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Well-known self-healing systems that are used in practice today exist largely in the context of wireline telecommunications systems. Widespread and commercial deployment of self-healing in wireless networks is still in its early stages [Kant et al., 2002; Kant and Chen, 2005; Sadler et al., 2005]. A majority of the well-known self-healing mechanisms in existence today function within a single layer of the OSI stack, namely the physical layer. In addition, they employ the philosophy of resource redundancy for handling failures; in other words, certain pieces of equipment are dedicated to providing backup functions solely for the purpose of restoration/failure handling. This results in a requirement for standby equipment that remains idle during normal working conditions. In the event of a network equipment failure, an automatic switchover occurs from the malfunctioning or failed equipment to the standby equipment. For this reason, this self-healing mechanism is also referred to as an APS (Automatic Protection Switching) mechanism. Examples of widely used APS self-healing mechanisms in use today are SONET self-healing rings, Bidirectional Line Switched Rings (BLSRs) [Wu, 1992], and so on. Another speci c example of APS in traditional wireline networks was illustrated in Section 7.4.1.3 (Step 3.1.1.1); the example there discussed routers that are deliberately not run at full capacity and that have several interfaces that are kept idle intentionally to serve as standby in case of failures. While the main advantage of an APS philosophy is the excellent response time (with a typical restoration delay of less than 50 msec), it has several disadvantages from the perspective of MANETs:

Because strategic opportunities are by de nition uncertain and connected to the possession of unique information or resources, strategic analysis must be situational. Just as there is no algorithm for creating wealth, strategic prescriptions that apply to broad classes of rms can only aid in avoiding mistakes, not in attaining advantage. (in Foss 1997, 143)

Another analogy-based approach for estimating the effort for a project with a functional prototype is to use the following, already-known, data:

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needs to forward a packet may choose to use such a tunnel instead of forwarding the packet to the next router Of course such a choice exists only if a tunnel to the particular destination is available, and if the packet is in the traf c aggregate for which the network uses this special service Of course, it may not be possible to construct such sink trees for every possible destination in the Internet (although it may be possible in private IP networks) MPLS is mainly used in the core of the Internet where each router i at the periphery of the core is responsible for handling the traf c to and from a speci c set of networks Ni .

The Thread-Safe Interface pattern is related to the Decorator pattern [GoF95], which extends an object transparently by attaching additional responsibilities dynamically. The intention of the Thread-Safe Interface pattern is similar, in that it attaches robust and efficient locking strategies to make components thread-safe. The primary difference is that the Decorator pattern focuses on attaching additional responsibilities to objects dynamically, whereas the Thread-Safe Interface pattern focuses on the static partitioning of method responsibilities in component classes. Components designed according to the Strategized Locking pattern (333) should employ the Thread-Safe Interface pattern to ensure that the component will function robustly and efficiently, regardless of the type of locking strategy that is selected. Java implements locking at the method level via monitor objects (399) designated by the synchronized keyword. In Java, monitors are recursive. The problem of self-deadlock therefore cannot occur as long as developers reuse the same monitor, that is, synchronize on the same object. However, the problem of nested monitor lockout [JS97a] [Lea99a] can occur in Java if multiple nested monitors are used carelessly. The problem of locking overhead depends on which Java Virtual Machine (JVM) is used. If a specific JVM implements monitors inefficiently and monitors are acquired recursively, the Thread-Safe Interface pattern may be able to help improve component run-time performance.

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