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34-411: Workgroup Server — is a class of servers , oriented for local workgroup , typically for operating with business applications . This term also may refer to: Server (computing) Client–server systems are usually most frequently implemented by (and often identified with) the request–response model: a client sends a request to the server, which performs some action and sends a response back to

68-1107: A computer monitor or input device, audio hardware and USB interfaces. Many servers do not have a graphical user interface (GUI). They are configured and managed remotely. Remote management can be conducted via various methods including Microsoft Management Console (MMC), PowerShell , SSH and browser-based out-of-band management systems such as Dell's iDRAC or HP's iLo . Large traditional single servers would need to be run for long periods without interruption. Availability would have to be very high, making hardware reliability and durability extremely important. Mission-critical enterprise servers would be very fault tolerant and use specialized hardware with low failure rates in order to maximize uptime . Uninterruptible power supplies might be incorporated to guard against power failure. Servers typically include hardware redundancy such as dual power supplies , RAID disk systems, and ECC memory , along with extensive pre-boot memory testing and verification. Critical components might be hot swappable , allowing technicians to replace them on

102-401: A resource) is a server, and the calling process or processes is a client. Thus any general-purpose computer connected to a network can host servers. For example, if files on a device are shared by some process, that process is a file server . Similarly, web server software can run on any capable computer, and so a laptop or a personal computer can host a web server. While request–response

136-755: A server is used. Almost the entire structure of the Internet is based upon a client–server model. High-level root nameservers , DNS , and routers direct the traffic on the internet. There are millions of servers connected to the Internet, running continuously throughout the world and virtually every action taken by an ordinary Internet user requires one or more interactions with one or more servers. There are exceptions that do not use dedicated servers; for example, peer-to-peer file sharing and some implementations of telephony (e.g. pre-Microsoft Skype ). Hardware requirement for servers vary widely, depending on

170-498: A small number of publisher and subscriber nodes and low message volume. However, as the number of nodes and messages grows, the likelihood of instabilities increases, limiting the maximum scalability of a pub/sub network. Example throughput instabilities at large scales include: For pub/sub systems that use brokers (servers), the argument for a broker to send messages to a subscriber is in-band , and can be subject to security problems. Brokers might be fooled into sending notifications to

204-415: A subset of the total messages published. The process of selecting messages for reception and processing is called filtering . There are two common forms of filtering: topic-based and content-based. In a topic-based system, messages are published to "topics" or named logical channels. Subscribers in a topic-based system will receive all messages published to the topics to which they subscribe. The publisher

238-618: Is a collaborative effort, Open Compute Project around this concept. A class of small specialist servers called network appliances are generally at the low end of the scale, often being smaller than common desktop computers. A mobile server has a portable form factor, e.g. a laptop . In contrast to large data centers or rack servers, the mobile server is designed for on-the-road or ad hoc deployment into emergency, disaster or temporary environments where traditional servers are not feasible due to their power requirements, size, and deployment time. The main beneficiaries of so-called "server on

272-406: Is a sibling of the message queue paradigm, and is typically one part of a larger message-oriented middleware system. Most messaging systems support both the pub/sub and message queue models in their API ; e.g., Java Message Service (JMS). This pattern provides greater network scalability and a more dynamic network topology , with a resulting decreased flexibility to modify the publisher and

306-427: Is also less of a concern, but power consumption and heat output can be a serious issue. Server rooms are equipped with air conditioning devices. A server farm or server cluster is a collection of computer servers maintained by an organization to supply server functionality far beyond the capability of a single device. Modern data centers are now often built of very large clusters of much simpler servers, and there

340-402: Is part of the client–server model ; in this model, a server serves data for clients . The nature of communication between a client and server is request and response . This is in contrast with peer-to-peer model in which the relationship is on-demand reciprocation. In principle, any computerized process that can be used or called by another process (particularly remotely, particularly to share

374-641: Is responsible for defining the topics to which subscribers can subscribe. In a content-based system, messages are only delivered to a subscriber if the attributes or content of those messages matches constraints defined by the subscriber. The subscriber is responsible for classifying the messages. Some systems support a hybrid of the two; publishers post messages to a topic while subscribers register content-based subscriptions to one or more topics. In many publish–subscribe systems, publishers post messages to an intermediary message broker or event bus , and subscribers register subscriptions with that broker, letting

