CN104702664B - Method and system for controlling task server - Google Patents
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- CN104702664B CN104702664B CN201410840955.8A CN201410840955A CN104702664B CN 104702664 B CN104702664 B CN 104702664B CN 201410840955 A CN201410840955 A CN 201410840955A CN 104702664 B CN104702664 B CN 104702664B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1004—Server selection for load balancing
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1004—Server selection for load balancing
- H04L67/1008—Server selection for load balancing based on parameters of servers, e.g. available memory or workload
Abstract
The invention discloses a method and a system for controlling a task server, wherein the method comprises the following steps: when the central control server receives a trigger instruction, acquiring server information stored in local, wherein the server information comprises the current state of a task server and the time required by the task server to execute a task; judging whether a task server with the current state being an idle state exists according to the server information; if yes, determining that the time required for executing the task belongs to the task servers within a first preset time range in the task servers in the idle state and defining the time as a first set; tasks that need to be performed are assigned to the task servers in the first set. Through the mode, the load of the task server can be automatically balanced, so that resources are effectively utilized, and the service quality is guaranteed.
Description
Technical Field
The invention relates to the technical field of control systems, in particular to a method and a system for controlling a task server.
Background
Before entering the market, the smart terminal needs to perform various tests. Nowadays, intelligent terminals have more and more functions, more and more items to be tested, and more servers for compiling and testing are required.
In the existing market, the brands of the servers for testing are not uniform, the performance of the servers is different, and when the servers are tested, testing tasks are distributed to the testing servers in an artificial mode, so that the loads of some testing servers are too heavy, the running is slow, even the servers die, the loads of some testing servers are too low, even the servers are idle, and the conditions that the loads are unbalanced and resources are not effectively utilized are caused.
Disclosure of Invention
The invention mainly solves the technical problem of providing a method and a system for controlling a task server, which can automatically balance the load of the task server, thereby effectively utilizing resources and ensuring the service quality.
In order to solve the technical problems, the invention adopts a technical scheme that: there is provided a method of controlling a task server, the method comprising: when receiving a trigger instruction, the central control server acquires server information stored locally, wherein the server information comprises the current state of a task server and the time required by the task server to execute a task; judging whether a task server exists in which the current state of the task server is an idle state or not according to the server information; if yes, determining that the time required for executing the task belongs to the task servers within a first preset time range in the task servers in the idle state and defining the time as a first set; and distributing the tasks to be executed to the task servers in the first set.
Wherein the server information further includes a performance of the task server; the step of allocating the tasks to be executed to the task servers in the first set comprises: determining a second set of task servers of which the performance meets a preset requirement from the first set; the step of allocating the tasks to be executed to the task servers in the first set includes: and distributing the tasks to be executed to the task servers in the second set.
After the step of determining whether there is a task server in which the current state of the task server is an idle state according to the server information, the method further includes: if not, determining a third set of task servers to be in an idle state in a second preset time in the task servers in the non-idle state; and enabling the tasks needing to be executed to enter the waiting program of the task server in the third set.
Wherein the method further comprises: after the task server completes the execution of the task, the current server information of the task server is sent to the central control server; and the central control server receives the current own server information sent by the task server and replaces the server information of the previous task server with the received server information of the task server.
Wherein the method further comprises: the central control server counts the time required by the task server to execute the task, obtains the average time required by the task server to execute the task, and is convenient for determining the time that the task server executing the task is to be in an idle state according to the average time required by the task server to execute the task.
In order to solve the technical problem, the invention adopts another technical scheme that: there is provided a system for controlling a task server, the system comprising: a central control server and a task server; the central control server comprises: the acquisition module is used for acquiring server information stored in local when receiving a trigger instruction, wherein the server information comprises the current state of a task server and the time required by the task server to execute a task; the judging module is used for judging whether a task server with the current state being an idle state exists according to the server information; the first determining module is used for determining that the time required for executing the task belongs to the task servers within a first preset time range and is defined as a first set in the task servers in the idle state when the task servers exist in which the current state of the task servers is the idle state; and the distribution module is used for distributing the tasks needing to be executed to the task servers in the first set.
Wherein the server information further includes a performance of the task server; the central control server further comprises: a second determining module, configured to determine, from the first set, a second set of task servers whose performance of the task server meets a predetermined requirement; the distribution module is used for distributing the tasks needing to be executed to the task servers in the second set.
Wherein, the central control server further comprises: and the third determining module is used for determining a third set of task servers to be in an idle state within second preset time in the task servers in the non-idle state when no task server in which the current state of the task server is the idle state exists, and enabling the tasks to be executed to enter a waiting program of the task server in the third set.
