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Using Barcode Control SDK for VS NET Control to generate, create, read, scan barcode image in NET framework applications The Active Delay Control technique (described in Section 1042 is indicative of end-to-end versus point-to-point tradeoffs; the idea of imposing an arti cial delay on packet transmission to avoid RTOs is implemented on the one hand by altering end-to-end agents only (in the cases of 1-bit RDC and SDC) and on the other by point-to-point changes (in the case of Exact RDC) The point-to-point approaches outlined in this chapter primarily involve changescoupling with some network layer (IP) mechanism For instance, the DATA/ACKbundling approach suggested in Section 1043 and the COPAS method in Section 104.

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3 require processing of TCP segments at intermediate nodes, which implies functionality not normally implemented on the Internet; this fact precludes the use of these techniques in a mixed setting where legacy nodes might be present The Split TCP approach in Section 1043 involves the creation of TCP proxies along the communications path which breaks the end-to-end paradigm of TCP, but requires only a simple modi cation at each node in the path Although incremental adoption of this technique is not taken into account in the original proposal, it is likely that the scheme could be adapted to set the inter-proxy distance in such a way as to establish proxies only at nodes (if any) that implement Split TCP Finally, the last scheme discussed, which de nes an optimization in the default 80211 link layer mechanism, does not involve TCP or IP level changes.

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Instead, the modi cations are MAC layeroriented, which in turn means they can be gradually implemented, can maintain the end-to-end TCP paradigm, and do not interfere with segment-forwarding if segments enter a more conventional networking environment (say, a gateway to the Internet) 1052 Cross Layer Versus Single Layer To allow the proposed solutions to be ubiquitous and exible enough to implement in a variety of situations, it is desirable to con ne them to a single layer in the protocol stack This would contribute to the ease of deployment and allow for a wider scope of application (that is, it would allow the technique to be combined with others) by isolating any changes to the particular layer involved The proposed solutions presented in Section 104 may thus be categorized as single or cross-layer.

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Note that cross-layer solutions also include proposals that require feedback from a nonadjacent layer, as, for instance, when the transport protocol obtains information from the link layer Furthermore, it should be emphasized that end-to-end approaches, in general, cannot be cross-layer since in order for changes to be end-to-end, they must be con ned at the transport layer An apparent exception toRelated: NET QR Code Generating Data, Generate Data Matrix NET , Create PDF417 NET.

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Complexity In comparison to contention aware list scheduling, the time complexity under the involvement contention model does not increase The additional scheduling of the edge on the processors increases the effort to implement the algorithm, but it does not modify its time complexity For example, the complexity of the second part of simple list scheduling (Algorithm 9) with start/ nish time minimization and the end technique is O (V + EO(routing))) (see Section 751) Also, the complexity does not increase for the insertion technique (Section 61), even though the individual scheduling of a node and an edge on a processor is more complex In the involvement contention model, there are more objects on the processors, namely, nodes and edges, which must be searched to nd an idle time interval On all processors there are at most O(V + E) nodes and edges; hence, the total complexity for the scheduling of the nodes increases from O(V2 ), under the contention model, to O(V(V + E)) The scheduling of the edges on the processors is O(E(V + E)), compared to O(PE) with the end technique, and on the links it remains O(PE2 O(routing)) Hence, the total complexity of the second part of simple list scheduling with start/ nish time minimization and the insertion technique is O(V2 + VE + PE2 O(routing)), that is, O(V2 + PE2 O(routing)), as under the contention model (Section 751) 842 Two-Phase Heuristics The generic form of a two-phase scheduling algorithm was already outlined in Algorithm 13 The rst phase establishes the processor allocation and the second phase constructs the actual schedule with a simple list scheduling heuristic, as described in Section 52 The next paragraphs discuss how such an algorithm is applied under the involvement contention model Phase 1 Processor Allocation The processor allocation can originate from any heuristic or can be extracted from a given schedule For example, a schedule produced under the classic or contention model might serve as the input (see also Section 52) Using the rst two steps of a clustering based heuristic, that is, the clustering itself and the cluster-to-processor mapping (Algorithm 14, Section 53), is very promising, because clustering tries to minimize communication costs, which is even more important under the involvement contention model The clustering itself can be performed under the classic or, as described in Section 753, under the contention model Even the involvement contention model can be used with a straightforward extension of the considerations made in Section 753 Genetic Algorithm In Sinnen [172] and Sinnen et al [180], a genetic algorithm, called GICS (genetic involvement contention scheduling), is proposed for the determination of the processor allocation The simple idea is that the genetic algorithm searches for an ef cient processor allocation, while the actual scheduling is performed with a list scheduling heuristic as discussed later for phase 2.

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