Stream Processing Systems Benchmark: StreamBench

Batch processing technologies (Such as MapReduce, Hive, Pig) have matured and been widely used in the industry. These systems solved the issue processing big volumes of data successfully. However, first big amount of data need to be collected and stored in a database or file system. That is very time-consuming. Then it takes time to finish batch processing analysis jobs before get any results. While there are many cases that need analysed results from unbounded sequence of data in seconds or sub-seconds. To satisfy the increasing demand of processing such streaming data, several streaming processing systems are implemented and widely adopted, such as Apache Storm, Apache Spark, IBM InfoSphere Streams, and Apache Flink. They all support online stream processing, high scalability, and tasks monitoring. While how to evaluate stream processing systems before choosing one in production development is an open question. In this thesis, we introduce StreamBench, a benchmark framework to facilitate performance comparisons of stream processing systems. A common API component and a core set of workloads are defined. We implement the common API and run benchmarks for three widely used open source stream processing systems: Apache Storm, Flink, and Spark Streaming. A key feature of the StreamBench framework is that it is extensible -- it supports easy definition of new workloads, in addition to making it easy to benchmark new stream processing systems

Tools and Algorithms for the Construction and Analysis of Systems

This open access book constitutes the proceedings of the 28th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2022, which was held during April 2-7, 2022, in Munich, Germany, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022. The 46 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 159 submissions. The proceedings also contain 16 tool papers of the affiliated competition SV-Comp and 1 paper consisting of the competition report. TACAS is a forum for researchers, developers, and users interested in rigorously based tools and algorithms for the construction and analysis of systems. The conference aims to bridge the gaps between different communities with this common interest and to support them in their quest to improve the utility, reliability, exibility, and efficiency of tools and algorithms for building computer-controlled systems

Tools and Algorithms for the Construction and Analysis of Systems

This open access book constitutes the proceedings of the 28th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2022, which was held during April 2-7, 2022, in Munich, Germany, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022. The 46 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 159 submissions. The proceedings also contain 16 tool papers of the affiliated competition SV-Comp and 1 paper consisting of the competition report. TACAS is a forum for researchers, developers, and users interested in rigorously based tools and algorithms for the construction and analysis of systems. The conference aims to bridge the gaps between different communities with this common interest and to support them in their quest to improve the utility, reliability, exibility, and efficiency of tools and algorithms for building computer-controlled systems

Tools and Algorithms for the Construction and Analysis of Systems

This open access book constitutes the proceedings of the 28th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2022, which was held during April 2-7, 2022, in Munich, Germany, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022. The 46 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 159 submissions. The proceedings also contain 16 tool papers of the affiliated competition SV-Comp and 1 paper consisting of the competition report. TACAS is a forum for researchers, developers, and users interested in rigorously based tools and algorithms for the construction and analysis of systems. The conference aims to bridge the gaps between different communities with this common interest and to support them in their quest to improve the utility, reliability, exibility, and efficiency of tools and algorithms for building computer-controlled systems

Benchmarking to trigger and sustain the introduction of cleaner production in small to medium sized enterprises

This thesis investigates benchmarking (and associated capacity building activities) as a trigger for the diffusion and implementation of Cleaner Production. The critical success factors for the environmental benchmarking process are: The identification of gaps in environmental performance in areas important to the long-term future of the businesses; Providing and/or promoting the drivers to close the performance gaps; Ensuring business managers possess the ability and tools to close the performance gap. A program was developed implementing these factors and delivered to the drycleaning industry in Western Australia. This program identified large performance gaps for the different Eco-Efficiency indicators. The participants accepted the benchmarks (which are amended for 'economies of scale' if required) as suitable targets and committed their businesses to achieving these in their action plans. Economic benefits, managing environmental risk and maintaining their licence to operate were found to be important drivers. Participants on average reduced hazardous waste generation by 48%, improved their chemical efficiency by 30% and their energy efficiency by 9%, while individual business manager's levels of Eco-Efficiency improvements varied widely. The businesses with the higher levels of productivity and the greatest experience in the industry obtained the greatest improvements in Eco-Efficiency from the program. Furthermore, the business managers involved in the program had a significantly higher uptake of Cleaner Production in comparison with control groups, both inside the drycleaning sector as well as in 3 other sectors dominated by small to medium-sized enterprises.This research indicates that benchmarking for small businesses needs to be part of an on-going industry specific capacity building program with the opportunity to network in a supportive atmosphere. When this is the case, improved environmental accounting practices and benchmarking can trigger and sustain the uptake of Cleaner Production to improve the Eco-Efficiency of small businesses

