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    ๊ฐ„๊ฒฐํ•œ ์ž๋ฃŒ๊ตฌ์กฐ๋ฅผ ํ™œ์šฉํ•œ ๋ฐ˜๊ตฌ์กฐํ™”๋œ ๋ฌธ์„œ ํ˜•์‹๋“ค์˜ ๊ณต๊ฐ„ ํšจ์œจ์  ํ‘œํ˜„๋ฒ•

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์ „๊ธฐยท์ปดํ“จํ„ฐ๊ณตํ•™๋ถ€, 2021. 2. Srinivasa Rao Satti.Numerous big data are generated from a plethora of sources. Most of the data stored as files contain a non-fixed type of schema, so that the files are suitable to be maintained as semi-structured document formats. A number of those formats, such as XML (eXtensible Markup Language), JSON (JavaScript Object Notation), and YAML (YAML Ain't Markup Language) are suggested to sustain hierarchy in the original corpora of data. Several data models structuring the gathered data - including RDF (Resource Description Framework) - depend on the semi-structured document formats to be serialized and transferred for future processing. Since the semi-structured document formats focus on readability and verbosity, redundant space is required to organize and maintain the document. Even though general-purpose compression schemes are widely used to compact the documents, applying those algorithms hinder future handling of the corpora, owing to loss of internal structures. The area of succinct data structures is widely investigated and researched in theory, to provide answers to the queries while the encoded data occupy space close to the information-theoretic lower bound. Bit vectors and trees are the notable succinct data structures. Nevertheless, there were few attempts to apply the idea of succinct data structures to represent the semi-structured documents in space-efficient manner. In this dissertation we propose a unified, space-efficient representation of various semi-structured document formats. The core functionality of this representation is its compactness and query-ability derived from enriched functions of succinct data structures. Incorporation of (a) bit indexed arrays, (b) succinct ordinal trees, and (c) compression techniques engineers the compact representation. We implement this representation in practice, and show by experiments that construction of this representation decreases the disk usage by up to 60% while occupying 90% less RAM. We also allow processing a document in partial manner, to allow processing of larger corpus of big data even in the constrained environment. In parallel to establishing the aforementioned compact semi-structured document representation, we provide and reinforce some