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length is 3k (Figure 52(c)) For any C a k with k > 1, k > C can be chosen so that sl(S) = 3k > 3C = C sl(Sopt ) In particular, list scheduling with start time minimization does not even guarantee a schedule length shorter than the sequential time of a task graph Still, numerous experiments have demonstrated that list scheduling produces good schedules for task graphs with low to medium communication (eg, Khan et al [103], Kwok and Ahmad [111], Sinnen and Sousa [177]) 512 With Dynamic Priorities The simple list scheduling outlined in Algorithm 9 establishes the schedule order of the nodes before the actual scheduling process During the node scheduling in the second part, this order remains unaltered, so the node priorities are static To achieve better schedules, it might be bene cial to consider the state of the partial schedule in the schedule order of the nodes Changing the order of the nodes is equivalent to changing their priorities, hence the node priorities are dynamic It remains that the node order must be compatible with the precedence constraints of the task graph, which is obeyed if only free nodes are scheduled A list scheduling algorithm for dynamic node priorities is given in Algorithm 11 Algorithm 11 List Scheduling Dynamic Priorities (G = (V, E, w, c), P) 1: Put source nodes {ni V : pred(ni ) = } into set S 2: while S = do S only contains free nodes 3: Calculate priorities for nodes ni S 4: Choose a node n from S; S S n 5: Choose a processor P for n 6: Schedule n on P 7: S S {ni succ(n) : pred(ni ) Scur } 8: end while Instead of iterating over the node list, Algorithm 11 calculates in each step the priority of all free nodes and only then selects a node and a processor for scheduling After the scheduling of node n, the set S of free nodes is updated with the nodes that became free by the scheduling of n (line 7) Obviously, this approach has higher complexity in general than the simple list scheduling presented in Algorithm 9, because the priority of every node is determined several times Algorithm 11 is a generalization of the simple list scheduling, which becomes apparent by considering line 3 If this line is moved to the beginning of the algorithm and the riorities are calculated for all nodes, not only for the free nodes, the simple list scheduling is obtained This becomes even more distinct in Section 513, where the construction of node lists is explained Choosing Node Processor Pair Some algorithms dynamically compute the priorities of the free nodes by evaluating the start time (see Eq (51)) for every free.

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Two ways of affecting disjoint multipath routing (MPR) include (i) Disjoint (or split) MPR (D-MPR) with selective forwarding (SF) in which case each packet is sent along different disjoint routes and the decision of path selection is made by the source on packet-by-packet basis and (ii) D-MPR with packet replication (PR) (or limited ooding) where multiple copies of a data packet are transmitted simultaneously along multiple disjoint routes from a source to a estination. A meshed multipath is set up in three steps: (i) acquiring neighborhood information, (ii) route discovery, and (iii) route reply as described below. r Acquiring Neighborhood Information: Each active node broadcasts its ID, residual battery power, and location information to local neighbors. For each active neighbor i, a node maintains the following information in its database: IDi , locationi , residual poweri . Since the sensor nodes are considered stationary, period update on neighborhood status is not needed unless the node is. Print QR-Code In C#.NET Using Barcode generation for . Draw QR Code 2d Barcode In VS .NET Using .Related: Print Codabar VB.NET , Create UPC-A Word , EAN-8 Generation .NET

