There is an ongoing information war raging in the software world. Despite free software developers’ best efforts, new proprietary software continues to proliferate. Improved techniques must be developed to reverse engineer efficiently closed data formats so that free, interoperable solutions can be deployed under Linux.

Software reverse engineering occurs on various levels. It may be necessary to study a piece of poorly written, poorly commented code developed in a high-level language such as C++ and understand what the original program was supposed to accomplish. It may also be necessary to disassemble a program that has been compiled into machine language and express it as a higher-level language. In doing this, the underlying algorithms can eventually be expressed as higher-level concepts in a human language. After obtaining an algorithmic description via reverse engineering, the algorithm can be reimplemented for any language on any computing platform.
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Current search engines such as Google and Yahoo! are prevalent for searching the Web. Search in dynamic pages, however, is either inexistent or far from perfect. AJAX and Rich Internet Application are such applications. They are increasingly frequent on the Web (in YouTube, Amazon, GMail, Yahoo!Mail) or mobile devices and are offering a high degree of interactivity to the user, by seamlessly loading content from the server without the need to refresh the page. Current search engines cannot correctly index AJAX applications. This produces false positives and false negatives, because search engines do not understand the application logic that loads content dynamically. Crawling an AJAX application is a difficult problem. Since the user invokes events on the page, crawling must identify the different application states generated by the client-side logic.
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This paper describes the work of the JISC-funded PoWR (Preservation Of Web Resources) project which is developing a handbook on best practices and advice aimed at UK higher and further educational institutions for the preservation of Web sites and Web resources. The paper summarises the challenges institutions face in preserving Web resources, describes the workshops organized by the project in order to identify the challenges and identify appropriate best practices, and outlines areas in which further work is required.
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Last month I was fortunate enough to be invited to a private roundtable of operator executives and entrepreneurs asked to share their ideas and opinions on the opportunities and challenges facing the mobile data industry. Now it’s a very rare day when these two constituencies can agree on anything, so imagine my surprise when both camps reached a consensus on the positive impacts that Web 2.0 services will have on non-voice revenues.
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In both e-business and e-science, we often need to integrate services across distributed, heterogeneous, dynamic “virtual organizations” formed from the disparate resources within a single enterprise and/or from external resource sharing and service provider relationships. This integration can be technically challenging because of the need to achieve various qualities of service when running on top of different native platforms. We present an Open Grid Services Architecture that addresses these challenges.
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We 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.
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Table 1: VoIP Protocol stack and comparison with the OSI model ……
VoIP technologies (based around the H.323 protocol) are being used in advanced
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