• Aucun résultat trouvé

SONDe, Self-Organizing Replica Placement in Large-Scale Dynamic Systems

N/A
N/A
Protected

Academic year: 2021

Partager "SONDe, Self-Organizing Replica Placement in Large-Scale Dynamic Systems"

Copied!
28
0
0

Texte intégral

Loading

Figure

Figure 1: Basic SONDe state changes
Figure 2: Convergence toward a stable state, 20% of peers simultaneously checking N i h to create/remove a replica, 10,000 2-D peer unstructured overlay
Figure 3: CDF of the distance between the peers and their replica, h=4, 10,000 2-D peer unstructured overlay
Figure 5: Replica creations in reaction to load varaiations, under different replica capacities, h=4, in a 10,000 node, 2-D unstructured overlay
+4

Références

Documents relatifs

Nous ´ etudions l’existence et le d´ efaut d’unicit´ e de fibrations holomorphes en disques transverse ` a une courbe rationnelle dans une surface

Simulation protocol to study the impact of floating-point precision in sequential large-scale multilateration where Pj is a nominal TI position j, Dzj is the dead-zone of Pj, Mi

To see that a qualitative argument can be used: we know that the completely ordered case minimize the energy and we are interested in the states that have the closer possible

We propose an approach that dynamically adjusts the ratio between the number of concurrently running MapReduce jobs and their corresponding map an reduce tasks within a cluster

The remediation vol- stage, blocks of soil are selected for cleanup using pollut- umes are calculated using the resulting set of block conditional ant concentrations measured

As a first step in this bold goal, this current paper aims to benchmark three CFD codes from various origins and distinct numerical schemes: Concha [1], elsA [2], ANSYS-FLUENT

In order to simplify the process of converting numbers from the modular representation to the positional representation of numbers, we will consider an approximate method that allows

This is followed by the NEST (preferred NESTip version) for models with increasing number of di- mensions, where the rank of the data eigenvalues among the corresponding eigenvalues