CN107145414B - Method and system for testing distributed object storage - Google Patents
Method and system for testing distributed object storage Download PDFInfo
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Abstract
The invention discloses a method and a system for testing distributed object storage, wherein the method comprises the following steps: acquiring data parameters of a medical information imaging system; establishing a model for simulating data parameters of the medical information imaging system; performing a preset test on the target storage cluster through the model; and analyzing the test result to obtain the operation performance index of the target storage cluster to the medical information imaging system. Before the medical information-based image system is established, firstly, data of the medical information-based image system is simulated, corresponding tests are carried out on a target storage cluster, the operation performance index of the target storage cluster is obtained according to the test result so as to judge whether the target storage cluster meets the requirements or not, if the target storage cluster does not meet the requirements, other storage clusters can be selected or the storage cluster can be improved until the requirements are met, so that the requirements of medical information-based image processing on a server are met, and the condition of high cost is avoided.
Description
Technical Field
The present invention relates to the field of image processing technologies, and in particular, to a method and a system for testing distributed object storage.
Background
With the development of information technology, the processing of regional images has been rapidly developed.
The regional image system comprises two core contents of image calculation and data influence service, the image calculation technology adopts a high-performance computing cluster (HPC cluster) to assist a GPU with high computing power, the functions of image big data calculation, display, reconstruction and the like are achieved, and the image data service solves the problems of full image, full processing, full analysis and full parallel new-generation medical informatization image processing and analysis in any network (including wireless 3G) environment. In the medical information-based image processing system, if the server for processing data by the system cannot meet the requirement, the processing of the medical information-based data is seriously influenced, and serious consequences are caused, and if the server is replaced at the moment, higher cost is caused.
Therefore, how to not only ensure the requirement of the medical information-based image processing on the server, but also avoid the situation of high cost caused by replacing the server which does not meet the requirement is a technical problem to be solved by the technical personnel in the field at present.
Disclosure of Invention
The invention aims to provide a method and a system for testing distributed object storage, which can not only ensure the requirement of medical information-based image processing on a server, but also avoid the condition of overhigh cost caused by replacing the server which does not meet the requirement.
In order to solve the technical problems, the invention provides the following technical scheme:
a method for testing distributed object storage, comprising:
acquiring data parameters of a medical information imaging system;
establishing a model for simulating data parameters of the medical information imaging system;
performing preset test on the target storage cluster through the model;
and analyzing the test result to obtain the operation performance index of the target storage cluster to the medical information imaging system.
Preferably, the establishing a model for simulating data parameters of the medical information imaging system includes:
and simulating the image-text data parameters and the image data parameters of the medical information imaging system by a cosbench tool, and establishing a corresponding model.
Preferably, the performing a preset test on the target storage cluster through the model includes:
and performing preset read-write operation on the target storage cluster through the cosbench tool.
Preferably, the analyzing the test result to obtain the operation performance index of the target storage cluster for the medical information imaging system includes:
acquiring the network bandwidth and the writing and reading rate information of the target storage cluster according to the preset reading and writing operation;
analyzing and processing the network bandwidth and the written and read rate information, judging whether the target storage cluster meets a preset operation performance index, and acquiring the expansion performance information and the linear performance degree information of the target storage cluster.
A system for testing distributed object storage, comprising:
the acquisition module is used for acquiring data parameters of the medical information imaging system;
the modeling module is used for establishing a model for simulating data parameters of the medical information imaging system;
the test module is used for carrying out preset test on the target storage cluster through the model;
and the analysis module is used for analyzing the test result and acquiring the operation performance index of the target storage cluster to the medical information imaging system.
Preferably, the modeling module comprises:
the simulation unit is used for simulating image-text data parameters and image data parameters of the medical information imaging system through a cosbench tool;
and the modeling unit is used for establishing a corresponding model according to the data simulated by the simulation unit.
Preferably, the test module comprises:
the read operation testing unit is used for performing preset read operation on the target storage cluster through the cosbench tool;
and the write operation testing unit is used for carrying out preset write operation on the target storage cluster through the cosbench tool.
