Data Structures and Algorithms

1803 Submissions

[2] viXra:1803.0673 [pdf] submitted on 2018-03-26 09:19:32

A Novel Architecture for Cloud Task Scheduling Based on Improved Symbiotic Organisms Search

Authors: Song−Il Choe, Il−Nam Li, Chang−Su Paek, Jun−Hyok Choe, Su−Bom Yun
Comments: 18 Pages.

Abstract-Task scheduling is one of the most challenging aspects in cloud computing nowadays, which plays an important role to improve the overall performance and services of the cloud such as response time, cost, makespan, throughput etc. Recently, a cloud task scheduling algorithm based on the Symbiotic Organisms Search (SOS) not only have fewer specific parameters, but also take a little time complexity. Symbiotic Organism Search (SOS) is a newly developed metaheuristic optimization technique for solving numerical optimization problems. In this paper, the basic SOS algorithm is reduced and a chaotic local search(CLS) is integrated into the reduced SOS to improve the convergence rate of the basic SOS algorithm. Also, Simulated Annealing (SA) is combined in order to asist the SOS in avoiding being trapped into local minimum. The performance of the proposed SA-CLS-SOS algorithm is evaluated by extensive simulation using MATLAB simulation framework and compared with SOS, SA-SOS and CLS-SOS. Results of simulation showed that improved hybrid SOS performs better than SOS, SA-SOS and CLS-SOS in terms of convergence speed and makespan time.
Category: Data Structures and Algorithms

[1] viXra:1803.0173 [pdf] submitted on 2018-03-12 09:00:13

Algorithmic Information Theory

Authors: George Rajna
Comments: 67 Pages.

Researchers have discovered that input-output maps, which are widely used throughout science and engineering to model systems ranging from physics to finance, are strongly biased toward producing simple outputs. [38] A QEG team has provided unprecedented visibility into the spread of information in large quantum mechanical systems, via a novel measurement methodology and metric described in a new article in Physics Review Letters. [37] Researchers from Würzburg and London have succeeded in controlling the coupling of light and matter at room temperature. [36] Researchers have, for the first time, integrated two technologies widely used in applications such as optical communications, bio-imaging and Light Detection and Ranging (LIDAR) systems that scan the surroundings of self-driving cars and trucks. [35] The unique platform, which is referred as a 4-D microscope, combines the sensitivity and high time-resolution of phase imaging with the specificity and high spatial resolution of fluorescence microscopy. [34] The experiment relied on a soliton frequency comb generated in a chip-based optical microresonator made from silicon nitride. [33] This scientific achievement toward more precise control and monitoring of light is highly interesting for miniaturizing optical devices for sensing and signal processing. [32] It may seem like such optical behavior would require bending the rules of physics, but in fact, scientists at MIT, Harvard University, and elsewhere have now demonstrated that photons can indeed be made to interact-an accomplishment that could open a path toward using photons in quantum computing, if not in light sabers. [31] Optical highways for light are at the heart of modern communications. But when it comes to guiding individual blips of light called photons, reliable transit is far less common. [30] Theoretical physicists propose to use negative interference to control heat flow in quantum devices. [29] Particle physicists are studying ways to harness the power of the quantum realm to further their research. [28]
Category: Data Structures and Algorithms