A Quantitative Analysis of Firewall Impact on Critical Data Communication
Bibliographic record
Abstract
Multimedia communication is considered to engulf the entire transmission taking place through internet. Most of the applications running on clients communicating through internet incorporate video or audio data transmission. Such transmission may however hinder the performance of other critical applications running on the network. For instance, the clients connecting to a database may suffer large delays if the network bandwidth is being utilized for multimedia communication. In this regards, a firewall may be used to block the non-critical and unnecessary communication.In this paper, we perform a quantitative analysis to record the impact of a firewall deployed in a network. We develop various network scenarios with voice and video data being transmitted in parallel with queries from a database client. As the database application is critical for its clients, the unnecessary communication causing the wastage of bandwidth is blocked through a firewall. We record the improvement in the performance of the database application due to the usage of firewall. We simulate all the scenarios using OPNET IT Guru v 9.1. Our results show that due to the blocking of video transmission, there is a significant improvement in performance of the database application. We also find that the use of a firewall has an overhead that depends mainly on the amount of communication taking place simultaneously and can also impact the performance of the critical application.
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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 | 0.002 | 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 | 0.001 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".