></row> <table>②定义一个后备服务器组:后备服务器组也可以包括若干个服务器。 Based on the aforementioned basic idea, the present invention comprises the following steps: 1) shown in Figure 1, define several high speed server and the standby server group groups: ① high-speed servers define several groups: the present embodiment, a total of three high-speed servers defined groups - - group 1, group 2, group 3, each group may include several high-speed servers, server groups and the hash table is filled, to the server group names sorted, the number of valid entries in the hash table according to the present embodiment is the embodiment 3, content: <table> table see original document page 5 </ column> </ row> <table> ② define a backup server group: group backup server may also comprise several servers. 2)收到客户请求,根据URL散列快速选择服务器组:①收到客户HTTP请求,从中提取出URL字符串。 2) receipt of customer requests, based on the URL hash quickly select a server group: ① customers received HTTP request, extracts the URL string. 一个HTTP请求都是由明文字符组成的,它分成两大部份:前面是表头,后面是数据,在表头里,有一行关键字符串就是URL (此为本领域的技术人员所公知)。 HTTP requests are a plaintext characters, it is divided into two parts: front of the header, followed by data, in a table in advance, there is a line key character string URL (known to those skilled in this known) . 例如一个客户HTTP请求的字符串为:GET /about/xrld. htm HTTP/1. 0 Accept:image/gif. image/jpeg,*/氺Accept—Language:zh—cn则它的URL字符串为:/about/xrld. htm。 For example, a string of client HTTP request: GET / about / xrld htm HTTP / 1 0 Accept:.. Image / gif image / jpeg, * / Shui Accept-Language:. Zh-cn URL string to it: / about / xrld. htm. ② 根据提取到的URL,使用智能散列算法,计算出key值。 ② according to the extracted URL, using intelligent hash algorithm to calculate the key value. 例如:hash (URL) 二key注意:对于同样的URL,得到的key值永远是一样的。 For example: hash (URL) two key Note: For the same URL, key values ​​obtained will always be the same. 因此它能够将概率上大致相同多的请求或任务量分配给每一台服务器,从而保证了网络流量的均匀分配。 Thus it is possible to assign a probability or substantially the same number of requests to each server assignments, thus ensuring uniform distribution of network traffic. ③ 用散列表有效项个数对key值取模,然后根据得到的模数从散列表中找到对应的服务器组,取模公式为:key % n = m其中n为散列表有效项个数,m是服务器的编号。 ③ with the number of valid entries of the hash key value modulo, and then find the corresponding server groups from the hash table according to the modulus obtained modulo formula: key% n = m where n is the number of valid entries hash table, m is the number of servers. 例如:1、 散歹U函数hash( "/about/xrld. htm,, ) = 101。2、 本实施例定义了三个服务器组,散列表有效项个数为3,这三个服务器组的编号为0, 1, 2。取模操作为:101 % 3 二2,所以该客户请求会被发送给编号为2的服务器组,此处散列表中第2项的内容为第3组,则第3组为对应服务器组。④ 本发明服务器组的健康检查是负载均衡设备将自身模拟为一虚拟客户,间断向高速服务器组发送请求,检査高速服务器组状态,并选择最终使用的服务器组。如果服务器组生效,则使用此服务器组;如果该服务器组已经失效,则使用后备服务器组。当此服务器组恢复正常后,原有的流量又会返回,这是因为根据智能散列算法求出的key值将会被优先使用决定服务器组,从而保证了服务器组的可恢复性,使得短暂故障的服务器恢复后马上被派上用场。例如:1、当第l组服务 For example: 1, U scattered bad function hash ( "/ about / xrld htm ,,.) = 101.2, the present embodiment defines three server groups, the number of valid entries of the hash table 3, the three server group numbered 0, 1, 2. the modulo operation is: 101% 3 = 2, so that the client request is sent to the server group 2 are numbered, where the contents of the hash table entry to the second group of 3, group 3 is the corresponding server group .④ health check server group of the present invention is load balancing apparatus itself as a simulated virtual client, the server intermittently sends a request to the high-speed group, high speed server checks the state of the group, and select the set of final use of the server If the server is set to take effect, use this server group; if the server group has failed, use the backup server group when the server group returned to normal, the flow will return to the original, because based on intelligent algorithm for hashing. a key value will take precedence determined group server, thus ensuring the recoverability server group, such transient fault immediately after recovery server handy example: 1, when the first set of services l 有效时,客户请求被分配到第1组服务器。2、当第1组服务器变为失效后, 同样URL的客户请求会被分配到后备服务器组。3、当第l组服务器再次生效后, 同样URL的客户请求会被重新分配到第1组服务器。上述实施例仅为本发明的一个较佳实施例,在本发明的实质创意范围内,本发明采用的算法可以有许多变化或替换,这些算法的变化或替换都不应排除在本发明的保护范围之外。 When active, client requests are assigned to group 1 .2 server, when the server becomes the first group fails, the client requests the same URL is assigned to the standby server group .3, when the first group of servers l active again, the same client's URL request will be reassigned to group of first server. above embodiment is only a preferred embodiment of the present invention, within the spirit of the creative scope of the present invention, the algorithm employed in the present invention, there may be many variations or alternative, these variations or replacement algorithm should not be excluded from the scope of the present invention.