Preferably, the analysis module comprises:
the acquisition unit is used for acquiring the network bandwidth and the writing and reading rate information of the target storage cluster according to the preset reading and writing operation;
and the analysis unit is used for analyzing and processing the network bandwidth and the written and read rate information, judging whether the target storage cluster meets a preset operation performance index or not, and acquiring the expansion performance information and the linear performance degree information of the target storage cluster.
Compared with the prior art, the technical scheme has the following advantages:
the invention provides a method for testing distributed object storage, which comprises the following steps: acquiring data parameters of a medical information imaging system; establishing a model for simulating data parameters of the medical information imaging system; performing a preset test on the target storage cluster through the model; and analyzing the test result to obtain the operation performance index of the target storage cluster to the medical information imaging system. Before the medical information-based image system is established, firstly, data of the medical information-based image system is simulated, corresponding tests are carried out on a target storage cluster, the running performance index of the target storage cluster is obtained according to the test result to judge whether the target storage cluster meets the requirements or not, if the target storage cluster does not meet the requirements, other storage clusters can be selected or the storage cluster can be improved until the requirements are met, so that the requirements of medical information-based image processing on the server can be met, and the condition of overhigh cost caused by replacing the server which does not meet the requirements can be avoided.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow diagram of a method for testing a distributed object store in accordance with an embodiment of the present invention;
FIG. 2 is a block diagram of a system for testing distributed object storage according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a hardware structure of a system for testing a distributed object storage according to an embodiment of the present invention.
Detailed Description
The core of the invention is to provide a method and a system for testing distributed object storage, which can not only ensure the requirements of medical information-based image processing on a server, but also avoid the condition of overhigh cost caused by replacing the server which does not meet the requirements.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
In the following description, specific details are set forth in order to provide a thorough understanding of the present invention. The invention can be implemented in a number of ways different from those described herein and similar generalizations can be made by those skilled in the art without departing from the spirit of the invention. The invention is therefore not limited to the specific implementations disclosed below.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for testing a distributed object store according to an embodiment of the present invention.
One embodiment of the present invention provides a method for testing distributed object storage, comprising:
s11: and acquiring data parameters of the medical information imaging system. The data parameters of the medical information imaging system comprise image-text data parameters and image data parameters of the medical information imaging system.
S12: and establishing a model for simulating data parameters of the medical information imaging system.
In one embodiment of the present invention, the modeling of data parameters for simulating a medical information-based imaging system includes: and simulating image-text data parameters and image data parameters of the medical information imaging system by using a cosbench tool, and establishing a corresponding model.
S13: and carrying out preset tests on the target storage cluster through the model.
Performing a preset test on the target storage cluster through the model, wherein the preset test comprises the following steps: and performing preset read-write operation on the target storage cluster through a cosbench tool.
S14: and analyzing the test result to obtain the operation performance index of the target storage cluster to the medical information imaging system.
Analyzing the test result to obtain the operation performance index of the target storage cluster to the medical information imaging system, wherein the operation performance index comprises the following steps: acquiring network bandwidth and writing and reading rate information of a target storage cluster according to preset reading and writing operations; analyzing and processing the network bandwidth and the written and read rate information, judging whether the target storage cluster meets a preset operation performance index, and acquiring the expansion performance information and the linear performance degree information of the target storage cluster.
In the embodiment, by installing a testing tool such as a cosbench tool on a target storage cluster such as a server, the data of the regional image system in the medical industry is simulated, and then performing read-write operation on the target storage cluster, the requirement of the distributed storage system on the data performance of the regional image service, and the expansibility and linear performance degree of the storage system are verified. Before the medical information-based image system is established, firstly, data of the medical information-based image system is simulated, corresponding tests are carried out on a target storage cluster, the running performance index of the target storage cluster is obtained according to the test result to judge whether the target storage cluster meets the requirements or not, if the target storage cluster does not meet the requirements, other storage clusters can be selected or the storage cluster can be improved until the requirements are met, so that the requirements of medical information-based image processing on the server can be met, and the condition that cost is too high due to the fact that the server which does not meet the requirements is replaced can be avoided.
Referring to fig. 2 and fig. 3, fig. 2 is a schematic structural diagram of a system for testing a distributed object storage according to an embodiment of the present invention; fig. 3 is a schematic diagram of a hardware structure of a system for testing a distributed object storage according to an embodiment of the present invention.
