WO2014101537A1 - 云计算的服务最大化调度方法和系统 - Google Patents

云计算的服务最大化调度方法和系统 Download PDF

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WO2014101537A1
WO2014101537A1 PCT/CN2013/085463 CN2013085463W WO2014101537A1 WO 2014101537 A1 WO2014101537 A1 WO 2014101537A1 CN 2013085463 W CN2013085463 W CN 2013085463W WO 2014101537 A1 WO2014101537 A1 WO 2014101537A1
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service
resource data
cloud computing
amount
scheduling
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朱定局
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Shenzhen Institute of Advanced Technology of CAS
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5061—Partitioning or combining of resources
    • G06F9/5072—Grid computing

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  • the present invention relates to cloud computing technologies, and more particularly to a scheduling solution and system for cloud computing technologies.
  • the existing cloud computing technology aims to pursue load balancing, and such a cloud computing resource scheduling method cannot satisfy the purpose of maximizing the amount of services.
  • a scheduling method for cloud computing comprising the steps of: obtaining a step of obtaining a plurality of resource data; calculating a step of separately calculating a service quantity of the plurality of resource data according to the plurality of resource data; comparing the steps, comparing the services corresponding to the plurality of resource data The size of the quantity, obtaining the preferred resource data corresponding to the maximum service amount; and the scheduling step of scheduling the cloud computing resource according to the preferred resource data.
  • the resource data includes the number of users of the service and the amount of tasks completed for the corresponding user; in the calculating step, the amount of service is equal to the number of users of the service multiplied by the amount of tasks completed for the corresponding user.
  • the resource data includes the number of users of the service, the user level, and the amount of tasks completed for the corresponding user; in the calculating step, the amount of service is equal to the number of users of the service multiplied by the user level, and multiplied by the corresponding The amount of tasks completed by the user.
  • a scheduling system for cloud computing comprising: obtaining a module to obtain a plurality of resource data; a computing module, respectively calculating a service quantity of the plurality of resource data according to the plurality of resource data; comparing the module, comparing the service quantity corresponding to the plurality of resource data Size, obtaining the preferred resource data corresponding to the maximum service amount; and scheduling module, performing scheduling of the cloud computing resource according to the preferred resource data.
  • the resource data obtained by the obtaining module includes the number of users of the service and the amount of tasks completed for the corresponding user; the computing module performs the calculation that the amount of service is equal to the number of users of the service multiplied by the amount of tasks completed for the corresponding user.
  • the resource data obtained by the obtaining module includes the number of users of the service, the user level, and the amount of tasks completed for the corresponding user; the computing module performs the following calculation: the amount of service is equal to the number of users of the service multiplied by the user level, and then multiplied The amount of tasks that the corresponding user completed.
  • the multi-scheduling method and system for cloud computing selects a scheduling scheme with the largest amount of services according to the service volume of various scheduling schemes, so that the scheduling of the cloud computing resources obtains the maximum service volume, so that the existing cloud is obtained.
  • Computational resources can serve as many users as possible and complete as many tasks as possible.
  • FIG. 1 is a flowchart of a method for scheduling cloud computing according to the present invention
  • FIG. 2 is a schematic block diagram of a scheduling system for cloud computing according to the present invention.
  • the cloud computing of the present invention seeks multi-scheduling, utilizes existing cloud computing resources for scheduling, and maximizes the amount of service, so that existing cloud computing resources can serve as many users as possible and complete as many tasks as possible.
  • the cloud computing resources of the present invention include, but are not limited to, cloud computing and its supporting resources.
  • the scheduling method of the cloud computing of the present invention includes the following steps:
  • S1 obtaining the step of obtaining a plurality of resource data, the resource data including the number of users of the service and the amount of tasks completed for the corresponding user.
  • S2 a calculating step of separately calculating a service quantity of the plurality of resource data according to the plurality of resource data, the service quantity being equal to the number of users of the service* being the task quantity completed by the corresponding user.
  • S3 a comparison step of comparing the sizes of the service amounts corresponding to the plurality of resource data to obtain the preferred resource data corresponding to the maximum service amount.
  • S4 a scheduling step of scheduling cloud computing resources according to the preferred resource data.
  • the resource data includes the number of users of the service, the user level, and the amount of tasks completed for the corresponding user; the service amount is equal to the number of users of the service * the user level * is the corresponding user The amount of tasks completed.
  • a scheduling system for cloud computing includes an obtaining module, a computing module, a comparing module, and a scheduling module that are sequentially connected.
  • the obtaining module obtains a plurality of resource data, and the resource data includes the number of users of the service and the amount of tasks completed for the corresponding user.
  • the calculation module separately calculates the service quantity of the plurality of resource data according to the plurality of resource data, and the service quantity is equal to the number of users of the service* is the amount of tasks completed by the corresponding user.
  • the comparison module compares the size of the service amount corresponding to the plurality of resource data, and obtains the preferred resource data corresponding to the maximum service amount.
  • the scheduling module performs scheduling of the cloud computing resources according to the preferred resource data.
  • the resource data includes the number of users of the service, the user level, and the amount of tasks completed for the corresponding user; the amount of service is equal to the number of users of the service * the user level * is the corresponding user The amount of tasks completed.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Software Systems (AREA)
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Abstract