Claims (5)

1、一种网络流量快速分配方法,其包括以下步骤: 1)定义若干个高速服务器组,并将各个高速服务器组以名称排序或指定次序填入散列表; 2)定义一个或一个以上后备服务器组; 3)收到客户请求时,从中提取出URL; 4)使用散列算法,根据URL,计算出关键值; 5)用散列表有效项个数对key值取模,然后根据得到的模数从散列表中找到对应的服务器组; 6)将客户请求分配到找到的服务器组中。 A rapid method for allocating network traffic, comprising the steps of: 1) high-speed servers define several groups, and each group in a high speed server name specified sort order is filled or hash table; 2) define one or more backup servers group; 3) a client request is received, extracts the URL; 4) using a hashing algorithm, according to the URL, the calculated critical value; 5) with the number of valid entries of the hash table key modulo value, then in accordance with the obtained molding find the corresponding server group number from the hash list; 6) assigned to a client requests a server in the group found.
2、 如权利要求l所述一种网络流量快速分配方法,其特征在于:在执行步骤5)时,利用如下取模公式:key%n = m,其中n为散列表有效项个数,ra是服务器的编号。 2, the fast-l as claimed in network traffic assignment method of claim, wherein: in performing step 5), using the following equation modulo: key% n = m, where n is the number of valid entries hash table, ra is the number of servers.
3、 如权利要求l所述一种网络流量快速分配方法,其特征在于:在执行步骤4)时,定期对各个高速服务器组进行健康检查,健康检査是负载均衡设备将自身模拟为一虚拟客户,间断向各个高速服务器组发送请求,检査各个高速服务器组状态。 When a virtual step 4), for each high-speed periodic health examination server groups, health check load balancing device itself is simulated: 3, as claimed in the fast-l method for allocating traffic network, characterized in that client sends a request to each of the high-speed intermittent group server, checks the status of each group of high-speed servers.
4、 如权利要求3所述一种网络流量快速分配方法,其特征在于:当健康检査显示其中一个高速服务器组已经失效,则将客户请求分配到后备服务器组。 4, according to claim 3 of network traffic requires fast assignment method, comprising: when a health examination showed a high speed server in which the group has failed, then the backup server assigned to the client request group.
5、 如权利要求3所述一种网络流量快速分配方法,其特征在于:当健康检査显示所述高速服务器组已经恢复正常,则客户请求重新分配到所述高速服务器组。 5, according to claim 3 of network traffic requires fast assignment method, wherein: when the health check of the display group has returned to normal high-speed server, the client requests a high-speed re-assigned to the server group.
