<p>Business and organizations use computer network in a greater extension than ever before, especially for business-critical use. That increase the demand of security for all systems, both against internal and external threats. The demand on the authentication method used today increases. Today they normally uses password or some kind of smart card. </p><p>I will performa literature study that will investigate the possibility to increase the security in authentication of users without the use of extra hardware. The method uses a server that stores all cryptographic keys for the user centrally to achieve stronger security. This report is based on a previous report which tested to implement this solution, in this report I will question the security of this system. I will then give an architecture proposal where this method is used to authenticate and allow cryptographic recourses for the user. </p><p>The conclusions you can get from this report is that the possibilities with comparable ease increase the security without investing in new hardware. But the solution will not be comparable by a ``smart card solution''in security levels. That means that the method described in this thesis is suitable for organizations that either do not need that strong security as smart card give or want a good solution without being forced to use some external hardware.</p>

<p>The purpose of this thesis is to develop software to stream input and output audio from a large number of computers in a network to one specific computer in the same network. This computer will save the audio to disk. The audio that is to be saved will consist mostly of spoken communication. The saved audio is to be used in a framework for modeling and visualization.</p><p>There are three major problems involved in designing a software to fill this purpose: recording both input and output audio at the same time, efficiently receiving multiple audio-streams at once and designing an interface where finding and organizing the computers to record audio from is easy.</p><p>The software developed to solve these problems consists of two parts; a server and a client. The server captures the input (microphone) and output (speaker) audio from a computer. To capture the output and input audio simultaneously an external application named Virtual Audio Cable (VAC) is used. The client connects to multiple servers and receives the captured audio. Each one of the client’s server-connections is handled by its own thread. To make it easy to find available servers an Automatic Server Discovery System has been developed. To simplify the organization of the servers they are displayed in a tree-view specifically designed for this purpose.</p>

<p>Denna rapport handlar om framtagandet av en webbaserad rapporteringsplattform för Sandvik IT. Uppsatsen bryter ner och illustrerar de delar i processen som krävs för konverteringen från en dokumentbaserad till en webbaserad rapporteringsmetod genom att utgå från Sandvik IT’s rapporteringsscenario. Den dokumentbaserade rapporteringsmetoden utgörs av Excel och den webbaserade av Reporting Services. Många implementeringstekniska delar som kan vara av intresse för utvecklare tas upp. Uppsatsen täcker in kostnadsfrågor för hela livcykeln av webbplattformen och en jämförelse görs av de båda rapporteringsscenariorna En stor tyngd läggs även på att visa de problem som kan uppstå på vägen från rapporteringsscenariot med Excel till Reporting Services. Metoden för arbetet är platsundersökning, litteraturstudie samt en systemutvecklingsmetod som kallas för Agile. I slutet av uppsatsen finns det bilagor som visar hur de slutgiltiga rapporterna kan se ut.</p>

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台灣伺服器代工產業位居全球第一的地位，長久以來都以服務歐美大廠的硬體品牌商為使命，已經身處在成熟期的產業發展階段。由於主機板規格日益標準化，加上目前台灣前五大ODM/OEM業者全部都主攻於代工製造中低階的x86架構伺服器，所以造成此市場區隔競爭激烈，毛利率逐年下降。 近年來「雲端運算」與「虛擬化技術」興起，替整個產業帶來破壞式創新的商機，不僅出現新的使用者族群（雲端資料中心）、產生較低階規格產品（雲端伺服器）的開發需求，不高度強調品牌忠誠度的雲端資料中心也讓整個產業的進入障礙得以降低。於是台灣伺服器代工產業價值鏈開始面臨破壞與重組。台灣伺服器代工業者與硬體品牌大廠、雲端資料中心業者或大型網路平台業者，以及其它中小型資料中心業者之間多重的動態競爭、合作或互補關係，來歸納出伺服器製造產業鏈逐漸形成的新網絡架構、代工廠商選擇轉型的策略意涵，並實際提出給伺服器代工業者的具體建議。 / Taiwan server OEM/ODM industry, in maturity stage of industry life cycle, has taken orders from European and American hardware brands for a long time and been ranked number one in the global market. Because the motherboard specifications are standardized increasingly and the top five ODM/OEM manufacturers all focus on the same mid to low-end x86-based servers, this market segment has faced fierce competition and low profit margin year by year. In recent years, cloud computing and virtualization technology bring destructive innovation and new business opportunities to the entire server OEM/ODM industry. This development not only created a new group of users (Cloud Data Center) and a new demand of lower-order need products (Cloud Server), but also reduced the entry barrier of unknown brands. As a result, Taiwan server OEM/ODM industry faced destruction and reconstruction of its value chain. By describing the mutual relationship between Taiwan server OEM/ODM vendors, i.e., European and American hardware brands, giant cloud data centers, and small to mid-sized cloud data centers, the research summarizes a new network architecture of the entire server industry. This research also provides strategic suggestions to potential owned-brand companies. At the end, the research proposed several specific recommendations to the Taiwan server OEM/ODM vendors.

