Stonebraker, M., Dozier, J., "Large Capacity Object Servers to Support Global Change Research," Sequoia Technical Report 91/1, 1991.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....the Earth, and to devise remedies to the negative impact of human activities on the global environment. This requires the availability of a large amount of data produced by researchers in a number of disciplines, such as meteorology, bioclimatology, oceanography, hydrology and geochemistry [10]. From the networking point of view, this project poses a number of challenging problems, like determining effective ways of visualizing satellite data. An example of these problems is to allow the fast forwarding in either the temporal or spatial dimension of a composite sequence of frames ....

M. Stonebraker and J. Dozier. Large Capacity Object Servers to Support Global Change Research. Technical Report 91/1, Sequoia Technical Report, 1991.

....factor for these projects successes. Some domains, such as for example the Global Change, will soon face the formidable data storage, acquisition and processing demands, all measured in appropriate Tera units which raises unprecedented challenges in all associated technology areas [RPSS91] [StDo91]. We see this domain as one of the promising directions for the MOVIE model, in particular in areas such as system integration, data visualization and prototyping the high performance distributed object oriented database management and information systems. Intelligent Databases A new challenging ....

Stonebraker, J. and Dozier, J., "Large capacity object servers to support Global Change", Report #91/1, SEQUOIA 2000.

....factor for these projects successes. Some domains, such as for example the Global Change, will soon face the formidable data storage, acquisition and processing demands, all measured in appropriate Tera units which raises unprecedented challenges in all associated technology areas [RPSS91] [StDo91]. We see the MOVIE model being able to provide benefits here, such as system integration, data visualization and prototyping the high performance distributed object oriented database management and information systems. Intelligent Databases: A new challenging software cate gory developed ....

Stonebraker, J. and Dozier, J., "Large capacity object servers to support Global Change", Report #91/1, SEQUOIA 2000.

....techniques. In this project, our aim is to design a database system that can use its knowledge of the layout of data on storage devices to increase the speed of running queries. 1 Introduction Applications manipulating large volumes of data are growing in number: earth observation systems [12] [13], historical data base systems, statistical data collections and image and video storage systems [10] are a few examples. For these applications, we need effective hardware and software solutions for storing, retrieving, and managing massive amounts of data. In spite of the falling price line of ....

Michael Stonebraker and Jeff Dozier. Large capacity object servers to support global change research. Technical Report 91/1, University of California at Berkeley, 1991.

....up of Dynamic RAM) Hardware and the machine s operating system combine to provide the abstraction of virtual memory; a process can access locations not contained in main memory. Such page faults are serviced by a magnetic disk drives. Some systems also include a final layer, tertiary storage [Stonebraker Dozier 1991] for long term archival purposes. This paper will focus on the growing disparity between CPU speeds and access times to disk. Over the past decade, CPU power has been nearly doubling every year. Advances in disk technology have been restricted to improvements in price and capacity; latency and ....

Stonebraker, M. and Dozier, J. Large Capacity Object Servers to Support Global Change Research. Technical Report 91/1, Sequoia 2000, July 1991.

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Stonebraker, M. and J. Dozier, Large capacity object servers to support global change research, Sequoia 2000 Report No. 91/1, University of California, Berkeley, 1991.

....structural dynamics and seismology. Because of the large storage requirements for such arrays, they are usually allocated to tertiary storage devices. Achieving high performance in spite of the nonuniform access times and the high latency of such storage devices requires good allocation strategies [Sto91]. This research was sponsored by the National Science Foundation under grant IRI 9107455, the Defense Advanced Research Projects Agency under grant T63 92 C 0007, and the Army Research Office under grant 91 G 0183. The usual method of storing a multidimensional array is linear allocation ....

....paper. The rest of this paper is organized as follows. In Section 2 we present the different schemes we used for organizing arrays, namely chunking, reordering, redundancy and partitioning. In Section 3 we describe our implementation of multidimensional arrays in the next generation DBMS postgres [Sto91]. Section 4 presents simulation of several earth science arrays used by global change researchers in the Sequoia 2000 project [Sto91] and shows the results of our array organization schemes on this data. Lastly, we present future work and conclusions in Section 5. 2 Storage of Arrays We begin ....

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Michael Stonebraker and Jeff Dozier. Large capacity object servers to support global change research. Technical Report 91/1, University of California at Berkeley, 1991.

....dynamics and seismology. Because of the large storage requirements for such arrays, they are usually allocated to tertiary storage devices. Achieving high performance in spite of the non uniform access times and the high latency of such storage devices requires good allocation strategies [STO91a]. The traditional method of storing a multidimensional array is linear allocation whereby the array is laid out linearly by a nested traversal of the axes in some predetermined order. This strategy, which mimics the way Fortran stores arrays in main memory, can lead to disastrous results on a ....

Michael Stonebraker and Jeff Dozier. Large Capacity Object Servers to Support Global Change Research. Technical Report 91/1, University of California at Berkeley, 1991.

....calls for an overhaul of conventional database systems to support the increasing storage demands of many applications. Applications like EOSDIS [DR91a, Sto91b] are estimated to collect around a petabyte of data per year. This amount of data cannot be stored cost effectively on magnetic disks [SD91, SSU95] In view of applications like EOSDIS and other applications like data warehouses [Ome92] image [RFJ 93, OS95] and video storage systems [FR94] there is increasing consensus among database researchers [SSU95, Sto91a, CHL93, Sel93, Moh93] for supporting tertiary memory devices ....

Michael Stonebraker and Jeff Dozier. Large capacity object servers to support global change research. Technical Report 91/1, University of California at Berkeley, 1991.

No context found.

Stonebraker, M., Dozier, J., "Large Capacity Object Servers to Support Global Change Research," Sequoia Technical Report 91/1, 1991.

No context found.

Stonebraker, M., and Dozier, J., "Large Capacity Object Servers to Support Global Change Research," Project Sequoia 2000.

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