CN111935222A - Method for determining SaaS service content of Internet of things - Google Patents
Method for determining SaaS service content of Internet of things Download PDFInfo
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- CN111935222A CN111935222A CN202010638660.8A CN202010638660A CN111935222A CN 111935222 A CN111935222 A CN 111935222A CN 202010638660 A CN202010638660 A CN 202010638660A CN 111935222 A CN111935222 A CN 111935222A
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Abstract
The invention belongs to the technical field of cloud computing, and particularly relates to a method for determining SaaS service content of an Internet of things. According to the method, the preset utility threshold lambda is set as a variable, so that the SaaS service quality attribute is updated by referring to different preset utility thresholds lambda, and finally the SaaS service quality attribute is updated to the best condition of the available limit, and the service is not difficult to provide because the utility value gamma does not reach the preset utility threshold lambda; therefore, the SaaS provider can provide the SaaS service, and the provided SaaS service can reach the capability limit of the SaaS provider.
Description
Technical Field
The invention belongs to the technical field of cloud computing, and particularly relates to a method for determining SaaS service content of an Internet of things.
Background
Software-as-a-service (SaaS) is a common cloud computing delivery model for the internet of things at present. The invention discloses a technical scheme for enabling SaaS (software as a service) finally provided by a SaaS provider to meet the actual requirements of customers in a method and a system (CN201611184811.7) for determining the content of SaaS service of the Internet of things, which are invented in China, and the main contents are as follows:
sending an initial SLA request to a SaaS service supply platform;
acquiring an SLA proposal returned by the SaaS service supply platform after receiving the initial SLA request;
respectively calculating utility values corresponding to each SaaS service quality attribute in the current SLA proposal by using a preset utility function;
monitoring whether the utility value of each SaaS service quality attribute is smaller than a corresponding preset utility threshold value;
if the utility value corresponding to the target SaaS service quality attribute is smaller than the corresponding preset utility threshold value, generating a new SLA request aiming at the target SaaS service quality attribute, and sending the current new SLA request to the SaaS service supply platform to obtain a corresponding new SLA proposal until the utility value of the target SaaS service quality attribute in the current new SLA proposal is larger than or equal to the corresponding preset utility threshold value; the target SaaS service quality attribute is any SaaS service quality attribute in the current SLA proposal;
and if the utility values corresponding to all the SaaS service quality attributes are greater than or equal to the corresponding preset utility threshold values, acquiring the corresponding SaaS service provided by the SaaS service supply platform according to the current latest SLA proposal.
In this scheme, how to set a proper preset utility threshold is not disclosed, and in practice, if the preset utility threshold is not properly set, the implementation effect of the scheme is seriously affected.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a method for determining the content of an internet of things SaaS service, which can set a dynamically changing preset utility threshold, that is, it is ensured that a SaaS provider can provide the SaaS service, and the provided SaaS service can reach the capability limit of the SaaS provider.
In order to solve the technical problems, the invention adopts the technical scheme that: a method for determining SaaS service content of the Internet of things comprises the following steps:
step1, sending an initial SLA request to a SaaS service supply platform;
step2, acquiring an SLA proposal returned by the SaaS service supply platform after receiving the initial SLA request; the following steps Step 3-Step 10 are performed for each SaaS quality of service attribute in the SLA proposal:
step3, calculating a utility value gamma corresponding to the SaaS service quality attribute by using a preset utility function;
step4, adding a corresponding increment aiming at the utility value gamma of the SaaS service quality attribute, and taking the added utility value gamma' ═ gamma + as a preset utility threshold lambda of the SaaS service quality attribute;
step5, updating SaaS quality of service attributes and repeating Step3
Step6, calculating utility value transformation quantity corresponding to SaaS service quality attribute
Step7, judging whether a utility value gamma which corresponds to the current SaaS service quality attribute is greater than or equal to lambda, if yes, entering Step8, and if not, entering Step 9;
step8, updating a preset utility threshold value lambda' ═ lambda + delta gamma;
step9, updating a preset utility threshold value lambda' ═ lambda-delta gamma;
step10, repeating the steps from Step5 to Step9 for multiple times until Step8 and Step9 are continuously and alternately executed for more than 3 times, and outputting the current SaaS service quality attribute to the SLA proposal; the Step8 and the Step9 alternately execute 1 finger: after the Step7 is executed, executing Step8, and executing Step9 after the next Step7 is executed; or after the Step7 is executed at this time, executing Step9, and executing Step8 after the Step7 is executed next time;
step11, acquiring corresponding SaaS service provided by the SaaS service supply platform according to the current latest SLA proposal.