of the existing compression schemes in this dissertation. We first suggest an idea to encode an array of integers that is not necessarily sorted. This compaction scheme improves upon the existing universal code systems, by assistance of succinct bit vector structure. We show that our suggested algorithm reduces space usage by up to 44% while consuming 15% less time than the original code system, while the algorithm additionally supports random access of elements upon the encoded array. We also reinforce the SBH bitmap index compression algorithm. The main strength of this scheme is the use of intermediate super-bucket during operations, giving better performance on querying through a combination of compressed bitmap indexes. Inspired from splits done during the intermediate process of the SBH algorithm, we give an improved compression mechanism supporting parallelism that could be utilized in both CPUs and GPUs. We show by experiments that this CPU parallel processing optimization diminishes compression and decompression times by up to 38% in a 4-core machine without modifying the bitmap compressed form. For GPUs, the new algorithm gives 48% faster query processing time in the experiments, compared to the previous existing bitmap index compression schemes.์…€ ์ˆ˜ ์—†๋Š” ๋น… ๋ฐ์ดํ„ฐ๊ฐ€ ๋‹ค์–‘ํ•œ ์›๋ณธ๋กœ๋ถ€ํ„ฐ ์ƒ์„ฑ๋˜๊ณ  ์žˆ๋‹ค. ์ด๋“ค ๋ฐ์ดํ„ฐ์˜ ๋Œ€๋ถ€๋ถ„์€ ๊ณ ์ •๋˜์ง€ ์•Š์€ ์ข…๋ฅ˜์˜ ์Šคํ‚ค๋งˆ๋ฅผ ํฌํ•จํ•œ ํŒŒ์ผ ํ˜•ํƒœ๋กœ ์ €์žฅ๋˜๋Š”๋ฐ, ์ด๋กœ ์ธํ•˜์—ฌ ๋ฐ˜๊ตฌ์กฐํ™”๋œ ๋ฌธ์„œ ํ˜•์‹์„ ์ด์šฉํ•˜์—ฌ ํŒŒ์ผ์„ ์œ ์ง€ํ•˜๋Š” ๊ฒƒ์ด ์ ํ•ฉํ•˜๋‹ค. XML, JSON ๋ฐ YAML๊ณผ ๊ฐ™์€ ์ข…๋ฅ˜์˜ ๋ฐ˜๊ตฌ์กฐํ™”๋œ ๋ฌธ์„œ ํ˜•์‹์ด ๋ฐ์ดํ„ฐ์— ๋‚ด์žฌํ•˜๋Š” ๊ตฌ์กฐ๋ฅผ ์œ ์ง€ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์ œ์•ˆ๋˜์—ˆ๋‹ค. ์ˆ˜์ง‘๋œ ๋ฐ์ดํ„ฐ๋ฅผ ๊ตฌ์กฐํ™”ํ•˜๋Š” RDF์™€ ๊ฐ™์€ ์—ฌ๋Ÿฌ ๋ฐ์ดํ„ฐ ๋ชจ๋ธ๋“ค์€ ์‚ฌํ›„ ์ฒ˜๋ฆฌ๋ฅผ ์œ„ํ•œ ์ €์žฅ ๋ฐ ์ „์†ก์„ ์œ„ํ•˜์—ฌ ๋ฐ˜๊ตฌ์กฐํ™”๋œ ๋ฌธ์„œ ํ˜•์‹์— ์˜์กดํ•œ๋‹ค. ๋ฐ˜๊ตฌ์กฐํ™”๋œ ๋ฌธ์„œ ํ˜•์‹์€ ๊ฐ€๋…์„ฑ๊ณผ ๋‹ค๋ณ€์„ฑ์— ์ง‘์ค‘ํ•˜๊ธฐ ๋•Œ๋ฌธ์—, ๋ฌธ์„œ๋ฅผ ๊ตฌ์กฐํ™”ํ•˜๊ณ  ์œ ์ง€ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์ถ”๊ฐ€์ ์ธ ๊ณต๊ฐ„์„ ํ•„์š”๋กœ ํ•œ๋‹ค. ๋ฌธ์„œ๋ฅผ ์••์ถ•์‹œํ‚ค๊ธฐ ์œ„ํ•˜์—ฌ ์ผ๋ฐ˜์ ์ธ ์••์ถ• ๊ธฐ๋ฒ•๋“ค์ด ๋„๋ฆฌ ์‚ฌ์šฉ๋˜๊ณ  ์žˆ์œผ๋‚˜, ์ด๋“ค ๊ธฐ๋ฒ•๋“ค์„ ์ ์šฉํ•˜๊ฒŒ ๋˜๋ฉด ๋ฌธ์„œ์˜ ๋‚ด๋ถ€ ๊ตฌ์กฐ์˜ ์†์‹ค๋กœ ์ธํ•˜์—ฌ ๋ฐ์ดํ„ฐ์˜ ์‚ฌํ›„ ์ฒ˜๋ฆฌ๊ฐ€ ์–ด๋ ต๊ฒŒ ๋œ๋‹ค. ๋ฐ์ดํ„ฐ๋ฅผ ์ •๋ณด์ด๋ก ์  ํ•˜ํ•œ์— ๊ฐ€๊นŒ์šด ๊ณต๊ฐ„๋งŒ์„ ์‚ฌ์šฉํ•˜์—ฌ ์ €์žฅ์„ ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•˜๋ฉด์„œ ์งˆ์˜์— ๋Œ€ํ•œ ์‘๋‹ต์„ ์ œ๊ณตํ•˜๋Š” ๊ฐ„๊ฒฐํ•œ ์ž๋ฃŒ๊ตฌ์กฐ๋Š” ์ด๋ก ์ ์œผ๋กœ ๋„๋ฆฌ ์—ฐ๊ตฌ๋˜๊ณ  ์žˆ๋Š” ๋ถ„์•ผ์ด๋‹ค. ๋น„ํŠธ์—ด๊ณผ ํŠธ๋ฆฌ๊ฐ€ ๋„๋ฆฌ ์•Œ๋ ค์ง„ ๊ฐ„๊ฒฐํ•œ ์ž๋ฃŒ๊ตฌ์กฐ๋“ค์ด๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋ฐ˜๊ตฌ์กฐํ™”๋œ ๋ฌธ์„œ๋“ค์„ ์ €์žฅํ•˜๋Š” ๋ฐ ๊ฐ„๊ฒฐํ•œ ์ž๋ฃŒ๊ตฌ์กฐ์˜ ์•„์ด๋””์–ด๋ฅผ ์ ์šฉํ•œ ์—ฐ๊ตฌ๋Š” ๊ฑฐ์˜ ์ง„ํ–‰๋˜์ง€ ์•Š์•˜๋‹ค. ๋ณธ ํ•™์œ„๋…ผ๋ฌธ์„ ํ†ตํ•ด ์šฐ๋ฆฌ๋Š” ๋‹ค์–‘ํ•œ ์ข…๋ฅ˜์˜ ๋ฐ˜๊ตฌ์กฐํ™”๋œ ๋ฌธ์„œ ํ˜•์‹์„ ํ†ต์ผ๋˜๊ฒŒ ํ‘œํ˜„ํ•˜๋Š” ๊ณต๊ฐ„ ํšจ์œจ์  ํ‘œํ˜„๋ฒ•์„ ์ œ์‹œํ•œ๋‹ค. ์ด ๊ธฐ๋ฒ•์˜ ์ฃผ์š”ํ•œ ๊ธฐ๋Šฅ์€ ๊ฐ„๊ฒฐํ•œ ์ž๋ฃŒ๊ตฌ์กฐ๊ฐ€ ๊ฐ•์ ์œผ๋กœ ๊ฐ€์ง€๋Š” ํŠน์„ฑ์— ๊ธฐ๋ฐ˜ํ•œ ๊ฐ„๊ฒฐ์„ฑ๊ณผ ์งˆ์˜ ๊ฐ€๋Šฅ์„ฑ์ด๋‹ค. ๋น„ํŠธ์—ด๋กœ ์ธ๋ฑ์‹ฑ๋œ ๋ฐฐ์—ด, ๊ฐ„๊ฒฐํ•œ ์ˆœ์„œ ์žˆ๋Š” ํŠธ๋ฆฌ ๋ฐ ๋‹ค์–‘ํ•œ ์••์ถ• ๊ธฐ๋ฒ•์„ ํ†ตํ•ฉํ•˜์—ฌ ํ•ด๋‹น ํ‘œํ˜„๋ฒ•์„ ๊ณ ์•ˆํ•˜์˜€๋‹ค. ์ด ๊ธฐ๋ฒ•์€ ์‹ค์žฌ์ ์œผ๋กœ ๊ตฌํ˜„๋˜์—ˆ๊ณ , ์‹คํ—˜์„ ํ†ตํ•˜์—ฌ ์ด ๊ธฐ๋ฒ•์„ ์ ์šฉํ•œ ๋ฐ˜๊ตฌ์กฐํ™”๋œ ๋ฌธ์„œ๋“ค์€ ์ตœ๋Œ€ 60% ์ ์€ ๋””์Šคํฌ ๊ณต๊ฐ„๊ณผ 90% ์ ์€ ๋ฉ”๋ชจ๋ฆฌ ๊ณต๊ฐ„์„ ํ†ตํ•ด ํ‘œํ˜„๋  ์ˆ˜ ์žˆ๋‹ค๋Š” ๊ฒƒ์„ ๋ณด์ธ๋‹ค. ๋”๋ถˆ์–ด ๋ณธ ํ•™์œ„๋…ผ๋ฌธ์—์„œ ๋ฐ˜๊ตฌ์กฐํ™”๋œ ๋ฌธ์„œ๋“ค์€ ๋ถ„ํ• ์ ์œผ๋กœ ํ‘œํ˜„์ด ๊ฐ€๋Šฅํ•จ์„ ๋ณด์ด๊ณ , ์ด๋ฅผ ํ†ตํ•˜์—ฌ ์ œํ•œ๋œ ํ™˜๊ฒฝ์—์„œ๋„ ๋น… ๋ฐ์ดํ„ฐ๋ฅผ ํ‘œํ˜„ํ•œ ๋ฌธ์„œ๋“ค์„ ์ฒ˜๋ฆฌํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ๊ฒƒ์„ ๋ณด์ธ๋‹ค. ์•ž์„œ ์–ธ๊ธ‰ํ•œ ๊ณต๊ฐ„ ํšจ์œจ์  ๋ฐ˜๊ตฌ์กฐํ™”๋œ ๋ฌธ์„œ ํ‘œํ˜„๋ฒ•์„ ๊ตฌ์ถ•ํ•จ๊ณผ ๋™์‹œ์—, ๋ณธ ํ•™์œ„๋…ผ๋ฌธ์—์„œ ์ด๋ฏธ ์กด์žฌํ•˜๋Š” ์••์ถ• ๊ธฐ๋ฒ• ์ค‘ ์ผ๋ถ€๋ฅผ ์ถ”๊ฐ€์ ์œผ๋กœ ๊ฐœ์„ ํ•œ๋‹ค. ์ฒซ์งธ๋กœ, ๋ณธ ํ•™์œ„๋…ผ๋ฌธ์—์„œ๋Š” ์ •๋ ฌ ์—ฌ๋ถ€์— ๊ด€๊ณ„์—†๋Š” ์ •์ˆ˜ ๋ฐฐ์—ด์„ ๋ถ€ํ˜ธํ™”ํ•˜๋Š” ์•„์ด๋””์–ด๋ฅผ ์ œ์‹œํ•œ๋‹ค. ์ด ๊ธฐ๋ฒ•์€ ์ด๋ฏธ ์กด์žฌํ•˜๋Š” ๋ฒ”์šฉ ์ฝ”๋“œ ์‹œ์Šคํ…œ์„ ๊ฐœ์„ ํ•œ ํ˜•ํƒœ๋กœ, ๊ฐ„๊ฒฐํ•œ ๋น„ํŠธ์—ด ์ž๋ฃŒ๊ตฌ์กฐ๋ฅผ ์ด์šฉํ•œ๋‹ค. ์ œ์•ˆ๋œ ์•Œ๊ณ ๋ฆฌ์ฆ˜์€ ๊ธฐ์กด ๋ฒ”์šฉ ์ฝ”๋“œ ์‹œ์Šคํ…œ์— ๋น„ํ•ด ์ตœ๋Œ€ 44\% ์ ์€ ๊ณต๊ฐ„์„ ์‚ฌ์šฉํ•  ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ 15\% ์ ์€ ๋ถ€ํ˜ธํ™” ์‹œ๊ฐ„์„ ํ•„์š”๋กœ ํ•˜๋ฉฐ, ๊ธฐ์กด ์‹œ์Šคํ…œ์—์„œ ์ œ๊ณตํ•˜์ง€ ์•Š๋Š” ๋ถ€ํ˜ธํ™”๋œ ๋ฐฐ์—ด์—์„œ์˜ ์ž„์˜ ์ ‘๊ทผ์„ ์ง€์›ํ•œ๋‹ค. ๋˜ํ•œ ๋ณธ ํ•™์œ„๋…ผ๋ฌธ์—์„œ๋Š” ๋น„ํŠธ๋งต ์ธ๋ฑ์Šค ์••์ถ•์— ์‚ฌ์šฉ๋˜๋Š” SBH ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ๊ฐœ์„ ์‹œํ‚จ๋‹ค. ํ•ด๋‹น ๊ธฐ๋ฒ•์˜ ์ฃผ๋œ ๊ฐ•์ ์€ ๋ถ€ํ˜ธํ™”์™€ ๋ณตํ˜ธํ™” ์ง„ํ–‰ ์‹œ ์ค‘๊ฐ„ ๋งค๊ฐœ์ธ ์Šˆํผ๋ฒ„์ผ“์„ ์‚ฌ์šฉํ•จ์œผ๋กœ์จ ์—ฌ๋Ÿฌ ์••์ถ•๋œ ๋น„ํŠธ๋งต ์ธ๋ฑ์Šค์— ๋Œ€ํ•œ ์งˆ์˜ ์„ฑ๋Šฅ์„ ๊ฐœ์„ ์‹œํ‚ค๋Š” ๊ฒƒ์ด๋‹ค. ์œ„ ์••์ถ• ์•Œ๊ณ ๋ฆฌ์ฆ˜์˜ ์ค‘๊ฐ„ ๊ณผ์ •์—์„œ ์ง„ํ–‰๋˜๋Š” ๋ถ„ํ• ์—์„œ ์˜๊ฐ์„ ์–ป์–ด, ๋ณธ ํ•™์œ„๋…ผ๋ฌธ์—์„œ CPU ๋ฐ GPU์— ์ ์šฉ ๊ฐ€๋Šฅํ•œ ๊ฐœ์„ ๋œ ๋ณ‘๋ ฌํ™” ์••์ถ• ๋งค์ปค๋‹ˆ์ฆ˜์„ ์ œ์‹œํ•œ๋‹ค. ์‹คํ—˜์„ ํ†ตํ•ด CPU ๋ณ‘๋ ฌ ์ตœ์ ํ™”๊ฐ€ ์ด๋ฃจ์–ด์ง„ ์•Œ๊ณ ๋ฆฌ์ฆ˜์€ ์••์ถ•๋œ ํ˜•ํƒœ์˜ ๋ณ€ํ˜• ์—†์ด 4์ฝ”์–ด ์ปดํ“จํ„ฐ์—์„œ ์ตœ๋Œ€ 38\%์˜ ์••์ถ• ๋ฐ ํ•ด์ œ ์‹œ๊ฐ„์„ ๊ฐ์†Œ์‹œํ‚จ๋‹ค๋Š” ๊ฒƒ์„ ๋ณด์ธ๋‹ค. GPU ๋ณ‘๋ ฌ ์ตœ์ ํ™”๋Š” ๊ธฐ์กด์— ์กด์žฌํ•˜๋Š” GPU ๋น„ํŠธ๋งต ์••์ถ• ๊ธฐ๋ฒ•์— ๋น„ํ•ด 48\% ๋น ๋ฅธ ์งˆ์˜ ์ฒ˜๋ฆฌ ์‹œ๊ฐ„์„ ํ•„์š”๋กœ ํ•จ์„ ํ™•์ธํ•œ๋‹ค.Chapter 1 Introduction 1 1.1 Contribution 3 1.2 Organization 5 Chapter 2 Background 6 2.1 Model of Computation 6 2.2 Succinct Data Structures 7 Chapter 3 Space-efficient Representation of Integer Arrays 9 3.1 Introduction 9 3.2 Preliminaries 10 3.2.1 Universal Code System 10 3.2.2 Bit Vector 13 3.3 Algorithm Description 13 3.3.1 Main Principle 14 3.3.2 Optimization in the Implementation 16 3.4 Experimental Results 16 Chapter 4 Space-efficient Parallel Compressed Bitmap Index Processing 19 4.1 Introduction 19 4.2 Related Work 23 4.2.1 Byte-aligned Bitmap Code (BBC) 24 4.2.2 Word-Aligned Hybrid (WAH) 27 4.2.3 WAH-derived Algorithms 28 4.2.4 GPU-based WAH Algorithms 31 4.2.5 Super Byte-aligned Hybrid (SBH) 33 4.3 Parallelizing SBH 38 4.3.1 CPU Parallelism 38 4.3.2 GPU Parallelism 39 4.4 Experimental Results 40 4.4.1 Plain Version 41 4.4.2 Parallelized Version 46 4.4.3 Summary 49 Chapter 5 Space-efficient Representation of Semi-structured Document Formats 50 5.1 Preliminaries 50 5.1.1 Semi-structured Document Formats 50 5.1.2 Resource Description Framework 57 5.1.3 Succinct Ordinal Tree Representations 60 5.1.4 String Compression Schemes 64 5.2 Representation 66 5.2.1 Bit String Indexed Array 67 5.2.2 Main Structure 68 5.2.3 Single Document as a Collection of Chunks 72 5.2.4 Supporting Queries 73 5.3 Experimental Results 75 5.3.1 Datasets 76 5.3.2 Construction Time 78 5.3.3 RAM Usage during Construction 80 5.3.4 Disk Usage and Serialization Time 83 5.3.5 Chunk Division 83 5.3.6 String Compression 88 5.3.7 Query Time 89 Chapter 6 Conclusion 94 Bibliography 96 ์š”์•ฝ 109 Acknowledgements 111Docto

    Standart-konformes Snapshotting fรผr SystemC Virtuelle Plattformen

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    The steady increase in complexity of high-end embedded systems goes along with an increasingly complex design process. We are currently still in a transition phase from Hardware-Description Language (HDL) based design towards virtual-platform-based design of embedded systems. As design complexity rises faster than developer productivity a gap forms. Restoring productivity while at the same time managing increased