CN103279385A - Method and system for scheduling cluster tasks in cloud computing environment - Google Patents
Method and system for scheduling cluster tasks in cloud computing environment Download PDFInfo
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Abstract
The invention discloses a method and a system for scheduling cluster tasks in a cloud computing environment. The method includes steps that S1, a user operates on a management terminal, one or a plurality of cluster tasks are carried out by the aid of operation of a controller, and all the tasks are added into a task pool module; S2, the tasks in the task pool module are classified and decomposed by a task classification and analysis module; S3, decomposed tasks are added into a task queue module by a controller module; S4, a resource scheduling module takes out the tasks from the task queue module and schedules resources, and the tasks are scheduled to be executed by specified nodes; and S5, the target nodes execute the decomposed tasks and feed execution results to the controller module. The method and the system have the advantages that the tasks can be efficiently scheduled, and reliable running of a cluster system is guaranteed.
Description
Technical field
The present invention relates to the computer information technology field, particularly cluster task dispatching method and system in a kind of cloud computing environment.
Background technology
Cloud computing can be made up of with the resource that is virtualized by dynamic update a series of, these resources are shared by the user of all cloud computings and can be easily by accesss to netwoks, the user need not to grasp the technology of cloud computing, only need lease the resource of cloud computing according to the needs of individual or group.
Cluster (cluster) technology is a kind of newer technology, by Clustering, can obtain in the higher relatively income aspect performance, reliability, the dirigibility paying under the situation of lower cost, and its task scheduling then is the core technology in the group system.Cluster be one group separate, by the interconnected computing machine of express network, they have constituted a group, and are managed with the pattern of triangular web.When client and cluster interacted, cluster similarly was an independently server.
Distributed Calculation is a computer science, the problem how its research could solve a very huge computing power of needs is divided into many little parts, then these parts are distributed to many computing machines and handle, these result of calculations are integrated obtain final result at last.
Task scheduling has different describing methods in different fields, and generally in distributed system, the fundamental element that constitutes scheduling has three, i.e. concurrent application, certain strategy of resource system and application call resource institute foundation and rule.Scheduling problem is exactly on the basis of satisfying concurrent application and resource system constraint condition, designs an efficient scheduling system and manages application program and how to call these resources, and make the total system performance index reach optimum or near-optimization.Task scheduling problem in the distributed system is exactly according to certain scheduling rule and scheduling strategy, a group job of a group task of forming concurrent program or formation operating load, be assigned on a plurality of computing nodes in the system, in the hope of obtaining system's feasibility preferably according to certain execution sequential.
Summary of the invention
The object of the present invention is to provide the method and system of cluster task scheduling in a kind of cloud computing environment, in order to realize task scheduling efficiently, ensure the reliability service of group system, prerequisite is under distributed computing environment, system is made up of a plurality of calculating nodes, if do not consider to calculate the performance difference between node, each calculates node can both carry out corresponding task.
According to an aspect of the present invention, provide cluster task dispatching method in a kind of cloud computing environment, may further comprise the steps:
S1, user operate at management end, utilize the controller module operation to carry out one or more cluster tasks, and task all is added in the task pool module;
S2, classification of task parsing module are classified to the task in the task pool module and are decomposed;
Task after S3, controller module will decompose adds the task queue module;
S4, scheduling of resource module are carried out scheduling of resource from task queue module taking-up task, and task scheduling is carried out to specified node;
S5, destination node are carried out the task after decomposing, and execution result is fed back to controller module.
Preferably, described classification of task parsing module is classified to the task in the task pool module according to task identification.
Preferably, described scheduling of resource module is taken out task with first in first out from the task queue module.
Preferably, could carry out after other task executions are finished if certain task depends on, then this task is waited in formation, has the task of dependence just to carry out the task scheduling execution after the task on the target computing node is complete.
