Internet能否作为你备份数据的设备?通过CompuServe提供的McAfee Personal Vault和Surefind这两个新的服务,可以在Internet上备份PC机中的数据。MCI和Xact Labs不久也将提供他们自己的联机备份解决方案。这些新的服务并没有使用磁带机,...Internet能否作为你备份数据的设备?通过CompuServe提供的McAfee Personal Vault和Surefind这两个新的服务,可以在Internet上备份PC机中的数据。MCI和Xact Labs不久也将提供他们自己的联机备份解决方案。这些新的服务并没有使用磁带机,但它们确实提供了某些关键性的先进技术,包括随机访问和安全方便地脱网(off-site)保存最有价值的数据。Personal Vault名为WebStor的客户软件及Su9efind均运行在Microsoft Windows下,并使用一个象Explorer的界面去选择文件。模板能够引导用户完成设置过程、配置连接。展开更多
In order to share multimedia transmissions in mesh networks and optimize the utilization of network resources, this paper presents a Two-stage Evolutionary Algorithm (TEA), i.e., unicast routing evolution and multicas...In order to share multimedia transmissions in mesh networks and optimize the utilization of network resources, this paper presents a Two-stage Evolutionary Algorithm (TEA), i.e., unicast routing evolution and multicast path composition, for dynamic multicast routing. The TEA uses a novel link-duplicate-degree encoding, which can encode a multicast path in the link-duplicate-degree and decode the path as a link vector easily. A dynamic algorithm for adding nodes to or removing nodes from a multicast group and a repairing algorithm are also covered in this paper. As the TEA is based on global evaluation, the quality of the multicast path remains stabilized without degradation when multicast members change over time. Therefore, it is not necessary to rearrange the multicast path during the life cycle of the multicast sessions. Simulation results show that the TEA is efficient and convergent.展开更多
文摘In order to share multimedia transmissions in mesh networks and optimize the utilization of network resources, this paper presents a Two-stage Evolutionary Algorithm (TEA), i.e., unicast routing evolution and multicast path composition, for dynamic multicast routing. The TEA uses a novel link-duplicate-degree encoding, which can encode a multicast path in the link-duplicate-degree and decode the path as a link vector easily. A dynamic algorithm for adding nodes to or removing nodes from a multicast group and a repairing algorithm are also covered in this paper. As the TEA is based on global evaluation, the quality of the multicast path remains stabilized without degradation when multicast members change over time. Therefore, it is not necessary to rearrange the multicast path during the life cycle of the multicast sessions. Simulation results show that the TEA is efficient and convergent.
