Crustacean vitellogenesis is a process that involves Vitellin, produced via endoproteolysis of its precursor, which is designated as Vitellogenin (Vtg). The Vtg gene, mRNA and protein regulation involve several environmental factors and physiological processes, including gonadal maturation and moult stages, among others. Once the Vtg gene, mRNAs and protein are obtained, it is possible to establish the relationship between the elements that participate in their regulation, which could either be species-specific, or tissue-specific. This work is a systematic analysis that compares the similarities and differences of Vtg genes, mRNA and Vtg between the crustacean species reported in databases with respect to that obtained from the transcriptome of Callinectes arcuatus, C. toxotes, Penaeus stylirostris and P. vannamei obtained with MiSeq sequencing technology from Illumina. Those analyses confirm that the Vtg obtained from selected species will serve to understand the process of vitellogenesis in crustaceans that is important for fisheries and aquaculture.
RESUMENLa vitelogénesis de los crustáceos es un proceso que involucra la vitelina, producida a través de la endoproteólisis de su precursor llamado Vitelogenina (Vtg). La regulación del gen Vtg, los ARNm y la Vtg involucra factores ambientales y procesos fisiológicos, incluyendo: maduración gonadal, etapas de muda, entre otros. Con el gen Vtg, los ARNm y la proteína obtenidos, es posible correlacionar los elementos que participan en su regulación, pudiendo ser especie-específicos o tejido-específicos. Este trabajo es un análisis sistemático que compara las similitudes y diferencias
Containers have emerged as a more portable and efficient solution than virtual machines for cloud infrastructure providing both a flexible way to build and deploy applications. The quality of service, security, performance, energy consumption, among others, are essential aspects of their deployment, management, and orchestration. Inappropriate resource allocation can lead to resource contention, entailing reduced performance, poor energy efficiency, and other potentially damaging effects. In this paper, we present a set of online job allocation strategies to optimize quality of service, energy savings, and completion time, considering contention for shared on-chip resources. We consider the job allocation as the multilevel dynamic bin-packing problem that provides a lightweight runtime solution that minimizes contention and energy consumption while maximizing utilization. The proposed strategies are based on two and three levels of scheduling policies with container selection, capacity distribution, and contention-aware allocation. The energy model considers joint execution of applications of different types on shared resources generalized by the job concentration paradigm. We provide an experimental analysis of eighty-six scheduling heuristics with scientific workloads of memory and CPU-intensive jobs. The proposed techniques outperform classical solutions in terms of quality of service, energy savings, and completion time by 21.73–43.44%, 44.06–92.11%, and 16.38–24.17%, respectively, leading to a cost-efficient resource allocation for cloud infrastructures.
SUMMARYA parallel computing approach to run fast and full-wave electromagnetic simulation of complex structures in Grid Computing environment is presented. In this study, we show how Grid Computing improves speed and/or reliability over that provided by a single computer, while typically being much more cost-effective than single computers of comparable speed or reliability. An efficient monolithic (unique) formulation for the electromagnetic modelling of complex (multi-scale) structures, i.e. structures that exhibit multiple metallic patterns whose sizes cover a large range of scales, is used here. This approach, named the Scale-Changing Technique, is based on the cascade of multi-modal Scale-Changing Networks, each network modelling the electromagnetic coupling between two successive scale levels. These networks can be first computed separately, in an adaptive use of Grid Computing architecture nature, and then cascaded for the global electromagnetic simulation. Based on this technique, a fast computer algorithm was developed and tested in the Grid-Computing environment. For illustration purposes, the electromagnetic analysis of multi-scale structures, applied to phase-shifter elements and an example of infinite passive reflectarray, was carried out. The obtained results have confirmed the effectiveness of such an approach compared with sequential computing. This approach shows very good computation performance while keeping the same accuracy. Besides, this method is very promising for optimizing circuit with multiple design parameters to handle and for the global electromagnetic simulation of multi-scale and/ or oer-sized structures.
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