Accordingly, an embodiment of the present invention further provides a system for testing distributed object storage, including: an obtaining module 21, configured to obtain data parameters of the medical information imaging system; the modeling module 22 is used for establishing a model for simulating data parameters of the medical information imaging system; the test module 23 is configured to perform a preset test on the target storage cluster through the model; and the analysis module 24 is configured to analyze the test result and obtain an operation performance index of the target storage cluster for the medical information imaging system.
Further, the modeling module includes: the simulation unit is used for simulating image-text data parameters and image data parameters of the medical information imaging system through a cosbench tool; and the modeling unit is used for establishing a corresponding model according to the data simulated by the simulation unit.
The test module includes: the read operation testing unit is used for performing preset read operation on the target storage cluster through a cosbench tool; and the write operation testing unit is used for performing preset write operation on the target storage cluster through the cosbench tool.
The analysis module comprises: the acquisition unit is used for acquiring the network bandwidth and the writing and reading rate information of the target storage cluster according to preset reading and writing operations; and the analysis unit is used for analyzing and processing the network bandwidth and the written and read rate information, judging whether the target storage cluster meets a preset operation performance index or not, and acquiring the expansion performance information and the linear performance degree information of the target storage cluster.
Before the medical information-based image system is established, firstly, data of the medical information-based image system is simulated, corresponding tests are carried out on a target storage cluster, the running performance index of the target storage cluster is obtained according to the test result to judge whether the target storage cluster meets the requirements or not, if the target storage cluster does not meet the requirements, other storage clusters can be selected or the storage cluster can be improved until the requirements are met, so that the requirements of medical information-based image processing on the server can be met, and the condition of overhigh cost caused by replacing the server which does not meet the requirements can be avoided.
In this embodiment, preferably, the system builds a distributed storage cluster based on an S3 protocol, and includes a terminal access layer, a pressure layer, and a storage layer, where the terminal access layer communicates with the pressure layer through a local area network, and the pressure layer and the storage layer are connected by using a ten-gigabit optical fiber through an exchange. The terminal access layer comprises a plurality of terminals and switches, the terminals are connected with the local area network through the switches, meanwhile, the SSH protocol is adopted to access the pressure servers of the pressure layer, the pressure layer preferably comprises 3 pressure servers to deploy pressure application programs, the actual user concurrence scene of the module is used for carrying out link aggregation on the storage test, and 4 ten-gigabit network cards/ports. The storage layer comprises 5 node distributed storage servers for storing image data of user concurrent scenes. That is, the terminal access layer implements the functions of the acquisition module and the modeling module, and the pressure layer and the storage layer implement the functions of the testing module and the analysis module.
Specifically, the network is assigned as follows: the pressure server and the storage server are respectively distributed with 1 IPMI, 1 management network port and 4 ten-million IPs, 4 ten-million network ports of each pressure server are aggregated and bound, and 4 ten-million network ports of each storage server are bound in pairs and used for an external network and an internal network.
The test of the test module comprises the test by two modes of disk writing and disk reading, and the disk writing test method comprises the following steps: the 3 pressure servers simulate 40 and send 100G data to the 5 storage servers respectively; the 3 pressure servers simulate 80 and send the data to the 5 storage servers respectively, and send 100G data; the 3 pressure servers simulate 120 and transmit 100G data to the 5 storage servers respectively. The disk read test method is as follows: the 3 pressure servers respectively simulate 40 concurrence to the 5 storage servers and read 100G data; the 3 pressure servers respectively simulate 80 concurrence to the 5 storage servers and read 100G data; the 3 pressure servers simulate 120 concurrence to the 5 storage servers respectively and read 100G data.
Testing by two modes of disk writing and disk reading to obtain related test data and analyzing, wherein the analysis of the disk writing data is as follows: the 3 pressure servers simulate 40 concurrent transmissions to the 5 storage servers respectively, and check the total bandwidth of the pressure end and the write-in rate of the storage end under the condition of transmitting 100G data; the 3 pressure servers simulate 40 concurrent transmissions to the 5 storage servers respectively, and check the total bandwidth of the pressure end and the write-in rate of the storage end under the condition of transmitting 100G data; and (3) simulating 40 and sending the data to 5 storage servers respectively by the pressure servers, and checking the total bandwidth of the pressure end and the write-in rate of the storage end under the condition of sending 100G of data.