Preferably, if the task after decomposing is a plurality of tasks that dependence is arranged, then execution result can be fed back respectively, having only all task action result all is successfully, could be set to success by originating task, if the previous tasks of dependence task is carried out failure, then follow-up work directly is arranged to failure and is removed from formation, and originating task is set to failure.
According to a further aspect in the invention, provide cluster task dispatching system in a kind of cloud computing environment, having comprised:
Controller module is used for receiving the user in the operation of management end, and one or more cluster tasks are carried out in operation, and task all is added in the task pool module; Task after the decomposition of classification of task parsing module is added in the task queue module; The receiving target node is carried out the task action result of decomposing the back task;
The task pool module is used for receiving the cluster task that controller module distributes;
The classification of task parsing module is for the task in the task pool module being classified and decomposing;
The task queue module is used under the control of controller module, receives the task after the classification of task parsing module decomposes;
The scheduling of resource module is used for carrying out scheduling of resource from task queue module taking-up task, and task scheduling is carried out to specified node.
Preferably, described classification of task parsing module is classified to the task in the task pool module according to task identification.
Preferably, described scheduling of resource module is taken out task with first in first out from the task queue module.
Preferably, could carry out after other task executions are finished if certain task depends on, then this task is waited in formation, has the task of dependence just to carry out the task scheduling execution after the task on the target computing node is complete.
Preferably, if the task after decomposing is a plurality of tasks that dependence is arranged, then execution result can be fed back respectively, having only all task action result all is successfully, could be set to success by originating task, if the previous tasks of dependence task is carried out failure, then follow-up work directly is arranged to failure and is removed from formation, and originating task is set to failure.
Description of drawings
Fig. 1 illustration cluster task dispatching method process flow diagram in a kind of cloud computing environment of providing of the embodiment of the invention;
Fig. 2 illustration the structural drawing of cluster task dispatching system in a kind of cloud computing environment of providing of the embodiment of the invention.
Embodiment
For above-mentioned purpose of the present invention, feature and advantage are become apparent more, the present invention is further detailed explanation below in conjunction with the drawings and specific embodiments.
Cluster task dispatching method in a kind of cloud computing environment that the embodiment of the invention provides may further comprise the steps:
S1, user operate at management end, utilize the controller module operation to carry out one or more cluster tasks, and task all is added in the task pool module;
S2, classification of task parsing module are classified to the task in the task pool module and are decomposed;
Wherein, for empty, can there be one or more tasks simultaneously when having task in the task pool module.Preferably, the classification of task parsing module is classified to the task in the task pool module according to task identification, it is the rule that the classification of task parsing module preestablishes task type identification and decomposes, decompose according to the task names task that identifies to carry out the classification back, according to decomposition rule task is decomposed, the task of decomposing is that one or more can specifically allowing carried out the specific tasks that destination host is carried out, if the task after decomposing is a plurality of subtasks, these a plurality of tasks of generalized case have dependence, and whether the execution of next task will rely on a task complete;
Task after S3, controller module will decompose adds the task queue module;
Wherein, if the user constantly assigns a task, after will constantly being decomposed, the task after the decomposition joins in the formation to be scheduled;
S4, scheduling of resource module are carried out scheduling of resource from task queue module taking-up task, and task scheduling is carried out to specified node;
Preferably, the scheduling of resource module is first in first out from the base rule of task queue module taking-up task;
Preferably, could carry out after other task executions are finished if certain task depends on, then this task is waited in formation, has the task of dependence just to carry out the task scheduling execution after the task on the target computing node is complete;
S5, destination node are carried out the task after decomposing, and execution result is fed back to controller module.
Preferably, if the task action result success, then controller module arranges success with originating task, if the task action result failure, then controller module is arranged to failure with originating task, and the executing state of originating task feeds back to the user at last.
Preferably, if the task after decomposing is a plurality of tasks that dependence is arranged, then execution result can be fed back respectively, having only all task action result all is successfully, could be set to success by originating task, if the previous tasks of dependence task is carried out failure, then follow-up work directly is arranged to failure and is removed from formation, and originating task is set to failure.
