Component service deployment method for data-intensive service collaboration system

Abstract

The invention discloses a method for deploying component services for a data-intensive service cooperation system. By the method, the component services are optimally deployed by the aid of a multi-object optimization algorithm on the basis of negative selection. The method includes mapping the component service deployment on the basis of data-intensive service cooperation into a negative selection algorithm, mapping a single deployment scheme of each single component service into a gene, mapping a deployment scheme of all the component services as an antibody and creating all possible genes to form a gene library; sequentially iteratively matching antibodies on the basis of a negative selection process and circularly iteratively matching the antibodies repeatedly to finally obtain antigens, and using the deployment schemes corresponding to the certain antibodies as the optimal deployment schemes. The method has the advantages that in each iteration procedure, a certain quantity of antibodies are generated by means of gene recombination at first, antibody groups are formed, then low-quality antibodies in the antibody groups are eliminated by means of negative selection, and accordingly search space is reduced; a gene warehouse is updated according to an iteration result after each iteration procedure is completed, so that optimal antibodies can be assuredly generated by means of gene recombination in each follow-up iteration procedure.

Description

technical field [0001] The invention relates to the communication field, in particular to a component service deployment method for a data-intensive service collaboration system. Background technique [0002] In recent years, with the development of next-generation information technologies such as cloud computing, Internet of Things, and mobile Internet, Internet data has grown explosively. According to statistics, all the data generated by the Internet in one day can fill 168 million DVDs, the number of mails sent is equivalent to two years of paper letters in the United States, and the amount of community posts sent is equivalent to 770 years of "Time" magazine. The US Internet Data Center pointed out that Internet data will increase by 50% every year, and will double every two years. With Internet data growing rapidly at an unprecedented rate, the "New York Times" published an article "Age of Big Data" in 2012, which officially opened the prelude to the era of "big data"...

AI Technical Summary

Problems solved by technology

[0007] Aiming at the problem that the existing data-intensive service collaboration system will generate a large amount of data transmission overhead during execution, the present invention provides a component service deployment method for the data-intensive service collaboration system

Images