CN113961323B - Hybrid cloud-oriented security perception task scheduling method and system - Google Patents

Hybrid cloud-oriented security perception task scheduling method and system Download PDF

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CN113961323B
CN113961323B CN202111221481.5A CN202111221481A CN113961323B CN 113961323 B CN113961323 B CN 113961323B CN 202111221481 A CN202111221481 A CN 202111221481A CN 113961323 B CN113961323 B CN 113961323B
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桑永宣
王博
李保环
崔霄
曹洁
王昌海
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Zhengzhou University of Light Industry
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    • 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
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    • G—PHYSICS
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    • 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
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Abstract

The invention relates to a security perception task scheduling method and system facing a hybrid cloud, aiming at all tasks to be executed, tasks which have no security requirement and can be completed on a public cloud are pre-scheduled to the public cloud, limited private cloud resources are reserved as much as possible, the public cloud resources with rich computing resources are used for meeting the task requirement without the security requirement, the richness of the public cloud computing resources is fully utilized, then the tasks which are not pre-scheduled to the public cloud and can be completed on the private cloud are scheduled to the private cloud to meet the requirement of as many tasks as possible, and finally the tasks which can be completed on the private cloud in the tasks which are pre-scheduled to the public cloud are scheduled to the private cloud, so that the renting cost of the public cloud is reduced, the private cloud resources with low cost are fully utilized, and the use efficiency of the resources is improved.