Accompanying drawing 1 illustration cluster task dispatching method process flow diagram in a kind of cloud computing environment of providing of the embodiment of the invention, as shown in Figure 1, described method comprises step:
The user operates at management end, and one or more cluster tasks are carried out in operation, and task all is added in the task pool, will carry out a task at node A as the user, carries out two tasks in Node B, and three tasks of T1, T2 and T3 are added in the task pool;
Task pool has three tasks, the classification of task parsing module is classified to the task in the task pool and is decomposed, the classification of task parsing module is classified according to task identification, it is its rule that preestablishes task type identification and decompose, three tasks are respectively VMT_update, VMi_create and VMi_delete, VMT is different with the VMI classification, decompose according to the task names task that identifies to carry out the classification back, according to decomposition rule task is decomposed (resolving into two task t1 and t2 that dependence is arranged as vmi_create), t1 and t2 are the specific tasks that will be carried out by destination host, t1 relies on t2, and whether the execution of t2 will rely on a task t1 complete;
Task after controller module will decompose adds the task queue module, and the task of adding formation at present has u1, t1, t2, d1;
The scheduling of resource module is carried out scheduling of resource from task queue module taking-up task, task scheduling is carried out to specified node, the base rule that the scheduling of resource module is taken out task from the task queue module is the principle of first in first out, order is u1, t1, d1, the t2 task depends on could be carried out after the t1 task executions is finished, then the t2 task is waited in formation, and u1 carries out to the A node, and t1, t2, d2 carry out to the B node;
The A node is carried out the task u1 after decomposing, execution result is fed back to controller module, if the execution result of task u1 success, then controller module originating task T1 is set to success, if the execution result of task u1 failure, then controller module originating task T1 is set to failure, and the executing state of originating task T1 feeds back to the user at last.Task after T2 decomposes is a plurality of tasks that dependence is arranged, t1 and t2 execution result feed back one by one, having only all tasks to carry out all is success, originating task T2 could be arranged success, if the previous tasks t1 of dependence task carries out failure, then follow-up work t2 directly is arranged to failure and removes from formation, and the T2 originating task is set to failure.
Except said method, the embodiment of the invention also provides cluster task dispatching system in a kind of cloud computing environment.As shown in Figure 2, illustration the structural drawing of cluster task dispatching system in a kind of cloud computing environment of providing of the embodiment of the invention.
Cluster task dispatching system in a kind of cloud computing environment that the embodiment of the invention provides comprises:
Controller module is used for receiving the user in the operation of management end, and one or more cluster tasks are carried out in operation, and task all is added in the task pool module; Task after the decomposition of classification of task parsing module is added in the task queue module; The receiving target node is carried out the task action result of decomposing the back task;
The task pool module is used for receiving the cluster task that controller module distributes;
The classification of task parsing module is for the task in the task pool module being classified and decomposing;
Wherein, for empty, can there be one or more tasks simultaneously when having task in the task pool module.Preferably, the classification of task parsing module is classified to the task in the task pool module according to task identification, it is the rule that the classification of task parsing module preestablishes task type identification and decomposes, decompose according to the task names task that identifies to carry out the classification back, according to decomposition rule task is decomposed, the task of decomposing is that one or more can specifically allowing carried out the specific tasks that destination host is carried out, if the task after decomposing is a plurality of subtasks, these a plurality of tasks of generalized case have dependence, and whether the execution of next task will rely on a task complete;
The task queue module is used under the control of controller module, receives the task after the classification of task parsing module decomposes;
Wherein, if the user constantly assigns a task, after will constantly being decomposed, the task after the decomposition joins in the formation to be scheduled;
The scheduling of resource module is used for carrying out scheduling of resource from task queue module taking-up task, and task scheduling is carried out to specified node;
Preferably, the scheduling of resource module is first in first out from the base rule of task queue module taking-up task;
Preferably, if certain task depends on and could carry out after other task executions are finished then this task is waited in formation, there is the task of dependence just to carry out task scheduling after the task on the target computing node is complete and carries out.
