7 research outputs found

    Performance comparison of priority rule scheduling algorithms using different inter arrival time jobs in grid environment

    Get PDF
    Recent advancement in meta-heuristics grid scheduling studies have applied various techniques such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and Ant Colony Optimization (ACO) to solve the grid scheduling problem. All of these technique requires an initial scheduler in order to initiate the scheduling process and the priority rule algorithms will typically be used. However, from the literature, none of these studies elaborate and justify their selection of a particular priority rule algorithms over another. Since the initial scheduler can significantly affect the entire scheduling process, it is important that the correct initial scheduler be selected. In this paper we quantitatively compared six initial scheduler algorithms to determine the best algorithm performance. We believe the performance comparison would enable users to utilize the best initial scheduler to fit their meta-heuristics grid scheduling studies

    Purification and characterization of extracellular polymeric substances (EPS) with antimicrobial properties from s marine epibiotic pseudoalteromonas sp.

    No full text
    We present a study to purify and characterize the extracellular polymeric substances (EPS) produced by Pseudoalteromonas sp.isolated from fish epidermal surface. The purified EPS was recovered from the culture supernatant by using cold ethanol precipitation and dialysis method. Colorimetric analysis of EPS revealed that it was primarily composed of proteins, 0.0251g/L, carbohydrates, 0.0561g/L and uronic acid, 0.0217 g/L. The EPS also exhibited high emulsification activity when being tested with hydrophobic substances such as paraffin oil, (94.5 % and 79.4%), kerosene, (56.1% and 37.2%) and Tween 80 (46.6% and 32.9%). In addition, the EPS demonstrated discernible antimicrobial activity against Gram–negative bacteria like E.coli, P.aeruginosa and E.aerogenes. The SDS–PAGE profile revealed up to eight types of unknown proteins were detected within the EPS, with the molecular weight ranging from 15.486 kDa to 113.058 kDa. The results of the study would contribute to the elucidation of antimicrobial components and its mechanism in Pseudoalteromonas sp
    corecore