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Publication number Priority date Publication date Assignee Title
WO2011063718A1 (en) * 2009-11-24 2011-06-03 华为技术有限公司 Method, system and load equalizer apparatus for processing request messages
CN102201031A (en) * 2010-03-24 2011-09-28 微软公司 Request-based service health modeling
CN102263828A (en) * 2011-08-24 2011-11-30 北京蓝汛通信技术有限责任公司 An equalization method and apparatus for dispensing a load
CN102402394A (en) * 2010-09-13 2012-04-04 腾讯科技(深圳)有限公司 Hash algorithm-based data storage method and device
CN102571742A (en) * 2010-09-30 2012-07-11 瑞科网信科技有限公司 System and method to balance servers based on server load status
CN101631139B (en) 2009-05-19 2012-11-14 华耀(中国)科技有限公司 Load balancing software architecture based on multi-core platform and method therefor
CN102882939A (en) * 2012-09-10 2013-01-16 北京蓝汛通信技术有限责任公司 Load balancing method, load balancing equipment and extensive domain acceleration access system
CN102902676A (en) * 2011-07-26 2013-01-30 阿里巴巴集团控股有限公司 Information processing method and information processing equipment
CN102984278A (en) * 2012-12-17 2013-03-20 北京奇虎科技有限公司 System and method for realizing browser data synchronization
CN103024049A (en) * 2012-12-17 2013-04-03 北京奇虎科技有限公司 System capable of achieving browser data synchronization
CN103024052A (en) * 2012-12-17 2013-04-03 北京奇虎科技有限公司 System and method for achieving browser data synchronization
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CN103064899A (en) * 2012-12-17 2013-04-24 北京奇虎科技有限公司 Issued information database
CN103580988A (en) * 2012-07-31 2014-02-12 阿里巴巴集团控股有限公司 Method for message receiving, pushing and transmitting, device, server group and system
CN103905332A (en) * 2012-12-31 2014-07-02 华为技术有限公司 Method and device for determining caching strategy
CN104301439A (en) * 2014-11-13 2015-01-21 北京国双科技有限公司 Load balancing method, device and system
CN104462598A (en) * 2014-12-31 2015-03-25 江苏中科梦兰电子科技有限公司 Dynamic fast distributing method for application servers
US20150302025A1 (en) * 2014-04-10 2015-10-22 Druva Inc. Pre-Population of Data for Replication of Data Backups
US9253152B1 (en) 2006-10-17 2016-02-02 A10 Networks, Inc. Applying a packet routing policy to an application session
US9270774B2 (en) 2011-10-24 2016-02-23 A10 Networks, Inc. Combining stateless and stateful server load balancing
US9270705B1 (en) 2006-10-17 2016-02-23 A10 Networks, Inc. Applying security policy to an application session
US9338225B2 (en) 2012-12-06 2016-05-10 A10 Networks, Inc. Forwarding policies on a virtual service network
US9386088B2 (en) 2011-11-29 2016-07-05 A10 Networks, Inc. Accelerating service processing using fast path TCP
US9531846B2 (en) 2013-01-23 2016-12-27 A10 Networks, Inc. Reducing buffer usage for TCP proxy session based on delayed acknowledgement
US9602442B2 (en) 2012-07-05 2017-03-21 A10 Networks, Inc. Allocating buffer for TCP proxy session based on dynamic network conditions
US9609052B2 (en) 2010-12-02 2017-03-28 A10 Networks, Inc. Distributing application traffic to servers based on dynamic service response time
US9705800B2 (en) 2012-09-25 2017-07-11 A10 Networks, Inc. Load distribution in data networks
US9843484B2 (en) 2012-09-25 2017-12-12 A10 Networks, Inc. Graceful scaling in software driven networks
US9900252B2 (en) 2013-03-08 2018-02-20 A10 Networks, Inc. Application delivery controller and global server load balancer
US9906422B2 (en) 2014-05-16 2018-02-27 A10 Networks, Inc. Distributed system to determine a server's health
US9942152B2 (en) 2014-03-25 2018-04-10 A10 Networks, Inc. Forwarding data packets using a service-based forwarding policy
US9942162B2 (en) 2014-03-31 2018-04-10 A10 Networks, Inc. Active application response delay time
US9960967B2 (en) 2009-10-21 2018-05-01 A10 Networks, Inc. Determining an application delivery server based on geo-location information
US9979801B2 (en) 2011-12-23 2018-05-22 A10 Networks, Inc. Methods to manage services over a service gateway
US9986061B2 (en) 2014-06-03 2018-05-29 A10 Networks, Inc. Programming a data network device using user defined scripts
US9992107B2 (en) 2013-03-15 2018-06-05 A10 Networks, Inc. Processing data packets using a policy based network path
US9992229B2 (en) 2014-06-03 2018-06-05 A10 Networks, Inc. Programming a data network device using user defined scripts with licenses