Preferably, if the task action result success, then controller module arranges success with originating task, if the task action result failure, then controller module is arranged to failure with originating task, and the executing state of originating task feeds back to the user at last.
Preferably, if the task after decomposing is a plurality of tasks that dependence is arranged, then execution result can be fed back respectively, having only all task action result all is successfully, could be set to success by originating task, if the previous tasks of dependence task is carried out failure, then follow-up work directly is arranged to failure and is removed from formation, and originating task is set to failure.
It more than is the detailed description that the preferred embodiments of the present invention are carried out, but those of ordinary skill in the art is to be appreciated that, within the scope of the present invention, and guided by the spirit, various improvement, interpolation and replacement all are possible, for example use that the different programming language (as C, C++, Java etc.) of algorithm, use that can realize functional purpose of the same race is realized etc.These are all in the protection domain that claim of the present invention limits.
Claims (10)
1. cluster task dispatching method in the cloud computing environment may further comprise the steps:
S1, user operate at management end, utilize the controller module operation to carry out one or more cluster tasks, and task all is added in the task pool module;
S2, classification of task parsing module are classified to the task in the task pool module and are decomposed;
Task after S3, controller module will decompose adds the task queue module;
S4, scheduling of resource module are carried out scheduling of resource from task queue module taking-up task, and task scheduling is carried out to specified node;
S5, destination node are carried out the task after decomposing, and execution result is fed back to controller module.
2. the method for claim 1 is characterized in that, described classification of task parsing module is classified to the task in the task pool module according to task identification.
3. the method for claim 1 is characterized in that, described scheduling of resource module is taken out task with first in first out from the task queue module.
4. the method for claim 1, it is characterized in that, could carry out after other task executions are finished if certain task depends on, then this task is waited in formation, has the task of dependence just to carry out the task scheduling execution after the task on the target computing node is complete.
5. the method for claim 1, it is characterized in that, if the task after decomposing is a plurality of tasks that dependence is arranged, then execution result can be fed back respectively, having only all task action result all is successfully, could be set to success by originating task, if the previous tasks of dependence task is carried out failure, then follow-up work directly is arranged to failure and is removed from formation, and originating task is set to failure.
6. cluster task dispatching system in the cloud computing environment comprises:
Controller module is used for receiving the user in the operation of management end, and one or more cluster tasks are carried out in operation, and task all is added in the task pool module; Task after the decomposition of classification of task parsing module is added in the task queue module; The receiving target node is carried out the task action result of decomposing the back task;
The task pool module is used for receiving the cluster task that controller module distributes;
The classification of task parsing module is for the task in the task pool module being classified and decomposing;
The task queue module is used under the control of controller module, receives the task after the classification of task parsing module decomposes;
The scheduling of resource module is used for carrying out scheduling of resource from task queue module taking-up task, and task scheduling is carried out to specified node.
7. system as claimed in claim 6 is characterized in that, described classification of task parsing module is classified to the task in the task pool module according to task identification.
8. system as claimed in claim 6 is characterized in that, described scheduling of resource module is taken out task with first in first out from the task queue module.
9. system as claimed in claim 6, it is characterized in that, could carry out after other task executions are finished if certain task depends on, then this task is waited in formation, has the task of dependence just to carry out the task scheduling execution after the task on the target computing node is complete.
10. system as claimed in claim 6, it is characterized in that, if the task after decomposing is a plurality of tasks that dependence is arranged, then execution result can be fed back respectively, having only all task action result all is successfully, could be set to success by originating task, if the previous tasks of dependence task is carried out failure, then follow-up work directly is arranged to failure and is removed from formation, and originating task is set to failure.
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