一种云计算的调度方法和系统，获得多个资源数据；根据多个资源数据分别计算多个资源数据的服务量；比较多个资源数据对应的服务量的大小，获得最大服务量对应的优选资源数据；依据优选资源数据进行云计算资源的调度。本发明的云计算的求多调度方法和系统，根据各种调度方案的服务量，来选择服务量最大的调度方案，以使得对云计算资源的调度获得最大的服务量，使得已有的云计算资源能够服务于尽量多的用户和完成尽量多的任务。

Description

云计算的服务最大化调度方法和系统
【技术领域】
本发明涉及云计算技术，特别是涉及云计算技术的调度解决方法和系统。
【背景技术】
现有的云计算技术中，在进行资源调度时，主要考虑云计算资源的负载均衡。但在云计算的实际应用中，有时需要通过云计算资源的调度获得最大的服务量，使得已有的云计算资源能够服务于尽量多的用户和完成尽量多的任务。
因此，现有的云计算技术以追求负载均衡为目的，这样的云计算资源调度方法是无法满足服务量最大化的目的。
【发明内容】
基于此，有必要针对云计算资源的调度问题，提供一种数量优先的云计算的调度方法和系统，利用已有的云计算资源进行调度，尽量获得最大的服务量，使得已有的云计算资源能够服务于尽量多的用户和完成尽量多的任务。
一种云计算的调度方法，包括如下步骤：获得步骤，获得多个资源数据；计算步骤，根据多个资源数据分别计算多个资源数据的服务量；比较步骤，比较多个资源数据对应的服务量的大小，获得最大服务量对应的优选资源数据；以及调度步骤，依据优选资源数据进行云计算资源的调度。
在其中一个实施例中，获得步骤中，资源数据包括服务的用户数和为相应用户完成的任务量；计算步骤中，服务量等于服务的用户数乘以为相应用户完成的任务量。
在其中一个实施例中，获得步骤中，资源数据包括服务的用户数、用户级别和为相应用户完成的任务量；计算步骤中，服务量等于服务的用户数乘以用户级别，再乘以为相应用户完成的任务量。
一种云计算的调度系统，包括：获得模块，获得多个资源数据；计算模块，根据多个资源数据分别计算多个资源数据的服务量；比较模块，比较多个资源数据对应的服务量的大小，获得最大服务量对应的优选资源数据；以及调度模块，依据优选资源数据进行云计算资源的调度。
在其中一个实施例中，获得模块获得的资源数据包括服务的用户数和为相应用户完成的任务量；计算模块执行如下计算：服务量等于服务的用户数乘以为相应用户完成的任务量。
在其中一个实施例中，获得模块获得的资源数据包括服务的用户数、用户级别和为相应用户完成的任务量；计算模块执行如下计算：服务量等于服务的用户数乘以用户级别，再乘以为相应用户完成的任务量。
本发明的云计算的求多调度方法和系统，根据各种调度方案的服务量，来选择服务量最大的调度方案，以使得对云计算资源的调度获得最大的服务量，使得已有的云计算资源能够服务于尽量多的用户和完成尽量多的任务。
【附图说明】
图1为本发明的云计算的调度方法的流程图；
图2为本发明的云计算的调度系统的原理框图。
【具体实施方式】
本发明的云计算求多调度，利用已有的云计算资源进行调度，尽量获得最大的服务量，使得已有的云计算资源能够服务于尽量多的用户和完成尽量多的任务。
本发明的云计算资源包括但不限于云计算及其配套资源。
如图1所示，本发明的云计算的调度方法，包括如下步骤：
S1：获得步骤，获得多个资源数据，资源数据包括服务的用户数和为相应用户完成的任务量。
S2：计算步骤，根据多个资源数据分别计算多个资源数据的服务量，服务量等于服务的用户数*为相应用户完成的任务量。
S3：比较步骤，比较多个资源数据对应的服务量的大小，获得最大服务量对应的优选资源数据。
S4：调度步骤，依据优选资源数据进行云计算资源的调度。
在本发明的云计算的调度方法的另一种实施例中，资源数据包括服务的用户数、用户级别和为相应用户完成的任务量；服务量等于服务的用户数*用户级别*为相应用户完成的任务量。
如图2所示，一种云计算的调度系统，包括依次连接的获得模块、计算模块、比较模块和调度模块。
获得模块获得多个资源数据，资源数据包括服务的用户数和为相应用户完成的任务量。
计算模块根据多个资源数据分别计算多个资源数据的服务量，服务量等于服务的用户数*为相应用户完成的任务量。
比较模块比较多个资源数据对应的服务量的大小，获得最大服务量对应的优选资源数据。
调度模块依据优选资源数据进行云计算资源的调度。
在本发明的云计算的调度系统的另一种实施例中，资源数据包括服务的用户数、用户级别和为相应用户完成的任务量；服务量等于服务的用户数*用户级别*为相应用户完成的任务量。
以上所述实施例仅表达了本发明的几种实施方式，其描述较为具体和详细，但并不能因此而理解为对本发明专利范围的限制。应当指出的是，对于本领域的普通技术人员来说，在不脱离本发明构思的前提下，还可以做出若干变形和改进，这些都属于本发明的保护范围。因此，本发明专利的保护范围应以所附权利要求为准。