Wherein the task server includes: the sending module is used for sending the current server information to the central control server after the task server completes the execution of the task; the central control server further comprises: and the receiving module is used for receiving the current own server information sent by the task server and replacing the server information of the previous task server with the received server information of the task server.
Wherein, the central control server further comprises: and the counting module is used for counting the time required by the task server to execute the task and obtaining the average time required by the task server to execute the task, so that the time that the task server executing the task is to be in an idle state is determined according to the average time required by the task server to execute the task.
The invention has the beneficial effects that: different from the situation of the prior art, the method and the device for processing the task information acquire the server information stored in the local when receiving the trigger instruction, wherein the server information comprises the current state of the task server and the time required by the task server to execute the task; judging whether a task server exists in which the current state of the task server is an idle state or not according to the server information; if yes, determining that the time required for executing the task belongs to the task servers within a first preset time range in the task servers in the idle state and defining the time as a first set; and distributing the tasks to be executed to the task servers in the first set. The method can automatically balance the load of the task server, thereby effectively utilizing resources and ensuring service quality.
Drawings
FIG. 1 is a flow diagram of one embodiment of a method of controlling a task server of the present invention;
FIG. 2 is a flow chart of another embodiment of a method of controlling a task server of the present invention;
FIG. 3 is a flow chart of yet another embodiment of a method of controlling a task server of the present invention;
FIG. 4 is a flow chart of yet another embodiment of a method of controlling a task server of the present invention;
FIG. 5 is a schematic diagram of an embodiment of a system for controlling a task server according to the present invention;
FIG. 6 is a schematic diagram of another embodiment of a system for controlling a task server according to the present invention;
FIG. 7 is a schematic structural diagram of a system for controlling a task server according to another embodiment of the present invention;
fig. 8 is a schematic structural diagram of a system for controlling a task server according to another embodiment of the present invention.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings and embodiments.
Referring to fig. 1, fig. 1 is a flowchart of an embodiment of a method for controlling a task server according to the present invention, including:
step S101: and when receiving the trigger instruction, the central control server acquires server information stored in the local, wherein the server information comprises the current state of the task server and the time required by the task server to execute the task.
And the central control server is used for controlling the task server. The triggering instruction is used for triggering the central control server to implement control, and includes: and when a new task, a task with waiting, or server information updated by a task server is received, the system is considered to receive a trigger instruction.
The central control server locally stores server information of the task servers, the server information is sent to the central control server by each task server, and the server information comprises the current state of the task servers and the time required by the task servers to execute the tasks. The current state of the server includes whether the task server is in an idle state or a task execution state. The time required by the task server to execute the task can be obtained by recording the starting time and the ending time when the task server executes the task.
Step S102: and judging whether a task server with the current state being an idle state exists according to the server information.
According to the current state of the task server in the server information, whether the current state of the task server is an idle state or a non-idle state (namely a task execution state) can be judged, so that whether the task server with the current state of the task server being the idle state exists or not is determined.
Step S103: and if so, determining that the time required for executing the task belongs to the task servers within the first preset time range in the task servers in the idle state, and defining the time as a first set.
The first predetermined time is a time that is acceptable to the user and is required for the task server to perform the task. Generally, the shorter the time required for executing the task, the better, and therefore, the first predetermined time may be predetermined according to the actual application. According to the time required by each task server to execute the task, the fact that the time required by the task execution belongs to the task servers within the first preset time range can be determined, and the time is defined as a first set. Further, a task server that requires the shortest time to execute a task may be selected.
Step S103 is specifically configured to determine, in the task servers in the idle state, that the time required for executing the task belongs to the task servers within the first predetermined time range through the heterogeneous distributed load balancing algorithm, and define the time as a first set.
Heterogeneous distributed load balancing algorithms are a relatively large number of algorithms for uniform load studied in the prior art, such as: the method comprises a dynamic genetic algorithm, an HDLDF algorithm, an HDAL algorithm and the like, particularly in a heterogeneous system with busy service, the HDAL algorithm has the advantages of high resource utilization rate, better load balance and obvious scheduling speed compared with other algorithms.
The central control server mainly carries out comprehensive analysis and selection from the performance index, the task processing capacity, the current state and the current idle task server of each task server, and under the condition that comprehensive analysis factors are more, the busyness of all the task servers can be similar through a heterogeneous distributed load balancing algorithm, particularly an HDAL algorithm, and the task throughput of the whole system can be maximum.
Step S104: tasks that need to be performed are assigned to the task servers in the first set.
And selecting a task server from the first set according to the task condition needing to be executed, and distributing the task to the selected task server.
