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Titlebook: Smart Collaborative Identifier Network; A Promising Design f Hongke Zhang,Wei Su,Wei Quan Book 2016 Springer-Verlag Berlin Heidelberg 2016

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楼主: Lampoon
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Mobility Management in SINETIn this chapter, we introduce four mobility management schemes available in SINET’s architecture. SINET facilitates mobile nodes’ locator changes at any time without disrupting the ongoing communication sessions. Thus, it can support efficient mobility, global routing scalability and location privacy.
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Applications of SINETIn this chapter, we introduce the real applications of SINET. As a new future collaborative Internet architecture, it provides a comprehensive and effective solution against the problems existing in the current Internet system, such as scalability, mobility, security, resource utilization and so on.
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Hongke Zhang,Wei Su,Wei QuanBroadens readers’ understanding of the future and current Internet design with clearly presented contents, theories and the state-of-the-art technologies..Provides a promising design for future Intern
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eadable and appropriate for any future processing. The objects that accomplish the task of producing log information in different formats are called Formatter objects. In this chapter, we will examine the default Formatter objects provided within the API and explore how to write new Formatter object
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Hongke Zhang,Wei Su,Wei Quan situational-language contexts or as isolated signs detached from such contexts? In the first case, they are language ., existing material objects perceived through the senses, with a fixed temporal-spatial location, in the other one—they are . and as such (as the majority or researchers in the fiel
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Hongke Zhang,Wei Su,Wei Quanallows some optimizations which are not feasible using existing partial evaluation techniques. We argue that our proposal goes beyond existing ones in that it is a) accurate, since the classification of pure vs impure is done at the level of atoms instead of predicates, b) extensible, as the informa
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allows some optimizations which are not feasible using existing partial evaluation techniques. We argue that our proposal goes beyond existing ones in that it is a) accurate, since the classification of pure vs impure is done at the level of atoms instead of predicates, b) extensible, as the informa
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