Claims (6)

  1. 一种云计算的调度方法，包括如下步骤：
    获得步骤，获得多个资源数据；
    计算步骤，根据该多个资源数据分别计算该多个资源数据的服务量；
    比较步骤，比较该多个资源数据对应的服务量的大小，获得最大服务量对应的优选资源数据；以及
    调度步骤，依据优选资源数据进行云计算资源的调度。
  2. 根据权利要求1所述的云计算的调度方法，其特征在于，所述的获得步骤中，该资源数据包括服务的用户数和为相应用户完成的任务量；所述的计算步骤中，该服务量等于该服务的用户数乘以该为相应用户完成的任务量。
  3. 根据权利要求1所述的云计算的调度方法，其特征在于，所述的获得步骤中，该资源数据包括服务的用户数、用户级别和为相应用户完成的任务量；所述的计算步骤中，该服务量等于该服务的用户数乘以该用户级别，再乘以该为相应用户完成的任务量。
  4. 一种云计算的调度系统，其特征在于，包括：
    获得模块，获得多个资源数据；
    计算模块，根据该多个资源数据分别计算该多个资源数据的服务量；
    比较模块，比较该多个资源数据对应的服务量的大小，获得最大服务量对应的优选资源数据；以及
    调度模块，依据优选资源数据进行云计算资源的调度。
  5. 根据权利要求4所述的云计算的调度系统，其特征在于，所述的获得模块获得的该资源数据包括服务的用户数和为相应用户完成的任务量；所述的计算模块执行如下计算：该服务量等于该服务的用户数乘以该为相应用户完成的任务量。
  6. 根据权利要求4所述的云计算的调度系统，其特征在于，所述的获得模块获得的该资源数据包括服务的用户数、用户级别和为相应用户完成的任务量；所述的计算模块执行如下计算：该服务量等于该服务的用户数乘以该用户级别，再乘以该为相应用户完成的任务量。
PCT/CN2013/085463 2012-12-25 2013-10-18 云计算的服务最大化调度方法和系统 Ceased WO2014101537A1 (zh)

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