design complexity can also be achieved through focussing on the development of new tools and design methodologies. In most application areas, high-level modelling languages such as SystemC are used in early design phases. In modern software development Continuous Integration (CI) is used to automatically test if a submitted piece of code breaks functionality. Application of the CI concept to embedded system design and testing requires fast build and test execution times from the virtual platform framework. For this use case the ability to save a specific state of a virtual platform becomes necessary. The saving and restoring of specific states of a simulation requires the ability to serialize all data structures within the simulation models. Improving the frameworks and establishing better methods will only help to narrow the design gap, if these changes are introduced with the needs of the engineers and developers in mind. Ultimately, it is their productivity that shall be improved. The ability to save the state of a virtual platform enables developers to run longer test campaigns that can even contain randomized test stimuli. If the saved states are modifiable the developers can inject faulty states into the simulation models. This work contributes an extension to the SoCRocket virtual platform framework to enable snapshotting. The snapshotting extension can be considered a reference implementation as the utilization of current SystemC/TLM standards makes it compatible to other frameworkds. Furthermore, integrating the UVM SystemC library into the framework enables test driven development and fast validation of SystemC/TLM models using snapshots. These extensions narrow the design gap by supporting designers, testers and developers to work more efficiently.Die stetige Steigerung der Komplexitรคt eingebetteter Systeme geht einher mit einer ebenso steigenden Komplexitรคt des Entwurfsprozesses. Wir befinden uns momentan in der รœbergangsphase vom Entwurf von eingebetteten Systemen basierend auf Hardware-Beschreibungssprachen hin zum Entwurf ebendieser basierend auf virtuellen Plattformen. Da die Entwurfskomplexitรคt rasanter steigt als die Produktivitรคt der Entwickler, entsteht eine Kluft. Die Produktivitรคt wiederherzustellen und gleichzeitig die gesteigerte Entwurfskomplexitรคt zu bewรคltigen, kann auch erreicht werden, indem der Fokus auf die Entwicklung neuer Werkzeuge und Entwurfsmethoden gelegt wird. In den meisten Anwendungsgebieten werden