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A Project-Based Approach to Programming Language EvaluationAnswers to Which programming language is the best?" can ignite fierce arguments among zealots who see no reason for any language other than the one they use. Fortunately, most programmers do not hold such extreme opinions, and often would like to see a rational evaluation of different languages from which they can draw their own opinions. Many researchers have proposed methods for comparing and evaluating languages 2, 9, 10], but they tend to focus more on the languages than on the needs of language users. Although languages are intrinsically worthy of study, their real purpose is as tools in problem solving.
Users do need to know the strengths and deficiencies inherent in a language, and how well a language applies to an application domain. But, even within an application domain, requirements for two distinct projects may vary widely. One product may have to be highly reliable and portable, while another may have to be extremely efficient. Thus, knowing how well a language supports an application domain may not su ce we also need to know how well a language supports the needs of particular projects within a domain. We need to be able to evaluate languages for their applicability to a specific project. This paper proposes a language evaluation method with just that focus.
In the following sections, we review major categories of programming language evaluation criteria, and propose an evaluation scheme that could help software developers determine the best language for their particular task. Finally, we reflect on the significance ofWindows Vista Deployment Step by Step GuideThis document provides instructions for implementing a basic image-based deployment of Microsoft® Windows Vista™ operating system. We recommend that you first use the steps provided in this guide in a test lab environment as a means to become familiar with new and updated deployment features and technologies available in Windows Vista. Step-by-step guides are not necessarily meant to be used to deploy Windows Vista operating system features without accompanying documentation (as listed in the Additional Resources section) and should be used with discretion as stand-alone documents. Windows Vista Deployment Overview
This document is designed for IT professionals and deployment specialists who are responsible for deploying Windows® operating systems in an organization. Deployment scenario You will use the steps in this scenario and the procedures in the examples to implement a basic image-based deployment of Windows Vista on hardware without an operating system installed. For more information about the tools and technologies referenced in this section, see Tools and Technologies [http://technet2.microsoft.com WindowsVista/en/library/88f80cb7-d44f-47f7-a10de23dd53bc3fa1033.mspx#BKMK_TOOLS] later in this document. The process for the deployment scenario includes: • • • • Building a lab environment. Creating an answer file by using Windows System Image Manager (Windows SIM). Building a master installation by using the product DVD and your answer file. Creating an image of the master installation by using the Windows Preinstallation Environment (Windows PE) and ImageX technologies. Deploying the image from a network share onto a destination computer using Windows PE and ImageX technologies. At the end of this example, you should have aPerformance Modeling for Dynamic Algorithm SelectionAdaptive algorithms are an important technique to achieve portable high performance. They choose among solution methods and optimizations according to expected performance on a particular machine. Grid environments make the adaptation problem harder, because the optimal decision may change across runs and even during runtime. Therefore, the performance model used by an adaptive algorithm must be able to change decisions without high overhead. In this paper, we present work that is modifying previous research into rapid performance modeling to support adaptive grid applications through sampling and high granularity modeling. We also outline preliminary results that show the ability to predict differences in performance among algorithms in the same program.
Grid environments [1] present novel performance challenges, adding variability to many characteristics of high performance code. Heterogeneous platforms and varying network performance mean that the best algorithm for an application may change between runs of an application, and even during execution.
Adaptive algorithms, developed to support portable performance in libraries, present an excellent opportunity to deal with these challenges by switching algorithms based on runtime information. To choose the optimal algorithm, a performance prediction must be made based on this information and the performance characteristics of the candidate algorithms. Because it is important to keep the combined overhead of measurement, modeling, prediction, and adaptation low, current time-consuming modeling techniques are not suitable for grid environments. We propose using a combination of ongoing research into rapid performance modeling and new development of a general adaptive algorithm framework to support exploration of portable performance onSorin's Network AnimatorThe SNMP protocol was introduced in 1988. Overtime security had been added (1991-1992). Also several version improved versions have been published (SNMPv2[1] and SNMPv3[4]) The goal is to allow automation of network management by establishing a standard protocol supported by all network devices for configuration and monitoring.
Using SNMP enabled devices network administrators can automate the tedious and error prone task of changing the configuration of the network by using an administration interface which in turn will automatically re-configure each device on the network using SNMP. By having a unified protocol a single administration application can manage an entire network of heterogeneous devices.
Another use of SNMP is to monitor the state of the network. The protocol defines a special message called a trap that triggers an agent governing a device to send an event stream back to the administrator. Management applications can periodically pool the devices to obtain an up-to-date overview over the network.
There are project existing [2] that facilitate the conversion of SNMP traces into formats that can be easily displayed. However, the user interface of the tools is either incomplete or not very well suited for the task at hand. The python converter presented converts SNMP and flow traces into a network animator file that can be viewed using the network animator(NAM). While the basic task of seeing the interaction dynamics is accomplished NAM does a very pour job at graph layout. Conversely the analyser based on JUNG does a very good job for the layout, but it doesThe Anatomy of a Large-Scale Hypertextual Web Search Engine PDFWe present Google, a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext. Google is designed to crawl and index the Web efficiently and produce much more satisfying search results than existing systems. The prototype with a full text and hyperlink database of at least 24 million pages is available at http://google.stanford.edu/ To engineer a search engine is a challenging task. Search engines index tens to hundreds of millions of web pages involving a comparable number of distinct terms. They answer tens of millions of queries every day. Despite the importance of large-scale search engines on the web, very little academic research has been done on them. Furthermore, due to rapid advance in technology and web proliferation, creating a web search engine today is very different from three years ago.
