Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Given the importance of regional centers for medical image sharing and cooperation is important for resource balancing, healthcare service enhancement and medical expense reduction, building such regional medical image sharing and cooperation centers faces huge challenges. In this paper we analyze the advantages and weakness of two storage architectures, and designed a hybrid storage architecture combining FC SAN and Hadoop HDFS. A HDFS suitable medical image file format, called S-DICOM, and a set of S-DICOM operating middleware, SDFO (S-DICOM File Operator), was developed. The results of performance testing indicated that this hybrid storage architecture is suitable for storing and managing large volume of medical images.
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