Tools and Algorithms for the Construction and Analysis of Systems

This open access book constitutes the proceedings of the 28th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2022, which was held during April 2-7, 2022, in Munich, Germany, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022. The 46 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 159 submissions. The proceedings also contain 16 tool papers of the affiliated competition SV-Comp and 1 paper consisting of the competition report. TACAS is a forum for researchers, developers, and users interested in rigorously based tools and algorithms for the construction and analysis of systems. The conference aims to bridge the gaps between different communities with this common interest and to support them in their quest to improve the utility, reliability, exibility, and efficiency of tools and algorithms for building computer-controlled systems

Enabling the use of embedded and mobile technologies for high-performance computing

In the late 1990s, powerful economic forces led to the adoption of commodity desktop processors in High-Performance Computing(HPC). This transformation has been so effective that the November 2016 TOP500 list is still dominated by x86 architecture. In 2016, the largest commodity market in computing is not PCs or servers, but mobile computing, comprising smartphones andtablets, most of which are built with ARM-based Systems on Chips (SoC). This suggests that once mobile SoCs deliver sufficient performance, mobile SoCs can help reduce the cost of HPC. This thesis addresses this question in detail.We analyze the trend in mobile SoC performance, comparing it with the similar trend in the 1990s. Through development of real system prototypes and their performance analysis we assess the feasibility of building an HPCsystem based on mobile SoCs. Through simulation of the future mobile SoC, we identify the missing features and suggest improvements that would enable theuse of future mobile SoCs in HPC environment. Thus, we present design guidelines for future generations mobile SoCs, and HPC systems built around them, enabling the newclass of cheap supercomputers.A finales de la década de los 90, razones económicas llevaron a la adopción de procesadores de uso general en sistemas de Computación de Altas Prestaciones (HPC). Esta transformación ha sido tan efectiva que la lista TOP500 de noviembre de 2016 sigue aun dominada por la arquitectura x86. En 2016, el mayor mercado de productos básicos en computación no son los ordenadores de sobremesa o los servidores, sino la computación móvil, que incluye teléfonos inteligentes y tabletas, la mayoría de los cuales están construidos con sistemas en chip(SoC) de arquitectura ARM. Esto sugiere que una vez que los SoC móviles ofrezcan un rendimiento suficiente, podrán utilizarse para reducir el costo desistemas HPC. Esta tesis aborda esta cuestión en detalle. Analizamos la tendencia del rendimiento de los SoC para móvil, comparándola con la tendencia similar ocurrida en los añosnoventa. A través del desarrollo de prototipos de sistemas reales y su análisis de rendimiento, evaluamos la factibilidad de construir unsistema HPC basado en SoCs móviles. A través de la simulación de SoCs móviles futuros, identificamos las características que faltan y sugerimos mejoras quepermitirían su uso en entornos HPC. Por lo tanto, presentamos directrices de diseño para futuras generaciones de SoCs móviles y sistemas HPC construidos a sualrededor, para permitir la construcción de una nueva clase de supercomputadores de coste reducido

