pmo metrics

for the report;Groupfooterband (group tail):At the end of each group, or at the bottom of the group, across multiple pages. This band is mainly designed to display summary information for each group;Reportfooterband (end of report):In the report end location. This band is designed to display some of the ultimate information, such as report summaries;Pagefooterband (Footer):At the bottom of each page, below Reportfooterband and above Bottomfooterband, this band is designed to be used for page nu

CPU utilization, indicating that a certain part of the system bottleneck indicates that the system kernel consumes more CPU resources, usually the lower the better, this is not benign performance, we should check the cause.3) Latency (waiting time)The amount of time the CPU spends waiting for the I/O operation to complete. The system department should spend a lot of time waiting for I/O operations, otherwise the I/O has a bottleneck.4) Idle time (idle)The system is in an idle period, waiting fo

one of the most recent database errors in deploying a system with Hyper-V virtual machines is as follows:1. Stop the Hyper-V of an existing server environment and copy the VHD file .2, create a new virtual machine, select the files to be copied out3. Start a new virtual machine, change the computer name of the virtual machine, and modify the monitoring and service name of the Oracle database. 4. Restart the Oracle instance and listen. 5, connect to the database, found to report the following err

dimension at the lowest level of granularity, and then averages the values. (non-loophole member) ByAccount-When a cube contains a dimension of an account type, you need to use the aggregate by Account function. The per-account aggregation function for a measure is a property of the dimension accounts member. Non-additive-the value of a parent member cannot be valued by its own. DistinctCount-a non-repeating calculation that counts columns that have no duplicates in the fact t

information blocks in the cache that IIS Global totals URIs Cached has added to the WWW and FTP services.The rate at which Web trace Requests/sec HTTP requests using the trace method.ASP transactions aborted the number of transactions that have been terminated.ASP Transactions Committed The number of committed transactions.The number of transactions being processed by ASP transactions Pending.ASP transactions total number of transactions since service startup.ASP transactions/sec The number of

, Getmbeanname, Startreporter and Stopreporter. It is worth mentioning that in the Init method it creates a subdirectory that defaults to Kafka_metrics. Then determine if the kafka.csv.metrics.reporter.enabled is set to True, if true, call the Startreporter method to open the report, otherwise it will end directly.Wu, Kafkametricsgroup.scalaThe Scala defines a trait and an object. As the kafkametricsgroup trait, as the name implies, this should be a metric group, defined a lot of methods, the ma

Query of various graphics card metrics Why? What is its use? This great list details the performance of each chipset graphics card of each vendor in each period It can provide reference for your engine programmers,What kind of graphics technology is suitable for current use,What Is Too avant-garde and what has become a de facto standard,It can also provide a reference for the engine and graphics technology in what time the product applies. The mai

Measure the test taker's knowledge about the metrics in vmstat by reading the source code. The vmstat-a command can see active memory and inactive memory, but what do they mean? $ vmstat-a procs -----------memory-------------swap-------io-----system--------cpu----- r b swpd free inact active si so bi bo in cs us sy id wa st 1013809631956013724081757848002323109900 Their meanings are described in manpage, but not in detail: inact: the amount of

classification. When the probability of n classification in S is as large (all 1/n), the information entropy takes the maximum value log2 (n). When x has only one classification, the information entropy takes the minimum value of 0References: [1] Wu. The beauty of Mathematics series 12-cosine theorem and the classification of news.Http://www.google.com.hk/ggblog/googlechinablog/2006/07/12_4010.html[2] Wikipedia. Jaccard index.Http://en.wikipedia.org/wiki/Jaccard_index[3] Wikipedia. Hamming dist

This article and everyone to share is mainly Python to calculate the AUC index related content, together to see it, hope to learn python to help you.1. Installing Scikit-learn1.1scikit-learn Dependency· Python (>= 2.6 or >= 3.3),· NumPy (>= 1.6.1),· SciPy (>= 0.9).View each of the three dependent versions above,Python-v Result: Python 2.7.3Python-c ' Import scipy; Print scipy.version.version ' scipy version results: 0.9.0Python-c "Import numpy; Print numpy.version.version "NumPy Result: 1.10.21.

