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medium Ethernet switches.Network bandwidth guaranteed by 4 Gigabit NICsWithout the functionality of network adapter aggregation, you need to specify a network interface for a very busy virtual machine, but in this case the resources of the physical interface are quickly exhausted. However, the Gigabit Ethernet interface is relatively inexpensive, so if possible, it is best to place four Gigabit Ethernet interfaces on a single server.　　Redundant power

Distributed System design ConceptThe following describes in detail the author's understanding of several distributed system design concepts:1. The distributed system has very low requirements for server hardwareThis is mainly now in the following two areas:Server hardware reliability does not require, to allow server hardware failure, hardware failure by software to fault tolerance. So the high reliability of distributed system is guaranteed by software.The performance of the server does not req

mapreduce. MapReduce is a programming model for parallel analysis operations of large datasets (larger than 1TB).2005 Doug Cutting was also based on MapReduce, which was implemented in the Nutch search engine.In 2006, Yahoo hired Doug cutting,doug cutting to name NDFs and MapReduce upgrades as Hadoop,yahoo opened a separate team for Goug cutting to specialize in the development of Hadoop.It has to be said that Google and Yahoo have contributed to Hadoop. Hadoop Core The core of Ha

Raid--redundant Array of Inexpensive DisksRedundant array of Inexpensive disksRedundancy is not superfluousRAID is the combination of multiple physical hard disks in different ways to form a hard disk group. Provides higher storage performance than a single hard drive and provides data backup technology.RAID resolution issues: storage performance and data security issues.RAID level:0,1,5,6,10,01Classificati

. Here are some basic concepts that must be remembered. Advantages Outsourced virtual Hosting has a number of advantages. In theory, ISPs have a responsibility (theoretically) to master many of the key technical and management details to keep the station functioning properly, including: Hardware Software upgrades InterNIC registration, IP addressing, DNS Mail server (POP/IMAP and SMTP) Broadband Power supply Backup Security If there is something wrong with the user's website, the ISP

4. XML_RPC-based Web services use XML_RPC to construct and use services conveniently. Enterprises deploy XML_RPC servers for their own services. users, customer software, and customers can use these services to construct high-end services or end-user applications. This competition to provide more effective, inexpensive, and high-quality services will greatly improve the quality of application services. 4. XML_RPC-based Web services Using XML_RPC to co

the stack. This representation makes slice operations and passing explicit pointers in C, and length pairs generally inexpensive. The go language initially uses a pointer to the structure above to represent slice, but doing so means that each slice operation allocates a new memory object. Even with a fast dispenser, there is a lot of unnecessary work for the garbage collector. And we found that in the case of the above string, the program avoids slic

1.raidEarly raid:a casefor redundant arrays of inexpensive disk Redundant Array of Inexpensive disksNow raid:a casefor redundant arrays of independent disk Standalone disk arrayraid level: Does not represent the level of high and low, only means that the disk organization is different, there is no upper and lower points. RAID0 : Stripe or striping. Represents the highest RAID level storage performance. The

returns the results from the server to the client requesting the connection on the Internet, Reverse. At this point the proxy server is represented as a server externally.Load BalancingLoad balancing (Outbound load Balancing) based on the existing network structure, it provides an inexpensive and effective way to extend the bandwidth of network devices and servers, increase throughput, enhance network data processing capabilities, and improve network

, Google also published a technical academic paper mapreduce. MapReduce is a programming model for parallel analysis operations of large datasets (larger than 1TB).2005 Doug Cutting was also based on MapReduce, which was implemented in the Nutch search engine.In 2006, Yahoo hired Doug cutting,doug cutting to name NDFs and MapReduce upgrades as Hadoop,yahoo opened a separate team for Goug cutting to specialize in the development of Hadoop.It has to be said that Google and Yahoo have contributed t

need for addressing the magnetic arm movement time and disk rotation time is quite, so, you need to consider the disk steering. Of course, about the disk steering these, to the OS to do is too delicate and tedious. So actually when it comes to operation:First, the OS according to its own scheduling algorithm to give a few candidates, and then to the disk's own scheduling algorithm (SPTF) to specific scheduling, and second, disk scheduling also do I/O merging operations, for example, there are t

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This week's content is amortized analysis, which is another way to analyze the complexity of the algorithm. The basic concept is that given a series of operations, most operations are very inexpensive, and very few operations can be expensive, so a standard worst-case analysis may be too negative. The basic idea, therefore, is that when expensive operations are scarce, their costs may be halved to all operations. If the cost of the manual averaging is

order is submitted successfully. It is necessary for the order consumer process in Message Queuing to actually process the order, even after the product has been out of the library, and then notify the user of the order success by e-mail or SMS message to avoid trading disputes.Anything that can be done later should be done later.3). Using the cluster4). Code optimization:A. Multithreading: From the perspective of resource utilization, there are two main reasons for using Multithreading: IO Blo

and relatively inexpensive. If Joe or Mary's website becomes more popular, Irene Network service provider can provide Joe or Mary with more servers right awayIn this example, the browser sends an HTTP request to www.joes-hardware.com to the IP address of the Joe Server, sending a request to www.marys-antiques.com to the Mary server (different from Joe) 's IP addressVirtual HostingMany people want to show themselves on the web, but their website is no

very inexpensive commercial machines, a single machine can support the transmission of more than 100K messages per second.Supports message partitioning between Kafka servers, and distributed consumption, while guaranteeing the sequential transmission of messages within each partition.It also supports offline data processing and real-time data processing.Scale out: Supports online horizontal scaling.RabbitMQRABBITMQ is an open source message queue wri

Author: Liu Xuhui Raymond reprinted. Please indicate the source Email: colorant at 163.com Blog: http://blog.csdn.net/colorant/ More paper Reading Note http://blog.csdn.net/colorant/article/details/8256145 Keywords GFS Distributed File System = Target question = Build large-scale, scalable, high-reliability, and distributed file systems on relatively inexpensive machines = Core idea = GFS's design philosophy closely revolves around its goals. It

Http://www.cnblogs.com/yxzfscg/p/4758728.htmlThree threads-kernel thread, lightweight process, user threadKernel threadsA kernel thread is a clone of the kernel, and a single clone can handle a specific thing. This is particularly useful when dealing with asynchronous events such as asynchronous IO. The use of kernel threads is inexpensive, and the only resource used is the space for storing registers when the kernel stack and context switches. Multit

verification code will be the user experience as the first round of interviews, the first impression is often about people's judgment, a second to the verification code is the needs of the app developers. There is no quick access to the verification code, the user experience can not talk about; Conversely, a few 10 seconds to receive the verification code of the app, must not be a good app.low cost : high quality and inexpensive goods often have the

maximize the use of caching in your application, you should consider ways to implement caching at all program levels.Steve's Cache Hints? Cache early; cache frequentlyYou should implement caching at every level of your application. Add cache support to the data tier, business logic layer, UI, or output layer. Memory is now very inexpensive-so you can get a lot of performance gains by implementing caching in an intelligent way throughout your applicat