Automated detection of reflection in texts. A machine learning based approach

Promoting reflective thinking is an important educational goal. A common educational practice is to provide opportunities for learners to express their reflective thoughts in writing. The analysis of such text with regard to reflection is mainly a manual task that employs the principles of content analysis. Considering the amount of text produced by online learning systems, tools that automatically analyse text with regard to reflection would greatly benefit research and practice. Previous research has explored the potential of dictionary-based approaches that automatically map keywords to categories associated with reflection. Other automated methods use manually constructed rules to gauge insight from text. Machine learning has shown potential for classifying text with regard to reflection-related constructs. However, not much is known of whether machine learning can be used to reliably analyse text with regard to the categories of reflective writing models. This thesis investigates the reliability of machine learning algorithms to detect reflective thinking in text. In particular, it studies whether text segments from student writings can be analysed automatically to detect the presence (or absence) of reflective writing model categories. A synthesis of the models of reflective writing is performed to determine the categories frequently used to analyse reflective writing. For each of these categories, several machine learning algorithms are evaluated with regard to their ability to reliably detect reflective writing categories. The evaluation finds that many of the categories can be predicted reliably. The automated method, however, does not achieve the same level of reliability as humans do

The Remains of Agriculture: Agrarian Projects, Livelihoods, and Landscape in East Hawaiʻi, Hawaiʻi Island

PhD University of Hawaii at Manoa 2016Includes bibliographical references (leaves 149–163).This dissertation considers the role of diversified agriculture in the post-plantation rural landscape of Hawai‘i County, Hawaiʻi, by examining the intersection between Hawaiʻi’s agrarian discourse with the realities of agricultural livelihoods and lifestyles in East Hawaiʻi. It uses a political ecology approach to examine how broader structural and discursive processes at the regional level work to shape local actor‟s interactions with their environment, and in turn how place-based processes work to influence the larger agrarian discourse and approaches to resource-based issues. This work is based on two years of field work in East Hawaiʻi, Hawaiʻi County, and an additional five years working in the agriculture industry as a farm laborer and agricultural business developer. This research seeks to understand the disproportionate social and ideological significance the industry has to state and county policy makers and rural residents, given its relatively low contribution to the Hawaiʻi’s overall economy. This work highlights the opportunities and challenges of re-creating an agricultural industry in Hawaiʻi through an examination of land-based projects initiated by large landowners in East Hawaiʻi, including the State Department of Agriculture and the County of Hawaiʻi. It finds that the push to create a diversified agricultural economy in East Hawaiʻi has largely been a socio-political project of major landowners, with their agricultural initiatives having several intended and unintended consequences for rural communities. This work suggests that Hawaiʻi Island’s new diversified agricultural industry was largely not born from a demand for agricultural land or a demand for locally-grown food, however as the familiarity and popularity of local food increases, and agriculture becomes a desirable occupation and lifestyle, the industry in East Hawaiʻi, and across the state, is beginning to grow. Consequently, the re-creation (or creation) of an agrarian economy in East Hawaiʻi – reliant upon the slow and steady development of markets, infrastructure, and human capacity – would benefit from a shift in how we define and understand ‘agriculture’ in a Hawaiʻi context, toward one that accounts for diverse agricultural economies, the role of all rural residents in shaping a new agrarian future, and the unique evolution of Hawaiʻi’s rural places

The Music Sound

A guide for music: compositions, events, forms, genres, groups, history, industry, instruments, language, live music, musicians, songs, musicology, techniques, terminology , theory, music video. Music is a human activity which involves structured and audible sounds, which is used for artistic or aesthetic, entertainment, or ceremonial purposes. The traditional or classical European aspects of music often listed are those elements given primacy in European-influenced classical music: melody, harmony, rhythm, tone color/timbre, and form. A more comprehensive list is given by stating the aspects of sound: pitch, timbre, loudness, and duration. Common terms used to discuss particular pieces include melody, which is a succession of notes heard as some sort of unit; chord, which is a simultaneity of notes heard as some sort of unit; chord progression, which is a succession of chords (simultaneity succession); harmony, which is the relationship between two or more pitches; counterpoint, which is the simultaneity and organization of different melodies; and rhythm, which is the organization of the durational aspects of music