Disk read data analysis was as follows: the 3 pressure servers respectively simulate 40 concurrences to the 5 storage servers, and check the total bandwidth of the pressure end and the reading rate of the storage end under the condition of reading 100G of data; the 3 pressure servers respectively simulate 40 concurrences to the 5 storage servers, and check the total bandwidth of the pressure end and the reading rate of the storage end under the condition of reading 100G of data; and (3) simulating 40 concurrency from the pressure servers to the 5 storage servers respectively, and checking the total bandwidth of the pressure end and the reading rate of the storage end under the condition of reading 100G data.
And summarizing after analyzing the test data in the two modes of disk writing and disk reading to obtain the data performance requirement of the distributed storage system on the regional image service and the expansibility and linear expression degree of the storage system.
In summary, before the medical information-based imaging system is established, the method and the system for testing distributed object storage provided by the present invention simulate data of the medical information-based imaging system, perform a corresponding test on the target storage cluster, obtain an operation performance index of the target storage cluster according to a test result to determine whether the target storage cluster meets requirements, and if not, select another storage cluster or improve the storage cluster until the requirements are met, thereby not only ensuring the requirements of the medical information-based imaging processing on the server, but also avoiding the situation of too high cost caused by replacing the server which does not meet the requirements.
A method and system for testing distributed object storage in accordance with the present invention has been described in detail. The principles and embodiments of the present invention are explained herein using specific examples, which are presented only to assist in understanding the method and its core concepts. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.
Claims (6)
1. A method for testing a distributed object store, comprising:
acquiring data parameters of a medical information imaging system; the data parameters of the medical information imaging system comprise image-text data parameters and image data parameters of the medical information imaging system;
establishing a model for simulating data parameters of the medical information imaging system;
performing preset test on the target storage cluster through the model;
analyzing the test result to obtain the operation performance index of the target storage cluster to the medical information imaging system;
wherein the analyzing the test result to obtain the operation performance index of the target storage cluster to the medical information-based imaging system includes:
acquiring network bandwidth and writing and reading rate information of the target storage cluster according to preset reading and writing operations;
analyzing and processing the network bandwidth and the written and read rate information, judging whether the target storage cluster meets a preset operation performance index, and acquiring the expansion performance information and the linear performance degree information of the target storage cluster.
2. The method of claim 1, wherein the modeling data parameters that simulate the medical imaging system comprises:
and simulating the image-text data parameters and the image data parameters of the medical information imaging system by a cosbench tool, and establishing a corresponding model.
3. The method of claim 2, wherein the performing the predetermined test on the target storage cluster through the model comprises:
and performing preset read-write operation on the target storage cluster through the cosbench tool.
4. A system for testing distributed object storage, comprising:
the acquisition module is used for acquiring data parameters of the medical information imaging system; the data parameters of the medical information imaging system comprise image-text data parameters and image data parameters of the medical information imaging system;
the modeling module is used for establishing a model for simulating data parameters of the medical information imaging system;
the test module is used for carrying out preset test on the target storage cluster through the model;
the analysis module is used for analyzing the test result and acquiring the operation performance index of the target storage cluster to the medical informatization image system;
wherein the analysis module comprises:
the acquisition unit is used for acquiring the network bandwidth and the writing and reading rate information of the target storage cluster according to preset reading and writing operations;
and the analysis unit is used for analyzing and processing the network bandwidth and the written and read rate information, judging whether the target storage cluster meets a preset operation performance index or not, and acquiring the expansion performance information and the linear performance degree information of the target storage cluster.
5. The system of claim 4, wherein the modeling module comprises:
the simulation unit is used for simulating image-text data parameters and image data parameters of the medical information imaging system through a cosbench tool;
and the modeling unit is used for establishing a corresponding model according to the data simulated by the simulation unit.
6. The system of claim 5, wherein the testing module comprises:
the read operation testing unit is used for performing preset read operation on the target storage cluster through the cosbench tool;
and the write operation testing unit is used for carrying out preset write operation on the target storage cluster through the cosbench tool.
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| 海量规模下高性能对象存储服务技术的研究;郑庆;《中国优秀硕士学位论文全文数据库 信息科技辑》;20131215;第三章第3.1-3.5节，图3-11 * |
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