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Algorithm 12 Create Node List 1 Assign a priority to each n V 2: Put source nodes n V : pred(n) = into priority queue Q 3: while Q = do Q only contains free nodes 4: Let n be the node of Q with highest priority; remove n from Q 5: Append n to list L 6: Put {ni succ(n) : pred(ni ) L} into Q 7: end while which costs O(log V) and the determination of the free nodes amortizes to O(E) Removing the node with the highest priority from the heap is O(1) An example for a metric that is not compatible with the precedence order is tl + bl a metric that gives preference to the nodes of the critical path Table 51 displays several node orders of the sample task graph obtained with node level based priority metrics The values of the node levels are given in Table 41 As analyzed in Section 44, calculating these levels has a complexity of O(V + E) For all these metrics the rst part of the simple list scheduling is thus O(V log V + E) (calculating levels: O(V + E) + sorting: O(V log V) or O(V log V + E)) Already the few examples in Table 51 illustrate the large variety of possible node orders In experiments, the relevance of the node order for the schedule length was demonstrated (eg, Adam et al [2], Sinnen and Sousa [177]) Unfortunately, most comparisons of scheduling algorithms (eg, Ahmad et al [6], Gerasoulis and Yang [76], Khan et al [103], Kwok and Ahmad [111], McCreary et al [136]) analyze entire algorithms: that is, the algorithms differ not only in one but many aspects This generally impedes one from drawing conclusions on discrete aspects of the algorithms (eg, on the node order) Still, most algorithms apply orders based on node levels and the bottom level order exhibits good average performance (eg, Adam et al [2], Sinnen and Sousa [177]) Breaking Ties Table 51 also shows examples where the node order is not fully de ned, indicated in the table by parentheses around the respective nodes Incidentally,.

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(ie di erent selection methods, eg negative or clonal selection) The proposed multi-layered AIS consists of the following layers: the free-antibody layer (F), B-Cell layer (B) and the memory layer (M) The set of training patterns, DT , is seen as antigen Each layer has an a nity threshold (aF , aB , aM ), and a death threshold ( F , B , M ) The death threshold is measured against the length of time since a cell was last stimulated within a speci c layer If the death threshold does not exceed this calculated length of time, the cell dies and is removed from the population in the speci c layer The a nity threshold (aF , aB , aM ) determines whether an antigen binds to an entity within a speci c layer The a nity, fa , between an antigen pattern and an entity in a layer is measured using Euclidean distance Algorithm 194 summarizes the multi-layered AIS The di erent parts of the algorithm are discussed ext An antigen, zp , rst enters the free-antibody layer, F In the free-antibody layer, the antigen pattern is then presented to nf free-antibodies The number of free-antibody bindings is stored in the variable nb The antigen, zp , then enters the B-Cell layer, B, and is randomly presented to the B-Cells in this layer until it binds to one of the B Cells After binding, the stimulated B-Cell, uk , produces a clone, uk , if the stimulation level exceeds a predetermined stimulation threshold, B The stimulation level is based on the number of free-antibody bindings, nb , as calculated in the free-antibody layer The clone is then mutated as uk and added to the B-Cell layer The stimulated BCell, uk , produces free antibodies that are mutated versions of the original B-Cell The number of free antibodies produced by a B-Cell is de ned in [468] as follows: fF (zp , uk ) = (amax fa (zp , uk )) (192).

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(i) Long-Term Debt Debentures and notes are the most common form of long-term debt; however, institutions also use long-term mortgages, obligations, commitments under capital leases, and mandatorily redeemable preferred stock to provide long-term funding Funds are also borrowed through Eurodollar certi cates, CMOs, and REMICs; mortgage-backed bond (MBBs), mortgagerevenue bonds, and FHLB advances The terms of long-term debt vary; they may be secured or unsecured, and they may be convertible (ii) Short-Term Debt Repurchase agreements and federal funds purchased are the most common form of the short-term debt described earlier Commercial paper is another common source of shortterm unding Commercial paper is an unsecured short-term promissory note typically issued by bank or savings institution holding companies MBBs are any borrowings (other than those from an FHLB) collateralized in whole or in part by one or more real estate loans Member institutions may borrow from their regional Federal Reserve Bank in the form of discounts and advances, which are primarily used to cover shortages in the required reserve account and also in times of liquidity problems. Draw Denso QR Bar Code In VB.NET Using Barcode encoder for .Related: Create UPC-A VB.NET , VB.NET Intelligent Mail Generating , Java UPC-E Generation

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