We introduce the adaptive cuckoo filter (ACF), a data structure for approximate set membership that extends cuckoo filters by reacting to false positives, removing them for future queries. As an example application, in packet processing queries may correspond to flow identifiers, so a search for an element is likely to be followed by repeated searches for that element. Removing false positives ...

Cuckoo is a new evolutionary algorithm which is inspired by lifestyle of bird family. This study proposes Cuckoo algorithm for prediction of the surface roughness of Abrasive Water Jet (AWJ). Several prediction models with different initial eggs were developed and analyzed to investigate the best predicted surface roughness value. The paired sample t-test was used to demonstrate the validity of...

─ Cuckoo Search (CS) is a new met heuristic algorithm. It is being used for solving optimization problem. It was developed in 2009 by XinShe Yang and Susah Deb. Uniqueness of this algorithm is the obligatory brood parasitism behavior of some cuckoo species along with the Levy Flight behavior of some birds and fruit flies. Cuckoo Hashing to Modified CS have also been discussed in this paper. CS ...

We present a Trusted Platform Module (TPM) application protocol that detects a certain man in the middle attack where an adversary captures and replaces a legitimate computing platform with an imposter that forwards platform authentication challenges to the captive over a high speed data link. This revised Cuckoo attack allows the imposter to satisfy a user’s query of platform integrity, tricki...

Constrained Nonlinear programming problems are hard problems, and one of the most widely used and common problems for production planning problem to optimize. In this study, one of the mathematical models of production planning is survey and the problem solved by cuckoo algorithm. Cuckoo Algorithm is efficient method to solve continues non linear problem. Moreover, mentioned models of productio...

Modifications that introduce parallelization of standard cuckoo search algorithm are proposed in this paper. Basic form of the cuckoo search algorithm has already shown great potential for optimization problems, especially when applied to unconstrained continuous functions. In this paper two aspects of parallelization are proposed. The first one addresses the performance issue, while the second...

In this paper, a comparative study is carried using three nature-inspired algorithms namely Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Cuckoo Search (CS) on clustering problem. Cuckoo search is used with levy flight. The heavy-tail property of levy flight is exploited here. These algorithms are used on three standard benchmark datasets and one real-time multi-spectral satelli...

Cuckoo Hashing is a technique for resolving collisions in hash tables that produces a dictionary with constant-time worst-case lookup and deletion operations as well as amortized constant-time insertion operations. First introduced by Pagh in 2001 [3] as an extension of a previous static dictionary data structure, Cuckoo Hashing was the first such hash table with practically small constant fact...

Cuckoo hashing is a hash table data structure introduced in [1], that offers constant worst case search time. As a major contribution of this paper, we analyse modified versions of this algorithm with improved performance. Further, we provide an asymptotic analysis of the search costs of all this variants of cuckoo hashing and compare this results with the well known properties of double hashin...

Combinatorial Testing (CT) is a sampling technique to generate test cases with a focus on the behavior of interaction system's components with their collaborators. Given its effectiveness to reveal faults, pairwise testing has often been chosen to perform the required sampling of test cases. The main concern for pairwise testing is to obtain the most optimal test sets (i.e. pairwise dictates th...