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Storage is an important part of the background in many archaeological studies of the origins of early complex societies. Yet, a problem with many of these studies of formation and change in complex societies is that the social significance of storage is assumed rather than demonstrated. In this dissertation, I examine the practice of storage in three regions of prehistoric Korea and its relationship with socio-political structural changes. I analyze the distribution of storage artifacts and features such as pits, large-capacity pottery, and raised-floor structures in the context of their spatial relationships with other archaeological features and elite precincts at the household and settlement levels. The archaeological features used for storage in the Mumun Pottery Period (3390-2290 calibrated years B.P.) changed in form diachronically and show that underground pit storage remained constant during the period of study and that clandestine storage was not completely replaced by above-ground visible storage. Elite actors seem to have had some influence on the nature of storage in at least two central settlements, Daepyeong I and II and Songguk-ri, but appear to have been unable to completely control stored agricultural surplus in the two settlements and had little control over the surrounding areas.

Storage is an important part of the background in many archaeological studies of the origins of early complex societies. Yet, a problem with many of these studies of formation and change in complex societies is that the social significance of storage is assumed rather than demonstrated. In this dissertation, I examine the practice of storage in three regions of prehistoric Korea and its relationship with socio-political structural changes. I analyze the distribution of storage artifacts and features such as pits, large-capacity pottery, and raised-floor structures in the context of their spatial relationships with other archaeological features and elite precincts at the household and settlement levels. The archaeological features used for storage in the Mumun Pottery Period (3390-2290 calibrated years B.P.) changed in form diachronically and show that underground pit storage remained constant during the period of study and that clandestine storage was not completely replaced by above-ground visible storage. Elite actors seem to have had some influence on the nature of storage in at least two central settlements, Daepyeong I and II and Songguk-ri, but appear to have been unable to completely control stored agricultural surplus in the two settlements and had little control over the surrounding areas.

<p>Information in a data warehouse is stored in materialized views, which must be kept consistent with respect to changes made in the sources. This problem has been extensively studied in the relational model. The process is referred to as view maintenance.</p><p>XML is emerging as the de facto standard for data representation and data exchange of semistructured data. Most discussions involving XML assume the XML data is stored in plain text files. However, there are a number of different approaches for storing XML data, which can be categorized according to the underlying system used.</p><p>Views and materialized views can also be specified in XML. This dissertation investigates how view maintenance in an XML context is influenced by the utilized approach for storage. We survey existing storage strategies using a relational database as the underlying system for storage, and storage strategies using plain text files. Further, we survey approaches for maintenance in the context of XML. We investigate three selected storage strategies in detail. We conclude with some insights gained during the investigation.</p>

Information in a data warehouse is stored in materialized views, which must be kept consistent with respect to changes made in the sources. This problem has been extensively studied in the relational model. The process is referred to as view maintenance. XML is emerging as the de facto standard for data representation and data exchange of semistructured data. Most discussions involving XML assume the XML data is stored in plain text files. However, there are a number of different approaches for storing XML data, which can be categorized according to the underlying system used. Views and materialized views can also be specified in XML. This dissertation investigates how view maintenance in an XML context is influenced by the utilized approach for storage. We survey existing storage strategies using a relational database as the underlying system for storage, and storage strategies using plain text files. Further, we survey approaches for maintenance in the context of XML. We investigate three selected storage strategies in detail. We conclude with some insights gained during the investigation.

Webbapplikationers komplexitet och mängden avancerade tjänster ökar. Loggning av aktiviteter kan öka förståelsen över användares beteenden och behov, men används i för stor mängd utan relevant information. Mer avancerade system medför ökade krav för prestandan och loggning blir än mer krävande för systemen. Det finns behov av smartare system, utveckling inom tekniker för prestandaförbättringar och tekniker för datainsamling. Arbetet kommer undersöka hur svarstider påverkas vid loggning av serverdata, enligt datainsamlingsfasen i web usage mining, beroende på lagringsstrategier. Hypotesen är att loggning kan försämra svarstider ytterligare. Experiment genomförs där fyra olika lagringsstrategier används för att lagra serverdata med olika tabell- och databasstrukturer, för att se vilken strategi som påverkar svarstiderna minst. Experimentet påvisar statistiskt signifikant skillnad mellan lagringsstrategierna enligt ANOVA. Lagringsstrategi 4 påvisar bäst effekt för prestandans genomsnittliga svarstid, jämfört med lagringsstrategi 2 som påvisar mest negativ effekt för den genomsnittliga svarstiden. Framtida arbete vore intressant för att stärka resultaten. / Web applications complexity and the amount of advanced services increases. Logging activities can increase the understanding of users behavior and needs, but is used too much without relevant information. More advanced systems brings increased requirements for performance and logging becomes even more demanding for the systems. There is need of smarter systems, development within the techniques for performance improvements and techniques for data collection. This work will investigate how response times are affected when logging server data, according to the data collection phase in web usage mining, depending on storage strategies. The hypothesis is that logging may degrade response times even further. An experiment was conducted in which four different storage strategies are used to store server data with different table- and database structures, to see which strategy affects the response times least. The experiment proves statistically significant difference between the storage strategies with ANOVA. Storage strategy 4 proves the best effect for the performance average response time compared with storage strategy 2, which proves the most negative effect for the average response time. Future work would be interesting for strengthening the results.