catalyst 4900

A. About stacking technology: How does the 1.Catalyst 3500XL/2900XL stack be implemented? A. Special tiered cabling is required, 1 m long or 50 cm long (cab-gs-1m or cab-gs-50cm) and a dedicated gigabit stacked card Gigastack GBIC (WS-X3500-XL) (which already contains cab-gs-50cm stacked cables). B. There are 2 stacking methods available: Daisy Chain (providing 1G of bandwidth) or point-to-point method (2G bandwidth available). C. 2 ways to do back

the storage network mass data transmission channel, a large number of mega-bandwidth convergence of the metropolitan Area Network, large financial institutions of data concentration, enterprise core business, ERP, CRM and other complex application extensions. Today gigabit as the backbone, hundred trillion for access to the mainstream structure, will gradually to the million trillion backbone, gigabit access to the structure of the transition. The new generation of Cisco Switch products

(Vlan) # vlan 8 name Logan (Vlan) # vlan 10 name Katie (Vlan) # exit # Copy running-config startup-config TRUNK An example of the Catalyst OS configuration for Distribution_1 follows: Distribution_1 (enable)> clear trunk 1/1 2-1001 Distribution_1 (enable)> set trunk 1/1 desirable isl 10 Distribution_1 (enable)> clear trunk 2/1 2-1001 Distribution_1 (enable)> set trunk 2/1 on dot1q 5, 8, 10 An example of the

It's classic. I use it.DeploymentsThe deployments in this document were implemented in an isolated lab environment. the deployments were cleared by issuing the write erase command on the routers, and the clear config all command on the switches to ensure that all devices have a default configuration. make sure you understand the potential impact of any configuration or command on your network before using it.Catalyst 6500 SwitchNote: The following screen captures show the commands that were ente

devices, evidence should be collected as soon as possible. We cannot place network analysis or intrusion detection devices next to each access layer switch, or carry the analyzer to the wiring room when suspicious traffic is detected. With the above analysis, we will see how to use the Catalyst function to meet these needs! Detects suspicious traffic Cat6500 and Catalyst 4500 (Sup IV, Sup V and Sup V-10 GE

should be collected as soon as possible. We cannot place network analysis or intrusion detection devices next to each access layer switch, or carry the analyzer to the wiring room when suspicious traffic is detected. With the above analysis, we will see how to use the Catalyst function to meet these needs! Detects suspicious traffic Cat6500 and Catalyst 4500 (Sup IV, Sup V and Sup V-10 GE). It provides a h

addition to quickly locating the physical location of the suspect device, there is a means to gather evidence as soon as possible. It is not possible to place a network analysis or intrusion detection device next to each access layer switch, or to carry an analyzer to the wiring compartment when suspicious traffic is found. With the above analysis, let's look at how to use the catalyst function to meet these needs! detects suspicious traffic Cat6

as the rapid development of the storage network required mass data transmission channel, a large number of mega-bandwidth convergence of the metropolitan Area Network, the continuous rich broadband applications required bandwidth support, large financial institutions of the data concentration, enterprise core business, ERP, CRM and other complex application extensions. Today, the mainstream structure of gigabit backbone and gigabit access will gradually transition to the gigabit backbone and gi

Special Note: Some of the following drivers are specifically designed for Windows Vista RTM, some of which were released prior to the introduction of Windows Vista RTM, and are not guaranteed to be available in Vista RTM. We will indicate whether or not to support RTM in each of the following drives, please read it carefully. In addition, after the Vista RTM release, more and more manufacturers will be released for Vista RTM, the official version of the driver, please pay close attention to our

Tags: query rdd make function object-oriented writing member map compilationPreface: Some logic with spark core to write, it will be more trouble, if the use of SQL to express, it is too convenientFirst, what is Spark SQLis a Spark component that specifically handles structured data Spark SQL provides two ways to manipulate data: SQL query Dataframes/datasets API Spark SQL = Schema + RDDSecond, Spark SQL introduced the main motiveWrite and run spark programs faster Write less code, read less dat

Echarts-echart and springMVC implement a stack chart (read JSON file data) This echarts stack diagram is mainly based on this D3.js stack diagram (http://blog.csdn.net/u013147600/article/details/46770415) implementation. : 1. JSON file data: {Name: profit of a city in 2005-3000, product: [{name: PC, sales: [{year: 2006, profit: 1300}, {year:, profit }, {year: 2007, profit: 3700}, {year: 2008, profit: 4900}, {year: 2009, profit: 700}, {year: 2010, p

