Service optimal combination method for resources and QoS (Quality of Service) perception

A technology for optimizing combination and resources, applied in the field of service computing, it can solve the problems of service combination failure and reduce the success rate of service combination, and achieve the effect of increasing the success rate, improving the service optimization combination, and improving the solution efficiency.

Active Publication Date: 2017-08-18
HENAN POLYTECHNIC UNIV
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Problems solved by technology

As a result, service composition fails, severely

Method used

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  • Service optimal combination method for resources and QoS (Quality of Service) perception
  • Service optimal combination method for resources and QoS (Quality of Service) perception

Examples

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[0022] A resource and QoS aware service optimization combination method, the method includes the following steps:

[0023] (1) Divide the candidate service set of each task in the service composition process into a priori service set, similar service set and total service set;

[0024] (2) Rank the services in the prior service set and the similar service set according to the evaluation value of service quality;

[0025] (3) Initialize the food source group of the artificial bee colony method: generate SN initial food sources that meet the resource requirements and user QoS constraints based on the prior service set, evaluate each food source, and randomly assign these food sources to the SN hired bees;

[0026] (4) Hire bee search stage: For each employed bee, randomly select the j-th dimensional variable of the food source, and its corresponding candidate service set is S j , where j represents the serial number of the jth dimension variable of the food source, 1= is the...

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Abstract

The invention provides a service optimal combination method for resources and QoS (Quality of Service) perception. The method mainly comprises two stages: a preprocessing stage of a candidate service set based on domain knowledge, and a service optimal combination stage for resources and QoS perception, wherein at the service optimal combination stage, a searching stage of an optimal service combination is performed in sequence in a prior service set, a similar service set and a total service set according to a service space search transfer rule. After adoption of the method, a candidate service space is partitioned by service domain knowledge, so that the efficiency of service optimal combination is increased. During the service optimal combination, a resource detection operator is added, so that all services participating in the combination can meet the demands of service requests on service resources, and the success rate and user satisfaction of a service combination are improved.

Description

technical field [0001] The invention relates to a resource and QoS-aware service optimization combination method, and specifically belongs to the service optimization combination technology in the field of service computing. Background technique [0002] With the rapid development of new information technology and computing paradigms (such as: Internet of Things, big data, social network services, mobile networks, smart terminals, service computing, and cloud computing, etc.), massive services from different fields appear on the Internet. In essence, these services are intertwined to form a large service, which is a complex service ecosystem with a large number of different types of services. Big services combine virtual services (such as Web services, cloud services, SaaS, PaaS, IaaS, SNS, and IoT) with physical services (such as public transportation services, logistics services, enterprise services, medical services, human services, manufacturing services, and financial s...

Claims

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Application Information

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IPC IPC(8): H04L12/24
CPCH04L41/0823H04L41/50
Inventor 刘志中王俊峰张维怡刘永利马永强
Owner HENAN POLYTECHNIC UNIV
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