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408-415: Is the most common client-server design, there are others, such as the publish–subscribe pattern . In the publish-subscribe pattern, clients register with a pub-sub server, subscribing to specified types of messages; this initial registration may be done by request-response. Thereafter, the pub-sub server forwards matching messages to the clients without any further requests: the server pushes messages to

442-447: Is when subscribers can be added or removed at runtime. This latter approach is used, for example, in database triggers , mailing lists , and RSS . The Data Distribution Service (DDS) middleware does not use a broker in the middle. Instead, each publisher and subscriber in the pub/sub system shares meta-data about each other via IP multicast . The publisher and the subscribers cache this information locally and route messages based on

476-847: The Internet, the dominant operating systems among servers are UNIX-like open-source distributions , such as those based on Linux and FreeBSD , with Windows Server also having a significant share. Proprietary operating systems such as z/OS and macOS Server are also deployed, but in much smaller numbers. Servers that run Linux are commonly used as Webservers or Databanks. Windows Servers are used for Networks that are made out of Windows Clients. Specialist server-oriented operating systems have traditionally had features such as: In practice, today many desktop and server operating systems share similar code bases , differing mostly in configuration. In 2010, data centers (servers, cooling, and other electrical infrastructure) were responsible for 1.1–1.5% of electrical energy consumption worldwide and 1.7–2.2% in

510-599: The United States. One estimate is that total energy consumption for information and communications technology saves more than 5 times its carbon footprint in the rest of the economy by increasing efficiency. Global energy consumption is increasing due to the increasing demand of data and bandwidth. Natural Resources Defense Council (NRDC) states that data centers used 91 billion kilowatt hours (kWh) electrical energy in 2013 which accounts to 3% of global electricity usage. Environmental groups have placed focus on

544-480: The ability for even a low-end web server to syndicate messages to (potentially) millions of separate subscriber nodes. The most serious problems with pub/sub systems are a side-effect of their main advantage: the decoupling of publisher from subscriber. A pub/sub system must be designed carefully to be able to provide stronger system properties that a particular application might require, such as assured delivery. The pub/sub pattern scales well for small networks with

578-437: The abstract form of functionality, e.g. Web service . Alternatively, it may refer to a computer program that turns a computer into a server, e.g. Windows service . Originally used as "servers serve users" (and "users use servers"), in the sense of "obey", today one often says that "servers serve data", in the same sense as "give". For instance, web servers "serve [up] web pages to users" or "service their requests". The server

612-642: The broker perform the filtering. The broker normally performs a store and forward function to route messages from publishers to subscribers. In addition, the broker may prioritize messages in a queue before routing. Subscribers may register for specific messages at build time, initialization time or runtime. In GUI systems, subscribers can be coded to handle user commands (e.g., click of a button), which corresponds to build time registration. Some frameworks and software products use XML configuration files to register subscribers. These configuration files are read at initialization time. The most sophisticated alternative

646-618: The carbon emissions of data centers as it accounts to 200 million metric tons of carbon dioxide in a year. Publish%E2%80%93subscribe pattern In software architecture , publish–subscribe is a messaging pattern where publishers categorize messages into classes that are received by subscribers. This is contrasted to the typical messaging pattern model where publishers send messages directly to subscribers. Similarly, subscribers express interest in one or more classes and only receive messages that are of interest, without knowledge of which publishers, if any, there are. Publish–subscribe

680-421: The client, rather than the client pulling messages from the server as in request-response. The role of a server is to share data as well as to share resources and distribute work. A server computer can serve its own computer programs as well; depending on the scenario, this could be part of a quid pro quo transaction, or simply a technical possibility. The following table shows several scenarios in which

714-468: The client, typically with a result or acknowledgment. Designating a computer as "server-class hardware" implies that it is specialized for running servers on it. This often implies that it is more powerful and reliable than standard personal computers , but alternatively, large computing clusters may be composed of many relatively simple, replaceable server components. The use of the word server in computing comes from queueing theory , where it dates to

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748-415: The common sense of a process performing service for requests, usually remote, with the 1981 version reading: SERVER n. A kind of DAEMON which performs a service for the requester, which often runs on a computer other than the one on which the server runs. The average utilization of a server in the early 2000s was 5 to 15%, but with the adoption of virtualization this figure started to increase to reduce

