Anthurium splendidum Bull.

anonym

Ole Bull, Brustbild

Signatur des Originals: S 36/F00241

Ole Bull, Kniestück, mit Violine

Signatur des Originals: S 36/F00242

Ole Bull, Brustbild

Signatur des Originals: S 36/F08323

Ole Bull, Hüftbild

Signatur des Originals: S 36/G02856

Ole Bull, Hüftbild

Signatur des Originals: S 36/G02857

Ole Bull, Hüftbild

Signatur des Originals: S 36/G02858

Ole Bull, Henri Vieuxtemps, Doppelbildnis, Hüftbild

Signatur des Originals: S 36/G02859

Ole Bull, Kniestück

Signatur des Originals: S 36/G03963

Analyses of manganese deposits in the Riding Mountain area

Several bog manganese deposits were discovered in the Riding Mountain area in Manitoba during the spring and summer of 1940. A study was made of the known deposits to determine the grade of the occurrences, a possible source of the manganese oxides in the bog deposits and the possibilities of locating other manganese occurrences. Samples of the bog manganese, of spring waters from which the manganese oxides have apparently been precipitated, of the Odanah shale in which the deposits occur, and of "ironstone" nodules found in the Odanah and Riding Mountain shales were gathered in the field and later analyzed. In addition to chemical analyses of the above-mentioned samples, several polished sections of the manganese oxides were prepared and studied under the microscope, thin-sections of nodules were examined, and spectrographic analyses of both nodules and bog manganese were made. ...

Riding out of the storm: How to deal with the complexity of grid and cloud management

Over the last decade, Grid computing paved the way for a new level of large scale distributed systems. This infrastructure made it possible to securely and reliably take advantage of widely separated computational resources that are part of several different organizations. Resources can be incorporated to the Grid, building a theoretical virtual supercomputer. In time, cloud computing emerged as a new type of large scale distributed system, inheriting and expanding the expertise and knowledge that have been obtained so far. Some of the main characteristics of Grids naturally evolved into clouds, others were modified and adapted and others were simply discarded or postponed. Regardless of these technical specifics, both Grids and clouds together can be considered as one of the most important advances in large scale distributed computing of the past ten years; however, this step in distributed computing has came along with a completely new level of complexity. Grid and cloud management mechanisms play a key role, and correct analysis and understanding of the system behavior are needed. Large scale distributed systems must be able to self-manage, incorporating autonomic features capable of controlling and optimizing all resources and services. Traditional distributed computing management mechanisms analyze each resource separately and adjust specific parameters of each one of them. When trying to adapt the same procedures to Grid and cloud computing, the vast complexity of these systems can make this task extremely complicated. But large scale distributed systems complexity could only be a matter of perspective. It could be possible to understand the Grid or cloud behavior as a single entity, instead of a set of resources. This abstraction could provide a different understanding of the system, describing large scale behavior and global events that probably would not be detected analyzing each resource separately. In this work we define a theoretical framework that combines both ideas, multiple resources and single entity, to develop large scale distributed systems management techniques aimed at system performance optimization, increased dependability and Quality of Service (QoS). The resulting synergy could be the key 350 J. Montes et al. to address the most important difficulties of Grid and cloud management.

Bull Ring, Villaviciosa de Odón, Madrid (1994)

Proyecto para la Plaza de toros, Villaviciosa de Odón, Madrid