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Data cell self-healing method facing Web service calculating environment

A computing environment and web service technology, applied in the field of web service composition, to achieve the effects of ensuring effectiveness, improving flexibility, and ensuring quality

Active Publication Date: 2018-12-07
ZHEJIANG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Wei from Yunnan University comprehensively studied the performance impact of each bioinformatics stage on different workloads through the combination of Spark clusters and biological DNA / RNA sequencing, but its main purpose is to solve how to effectively manage the data analysis services of biological information on the Spark system

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  • Data cell self-healing method facing Web service calculating environment
  • Data cell self-healing method facing Web service calculating environment
  • Data cell self-healing method facing Web service calculating environment

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Experimental program
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Embodiment Construction

[0122] The present invention will be further described below in conjunction with the accompanying drawings.

[0123] refer to Figure 1 ~ Figure 3 , a data cell self-healing method oriented to a Web service computing environment, the self-healing method comprising the following steps:

[0124] 1.1. Information extraction and cell modeling: extract service-related description information, obtain service description metadata, match service operation parameters and resource status according to service syntax information based on the extracted service information, and construct data cells and data cells based on Bigraph theory The structure and biological characteristics of the cluster represent the status information of the service and the potential invocation relationship between the service;

[0125] Bigraph is a graph-based formalized theoretical tool proposed by scholars such as Milner in 2001, which aims to emphasize the location and connection of calculations (physical or ...

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Abstract

A data cell self-healing method facing a Web service calculating environment is disclosed. The method comprises the following steps of step1, combining a Bigraph theory to establish a service combination framework, wherein the above process is divided into two phases of 1.1, information extraction and cell modeling; and 1.2, service combination; and step2, providing the data cell self-healing method facing the Web service calculating environment based on the framework, which includes the following processes of 2.1 Web service information extraction; 2.2 cell modeling; 2.3 service combination verification; 2.4 failure service detection; and 2.5 cell self-healing: carrying out periodic detection on service validity and quality, and realizing service dynamic behavior evolution through carrying out self-healing on the data cells of a structural variation portion so that a service combination can recover an expected function and a self-healing effect can be finally reached. In the invention, the flexibility of a system is increased so that the system can adapt to complex analysis applications and the validity of the service combination is ensured.

Description

technical field [0001] The invention relates to the field of Web service composition, in particular to the detection and replacement mechanism and data cell self-healing method for invalid data services in the data cell model. Background technique [0002] Data as a Service (Data as a Service, DaaS) is an emerging cloud computing service model that provides consumers with data on demand in a timely and low-cost manner through different protocols on the Internet. The main goal of DaaS is to overcome the limitations of advanced methods in data technology, store data according to these methods, and access data from repositories whose location is known and related to sharing and processing. Utilizing DaaS can not only support data access anytime and anywhere, but also reduce data management costs. Different types of DaaS allow consumers to perform data requests and analysis on a large number of rich data sources, improving the flexibility of access to data. For example, Azure'...

Claims

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Application Information

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IPC IPC(8): G06N3/00
CPCG06N3/002
Inventor 陆佳炜周焕吴涵高燕煦徐俊高飞肖刚
Owner ZHEJIANG UNIV OF TECH