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1	Aktivní IP geolokace pro verifikaci pozic stanic v Internetu / Active IP Geolocation for Verification Host Position in Internet Balej, Jiří January 2017 (has links) Dissertation thesis deals with methods for finding the location of the device in the Internet, based on knowledge of the IP address. The process is called IP geolocation and is currently solved by geolocation databases or by measurement of network properties to the IP address. The disadvantage of nowadays geolocation databases is an incorrect information about some locations, because they can be in large distance from correct position. The aim of the thesis is to develop a method for verification of a position from geolocation database using delay measurement. Because of it, there is a detail analysis of influence of partial delays on the distance estimation accuracy, calculated using measured delay between the landmark and the target IP address. For the same reason, long-term delay measurement was performed, where the IP geolocation accuracy was compared using calibration data from previous measurements. On this background, Cable Length Based Geolocalisation (CLBG) method is proposed. Principle of this method is built on the properties of partial delays, which depend on the length of transport media. Firstly, the method measures round trip time (rtt), which is subsequently lowered by intermediate devices and end stations delay. The geographical distance is estimated using signal speed in the transport media. Further, the winding media parameter is established, which is used to determine a constraint around the landmark. The intersection of all constraints defines the area, where the target IP is. The IP geolocation using CLBG gives better results than simpler methods (ShortestPing, GeoPing and SOI), in comparison with more advanced methods (CBG and Octant) the accuracy is similar. The disadvantage of the CLBG method is the size of region, where the target lies, but this is due to its purpose. The position found in geolocation database can be checked by evaluation if it lies in the region.
2	Performance Evaluation of Kotlin and Java on Android Runtime / Prestandautvärdering av Kotlin och Java för Android Runtime Schwermer, Patrik January 2018 (has links) This study evaluates the performance of Kotlin and Java on Android Runtime using four benchmarks from the Computer Language Benchmarks Game suite, for which a total of 12 benchmark implementations are studied. The metrics used to evaluate the performance includes runtime, memory consumption, garbage collection, boxing of primitives as well as bytecode n-grams. To benchmark the languages, a benchmark application has been developed intended to run on an Android phone. The results indicate that Kotlin is slower than Java for all studied benchmarks by a varying factor. Furthermore, the use of idiomatic Kotlin features and constructs results in additional heap pressure and the need of boxed primitives. Other interesting results indicate the existence of an underlying garbage collection overhead when reclaiming Kotlin objects compared to Java. Furthermore, Kotlin produces larger and more varied bytecode than Java for a majority of the benchmarks. / Denna studie utvärderar prestandan mellan Kotlin och Java på Android Runtime genom 12 implementationer av fyra benchmarks från The Computer Language Benchmarks Game. De mätvärden som använts för att utvärdera prestandan inkluderar körtid, minnesanvändning, garbage collection, boxing av primitiver samt bytekod n-grams. För att benchmarka språken har en benchmarkapplikation tagits fram för Android. Resultaten visar att Kotlin är långsammare än Java för samtliga benchmarks. Vidare resulterar användandet av idiomatiska Kotlin-funktioner i ökad minnesanvänding samt behovet att representera primitiver som klasser. Andra intressanta resultat inkluderar existensen av en overhead för garbage collectorn för frigörandet av objekt som allokerats av Kotlin jämfört med Java. Vidare producerar Kotlin större bytekodfiler och uppvisar mer varierad bytekod än Java för en majoritet av de benchmarks som studerats. Java Kotlin Android Android Runtime ART CLBG Computer Language Benchmarks Game Runtime Performance Runtime Memory consumption Garbage collection Boxing of primitives Java Kotlin Android Android Runtime ART CLBG Computer Language Benchmarks Game Prestanda Körtid Minnesanvändning Garbage collection Boxing av primitiver Computer Sciences Datavetenskap (datalogi)

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Aktivní IP geolokace pro verifikaci pozic stanic v Internetu / Active IP Geolocation for Verification Host Position in Internet

Performance Evaluation of Kotlin and Java on Android Runtime / Prestandautvärdering av Kotlin och Java för Android Runtime