Canadian School District Expands, Simplifies Data Center with KVM Technology: With 24,000 Students and 55 Different Sites, Richmond School District No. 38 Needed the Flexibility to Manage Its Servers Remotely from Any Location at Any Time-And ATEN's Line of Enterprise KVM Solutions Met the Challenge
Bibliographic record
Abstract
Most people would not view Richmond, British Columbia, as a technology haven. However, with software behemoth Microsoft (www.microsoft.com) located only two hours away in Redmond, WA, some of that technology pixie dust has been sprinkled on a progressive Canadian school district that is utilizing KVM (keyboard, video, mouse) switch solutions to power its data center. Richmond School District No. 38 prides itself on providing a safe and caring environment for its 24,000 students, who come from various backgrounds and have different ability levels. The district offers a variety of programs--everything from academic and fine arts, to technical and athletics--to give this diverse group of students a well-rounded education, while relying on the latest technology to support student learning. Demonstrating its commitment to technology, the district's Technology and Information Services Department even does its own in-house development, creating custom applications that generate revenue for the district. This department recently completed the centralization of its technology, allowing it to administer 80 percent of the district's devices from its cutting-edge Technology Services Center. The Richmond School District is composed of 55 different sites, all connected via a wide area network (WAN) powered by the British Columbia Provincial Learning Network (PLNet), a secure, high-speed network that connects all of British Columbia's public schools and colleges in a centrally managed intranet. Our department provides IT support and services for K-12 schools, the continuing education program, and administration systems, including accounting, student records, etc. The Technology Services Center manages a majority of the district's servers, while the board office houses the required IT infrastructure that supports several administration systems. The center currently accommodates 18 Intel-based (www.intel.com) servers running Windows 2000 Server, one Apple (www.apple.com) XServe G5 running Mac OS X, and an Apple Xserve RAID for hosting data storage. These servers are split between two racks that are protected by UPS (uninterruptible power supply) systems. A second site hosts administration systems that consist of one rack with five servers running Windows 2000 Server, one XServe G5 running Mac OS X, and a UPS battery backup system. We have been primarily focused on implementing this technology in a centrally managed environment, and as more rack-mounted servers were added to the Technology Services Center, we determined the need for a KVM management solution. Without a KVM solution, we were restricted to remote access only through Microsoft's Terminal Services. That option did not help us diagnose a server that was not loading the operating system. If there was a configuration problem preventing the server from loading Windows, we would have been forced to manually pull it out of the rack to fix the problem. We knew that implementing a KVM solution would allow us to diagnose the server from a central console at the rack. The real driving force behind our decision to select a KVM vendor rested upon our need for remote access to manage servers from any location, even during off hours. Given this need, we opted for a KVM over IP solution. …
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".