US10002141B2 (en) 2012-09-25 2018-06-19 A10 Networks, Inc. Distributed database in software driven networks
US10021174B2 (en) 2012-09-25 2018-07-10 A10 Networks, Inc. Distributing service sessions
US10027761B2 (en) 2013-05-03 2018-07-17 A10 Networks, Inc. Facilitating a secure 3 party network session by a network device
US10038693B2 (en) 2013-05-03 2018-07-31 A10 Networks, Inc. Facilitating secure network traffic by an application delivery controller
US10044582B2 (en) 2012-01-28 2018-08-07 A10 Networks, Inc. Generating secure name records
US10129122B2 (en) 2014-06-03 2018-11-13 A10 Networks, Inc. User defined objects for network devices
US10230770B2 (en) 2013-12-02 2019-03-12 A10 Networks, Inc. Network proxy layer for policy-based application proxies
USRE47296E1 (en) 2006-02-21 2019-03-12 A10 Networks, Inc. System and method for an adaptive TCP SYN cookie with time validation
US10243791B2 (en) 2015-08-13 2019-03-26 A10 Networks, Inc. Automated adjustment of subscriber policies

Cited By (67)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
USRE47296E1 (en) 2006-02-21 2019-03-12 A10 Networks, Inc. System and method for an adaptive TCP SYN cookie with time validation
US9253152B1 (en) 2006-10-17 2016-02-02 A10 Networks, Inc. Applying a packet routing policy to an application session
US9497201B2 (en) 2006-10-17 2016-11-15 A10 Networks, Inc. Applying security policy to an application session
US9270705B1 (en) 2006-10-17 2016-02-23 A10 Networks, Inc. Applying security policy to an application session
CN101631139B (en) 2009-05-19 2012-11-14 华耀(中国)科技有限公司 Load balancing software architecture based on multi-core platform and method therefor
US9960967B2 (en) 2009-10-21 2018-05-01 A10 Networks, Inc. Determining an application delivery server based on geo-location information
US9357028B2 (en) 2009-11-24 2016-05-31 Huawei Technologies Co., Ltd. Method and system for processing request message, and load balancer device
WO2011063718A1 (en) * 2009-11-24 2011-06-03 华为技术有限公司 Method, system and load equalizer apparatus for processing request messages
CN102201031A (en) * 2010-03-24 2011-09-28 微软公司 Request-based service health modeling
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US9058252B2 (en) 2010-03-24 2015-06-16 Microsoft Technology Licensing, Llc Request-based server health modeling
US9104676B2 (en) 2010-09-13 2015-08-11 Tencent Technology (Shenzhen) Company Limited Hash algorithm-based data storage method and system
CN102402394A (en) * 2010-09-13 2012-04-04 腾讯科技(深圳)有限公司 Hash algorithm-based data storage method and device
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US9961135B2 (en) 2010-09-30 2018-05-01 A10 Networks, Inc. System and method to balance servers based on server load status
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US10178165B2 (en) 2010-12-02 2019-01-08 A10 Networks, Inc. Distributing application traffic to servers based on dynamic service response time
US9609052B2 (en) 2010-12-02 2017-03-28 A10 Networks, Inc. Distributing application traffic to servers based on dynamic service response time
US9961136B2 (en) 2010-12-02 2018-05-01 A10 Networks, Inc. Distributing application traffic to servers based on dynamic service response time
CN102902676A (en) * 2011-07-26 2013-01-30 阿里巴巴集团控股有限公司 Information processing method and information processing equipment
CN102902676B (en) * 2011-07-26 2015-08-26 阿里巴巴集团控股有限公司 A method and apparatus for processing message
CN102263828A (en) * 2011-08-24 2011-11-30 北京蓝汛通信技术有限责任公司 An equalization method and apparatus for dispensing a load
US9270774B2 (en) 2011-10-24 2016-02-23 A10 Networks, Inc. Combining stateless and stateful server load balancing
US9906591B2 (en) 2011-10-24 2018-02-27 A10 Networks, Inc. Combining stateless and stateful server load balancing
US9386088B2 (en) 2011-11-29 2016-07-05 A10 Networks, Inc. Accelerating service processing using fast path TCP
US9979801B2 (en) 2011-12-23 2018-05-22 A10 Networks, Inc. Methods to manage services over a service gateway
US10044582B2 (en) 2012-01-28 2018-08-07 A10 Networks, Inc. Generating secure name records
US9602442B2 (en) 2012-07-05 2017-03-21 A10 Networks, Inc. Allocating buffer for TCP proxy session based on dynamic network conditions
CN103580988A (en) * 2012-07-31 2014-02-12 阿里巴巴集团控股有限公司 Method for message receiving, pushing and transmitting, device, server group and system