Compared with the prior art, the invention has the following advantages: according to the method, the preset utility threshold lambda is set as a variable, so that the SaaS service quality attribute is updated by referring to different preset utility thresholds lambda, and finally the SaaS service quality attribute is updated to the best condition of the available limit, and the service is not difficult to provide because the utility value gamma does not reach the preset utility threshold lambda; therefore, the SaaS provider can provide the SaaS service, and the provided SaaS service can reach the capability limit of the SaaS provider.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
As shown in fig. 1, the present invention includes a method for determining content of an internet of things SaaS service, including:
step1, sending an initial SLA request (Service-level agent, Service level agreement) to the SaaS Service supply platform;
the SLA request is sent to the SaaS service supply platform by the SaaS user terminal;
step2, acquiring an SLA proposal returned by the SaaS service supply platform after receiving the initial SLA request; the following steps Step 3-Step 10 are performed for each SaaS quality of service attribute in the SLA proposal:
step3, calculating a utility value gamma corresponding to the SaaS service quality attribute by using a preset utility function;
it should be noted that if the attribute value of the SaaS service quality attribute and the utility value corresponding to the attribute value are in a positive correlation relationship, the first-class preset utility function disclosed in the internet of things SaaS service content determination method and system (CN201611184811.7) of the patent is adopted for calculation; similarly, if the attribute value of the SaaS service quality attribute and the corresponding utility value are in a negative correlation relationship, calculating by adopting a second type of preset utility function disclosed in an Internet of things SaaS service content determination method and system (CN 201611184811.7); it should be understood, of course, that other preset utility functions may be used by those skilled in the art for the calculation; the setting of the preset utility function is not the key point of the invention;
step4, adding a corresponding increment aiming at the utility value gamma of the SaaS service quality attribute, and taking the added utility value gamma' ═ gamma + as a preset utility threshold lambda of the SaaS service quality attribute; the increment is an empirical value and can be given according to actual conditions;
step5, updating SaaS quality of service attributes and repeating Step3
Step6, calculating utility value transformation quantity corresponding to SaaS service quality attribute
Step7, judging whether a utility value gamma which corresponds to the current SaaS service quality attribute is greater than or equal to lambda, if yes, entering Step8, and if not, entering Step 9;
step8, updating a preset utility threshold value lambda' ═ lambda + delta gamma;
step9, updating a preset utility threshold value lambda' ═ lambda-delta gamma;
step10, repeating the steps from Step5 to Step9 for multiple times until Step8 and Step9 are continuously and alternately executed for more than 3 times, and outputting the current SaaS service quality attribute to the SLA proposal; the Step8 and the Step9 alternately execute 1 finger: after the Step7 is executed, executing Step8, and executing Step9 after the next Step7 is executed; or after the Step7 is executed at this time, executing Step9, and executing Step8 after the Step7 is executed next time;
it should be noted that, when Step8 and Step9 are continuously and alternately executed for more than 3 times, the update of the SaaS service quality attribute can be proved to reach the strength limit of the SaaS service provision platform, and the SaaS service quality attribute is in the best state at this time;
step11, acquiring corresponding SaaS service provided by the SaaS service supply platform according to the current latest SLA proposal.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and all simple modifications, changes and equivalent structural changes made to the above embodiment according to the technical spirit of the present invention still fall within the protection scope of the technical solution of the present invention.
Claims (1)
1. A method for determining SaaS service content of the Internet of things is characterized by comprising the following steps:
step1, sending an initial SLA request to a SaaS service supply platform;
step2, acquiring an SLA proposal returned by the SaaS service supply platform after receiving the initial SLA request; the following steps Step 3-Step 10 are performed for each SaaS quality of service attribute in the SLA proposal:
step3, calculating a utility value gamma corresponding to the SaaS service quality attribute by using a preset utility function;
step4, adding a corresponding increment aiming at the utility value gamma of the SaaS service quality attribute, and taking the added utility value gamma' ═ gamma + as a preset utility threshold lambda of the SaaS service quality attribute;
step5, updating SaaS quality of service attributes and repeating Step3
Step6, calculating utility value transformation quantity corresponding to SaaS service quality attribute
n≥2；
Step7, judging whether a utility value gamma which corresponds to the current SaaS service quality attribute is greater than or equal to lambda, if yes, entering Step8, and if not, entering Step 9;
step8, updating a preset utility threshold value lambda' ═ lambda + delta gamma;
step9, updating a preset utility threshold value lambda' ═ lambda-delta gamma;
step10, repeating the steps from Step5 to Step9 for multiple times until Step8 and Step9 are continuously and alternately executed for more than 3 times, and outputting the current SaaS service quality attribute to the SLA proposal; the Step8 and the Step9 alternately execute 1 finger: after the Step7 is executed, executing Step8, and executing Step9 after the next Step7 is executed; or after the Step7 is executed at this time, executing Step9, and executing Step8 after the Step7 is executed next time;
step11, acquiring corresponding SaaS service provided by the SaaS service supply platform according to the current latest SLA proposal.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115695220A (en) * | 2022-12-14 | 2023-02-03 | 深圳富联富桂精密工业有限公司 | Method and device for calculating service performance index effect value |
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