STORM: FUNCTIONAL DESCRIPTION

The StoRM service is a storage resource manager for generic disk based storage systems separating the data management layer from the underlying storage system

STORM: FUNCTIONAL DESCRIPTION

The StoRM service is a storage resource manager for generic disk based storage systems separating the data management layer from the underlying storage system

STORM FAQ AND TROUBLESHOOTING

The StoRM service is a storage resource manager for generic disk based storage systems separating the data management layer from the underlying storage system

Optimising carbon storage by land-management

As the UK’s largest non-government land-owner, the National Trust is committed to reducing its impact on climate change, recognising the importance of soil organic carbon (SOC), and its need for preservation. To establish if land-management could be optimised to increase carbon storage, ‘The Wallington Carbon Footprint Project’ was implemented. This study aimed to measure the Wallington Estate’s carbon stock, establish what controls SOC, identify carbon under-saturated soils, and make land-management change to increase SOC. To achieve these objectives a soil sampling campaign and land-use survey were undertaken at Wallington, with further sampling at a verification site in Cambridgeshire. Land-use intervention trials measuring carbon fluxes and SOC change were combined with computer modelling and questionnaires, to assess the impacts of land-use and management change on SOC. A land carbon stock of 845 Kt (60 Kt within biomass, and 785 Kt within soils) was estimated for Wallington, with the greatest control on SOC identified as grassland landmanagement. Other controls on SOC were: land-use, soil series, altitude, soil pH and landuse history, indicating that these should be used in all estimates of SOC distribution and stock. A possible link between phosphate fertilisation and SOC accumulation under grassland was identified; however this was not confirmed in a year long field trial. Incorporation of charcoal into soils was identified as a method of carbon sequestration, with a simultaneous reduction in nitrate loss from soil. Surface application to grasslands revealed no detrimental effects on soils, grassland productivity or water quality. Further trials investigated the impacts of arable conversion to short rotation coppice willow, and of peatland afforestation, both indentifying losses of SOC following the land-use change. Measurement of biomass carbon gains, full life cycle assessment of the each landuse, and the impacts of varying types of biochar are required before firm conclusions regarding land-use change and carbon sequestration can be made

Beyond peak reservoir storage? A global estimate of declining water storage capacity in large reservoirs

Water storage is an important way to cope with temporal variation in water supply and demand. The storage capacity and the lifetime of water storage reservoirs can be significantly reduced by the inflow of sediments. A global, spatially explicit assessment of reservoir storage loss in conjunction with vulnerability to storage loss has not been done. We estimated the loss in reservoir capacity for a global data set of large reservoirs from 1901 to 2010, using modeled sediment flux data. We use spatially explicit population data sets as a proxy for storage demand and calculate storage capacity for all river basins globally. Simulations suggest that the net reservoir capacity is declining as a result of sedimentation (5% compared to the installed capacity). Combined with increasing need for storage, these losses challenge the sustainable management of reservoir operation and water resources management in many regions. River basins that are most vulnerable include those with a strong seasonal flow pattern and high population growth rates such as the major river basins in India and China. Decreasing storage capacity globally suggests that the role of reservoir water storage in offsetting sea-level rise is likely weakening and may be changing sign

Collaborative Storage Management In Sensor Networks

In this paper, we consider a class of sensor networks where the data is not required in real-time by an observer; for example, a sensor network monitoring a scientific phenomenon for later play back and analysis. In such networks, the data must be stored in the network. Thus, in addition to battery power, storage is a primary resource: the useful lifetime of the network is constrained by its ability to store the generated data samples. We explore the use of collaborative storage technique to efficiently manage data in storage constrained sensor networks. The proposed collaborative storage technique takes advantage of spatial correlation among the data collected by nearby sensors to significantly reduce the size of the data near the data sources. We show that the proposed approach provides significant savings in the size of the stored data vs. local buffering, allowing the network to run for a longer time without running out of storage space and reducing the amount of data that will eventually be relayed to the observer. In addition, collaborative storage performs load balancing of the available storage space if data generation rates are not uniform across sensors (as would be the case in an event driven sensor network), or if the available storage varies across the network.Comment: 13 pages, 7 figure

Alaska Agricultural Experiment Station Circular, No. 7

“P O T A T O E S are an important food in Alaska. Matanuska V alley farmers can produce enough to meet the needs of the Anchorage area if the crop can be kept satisfactorily from one year to the next. The Alaska climate, however, makes better-than-average storage and management necessary to insure a continuous supply throughout the year.Custom storage -- Storage pit -- House-basement storage -- Earth-covered storage -- Sawdust-covered storage -- Frame storage with shell circulation -- Round-roofed storages -- Matanuska Experiment Station storag

Mass Storage Management and the Grid

The University of Edinburgh has a significant interest in mass storage systems as it is one of the core groups tasked with the roll out of storage software for the UK's particle physics grid, GridPP. We present the results of a development project to provide software interfaces between the SDSC Storage Resource Broker, the EU DataGrid and the Storage Resource Manager. This project was undertaken in association with the eDikt group at the National eScience Centre, the Universities of Bristol and Glasgow, Rutherford Appleton Laboratory and the San Diego Supercomputing Center.Comment: 4 pages, 3 figures, Presented at Computing for High Energy and Nuclear Physics 2004 (CHEP '04), Interlaken, Switzerland, September 200