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speci c locations that rarely change Equipment is connected through wires that have xed network capacity (such as bers) Even the management of cellular data networks (which are wireless and support mobility of network elements) has focused mostly on the management of the xed infrastructure of the cellular network, namely the towers and the networks interconnecting the towers In the case of static networks, network engineers typically spend a signi cant effort in designing these networks when they are initially set up Following this, only incremental changes are typically made to them as the needs of the applications for additional traf c grow These changes are usually infrequent and incremental, and therefore have not been a signi cant focus in terms of automation Changes to con guration of such networks have mostly been a manual process in which experienced network administrators make the changes based on their understanding of the user and application needs and their past experience with such changes As networks have grown and become more complex, the management of these networks has become more dif cult The level of change in the network architecture and con guration has also increased In addition to changes due to addition of new users, introduction of new applications, and increase in the traf c demands, network administrators have to deal with changes intrinsic to the network such as network congestion, where portions of the network become overloaded and require modi cations to the architecture, and network attacks, where malicious users attempt to disrupt the operation of the network Two particular challenging problems associated with existing network management approaches are: (1) dealing with the increasing numbers of controllable parameters in a network; and (2) managing changes in networks through manual processes The protocols that a typical router supports have grown in number and complexity and have exposed a variety of new con guration parameters that need to be con gured by network administrators With the introduction of various quality of service (QoS) schemes, MAC layer schemes, access control schemes, packet ltering, and rewall functions, network administrators have many more parameter options to select when con guring the network Typical network management systems tend to expose all of the possible con guration parameters to network administrators in order to provide exibility Selecting the correct values for all such parameters is a dif cult and error-prone process The additional challenge for network administrators is supporting changes to already con gured networks Since networks have become much larger and more complex with an increasing number of con gurable parameters, adding new equipment, links, users, and applications to an existing network is much more dif cult to do without an automated process This is because the administrators have a hard time understanding the potential impact of any changes they may make to the network Manual processes for anaging networks today are typically error prone and slow since it takes a signi cant effort over a long period of time for an administrator to gure out the new con guration As a result, managing change in today s networks has become a great challenge The challenges of today s network management are exacerbated in the wireless ad hoc networking environment Such networks are usually large and complex because they typically use diverse physical layer, link layer, and network layer techniques It is very dif cult for a human to deal with changes in such networks due to the number of con gurable parameters that can potentially impact the operation of the network Wireless ad hoc networks also normally operate in a very volatile environment Network conditions change very rapidly as nodes move around Nodes may lose and regain connectivity as nodes move in and out of coverage The terrain changes due to the node movements may impact which nodes are connected with each other and the quality of the links connecting them. java upc-a Generate UPC-A barcode in Java class using Java UPC-A ...
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Clinical Neuropsychologist, 8, 394 404. Hawkins, K. A., Sullivan, T. E., & Choi, E. J. (1997). 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