R. Winter and K. Auerbach. Giants walk the earth: the 1997. Home/Search Document Not in Database Summary Related Articles Check |
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Design and Evaluation of Smart Disk Architecture for.. - Memik, Kandemir.. (2000) (3 citations) (Correct)
....speed, available memory size, number of disks and database size. Based on our performance numbers, we also discuss the cases where the smart disk based system is preferable to cluster based system and vice versa. DSS databases process up to 4:5 TBytes of data, consisting of up to 50 billion rows [45, 46]. These challenges require innovative approaches in architecture, software and algorithm areas because the traditional approaches, which depend on the technological advances for improving their throughput, may not be sufficient for solving these problems. Considering the results we have obtained ....
R. Winter and K. Auerbach. Giants walk the earth: the 1997.
Design and Evaluation of Smart Disk Architecture for.. - Memik, Kandemir.. (2000) (3 citations) (Correct)
....terabytes of simulation datasets for a run, requiring 3 petabytes of archive capacity [37] In addition to the large storage requirements, such applications also require significant amount of computational power. DSS databases process up to 4:5 TBytes of data, consisting of up to 50 billion rows [45, 46]. These challenges require innovative approaches in architecture, software and algorithm areas because the traditional approaches, which depend on the technological advances for improving their throughput, may not be sufficient for solving these problems. Considering the results we have obtained ....
R. Winter and K. Auerbach. Giants walk the earth: the 1997.
An Experimental Evaluation of Smart Disk Architectures.. - Memik, Kandemir.. (1999) (Correct)
....day and required GFLOPS range of processing [16] In addition to demanding significant processing power, these applications require fast I O and significant memory and I O bandwidth. For example contemporary DSS databases process up to 4. 5 TBytes of data, consisting of up to 50 billions of rows [33, 34]. These challenges require innovative approaches in architecture, software, and algorithm areas. Traditional approaches, which rely on technology dependent increase in bandwidth, capacity and processing power may not be sufficient to solve these problems. Considering our performance results ....
R. Winter and K. Auerbach. Giants walk the earth: the
The View Holder Approach: Utilizing Customized Materialized Views .. - Lauzac (2001) (Correct)
....agent will store this new version and compute the Delta view. Later, the cache agent can asynchronously obtain updates by issuing a cache message and receiving the Delta view from the view holder agent. The current size of many data warehouses and other decision support databases (up to 4. 6 TB [WA97, WA98] precludes the simple solution of duplicating the available data on the mobile machine. Dynamically maintaining versions of requested data avoids these huge storage requirements. Many versions can be dynamically maintained without incurring huge storage requirements because a view holder ....
R. Winter and K. Auerbach. Giants walk the Earth: the
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