Description

Hybrid cloud-oriented security perception task scheduling method and system
Technical Field
The invention relates to a security perception task scheduling method and system facing to a hybrid cloud.
Background
In recent decades, cloud computing has been paid attention from the business industry and academic community due to its many advantages, and more providers adopt the cloud computing mode to provide services for their users. Although cloud computing resources are "unlimited" to users, in reality private cloud resources owned by an enterprise are limited, especially for small to medium enterprises. In order to solve the problems, a hybrid cloud technology is proposed, which provides a scheme for expanding flexible resources for private clouds of enterprises through public clouds, and is pursued by broad providers. Although the public cloud can provide abundant computing resources, the network latency and bandwidth performance of the public cloud are relatively poor, and the security of the public cloud for executing tasks cannot be guaranteed. Security is a primary factor for enterprises to decide whether to outsource their user requests to the public cloud. Therefore, when the request task is processed, the task with the safety requirement can only be processed on the private cloud, and the task without the safety requirement can be processed on the private cloud and the public cloud.
In the hybrid cloud environment, in order to provide quality of service and resource use efficiency, much work has been focused on the design of a task scheduling method for processing by reasonably mapping a user's request task to a hybrid cloud resource. However, the existing task scheduling methods do not consider safe execution of tasks, which greatly limits the application scope of the tasks. In addition, the existing security perception scheduling methods preferentially use private cloud resources, and only when the private cloud resources are insufficient, the task is considered to be scheduled on the public cloud for processing. The priority of using the private cloud resources can schedule tasks without safety requirements to the private cloud, so that the private cloud resources with limited resources are more scarce when processing the tasks with safety requirements.
Disclosure of Invention
The invention provides a security perception task scheduling method and system for a hybrid cloud, which are used for solving the technical problem that private cloud resources are more scarce when processing tasks with security requirements due to the fact that the private cloud resources are preferentially used.
The invention adopts the following technical scheme:
a safety perception task scheduling method facing to a hybrid cloud comprises the following steps:
step S1: for all tasks to be executed, pre-scheduling the tasks which have no safety requirement and can be completed on the public cloud to the public cloud;
Step S2: scheduling the tasks which are not pre-scheduled to the public cloud and can be completed on the private cloud in all the tasks to be executed to the private cloud;
step S3: and aiming at the tasks which are pre-scheduled on the public cloud, scheduling the tasks which can be completed on the private cloud in the tasks which are pre-scheduled on the public cloud to the private cloud.
Further, in step S1, the task that can be completed on the public cloud is specifically: for a task scheduled on a public cloud, the completion time for completing the task is no later than the deadline for the task.
Further, the calculation formula of the completion time of the task scheduled to the public cloud is:
Figure BDA0003312784800000021
wherein, tiTo schedule the ith task to the public cloud, ftiAs task tiCompletion time of ti-1To schedule the i-1 st task to the public cloud, fti-1As task ti-1Completion time of oiAs task tiAmount of output data of oi-1As task ti-1Amount of output data of aiAs task tiAmount of computing resources required, ai-1As task ti-1Amount of computing resources required, iniAs task tiC is the computing resource amount of the public cloud, up is the uplink bandwidth of the public cloud, and down is the downlink bandwidth of the public cloud.
Further, in step S2, the task that can be completed on the private cloud is specifically: for a task scheduled onto the private cloud, the completion time to complete the task is no later than the deadline for the task.
In one step, the calculation formula of the completion time of the task scheduled to the private cloud is as follows:
Figure BDA0003312784800000022
wherein, TjFor the jth task scheduled to the private cloud, FTjFor task TjCompletion time of (D), Tj-1For the j-1 st task scheduled to the private cloud, FTj-1For task Tj-1Completion time of (1), OjFor task TjAmount of output data of Oj-1For task Tj-1Amount of output data of AjFor task TjAmount of computing resources required, Aj-1For task Tj-1Amount of computing resources required, INjFor task TjC is the amount of computing resources of the private cloud, r is the bandwidth of the private cloud for reading data in the local file system, and w is the bandwidth of the private cloud for writing data in the local file system.
A hybrid cloud-oriented security-aware task scheduling system comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein the processor realizes the steps of the hybrid cloud-oriented security-aware task scheduling method when executing the computer program.
The invention has the beneficial effects that: the method comprises the steps of firstly pre-scheduling all tasks which have no safety requirement and can be completed on a public cloud to the public cloud, fully utilizing abundant public cloud resources to complete tasks which have no safety requirement as much as possible, reserving private cloud resources as much as possible, then scheduling all tasks which are not pre-scheduled to the public cloud and can be completed on the private cloud to the private cloud, processing the tasks which need to be processed through the private cloud by utilizing the private cloud resources, improving the safety of task processing, and finally scheduling the tasks which can be completed on the private cloud in the tasks which are pre-scheduled to the public cloud to the private cloud, so that the resource amount on the public cloud is reduced, and the use efficiency of rented cloud resources is improved. Therefore, the hybrid cloud-oriented security perception task scheduling method provided by the invention fully reserves limited private cloud resources as much as possible, meets the task requirement without security requirement by utilizing public cloud resources with rich computing resources, and fully utilizes the richness of the public cloud computing resources; then, private cloud resources are utilized to meet the requirements of as many tasks as possible; and finally, the task scheduled on the public cloud is rescheduled to the private cloud, so that the renting cost of the public cloud is reduced, the low-cost private cloud resources are fully utilized, the use efficiency of the resources is improved, and the technical problem that the private cloud resources with limited resources are more scarce when the task with the safety requirement is processed by preferentially using the private cloud resources is solved.
