Layered clustering allows unmodified distributed file systems to enjoy many of the benefits of cluster-based file services. By interposing between clients and servers, layered clustering requires no changes to clients, servers, or the client-server protocol. Cuckoo demonstrates one particular use of layered clustering: spreading load among a set of otherwise independent NFS servers. Specificall...

Layered clustering allows unmodified distributed file systems to enjoy many of the benefits of cluster-based file services. By interposing between clients and servers, layered clustering requires no changes to clients, servers, or the client-server protocol. Cuckoo demonstrates one particular use of layered clustering: spreading load among a set of otherwise independent NFS servers. Specificall...

This paper presents a new inspired algorithm called Quantum Inspired Cuckoo Search Algorithm (QICSA). This one is new framework relying on Quantum Computing principles and Cuckoo Search algorithm. The contribution consists in defining an appropriate representation scheme in the cuckoo search algorithm that allows applying successfully on combinatorial optimization problems some quantum computin...

The cuckoo filter data structure of Fan, Andersen, Kaminsky, and Mitzenmacher (CoNEXT 2014) performs the same approximate set operations as a Bloom filter in less memory, with better locality of reference, and adds the ability to delete elements as well as to insert them. However, until now it has lacked theoretical guarantees on its performance. We describe a simplified version of the cuckoo f...

this paper presents a cuckoo optimization algorithm (coa) model for the cost optimization of the one-way and two-way reinforced concrete (rc) slabs according to aci code. the objective function is the total cost of the slabs including the cost of the concrete and that of the reinforcing steel. in this paper, one-way and two-way slabs with various end conditions are formulated as aci code. the t...

This paper presents an object-oriented software system that implements a cuckoo search (CS) metaheuristic for unconstrained optimization problems. Yang and Deb developed cuckoo search algorithm in MATLAB and tested it on some standard benchmark functions as well as on some engineering optimization problems where it showed promising results. We developed our algorithm in JAVA programming languag...

Nature-inspired metaheuristic algorithms have attracted much attention in the last decade, and new algorithms have emerged almost every year with a vast, ever-expanding literature. In this chapter, we briefly review two latest metaheuristics: bat algorithm and cuckoo search for global optimization. Bat algorithm was proposed by Xin-She Yang in 2010, inspired by the echolocation of microbats, wh...

Recently, Brooker and Brooker suggested an equilibrium in the level of host defense and parasite counter-defense despite the passage of sufficient time for the evolution of host defenses through coevolution between brood parasites and their hosts. A long coevolutionary history of brood parasitism and nest predation has favored an adjustment of the host’s life-history pattern to the point where ...

Phenological responses to climate change vary among taxa and across trophic levels. This can lead to a mismatch between the life cycles of ecologically interrelated populations (e.g. predators and prey), with negative consequences for population dynamics of some of the interacting species. Here we provide, to our knowledge, the first evidence that climate change might disrupt the association be...

Individuals often vary defences in response to local predation or parasitism risk. But how should they assess threat levels when it pays their enemies to hide? For common cuckoo hosts, assessing parasitism risk is challenging: cuckoo eggs are mimetic and adult cuckoos are secretive and resemble hawks. Here, we show that egg rejection by reed warblers depends on combining personal and social inf...