På ett företag eller universitet finns det oftast regler/policys som förklarar hur manfår använda deras nätverk. Om någon bryter mot reglerna vill man kunna identifierapersonen. Denna rapport inriktar sig på att identifiera en användare i ett nätverk. För att kunna identifiera en användare behöver man uppnå spårbarhet. En jämförelsemellan två teknologier (IPsec och dot1x) utfördes, två testmiljöer för detta sattes uppen för vardera teknologi. PfSense (routern) ansluter användarna från det internanätverket till det externa. I routern kan man sedan med hjälp av Packet Capture sevad användaren gör på nätverket. Ett PING används för att illustrera att något görsmot servern, det skulle lika gärna kunna vara en attack som utförts. Illustreringenvisar då att man kan spåra om något utförts som strider mot företagets/universitetetsregler. Resultaten delades upp i två delar, en för dot1x och en för IPsec. Flera scenariongjordes, där användaren har gjort något, exempelvis skickat ett PING till servern.Data utifrån detta samlades in för att se om man kunde identifiera vilken användaresom skickade ett PING till servern. Efter att flera scenarion hade utförts visaderesultatet att spårbarhet gick att uppnå med båda teknologierna.

Due to the imperative need to reduce the management costs, operators multiplex several concurrent applications in large datacenters. However, uncontrolled resource sharing between co-hosted applications often results in performance degradation problems, thus creating violations of service level agreements (SLAs) for service providers. Therefore, in order to meet per-application SLAs, per-application performance modeling for dynamic resource allocation in shared resource environments has recently become promising. We introduce Chorus, an interactive performance modeling framework for building application performance models incrementally and on the fly. It can be used to support complex, multi-tier resource allocation, and/or what-if performance inquiry in modern datacenters, such as Clouds. Chorus consists of (i) a declarative high-level language for providing semantic model guidelines, such as model templates, model functions, or sampling guidelines, from a sysadmin or a performance analyst, as model approximations to be learned or refined experimentally, (ii) a runtime engine for iteratively collecting experimental performance samples, validating and refining performance models. Chorus efficiently builds accurate models online, reuses and adjusts archival models over time, and combines them into an ensemble of models. We perform an experimental evaluation on a multi-tier server platform, using several industry- standard benchmarks. Our results show that Chorus is a flexible modeling framework and knowledge base for validating, extending and reusing existing models while adapting to new situations.

The growth of wireless telecommunications has stipulated the interest for anywhere-anytime computing. The synergy between networking and mobility will engender new collaborative applications with mobile devices on heterogeneous platforms. One such middleware is “SYSTEM ON MOBILE DEVICES”, SYD developed by the Yamacraw Embedded Systems research team. This type of middleware is an opening step towards Peer-to-Peer mobile networks. This project envisioned collaborative applications among mobile devices and PDAs were used as servers. This thesis studies various existing architectures in mobile computing and their scalability issues. We also proposed new scalable flexible thick client proxy system FTCPS, an architecture suitable for mobile Peer-to-Peer networks. Our empirical study showed that FTCPS has low response time compared to other architectures.

Due to the imperative need to reduce the management costs, operators multiplex several concurrent applications in large datacenters. However, uncontrolled resource sharing between co-hosted applications often results in performance degradation problems, thus creating violations of service level agreements (SLAs) for service providers. Therefore, in order to meet per-application SLAs, per-application performance modeling for dynamic resource allocation in shared resource environments has recently become promising. We introduce Chorus, an interactive performance modeling framework for building application performance models incrementally and on the fly. It can be used to support complex, multi-tier resource allocation, and/or what-if performance inquiry in modern datacenters, such as Clouds. Chorus consists of (i) a declarative high-level language for providing semantic model guidelines, such as model templates, model functions, or sampling guidelines, from a sysadmin or a performance analyst, as model approximations to be learned or refined experimentally, (ii) a runtime engine for iteratively collecting experimental performance samples, validating and refining performance models. Chorus efficiently builds accurate models online, reuses and adjusts archival models over time, and combines them into an ensemble of models. We perform an experimental evaluation on a multi-tier server platform, using several industry- standard benchmarks. Our results show that Chorus is a flexible modeling framework and knowledge base for validating, extending and reusing existing models while adapting to new situations.