1. Installing Scikit-learn1.1scikit-learn Dependency Python (>= 2.6 or >= 3.3), NumPy (>= 1.6.1), SciPy (>= 0.9). View each of the three dependent versions above,Python-v Result: Python 2.7.3Python-c ' Import scipy; Print scipy.version.version ' scipy version results: 0.9.0Python-c "Import numpy; Print numpy.version.version "NumPy Result: 1.10.21.2 Scikit-learn InstallationIf you have installed NumPy, scipy, and Python and all meet the required conditions in 1.1, you can ru

Ethernet packets.10, outgoing packets rate:outgoing Ethernet packets per secondThe number of outgoing Ethernet packets per second.11. Page-in Rate:number of pages read to physical memory, per secondThe indicator indicates the number of pages exchanged to physical memory per second.12. Page-out Rate:number of pages written to pagefile (s) and removed from physical memory, per secondRepresents the number of pages per second that are removed from physical memory or written to the page.13. Paging R

Label:This paper mainly explains MySQL performance bottleneck analysis, performance indicators, performance index information collection tools and methods, analysis of the use of tuning tools.The article has not been completed, the following is an outline.Performance bottlenecks:SlowPerformance Index:Frequency of VisitsNumber of concurrent connectionsCache Hit RatioIndex useSlow log opening and analysisQuery LogIndicator Information collection:Dstat--mysql5-io--mysql5-cmds--mysql5-keys "See refe

Evaluation algorithm Excellent program, commonly used a series of indicators to measure, mainly including: Precision,recall,f-1 score, why design these values? Can't I use precision alone?1, what is precision?Precison, accuracy, mainly indicates how much of the detected alert is the correct judgment (True POSITIVE,TP).In practice, due to the different proportions of normal and abnormal data in the sample, accuracy can not reflect the real algorithm performance, for example:Cancer detection: It i

Indicators that measure the difference of two orders1. Fitness\[F = \frac{1}{z} \sum_j \frac{w_j}{\alpha (|p_i-q_j|+1) + (1-\alpha) p_i} \]which $p _j$ The position of the result of section $j$ in the sorted order $q _j$ The position of the $j$ result of the sorted order in the standard sort $w _j$ the weights on position $j$ in the standard sort $Z $ normalization factor 2. Kendall tau distance (wikipedia)\[k = \frac{2}{n (N-1)} \sum_{i=1}^{n-1} \sum_{j\[k (i,j) = \begin{cases}

#!/usr/bin/envpython#-*-coding:utf8-*-"" "@Author :villiamsheng@group: LinuxGroup@Date:2011-07-18@Funtion: Updatekvmhoststatus... get_nic:getaweeknetwork flow1, getsevendaysbeforeflow,getmaximumvalue! 2,GetSevendaysbefore flow,getaveragevalue! "" "Importos,sys,libvirt,socket,shutil,refromstatvfs importf_blocks,f_bavail,f_bsizeclasskvm_os_status (object): def __init__ (self): NBSP;NBsp;self.vmm={} Try:self.conn=libvirt.open (None) exceptlibvirt.libvirtError,e: printedefget_ Mem (self):try: f=open

TPS in the formula to get the number of transitions that each thing causes. Therefore, to reduce the CSR, you must work on the switch caused by each TPS, only n this value down, the CSR can be reduced, ideally n=0, but in any case, if n >= 4, you should check. In addition to the online csr Additional Information: These three metrics can be monitored in loadrunner, and in Linux, you can also use Vmstat to view R (Load arerage), in (Interrupt) and

How to view disk I/O operation information The SET STATISTICS IO on command is a message that enables SQL Server to display information about the amount of disk activity generated by Transact-SQL statements. We can be very useful when analyzing index performance. With this property enabled, after executing the SQL statement, we receive information similar to the following, which helps us analyze SQL performance: (3999 row (s) affected) Table ' Chargecl '. Scan count 1, logical read 9,547 times

I. Assessment METHODOLOGY 1. Leave the method The set up method directly divides the dataset D into two mutually exclusive collections, one of which is used as the training set S and the other as the test set T, and the T is used to evaluate the test error as an estimate of the generalization error when the model is trained at S. 2. Cross-validation method "Cross-validation" first divides the dataset D into K-sized mutually exclusive subsets, each of which maintains the consistency of the data d

student's performance, use the following statement: db.students.aggregate([{$project: {minScore: {$min: "$scores.score"}}}]) The statement inside minScore is equal to an alias and can be used for other. The results are as follows: { "_id" : 1, "minScore" : 34.85718117893772 } { "_id" : 3, "minScore" : 1.694720653897219 } { "_id" : 2, "minScore" : 6.301851677835235 } { "_id" : 4, "minScore" : 19.21886443577987 } { "_id" : 5, "minScore" : 10.53058536508186 } { "_id" : 7, "minScore" : 42.487806669