CN103580988B (en) * 2012-07-31 2017-10-17 阿里巴巴集团控股有限公司 Receiving a message, a push, a transmission method, apparatus and system for the server group
CN102882939A (en) * 2012-09-10 2013-01-16 北京蓝汛通信技术有限责任公司 Load balancing method, load balancing equipment and extensive domain acceleration access system
CN102882939B (en) * 2012-09-10 2015-07-22 北京蓝汛通信技术有限责任公司 Load balancing method, load balancing equipment and extensive domain acceleration access system
US9705800B2 (en) 2012-09-25 2017-07-11 A10 Networks, Inc. Load distribution in data networks
US9843484B2 (en) 2012-09-25 2017-12-12 A10 Networks, Inc. Graceful scaling in software driven networks
US10002141B2 (en) 2012-09-25 2018-06-19 A10 Networks, Inc. Distributed database in software driven networks
US10021174B2 (en) 2012-09-25 2018-07-10 A10 Networks, Inc. Distributing service sessions
US9544364B2 (en) 2012-12-06 2017-01-10 A10 Networks, Inc. Forwarding policies on a virtual service network
US9338225B2 (en) 2012-12-06 2016-05-10 A10 Networks, Inc. Forwarding policies on a virtual service network
CN103024052B (en) * 2012-12-17 2016-08-10 北京奇虎科技有限公司 Realization browser data synchronization system and method
CN103024049A (en) * 2012-12-17 2013-04-03 北京奇虎科技有限公司 System capable of achieving browser data synchronization
CN103036990A (en) * 2012-12-17 2013-04-10 北京奇虎科技有限公司 Browser client
CN103064899A (en) * 2012-12-17 2013-04-24 北京奇虎科技有限公司 Issued information database
CN103024049B (en) * 2012-12-17 2016-03-30 北京奇虎科技有限公司 Synchronize browser data system
CN103024052A (en) * 2012-12-17 2013-04-03 北京奇虎科技有限公司 System and method for achieving browser data synchronization
CN102984278A (en) * 2012-12-17 2013-03-20 北京奇虎科技有限公司 System and method for realizing browser data synchronization
CN103905332B (en) * 2012-12-31 2017-06-09 华为技术有限公司 A method for determining the caching strategy and equipment
CN103905332A (en) * 2012-12-31 2014-07-02 华为技术有限公司 Method and device for determining caching strategy
WO2014101894A1 (en) * 2012-12-31 2014-07-03 华为技术有限公司 Method and device for determining caching policy
US9531846B2 (en) 2013-01-23 2016-12-27 A10 Networks, Inc. Reducing buffer usage for TCP proxy session based on delayed acknowledgement
US9900252B2 (en) 2013-03-08 2018-02-20 A10 Networks, Inc. Application delivery controller and global server load balancer
US9992107B2 (en) 2013-03-15 2018-06-05 A10 Networks, Inc. Processing data packets using a policy based network path
US10038693B2 (en) 2013-05-03 2018-07-31 A10 Networks, Inc. Facilitating secure network traffic by an application delivery controller
US10027761B2 (en) 2013-05-03 2018-07-17 A10 Networks, Inc. Facilitating a secure 3 party network session by a network device
US10230770B2 (en) 2013-12-02 2019-03-12 A10 Networks, Inc. Network proxy layer for policy-based application proxies
US9942152B2 (en) 2014-03-25 2018-04-10 A10 Networks, Inc. Forwarding data packets using a service-based forwarding policy
US10257101B2 (en) 2014-03-31 2019-04-09 A10 Networks, Inc. Active application response delay time
US9942162B2 (en) 2014-03-31 2018-04-10 A10 Networks, Inc. Active application response delay time
US9747163B2 (en) * 2014-04-10 2017-08-29 Druva Technologies Pte. Ltd. Pre-population of data for replication of data backups
US20150302025A1 (en) * 2014-04-10 2015-10-22 Druva Inc. Pre-Population of Data for Replication of Data Backups
US9906422B2 (en) 2014-05-16 2018-02-27 A10 Networks, Inc. Distributed system to determine a server's health
US10129122B2 (en) 2014-06-03 2018-11-13 A10 Networks, Inc. User defined objects for network devices
US9992229B2 (en) 2014-06-03 2018-06-05 A10 Networks, Inc. Programming a data network device using user defined scripts with licenses
US9986061B2 (en) 2014-06-03 2018-05-29 A10 Networks, Inc. Programming a data network device using user defined scripts
CN104301439A (en) * 2014-11-13 2015-01-21 北京国双科技有限公司 Load balancing method, device and system
CN104462598A (en) * 2014-12-31 2015-03-25 江苏中科梦兰电子科技有限公司 Dynamic fast distributing method for application servers
CN104462598B (en) * 2014-12-31 2018-10-09 江苏中科梦兰电子科技有限公司 An application server dynamic fast allocation method
US10243791B2 (en) 2015-08-13 2019-03-26 A10 Networks, Inc. Automated adjustment of subscriber policies

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