When receiving a trigger instruction, the embodiment of the invention acquires server information stored in local, wherein the server information comprises the current state of a task server and the time required by the task server to execute a task; judging whether a task server exists in which the current state of the task server is an idle state or not according to the server information; if yes, determining that the time required for executing the task belongs to the task servers within a first preset time range in the task servers in the idle state and defining the time as a first set; and distributing the tasks to be executed to the task servers in the first set. The method can automatically balance the load of the task server, thereby effectively utilizing resources and ensuring service quality.
Referring to fig. 2, when the server information further includes the performance of the task server, before step S104, the method further includes:
step S105: in the first set, a second set of task servers whose performance meets a predetermined requirement is determined. The predetermined requirement is a user acceptable performance requirement, generally speaking, the higher the performance the better.
In this case, step S104 is specifically step S104 a: tasks that need to be performed are assigned to the task servers in the second set.
The second set is a set of task servers selected from the first set, and the task servers in the second set simultaneously meet the time required for executing the task within the first preset time and the performance of the task servers meet the preset requirements. Therefore, tasks to be executed are allocated to the task servers in the second set, and resources can be more effectively used.
Other steps in fig. 2 are shown in fig. 1 and the associated text, which are not described again here.
Referring to fig. 3, after step S102, the method further includes:
step S201: and if not, determining a third set of task servers to be in an idle state within a second preset time in the task servers in the non-idle state.
Step S202: and enabling the tasks needing to be executed to enter the waiting program of the task server in the third set.
When the task server with the current state being the idle state does not exist, the task server is all executing the task and is in the non-idle state. The time required for executing a certain task is basically stable on a certain fixed task server, after the task is distributed to the task server, the time for starting the task to be executed is recorded, the time for finishing the task can be estimated according to the current time and the time required for executing the task, and after the task is executed, the task server is in an idle state. Thus, based on the estimated time for the task to end, a third set of task servers that will be idle for a second predetermined time may be determined. The second predetermined time is also determined according to the requirements of the user, for example: the task to be executed is urgent, the second preset time can select a short time, and the selected task server can finish the execution of the task within the short time and is converted into the task server in an idle state. Further, if the task also requires a task server with a specific performance, it is possible to select a task server that satisfies both the task that can be completed within the short time and the specific performance.
Referring to fig. 4, the method further includes:
step S301: and after the task server finishes the execution of the task, the current server information of the task server is sent to the central control server.
Step S302: and the central control server receives the current own server information sent by the task server and replaces the server information of the previous task server with the received server information of the task server.
After the task server completes the execution of the task, the current server information of the task server is actively sent to the central control server, so that the central control server can master the latest server information of the task server, and further, when the task to be executed exists, the overall consideration can be given to the task server, the load of the task server can be automatically balanced, and the purpose of effectively utilizing resources is achieved.
One of the implementations of the above steps S301 and S302 is as follows: after the task is distributed to the task server from the central control server, the task server is connected with the prepared script before the task is executed and quits, and the script is executed as long as the task is executed or the fault occurs. The script comprises the collected current server information and a function of sending the server information to the central control server, after the central control server receives the server information, the received server information of the task server is used for replacing the server information of the previous task server as long as the server information is updated, and further, the script can be used as a trigger instruction to trigger the central control server to judge whether a waiting task or a new task exists so as to trigger a subsequent program.
Wherein, the method also comprises: the central control server counts the time required by the task server to execute the task, obtains the average time required by the task server to execute the task, and is convenient for determining the time when the task server executing the task is to be in an idle state according to the average time required by the task server to execute the task.
The time required by the task servers to execute each specific task is basically not too same, but the difference is not too large and basically stable, and the central control server can count the average time of each task server to execute the task, so that the ending time can be estimated when the task servers are still executing the task.
Referring to fig. 5, fig. 5 is a schematic structural diagram of an embodiment of a system for controlling a task server according to the present invention, which can perform the corresponding steps in the above method.
The system comprises: a central control server 10 and a task server 20;
the central control server 10 includes: the device comprises an acquisition module 101, a judgment module 102, a first determination module 103 and an allocation module 104.
The obtaining module 101 is configured to obtain server information stored locally when receiving a trigger instruction, where the server information includes a current state of a task server and time required by the task server to execute a task.
The judging module 102 is configured to judge whether there is a task server in which a current state of the task server is an idle state according to the server information.
The first determining module 103 is configured to determine, when there is a task server in which a current state of the task server is an idle state, that a time required to execute a task belongs to a task server within a first predetermined time range among the task servers in the idle state and is defined as a first set.