Modellierungssprachen auf hoher Ebene, wie zum Beispiel SystemC, in den frรผhen Entwurfsphasen benutzt. In der modernen Software-Entwicklung wird Continuous Integration (CI) benutzt um automatisiert zu รผberprรผfen, ob eine eingespielte ร„nderung am Quelltext bestehende Funktionalitรคten beeintrรคchtigt. Die Anwendung des CI-Konzepts auf den Entwurf und das Testen von eingebetteten Systemen fordert schnelle Bau- und Test-Ausfรผhrungszeiten von dem genutzten Framework fรผr virtuelle Plattformen. Fรผr diesen Anwendungsfall wird auch die Fรคhigkeit, einen bestimmten Zustand der virtuellen Plattform zu speichern, erforderlich. Das Speichern und Wiederherstellen der Zustรคnde einer Simulation erfordert die Serialisierung aller Datenstrukturen, die sich in den Simulationsmodellen befinden. Das Verbessern von Frameworks und Etablieren besserer Methodiken hilft nur die Entwurfs-Kluft zu verringern, wenn diese ร„nderungen mit Berรผcksichtigung der Bedรผrfnisse der Entwickler und Ingenieure eingefรผhrt werden. Letztendlich ist es ihre Produktivitรคt, die gesteigert werden soll. Die Fรคhigkeit den Zustand einer virtuellen Plattform zu speichern, ermรถglicht es den Entwicklern, lรคngere Testkampagnen laufen zu lassen, die auch zufรคllig erzeugte Teststimuli beinhalten kรถnnen oder, falls die gespeicherten Zustรคnde modifizierbar sind, fehlerbehaftete Zustรคnde in die Simulationsmodelle zu injizieren. Mein mit dieser Arbeit geleisteter Beitrag beinhaltet die Erweiterung des SoCRocket Frameworks um Checkpointing Funktionalitรคt im Sinne einer Referenzimplementierung. Weiterhin ermรถglicht die Integration der UVM SystemC Bibliothek in das Framework die Umsetzung der testgetriebenen Entwicklung und schnelle Validierung von SystemC/TLM Modellen mit Hilfe von Snapshots

    An optimality theory of concurrency control for databases

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    In many database applications it is desirable that the database system be time-shared among multiple users who access the database in an interactive way. In such a systewi the arriving requests for the execution of steps i

    06121 Abstracts Collection -- Atomicity: A Unifying Concept in Computer Science

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    From 19.03.06 to 24.03.06, the Dagstuhl Seminar 06121 ``Atomicity: A Unifying Concept in Computer Science\u27\u27 was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available
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