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In order to more clearly illustrate the technical solution of the embodiments of the present invention, the drawings required to be used in the embodiments will be briefly described as follows:
fig. 1 is a schematic overall flow diagram of a hybrid cloud-oriented security aware task scheduling method according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items and includes such combinations.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
Furthermore, in the description of the present application and the appended claims, the terms "first," "second," "third," and the like are used for distinguishing between descriptions and not necessarily for describing or implying relative importance.
Reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather "one or more but not all embodiments" unless specifically stated otherwise. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless expressly specified otherwise.
In order to explain the technical means described in the present application, the following description will be given by way of specific embodiments.
Referring to fig. 1, which is a flowchart of a hybrid cloud-oriented security aware task scheduling method provided in an embodiment of the present application, for convenience of description, only a part related to the embodiment of the present application is shown.
Step S1: for all tasks to be executed, pre-scheduling tasks which have no security requirement and can be completed on the public cloud to the public cloud:
and for all tasks to be executed, pre-scheduling the tasks which have no safety requirement and can be completed on the public cloud to the public cloud. The scheduling policy corresponding to this step is a deadline first policy. Whether the task has the safety requirement is set according to actual requirements, for example, a safety requirement judgment condition is preset, all tasks to be executed are input into the safety requirement judgment condition, if the safety requirement judgment condition is met, the task is represented as a task with the safety requirement, and otherwise, the task is a task without the safety requirement. It should be understood that the safety requirement judgment condition is set by actual requirements, such as human setting. Pre-scheduling to a public cloud means scheduling to a public cloud first.
The tasks that can be completed on the public cloud are specifically as follows: for a task scheduled onto the public cloud, the completion time to complete the task is earlier than the deadline for the task. Namely: for a certain task, if the task is scheduled on the public cloud, the task can be completed before or when the deadline of the task comes. That is, the following formula is satisfied for any task scheduled to the public cloud:
fti≤di
wherein, tiTo schedule the ith task to the public cloud, ftiAs task tiCompletion time of diAs task tiA number of less than or equal to represents the task tiIs not later than its deadline.
In this embodiment, task tiThe completion time of (d) is calculated as:
Figure BDA0003312784800000051
wherein max () is a maximum function, the same as below; t is ti-1To schedule the i-1 st task to the public cloud, fti-1As task ti-1Completion time of oiAs task tiAmount of output data of oi-1As task ti-1Amount of output data of aiAs task tiAmount of computing resources required, ai-1As task ti-1Amount of computing resources required, iniAs task tiC is the computing resource amount of the public cloud, up is the uplink bandwidth of the public cloud, and down is the downlink bandwidth of the public cloud.
It should be understood that task t is given above iThe specific calculation mode of the completion time relates to various related data information, and the task t can be accurately calculatediThe completion time of the task scheduling is shortened, and the accuracy of task scheduling is improved. As another embodiment, other calculation processes may be used for calculation.
Step S2: scheduling, to a private cloud, a task that is not pre-scheduled to the public cloud and that can be completed on the private cloud, of the all tasks to be executed:
after step S1, tasks that are not pre-scheduled to the public cloud remain, and then tasks that can be completed on the private cloud are scheduled to the private cloud, among all tasks to be executed, that are not pre-scheduled to the public cloud. The scheduling strategy corresponding to the step is also a deadline first strategy.
The tasks that can be completed on the private cloud are specifically: for a task scheduled onto the private cloud, the completion time to complete the task is no later than the deadline for the task. Namely: for a task, if the task is scheduled on the private cloud, it can be completed before or when the deadline for the task comes. That is, the following formula is satisfied for any task scheduled to the private cloud:
FTj≤Dj
Wherein, TjFor the jth task scheduled to the private cloud, FTjFor task TjCompletion time of (D)jFor task TjA number of less than or equal to represents the task TjIs not later than its deadline.
In this embodiment, task TjThe completion time of (d) is calculated as:
Figure BDA0003312784800000061
wherein, Tj-1For the j-1 st task scheduled to the private cloud, FTj-1For task Tj-1Completion time of (1), OjFor task TjAmount of output data of Oj-1For task Tj-1Amount of output data of AjFor task TjAmount of computing resources required, Aj-1For task Tj-1Amount of computing resources required, INjFor task TjC is the amount of computing resources of the private cloud, r is the bandwidth of the private cloud for reading data in the local file system, and w is the bandwidth of the private cloud for writing data in the local file system.
It should be understood that task T is given abovejThe specific calculation mode of the completion time relates to various related data information, and the task T can be accurately calculatedjThe completion time of the task scheduling is shortened, and the accuracy of the task scheduling is improved. As another embodiment, other calculation processes may be used for calculation.
Step S3: aiming at tasks which are pre-scheduled to the public cloud, scheduling the tasks which can be completed on the private cloud in the tasks which are pre-scheduled to the public cloud to the private cloud:
After the task that can be completed on the private cloud is scheduled to the private cloud in step S2, the following processing is performed again on the task that is pre-scheduled to the public cloud in step S1: and scheduling the tasks which can be completed on the private cloud in the tasks which are pre-scheduled on the public cloud to the private cloud, so that the low-cost private cloud resources are fully utilized, and the use efficiency of the private cloud resources is improved.
The embodiment also provides a security-aware task scheduling system for a hybrid cloud, which includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and when the processor executes the computer program, the steps of the security-aware task scheduling method for the hybrid cloud are implemented.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the embodiments of the present application, and they should be construed as being included in the present application.

