CN102004671B - Resource management method of data center based on statistic model in cloud computing environment - Google Patents
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- Under the cloud computing environment data center based on the method for managing resource of statistical model, it adopts real-time load and monitoring resource mode, by statistical model analyzing and processing monitor data, generate the ideal Distribution data, process in conjunction with actual conditions by controller, output actual allocated data-guiding system resource allocation, it is characterized in that: the method may further comprise the steps:Step 1: dynamic collection application program load information and data center's resource using information;Step 2: the information of collecting is inputed to statistical model as the input data, and main body adopts KCCAAlgorithm and remote related algorithm distribute according to the output adjustresources data analysis and prediction;Step 3: according to four kinds of mode of operations that design in the model controller, definition and adjustment control parameter,Use the method adjustresources quantity allotted of machine learning to satisfy SLA;Step 4: data are analyzed in output, and guidance system carries out resource and distributes, and the while is new data more.
- Under a kind of cloud computing environment according to claim 1 data center based on the method for managing resource of statistical model, it is characterized in that: the described application program load information of step 1 mainly is the per second number of request, namely uses the number of this application program in the current period; Difference according to different application program resource requirements, also need to collect the resource using information of CPU, I/O and internal memory, max cap. according to behaviour in service and surplus resources assessment virtual machine, to satisfy the application program capacity demand, avoid dividing timing because of resource and surpass the hydraulic performance decline that the virtual machine max cap. causes, be the best between the collection cycle of application program load information and data center's resource using information take 0.8 second~1.2 seconds.
- Under a kind of cloud computing environment according to claim 1 data center based on the method for managing resource of statistical model, it is characterized in that: the described KCCA algorithm of step 2 has the superperformance of processing nonlinear data, mainly according to the load state of input data prediction in 5 minutes futures, consider node location, the resource behaviour in service generates application program capacity and resource model, further calculate desirable resource allocation conditions, remote related algorithm is by the degree of correlation between correlation parameter computing application program resource demand, choose least correlativing coefficient, guarantee that the resource of distributing has minimum relatedness, avoid resource contention, realize the effective supply of resource elasticity, the data analysis algorithm in the statistical model is done corresponding adjustment by the keeper according to system's actual conditions.
- Under a kind of cloud computing environment according to claim 1 data center based on the method for managing resource of statistical model, it is characterized in that: the described mode of operation of step 3 is according to existing web application load variations rule, be divided into round the clock pattern, the working day/weekend pattern, great holiday pattern and four kinds of patterns of user's autonomous mode; Controller has reflected that controlled variable is that performance parameter and the processed variable that current measurement is exported namely pass by and current reference input the dynamic relationship between the various resources of distribution; Under the different mode of operations collection cycle of needed application program load information and data center's resource using information and since controller shake caused control parameter all can be different, thereby optimize the mapping relations between virtual resource and the application service, satisfy the application service rank target SLO of application service; Above-mentioned mode of operation is done corresponding adjustment by the keeper according to system's actual conditions.
- 5. data center is characterized in that based on the method for managing resource of statistical model under a kind of cloud computing environment according to claim 1: the described analysis data of step 4 refer to by resulting resource allocation data behind statistical model and the controller strategy; This data communication device is crossed access control parameter after the statistical model analysis, analyze in conjunction with current actual conditions, avoid underestimating the generation that the resource contention that causes or some application can't obtain enough this situations of resource because of system situation, after resource has assigned, upgrade the surplus resources data, realize that one takes turns the resource allocation flow.
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