This paper provides an in-depth description of our large-scale web search engine — the first such detailed public description we know of to date. Apart from the problems of scaling traditional search techniques to data of this magnitude, there are new technical challenges involved with using the additional information present in hypertext to produ e better search results. This paper addresses this question of how to build a practical large-scale system which can exploit the additional information present in hypertext. Also we look at the problem of how to effectively deal with uncontrolled hypertext collections where anyone can publish anything they want.
Download The Anatomy of a Large-Scale Hypertextual Web Search Engine PDFFeed Injection in Web 2.0One new feature of "Web 2.0", the movement to build a more responsive Web, is the utilization of XML content feeds which use the RSS and Atom standards. These feeds allow both users and Web sites to obtain content headlines and body text without needing to visit the site in question, basically providing users with a summary of that sites content. Unfortunately, many of the applications that receive this data do not consider the security implications of using content from third parties and unknowingly make themselves and their attached systems susceptible to various forms of attack.
This white paper discusses various forms of attacks based on Web feeds that follow the RSS, Atom and XML standards. This paper does not extensively cover each XML element and its usage within Web-based feeds, nor does it address other vulnerability scenarios such as buffer overflows and other XML- specific risks. The goal of this paper is to outline the risks of lesser-known threats which are currently emerging on the Web utilizing Cross-Site Scripting
Web Feeds as Attack Vectors
Browsers, local readers, Web sites and online portals such as Bloglines all subscribe to feeds. These applications automatically fetch new content at intervals defined either on the receiving client or by the feed itself. Once a user is subscribed, they are alerted to new entries where they can read the story title and usually a brief description of the story body. The RSS Specification states that story bodies (the tag) allow HTML entities in order to allowSketchUp Wavefront OBJ Exporter – Version 4.0.4The SketchUp OBJ exporter extends the export capability of SketchUp by providing an additional export type in the File > Export > 3d Model dialog. OBJ is a legacy ASCII format developed by Wavefront/Alias Software.
II. What’s New?
• Support for positioned textures. The positioning of textures is now preserved upon export.
• Support for transparent materials. The transparency of materials is now exported to the OBJ file.
• Support for double-sided faces. A new option, "Export faces double-sided", has been added to the UI. This option, which allows the export of a back-side material, exports an additional face with flipped normals and reversed vertices.
• Support for object hierarchy. The OBJ output now supports a flat set membership hierarchy, meaning that the format understands which objects belong to any set. It is important to note that it does not support a tree hierarchy meaning it doesn't know if one particular set is actually a component part of another set. This limitation is a limitation of the OBJ format itself.
• Support for raster image objects. Raster images are now exported.
• Support for object visibility. Only visible objects are output to the OBJ file.
• Exported material names are now based on the name of the material in SketchUp vs. being based on the name of the underlying texture file.
• A version number has been added to the OBJ Options dialog so that you can verify you are on the latest release.
• In addition to the above, many bug fixes have been made.
Download pdf SketchUp Wavefront OBJMundu IM Palm OS Version User GuideSo you have got yourself a Palm OS device and whats more, you got it to connect to the Internet! Now, you just want to get started with Instant Messaging from your device. Mundu IM is perfect for you and you have come to the right place to get started with it. Thanks first of all for choosing Mundu IM. Make sure you have the following with you before we start: - A PDA which runs Palm OS. - An active Internet connection on your phone (EDGE, GPRS or WiFi). - Atleast one of the following Instant Messaging accounts: MSN, AIM, ICQ, Yahoo, Jabber or Gtalk.
Thats it! Now we get on to the good stuff. This is by far the easiest way to install Mundu IM on your device - Use the web browser on your Palm OS device to navigate to http://messenger.mundu.com/download/ and download the Mundu IM installer on to your device. - Download the Mundu IM prc file on your Palm device. - Navigate to the location where you have copied the prc file and double-click to open it. A confirmation prompt appears. - Accept the installation prompt. Mundu IM will be installed automatically on the device. And we’re done with the installation. Are we sure?! Of course we are! We did say it was a jump start. We recommend you soft-reset your Palm OS device after installation of Mundu IM.
Download Mundu IM Palm OS Version User GuideFighting Virus and Hack Attacks with a Network Analyzer PDF ArticleThis article shows how a network analyzer, historically used for network troubleshooting, can also be used to defend against the security threats. Certain features of a network analyzer can be set to monitor for virus and attack signatures and offer quick ways of isolating infected systems. For those organizations that are looking to invest in a network analyzer there are certain key features that should be considered. Introduction Chances are, your IT toolbox already contains a network analyzer. Historically, a network (or protocol) analyzer has been a great tool for troubleshooting network problems and monitoring for excessive bandwidth usage.
But did you know a network analyzer can also fight virus and hack attacks? Along with keeping track of network devices and uptime, a network analyzer can also locate network security breaches and help identify and isolate virus-infected systems. It’s very easy to use your current analyzer to enhance your network security. But which analyzer features are essential for this task? The purpose of this article is to explain how an analyzer can augment firewalls and other perimeter defenses. How Network Analyzers Work A network analyzer shows you what is happening on your network by decoding the different protocols that devices on the network use to communicate, and presenting the results in human...
Download Fighting Virus and Hack Attacks with a Network Analyzer PDF ArticleStd 1560 Cov&front BKLubricant Service Designations for. Automotive Manual Transmissions,. Manual Transaxles, and Axles. Manufacturing, Distribution and Marketing Department
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