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535 Other Algorithms As mentioned at the beginning of this clustering section, virtually any scheduling algorithm that is uitable for an unlimited number of processors can be employed for the rst phase of the three-step clustering based scheduling Algorithm 14 For example, Hanen and Munier [86] proposed an integer linear program (ILP) formulation of scheduling a task graph on an unlimited number of processors For coarse grained task graphs, that is, g(G) 1, their relaxed ILP heuristic produces clusterings with a length that is within a factor of 4 of the optimal solution, sl(C) 3 4 3 sl(Copt ) Apart from the above mentioned MCP algorithm, Wu and Gajski [207] proposed another algorithm called MD (mobility directed), which is a list scheduling algorithm for an unlimited number of processors with dynamic node priorities, using a node insertion technique (Section 61) A clustering algorithm for heterogeneous processors was proposed by Cirou and Jeannot [36], using the concept of node triplets In a survey paper, Kwok and Ahmad [113] go as far as to classify scheduling algorithms that are designed for an unlimited number of processors into one class Grain Packing Another problem related to task graphs, the so-called grain packing problem (El-Rewini et al [65]), is essentially the same as the clustering problem Grain packing addresses the problem of how to partition a program into subtasks (grains) in order to obtain the shortest possible execution time Generally, this is the subtask decomposition step of parallel programming (Section 24) However, when subtasks are grouped together (ie, packed), grain packing rather relates, like clustering, to orchestration (Culler and Singh [48]) or agglomeration (Foster [69]) as described in Section 23 Given a task graph, grain packing algorithms determine how to group the nodes together into larger nodes so that the program can run in minimum time Well, that is exactly what clustering algorithms are about Some algorithms that were proposed for the grain packing problem are in fact scheduling algorithms, for example, the ISH (insertion scheduling heuristic) and the DSH (duplication scheduling heuristic) by Kruatrachue and Lewis [105, 106] A noteworthy approach in this context is a grain packing algorithm proposed by McCreary and Gill [135] Nodes are grouped into so-called clans, done by a graph partitioning algorithm (ie, a pure graph theoretic approach) As a consequence, there is no implicit schedule associated with the resulting node packing Hence, this is a grain packing algorithm, which is indeed different from clustering In effect, the algorithm changes the granularity of the task graph before it is scheduled Clustering with Node Duplication One of the objectives of clustering algorithms is the reduction of communication costs Another scheduling technique, whose.

How to Sign Java Code. Code 39 Generation In Visual C# . Draw GS1 - 12 In VS .NET Using Barcode maker for ASP . There are several things to know as you sign up for a certificate: 1. You do not want a Class 1 certificate as it cannot be used to sign objects. 2. Use Netscape Communicator (4.x), even though you are allowed to request and download a certificate using Netscape Navigator 3.x, because the support for certificates in 3.x is not as good as it is in later browsers. For example, object signing tools may not be able to locate your certificate inside Netscape 3.x. Also, you may not be able to export your certificate, which is useful if you want to sign code from a machine other than the one from which you originally downloaded the certificate. 3. Use the same browser on the same computer both to request and to retrieve the certificate. If the browser is set up with multiple user profiles, make sure you use the same user profile as well; otherwise, you will likely be unable to retrieve your certificate. 4. Finally, note that many versions of Netscape Communicator will be unable to verify your certificate (assuming you got a VeriSign certificate). Unfortunately, information concerning this problem seems to have disappeared from the Netscape Web site.Related: .NET Intelligent Mail Generation

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will understand the capabilities needed to support their development Borland also has some interactive training CDs that can help you learn JBuilder quickly These training tools are likely to be quite costeffective at getting new programmers up to speed A feature list is only the first step in evaluating how good a program really is Reading reviews and what other users have to say about a product is another important step, and JBuilder really stands out here And finally, the only real way to know if a software tools is right for you is to use it and evaluate it The very best programs have all the features you need, yet are also easy to learn and to use JBuilder seems to meet this last test better than some of the other IDEs such as Forte While JBuilder is very good, it has some faults Programmers used to all the editing features of Emacs, vi, or even VIDE might be disappointed in JBuilder's editor Setting up projects has a few quirks in how directories are set up and used, but that is just matter of learning the tool's conventions And JBuilder suffers the same problem as many Java-base applications - it is slow to load, and sometimes a bit slow in its response This is especially noticeable on slower machines There is another issue to be aware of when using JBuilder, or any of the other Java IDE), and that is the automatic application generation tools These tools let you build simple GUI applications rather easily, but you build them the way that the tools have decided or example, when you use the JBuilder application wizard to build an application from scratch, it starts by creating the top level class that extends JFrame While this is a standard way of building Java applications, it is not necessarily what you want to do Be sure you use the tool to build the programs you want using good object-oriented design, and don't get trapped into using a design structure provided by the IDE by.

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This chapter describes two statistical anomaly detection techniques for cyber attack detection: the EWMA (Exponentially Weighted Moving Average) control chart which is a univariate Statistical Process Control (SPC) technique, and the Chi-Square Distance Monitoring method (CSDM) which is a multivariate SPC technique Many SPC techniques [1 2] have traditionally been developed and applied to monitor the quality of manufacturing processes SPC techniques rst build the statistical model of the process data obtained from an in-control process to contain only random variations of the process data SPC considers the process out of control with an assignable cause other than random causes of data variations if the process data shows a statistically signi cant deviation from the statistical in-control data model Consider that a computer and network system is in control if there are only normal use activities, but is out-of-control if there are also attack activities This makes the anomaly detection methodology for cyber attack detection similar to SPC techniques [3] in rst building the norm or in-control pro le of the process data and then using the norm pro le to detect a large deviation as anomaly or out-ofcontrol caused by an attack This chapter presents the application of a nivariate SPC technique, the EWMA control chart, and a multivariate SPC technique, CSDM, to cyber attack detection. Code Encoder In .NET Using Barcode printer for .Related: 

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