Suchergebnisse

The article examines the legal regulation of using cloud technologies for information storage. The author analyses the legal acts of Ukraine, the European Union, the USA, and self-governing organisations that unite intermediaries of cloud information systems regulating relations in data storage and using cloud technologies for user information processing. The author considers the provisions on the definition of cloud computing and cloud storage from the point of view of law. The author analyses specific regulations governing legal relations in the storage field and the use of information in cloud storage. The main functions are analysed: information storage creation of a multi-level database; collection of data and their systematisation, storage of big data and their processing; information exchange; support of other services; collection of data and their distribution by applications; and economic function. It is noted that the legal regulation of information storage in cloud storage is complex.

AbstractAutonomous vehicle storage and retrieval systems have greatly increased in popularity in the last decade. In such a system, at each tier multiple roaming vehicles transport totes between the storage locations and the lifts. However, this may lead to vehicle interference. We study in which order and by which vehicle the storage and retrieval requests should be executed to minimize the makespan, without vehicle interference. The optimal storage locations for incoming totes are also determined. A blocking mitigation protocol is proposed to address vehicle interference. We propose a two‐phase matheuristic, where in the first phase, the tier is divided into zones, with each zone assigned its own vehicle. The second phase focuses on reassigning requests between adjacent vehicles to obtain improved solutions. The models proposed in both phases are solved to optimality in polynomial time and pseudo‐polynomial time, respectively. Computational experiments show that the matheuristic produces high‐quality solutions within a few seconds, even for large‐sized instances, making it suitable for real‐time decisions. Compared to methods commonly used in practice, our matheuristic can reduce the makespan by up to 15%. Our results show that making integrated decisions that combine storage assignment and request scheduling, is more beneficial than sequential optimization in terms of throughput performance, space utilization and overall system cost. We also find that increasing the number of vehicles has a diminishing return effect on the makespan. Another finding is that the system with a large number of short storage aisles leads to higher throughput capacity than that with a small number of long storage aisles.

AbstractThis paper discusses ways and means for reducing storage requirements in the logistic pipeline.

The current usage of DDI is heterogeneous. It varies over different versions of DDI, different grouping, and unequal interpretation of elements. Therefore, provider of services based on DDI implement complex database models for each developed application, resulting in high costs and application specific and non-reusable models.
This paper shows a way to model the binding of DDI to applications in a way that it works independent of most version changes and interpretative differences in a standard like DDI without continuous reimplementation. Based on our DDI-FlatDB approach, shown first at EDDI 2015 & 2016, we present a complete implementation along the use case of a web-based questionnaire editor including sustainable solution for version management and efficient handling of large DDI structures. The user interface is adaptable to different usage scenarios to come. The application supports DDI-Lifecycle from the first question draft and hands over structured (meta-) data to survey institutes and data archives and supports the collaborative questionnaire development for the Pre-election Cross-Section of the German Longitudinal Election Study from early 2017 on.