Claims (2)

1. A security awareness task scheduling method for hybrid cloud is characterized by comprising the following steps:
step S1: for all tasks to be executed, pre-scheduling the tasks which have no safety requirement and can be completed on the public cloud to the public cloud;
step S2: scheduling the tasks which are not pre-scheduled to the public cloud and can be completed on the private cloud in all the tasks to be executed to the private cloud;
step S3: aiming at tasks which are pre-scheduled to the public cloud, scheduling tasks which can be completed on the private cloud in the tasks which are pre-scheduled to the public cloud to the private cloud;
in step S1, the task that can be completed on the public cloud is specifically: for a task scheduled on a public cloud, the completion time for completing the task is not later than the deadline of the task;
the calculation formula of the completion time of the task scheduled on the public cloud is:
Figure FDA0003640406650000011
wherein, tiTo schedule the ith task to the public cloud, ftiAs task tiCompletion time of ti-1To schedule the i-1 st task to the public cloud, fti-1As task ti-1Completion time of oiAs task tiAmount of output data of oi-1As task ti-1Output data ofAmount aiAs task tiAmount of computing resources required, a i-1As task ti-1Amount of computing resources required, iniAs task tiC is the computing resource amount of the public cloud, up is the uplink bandwidth of the public cloud, and down is the downlink bandwidth of the public cloud;
in step S2, the task that can be completed on the private cloud is specifically: for a task scheduled on the private cloud, the completion time for completing the task is not later than the deadline of the task;
the calculation formula for the completion time of the task scheduled onto the private cloud is:
Figure FDA0003640406650000021
wherein, TjFor the jth task scheduled to the private cloud, FTjFor task TjCompletion time of (D), Tj-1For the j-1 st task scheduled to the private cloud, FTj-1For task Tj-1Completion time of (1), OjFor task TjAmount of output data of Oj-1For task Tj-1Amount of output data of AjFor task TjAmount of computing resources required, Aj-1For task Tj-1Amount of computing resources required, INjFor task TjC is the amount of computing resources of the private cloud, r is the bandwidth of the private cloud for reading data in the local file system, and w is the bandwidth of the private cloud for writing data in the local file system.
2. A hybrid cloud-oriented security-aware task scheduling system comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor when executing the computer program implements the steps of the hybrid cloud-oriented security-aware task scheduling method of claim 1.
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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104657220A (en) * 2015-03-12 2015-05-27 广东石油化工学院 Model and method for scheduling for mixed cloud based on deadline and cost constraints
CN107292419A (en) * 2017-05-22 2017-10-24 四川大学 The Cost Optimization strategy that dynamic Multi-workflow scheduling is performed in a kind of mixing cloud environment
CN107659433A (en) * 2017-09-08 2018-02-02 中国联合网络通信集团有限公司 A kind of cloud resource dispatching method and equipment
CN107908458A (en) * 2017-11-10 2018-04-13 苏州铭冠软件科技有限公司 A kind of cloud computing data resource dispatching method for considering time and expense
CN109710392A (en) * 2018-12-21 2019-05-03 万达信息股份有限公司 A kind of heterogeneous resource dispatching method based on mixed cloud
CN110377411A (en) * 2019-07-22 2019-10-25 郑州轻工业学院 A kind of the workflow task dispatching method and system of Based on Distributed cloud
WO2022041271A1 (en) * 2020-08-31 2022-03-03 苏州铭冠软件科技有限公司 Cloud data resource scheduling method considering time and expense in rail transit applications

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10423449B2 (en) * 2017-11-20 2019-09-24 International Business Machines Corporation Allocating tasks in a computing environment

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104657220A (en) * 2015-03-12 2015-05-27 广东石油化工学院 Model and method for scheduling for mixed cloud based on deadline and cost constraints
CN107292419A (en) * 2017-05-22 2017-10-24 四川大学 The Cost Optimization strategy that dynamic Multi-workflow scheduling is performed in a kind of mixing cloud environment
CN107659433A (en) * 2017-09-08 2018-02-02 中国联合网络通信集团有限公司 A kind of cloud resource dispatching method and equipment
CN107908458A (en) * 2017-11-10 2018-04-13 苏州铭冠软件科技有限公司 A kind of cloud computing data resource dispatching method for considering time and expense
CN109710392A (en) * 2018-12-21 2019-05-03 万达信息股份有限公司 A kind of heterogeneous resource dispatching method based on mixed cloud
CN110377411A (en) * 2019-07-22 2019-10-25 郑州轻工业学院 A kind of the workflow task dispatching method and system of Based on Distributed cloud
WO2022041271A1 (en) * 2020-08-31 2022-03-03 苏州铭冠软件科技有限公司 Cloud data resource scheduling method considering time and expense in rail transit applications

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
Scheduling deadline constrained scientific workflows on dynamically provisioned cloud resources;Vahid Arabnejad等;《Future Generation Computer Systems》;20170118;第348-364页 *
Scheduling in hybrid cloud to maintain data privacy;H. Abrishami等;《Fifth International Conference on the Innovative Computing Technology (INTECH 2015)》;20150803;第83-88页 *
云环境下安全感知的实时并行任务调度算法;马红娟等;《控制工程》;20180720;第25卷(第07期);第1243-1249页 *
合云环境中调度执行多工作流费用优化算法;卢莉等;《现代计算机》;20201015;第3-14页 *
混合云中基于截止时间和费用约束的调度方法研究;左利云等;《计算机应用研究》;20151019;第2315-2319页 *

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