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java ocr library: optical-character-recognition · GitHub Topics · GitHub



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63 HETEROGENEOUS PROCESSORS Up to this point the target system of the scheduling problem always consisted of identical processors While this is in most cases an accurate modeling of the real parallel system, there are systems that consist of heterogeneous processors Take, for example, a cluster of PCs (Section 21) in which the processor differs from PC to PC In order to consider the diverse capabilities of the processors in such a system, the scheduling model must be adapted Heterogeneity of processors can mean two things: 1 All processors of the system have the same functional capability, but they perform the same task at different speeds 2 The processors have different functional capabilities; that is, certain tasks can only be performed by certain processors This section addresses processor heterogeneity of the rst type The second type of heterogeneity is encountered, for example, in embedded systems Real time scheduling for embedded systems (Liu [127]) deals with such heterogeneity The distinction between different services offered by the processors, however, introduces another dimension of conceptual complexity to the scheduling problem Compromises have to be made for the scheduling algorithms Introducing heterogeneity in terms of the rst type does not change anything fundamental in the scheduling model, as will be seen in the following Note that heterogeneity in terms of processing speed also includes processor extensions for certain application domains, such as SSE or AltiVec (Section 21) Using such an extension just means that a processor can perform certain tasks faster than



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There is a strong need therefore to monitor the value of scaling parameters over time to distinguish between these possibilities, and to test if constancy of scaling can be concluded or not. A basic approach is to split a data set into a number m of adjacent blocks, and to examine the corresponding logscale diagrams. If alignment is found ^ in each over roughly the same range of scales, then separate estimations a m of the scaling exponent could be performed for each block. A null hypothesis might be that the (unknown) values a m share a common value. The dif culty is how to combine these estimates in a well-de ned statistical test, given that the problematic statistical nature of scaling processes would in general imply strong correlations between the ^ a m . Because of the quasi-decorrelation in the wavelet plane, however, it can be ^ shown [77] that the a m can be treated as almost independent, and moreover that they are approximately normally distributed with known variances. The dif cult problem of the constancy of the scaling exponent can thereby be reduced to a simple





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Ci cells=frame for VC i, with the rest of the cells, if any, scheduled on a nonguaranteed basis Ci is based on (i) marginal distribution of #cells=frame, (ii) maximum acceptable probability of cell loss in a frame, and (iii) the equivalent bandwidth of all VCs in this jitter class The Ci are computed by the equivalentbandwidth unit described in Item 4 below 3 An Active Cell-Discard Unit If there are excess cells left over from a frame at the multiplexer after the corresponding frame time is over, it is likely that this is due to persistence in the arrival process as suggested by the solid lines in Fig 191 These cells are likely to cause increased delay for cells in successive frames.

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Since buffering does not reduce cell loss signi cantly for persistent traf c, we may elect to either toss them right away or mark them as low-priority cells and discard them on demand The active cell-discard unit reclaims (or marks as old) cells that do not get transmitted in their frame time It is activated at the end of each frame An important side effect of using the active cell-discard unit is that it simpli es computation of equivalent bandwidth for correlated traf c (especially for heterogeneous cell-loss bounds), while achieving high utilization through statistical multiplexing 4 Equivalent Bandwidth Computations Algorithms for computing upper bounds on equivalent bandwidths are developed They address heterogeneous cellloss probabilities and heterogeneous jitter classes The computation decomposes traf c by their jitter requirements All connections requiring a given delay-jitter are grouped into a class For each jitter class, let Ek k 0; 1; 2; .

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esseract is an open source framework written in C++ which allows us to work with ... To work with this lesson, it is important to install Tesseract OCR Engine on ...












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