The first determining module 103 is specifically configured to determine, in the task servers in the idle state, that the time required for executing the task belongs to the task servers within the first predetermined time range through a heterogeneous distributed load balancing algorithm, and define the time as a first set.
The assignment module 104 is configured to assign the tasks to be performed to the task servers in the first set.
When receiving a trigger instruction, the embodiment of the invention acquires server information stored in local, wherein the server information comprises the current state of a task server and the time required by the task server to execute a task; judging whether a task server exists in which the current state of the task server is an idle state or not according to the server information; if yes, determining that the time required for executing the task belongs to the task servers within a first preset time range in the task servers in the idle state and defining the time as a first set; and distributing the tasks to be executed to the task servers in the first set. The method can automatically balance the load of the task server, thereby effectively utilizing resources and ensuring service quality.
Referring to fig. 6, when the server information further includes the performance of the task server,
the central control server 10 further includes: a second determination module 105.
The second determining module 105 is configured to determine, in the first set, a second set of task servers whose performance meets a predetermined requirement;
at this time, the allocating module 104 is specifically configured to allocate the tasks that need to be executed to the task servers in the second set.
Referring to fig. 7, the central control server 10 further includes: a third determination module 106.
The third determining module 106 is configured to determine, when there is no task server whose current state is an idle state, a third set of task servers that are to be in the idle state within a second predetermined time from among the task servers in the non-idle state, and enter a task that needs to be executed into a waiting program of the task server in the third set.
Referring to fig. 8, the task server 20 includes: a sending module 201.
The sending module 201 is configured to send current server information to the central control server after the task server completes execution of the task.
The central control server 10 further includes: a receiving module 107.
The receiving module 107 is configured to receive current server information sent by the task server, and replace the server information of the previous task server with the received server information of the task server.
Wherein, well accuse server still includes: and a counting module.
The counting module is used for counting the time required by the task server to execute the task and obtaining the average time required by the task server to execute the task, so that the time that the task server executing the task is to be in an idle state is determined according to the average time required by the task server to execute the task.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes performed by the present specification and drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (8)
1. A method of controlling a task server, the method comprising:
when receiving a trigger instruction, the central control server acquires server information stored locally, wherein the server information comprises the current state of a task server and the time required by the task server to execute a task;
judging whether a task server exists in which the current state of the task server is an idle state or not according to the server information;
if yes, determining that the time required for executing the task belongs to the task servers within a first preset time range in the task servers in the idle state, and defining the time as a first set;
distributing tasks to be executed to task servers in the first set;
after the task is distributed to the task server, recording the time for starting execution of the task, and estimating the time for ending the task according to the current time and the time required by executing the task;
the central control server counts the time required by the task server to execute the task, obtains the average time required by the task server to execute the task, and is convenient for determining the time that the task server executing the task is to be in an idle state according to the average time required by the task server to execute the task;
the central control server mainly carries out comprehensive analysis and selection from the performance index, the task processing capacity, the current state and the current idle task server of each task server, and makes the busy degree of all the task servers similar through a heterogeneous distributed load balancing algorithm, so that the task throughput of the whole system is maximum;
after the task is distributed to the task server from the central control server, the task server is connected with the prepared script before the task is executed and quits, and the script is executed after the task is executed or in error; the script includes current collected server information and a function of sending the server information to the central control server, and after the central control server receives the server information, when the server information is updated, the received server information of the task server is used for replacing the server information of the previous task server.
2. The method of claim 1, wherein the server information further includes capabilities of the task server;
the step of allocating the tasks to be executed to the task servers in the first set comprises:
determining a second set of task servers of which the performance meets a preset requirement from the first set;
the step of allocating the tasks to be executed to the task servers in the first set includes:
and distributing the tasks to be executed to the task servers in the second set.
3. The method according to claim 1, wherein after the step of determining whether there is a task server in which the current state of the task server is an idle state according to the server information, the method further comprises:
if not, determining a third set of task servers to be in an idle state in a second preset time in the task servers in the non-idle state;
and enabling the tasks needing to be executed to enter the waiting program of the task server in the third set.
4. The method according to any one of claims 1-3, further comprising:
after the task server completes the execution of the task, the current server information of the task server is sent to the central control server;
and the central control server receives the current own server information sent by the task server and replaces the server information of the previous task server with the received server information of the task server.