782-652: The discovery of each other in the shared cognizance. In effect, brokerless architectures require publish/subscribe system to construct an overlay network which allows efficient decentralized routing from publishers to subscribers. It was shown by Jon Kleinberg that efficient decentralised routing requires Navigable Small-World topologies . Such Small-World topologies are usually implemented by decentralized or federated publish/subscribe systems. Locality-aware publish/subscribe systems construct Small-World topologies that route subscriptions through short-distance and low-cost links thereby reducing subscription delivery times. One of

816-534: The earliest publicly described pub/sub systems was the "news" subsystem of the Isis Toolkit, described at the 1987 Association for Computing Machinery (ACM) Symposium on Operating Systems Principles conference (SOSP '87), in a paper "Exploiting Virtual Synchrony in Distributed Systems . 123–138." Publishers are loosely coupled to subscribers, and need not even know of their existence. With

850-411: The go" technology include network managers, software or database developers, training centers, military personnel, law enforcement, forensics, emergency relief groups, and service organizations. To facilitate portability, features such as the keyboard , display , battery ( uninterruptible power supply , to provide power redundancy in case of failure), and mouse are all integrated into the chassis. On

884-611: The locations of the publishers and subscribers but also decouple them temporally. A common strategy used by middleware analysts with such pub/sub systems is to take down a publisher to allow the subscriber to work through the backlog (a form of bandwidth throttling ). Pub/sub provides the opportunity for better scalability than traditional client-server, through parallel operation, message caching, tree-based or network-based routing, etc. However, in certain types of tightly coupled, high-volume enterprise environments, as systems scale up to become data centers with thousands of servers sharing

918-742: The mid 20th century, being notably used in Kendall (1953) (along with "service"), the paper that introduced Kendall's notation . In earlier papers, such as the Erlang (1909) , more concrete terms such as "[telephone] operators" are used. In computing, "server" dates at least to RFC 5 (1969), one of the earliest documents describing ARPANET (the predecessor of Internet ), and is contrasted with "user", distinguishing two types of host : "server-host" and "user-host". The use of "serving" also dates to early documents, such as RFC 4, contrasting "serving-host" with "using-host". The Jargon File defines server in

952-494: The number of servers needed. Strictly speaking, the term server refers to a computer program or process (running program). Through metonymy , it refers to a device used for (or a device dedicated to) running one or several server programs. On a network, such a device is called a host . In addition to server , the words serve and service (as verb and as noun respectively) are frequently used, though servicer and servant are not. The word service (noun) may refer to

986-533: The pub/sub infrastructure, current vendor systems often lose this benefit; scalability for pub/sub products under high load in these contexts is a research challenge. Outside of the enterprise environment, on the other hand, the pub/sub paradigm has proven its scalability to volumes far beyond those of a single data center, providing Internet-wide distributed messaging through web syndication protocols such as RSS and Atom . These syndication protocols accept higher latency and lack of delivery guarantees in exchange for

1020-564: The running server without shutting it down, and to guard against overheating, servers might have more powerful fans or use water cooling . They will often be able to be configured, powered up and down, or rebooted remotely, using out-of-band management , typically based on IPMI . Server casings are usually flat and wide , and designed to be rack-mounted, either on 19-inch racks or on Open Racks . These types of servers are often housed in dedicated data centers . These will normally have very stable power and Internet and increased security. Noise

1054-412: The server's purpose and its software. Servers often are more powerful and expensive than the clients that connect to them. The name server is used both for the hardware and software pieces. For the hardware servers, it is usually limited to mean the high-end machines although software servers can run on a variety of hardwares. Since servers are usually accessed over a network, many run unattended without

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1088-453: The structure of the published data. According to Gregor Hohpe, compared with synchronous messaging patterns (such as RPC ) and point-to-point messaging patterns, publish–subscribe provides the highest level of decoupling among architectural components, however it can also couple them in some other ways (such as format and semantic coupling) so they become messy over time. In the publish–subscribe model, subscribers typically receive only

1122-428: The topic being the focus, publishers and subscribers are allowed to remain ignorant of system topology. Each can continue to operate as per normal independently of the other. In the traditional tightly coupled client–server paradigm , the client cannot post messages to the server while the server process is not running, nor can the server receive messages unless the client is running. Many pub/sub systems decouple not only

1156-415: The wrong client, amplifying denial of service requests against the client. Brokers themselves could be overloaded as they allocate resources to track created subscriptions. Even with systems that do not rely on brokers, a subscriber might be able to receive data that it is not authorized to receive. An unauthorized publisher may be able to introduce incorrect or damaging messages into the pub/sub system. This

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