This echarts stack diagram is based primarily on this d3.js stack diagram (http://blog.csdn.net/u013147600/article/details/46770415).：1.JSON File Data:{"Name": "A city 2005-1010 profit situation", "product": [{"Name": "PC", "Sales": [{"Year": "2005", "Profit": "},{", "2006", "Profit": 1300},{"Year": "X", "Profit": 3700},{"Year": "$", "profit": 4900},{"Year": "OK", "profit":},{"y Ear ":", "Profit": "},{", "name": "SmartPhone", "Sales": [{"Year": "2

, profit:370 0},{year:2008, profit:4900},{year:2009, profit:700}]},{name: "SmartPhone", sales: [{year:2005, profit:2000 },{year:2006, profit:4000},{year:2007, profit:1810},{year:2008, profit:6540},{year:2009, profit:2820}]},{na Me: "Software", sales: [{year:2005, profit:1100},{year:2006, profit:1700},{year:2007, profit:1680},{year:20 , profit:4000},{year:2009, profit:4900}]} ];The dataset is an arra

) [4] = = Array ([sid] = 3671092 [Recetcstoredpay ] = [Recetclprinciple] = 46930 [Paytcstoredpay] = 128090 [PAYTCLPR Inciple] = 149800 [sname] + Jinfeng District new building) [5] = = Array ([SID] =g T 1858783 [Recetcstoredpay] = 2040 [recetclprinciple] = 4465 [Paytcstoredpay] = 245 [Paytclprinciple] [4900] [sname] = Zhejiang xizi hotel) [6] = = Array ([SID] = 16832117 [Recetcstoredpay] = 81600 [Recetclprinciple] =G T 470930 [Paytcstoredpay]

[Paytcstoredpay] = 5710 [paytclprinciple] + 37800 [Sname] = jiangdong North Road store) [4] = = Array ([sid] = 3671092 [Recetcstoredpay] = [Recet Clprinciple] = 46930 [Paytcstoredpay] = 128090 [Paytclprinciple] = 149800 [sname] = Golden Phoenix District new Building) [5] = = Array ([SID] = 1858783 [Recetcstoredpay] = 2040 [recetclprinciple] = 4465 [Paytcstoredpay] =gt ; 245 [Paytclprinciple] = 4900 [sname] = Zhejiang xizi hotel) [6] = = Arr

:286951,281870:5081:4800:-281,percent=-5%usleep:293058,286958:6100:4800:-1300,percent=-27%select:298154,293065:5089:4900:-189,percent=-3%usleep:304253,298161:6092:4900:-1192,percent=-24%select:309335,304261:5074:5000:-74,percent=-1%usleep:315429,309342:6087:5000:-1087,percent=-21%select:321532,315437:6095:5100:-995,percent=-19%usleep:327621,321540:6081:5100:-981,percent=-19%select:333732,327628:6104:5200:-9

between subsequent request and response you can use HTTP compression. HTTP compression is a feature of IIS and what it means is that you can compress data sent to the client using compression techniques like gzip and deflate. on the other side the browser decompresses the data and shows the response to the client. most of the modern browser are capable of handling compressed data. you will certainly get a huge performance boost if your page size is large. For more details on HTTP compression

as follows:Local endpoint:127.0.0.1:1025 remote endpoint:127.0.0.1:1026 establishedlocal endpoint:127.0.0.1:1026 remote Endpoint : 127.0.0.1:1025 establishedlocal endpoint:127.0.0.1:1028 Remote endpoint:127.0.0.1:16992 CloseWaitLocal endpoint: 127.0.0.1:1110 remote endpoint:127.0.0.1:4900 establishedlocal endpoint:127.0.0.1:2754 remote endpoint: 127.0.0.1:1110 closewaitlocal endpoint:127.0.0.1:2762 Remote endpoint:127.0.0.1:1110 closewaitlocal endpoi

+(Qcal*(Lmax-Lmini)/Qmax) LI=(0.01*ESUNI71*cos*cos)/(math.pi*D*D) Lhazel=LIMIN-LI 3. Calculate the reflectivity of Remote Sensing ImagesBased on the principle and process of solar radiation and atmospheric transmission, the mathematical model of the TM/ETM + Data land reflectivity inversion can be comprehensively expressed: Among them: p -- relative reflectivity of the ground; D -- astronomical unit distance of the day and ground; LsatI -- spectral radiation value of the sensor, that is, the

; 56930 [paytcstoredpay] => 5710 [paytclprinciple] => 37800 [sname] => Jiangdong North Road Branch) [4] => Array ([sid] => 3671092 [recetcstoredpay] => 1280 [recetclprinciple] => 46930 [paytcstoredpay] => 128090 [paytclprinciple] => 149800 [sname] => jinfeng new pavilion) [5] => Array ([sid] => 1858783 [recetcstoredpay] => 2040 [recetclprinciple] => 4465 [paytcstoredpay] => 245 [paytclprinciple] => 4900 [sname] => Zhejiang xizi hotel) [6] => Array ([s