5. A system for controlling a task server, the system comprising: a central control server and a task server;
the central control server comprises:
the acquisition module is used for acquiring server information stored in local when receiving a trigger instruction, wherein the server information comprises the current state of a task server and the time required by the task server to execute a task;
the judging module is used for judging whether a task server with the current state being an idle state exists according to the server information;
the first determining module is used for determining that the time required for executing the task belongs to the task servers within a first preset time range in the task servers in the idle state when the task servers in the idle state exist in the current state of the task servers, and the time is determined to be a first set;
the distribution module is used for distributing the tasks to be executed to the task servers in the first set;
after the task is distributed to the task server, recording the time for starting execution of the task, and estimating the time for ending the task according to the current time and the time required by executing the task;
the central control server further comprises:
the counting module is used for counting the time required by the task server to execute the task and obtaining the average time required by the task server to execute the task so as to determine the time that the task server executing the task is to be in an idle state according to the average time required by the task server to execute the task;
the central control server mainly carries out comprehensive analysis and selection from the performance index, the task processing capacity, the current state and the current idle task server of each task server, and makes the busy degree of all the task servers similar through a heterogeneous distributed load balancing algorithm, so that the task throughput of the whole system is maximum;
after the task is distributed to the task server from the central control server, the task server is connected with the prepared script before the task is executed and quits, and the script is executed after the task is executed or in error; the script includes current collected server information and a function of sending the server information to the central control server, and after the central control server receives the server information, when the server information is updated, the received server information of the task server is used for replacing the server information of the previous task server.
6. The system of claim 5, wherein the server information further includes capabilities of the task server;
the central control server further comprises:
a second determining module, configured to determine, from the first set, a second set of task servers whose performance of the task server meets a predetermined requirement;
the distribution module is used for distributing the tasks needing to be executed to the task servers in the second set.
7. The system of claim 5, wherein the central server further comprises:
and the third determining module is used for determining a third set of task servers to be in an idle state within second preset time in the task servers in the non-idle state when no task server in which the current state of the task server is the idle state exists, and enabling the tasks to be executed to enter a waiting program of the task server in the third set.
8. The system according to any one of claims 5 to 7,
the task server includes:
the sending module is used for sending the current server information to the central control server after the task server completes the execution of the task;
the central control server further comprises:
and the receiving module is used for receiving the current own server information sent by the task server and replacing the server information of the previous task server with the received server information of the task server.
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Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105224464A (en) * | 2015-11-10 | 2016-01-06 | 浪潮(北京)电子信息产业有限公司 | A kind of parallel automated testing method |
| CN105608531A (en) * | 2015-12-18 | 2016-05-25 | 北京奇虎科技有限公司 | Task dispatching method and device |
| CN106210120B (en) * | 2016-07-29 | 2019-07-09 | 广州南方仕通网络科技有限公司 | A kind of recommended method and its device of server |
| CN108270837B (en) * | 2017-01-04 | 2021-04-30 | 北京京东尚科信息技术有限公司 | Distributed task scheduling method and system using idle resources |
| CN110505278B (en) * | 2019-07-19 | 2021-09-14 | 联想(北京)有限公司 | Data stream processing method, server and computer storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1835453A (en) * | 2005-03-16 | 2006-09-20 | 华为技术有限公司 | Method of realizing load sharing in distributing system |
| CN102073548A (en) * | 2010-12-21 | 2011-05-25 | 北京高森明晨信息科技有限公司 | Method for executing task, and system thereof |
| EP2352083A1 (en) * | 2008-10-17 | 2011-08-03 | Huawei Technologies Co., Ltd. | Method, device and system for enhancing script-based application reliability |
| CN102622275A (en) * | 2012-04-19 | 2012-08-01 | 吴常国 | Load balancing realization method in cloud computing environment |
| CN103036979A (en) * | 2012-12-12 | 2013-04-10 | 广州尚融网络科技有限公司 | Server loading balancing method and loading balancer |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9071609B2 (en) * | 2012-10-08 | 2015-06-30 | Google Technology Holdings LLC | Methods and apparatus for performing dynamic load balancing of processing resources |
-
2014
- 2014-12-29 CN CN201410840955.8A patent/CN104702664B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1835453A (en) * | 2005-03-16 | 2006-09-20 | 华为技术有限公司 | Method of realizing load sharing in distributing system |
| EP2352083A1 (en) * | 2008-10-17 | 2011-08-03 | Huawei Technologies Co., Ltd. | Method, device and system for enhancing script-based application reliability |
| CN102073548A (en) * | 2010-12-21 | 2011-05-25 | 北京高森明晨信息科技有限公司 | Method for executing task, and system thereof |
| CN102622275A (en) * | 2012-04-19 | 2012-08-01 | 吴常国 | Load balancing realization method in cloud computing environment |
| CN103036979A (en) * | 2012-12-12 | 2013-04-10 | 广州尚融网络科技有限公司 | Server loading balancing method and loading balancer |
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