Results obtained indicate that PCIU outperforms these algorithms in terms of speed, memory usage, incremental update capability, and preprocessing time.The algorithm, furthermore, was improved and made more accessible for a variety of applications through implementation in hardware.An action is associated with each rule in the rule set.

journal of software incremental updating algorithm-13journal of software incremental updating algorithm-81

We show that GSP and MFS effectively reduce the CPU costs of their counterparts with only a small or even negative additional expense on I/O cost.

(2012) An Incremental Update Algorithm for Sequential Patterns Mining. It is undesirable to mine the sequential patterns from scratch each time when a small set of sequences change.

Packet classification plays a crucial role for a number of network services such as policy-based routing, firewalls, and traffic billing, to name a few.

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Two such implementations are detailed and discussed in this paper.

The results indicate that a hardware/software codesign approach results in a slower, but easier to optimize and improve within time constraints, PCIU solution.However, classification can be a bottleneck in the above-mentioned applications if not implemented properly and efficiently.In this paper, we propose PCIU, a novel classification algorithm, which improves upon previously published work.Below are the most common reasons: This site uses cookies to improve performance by remembering that you are logged in when you go from page to page.To provide access without cookies would require the site to create a new session for every page you visit, which slows the system down to an unacceptable level.PCIU provides lower preprocessing time, lower memory consumption, ease of incremental rule update, and reasonable classification time compared to state-of-the-art algorithms.