Profit-aware distributed online scheduling for data-oriented tasks in cloud datacenters

As there is an increasing trend to deploy geographically distributed (geo-distributed) cloud datacenters (DCs), the scheduling of data-oriented tasks in such cloud DC systems becomes an appealing research topic. Specifically, it is challenging to achieve the distributed online scheduling that can handle the tasks\u27 acceptance, data-transfers, and processing jointly and efficiently. In this paper, by considering the store-and-forward and anycast schemes, we formulate an optimization problem to maximize the time-average profit from serving data-oriented tasks in a cloud DC system and then leverage the Lyapunov optimization techniques to propose an efficient scheduling algorithm, i.e., GlobalAny. We also extend the proposed algorithm by designing a data-transfer acceleration scheme to reduce the data-transfer latency. Extensive simulations verify that our algorithms can maximize the time-average profit in a distributed online manner. The results also indicate that GlobalAny and GlobalAnyExt (i.e., GlobalAny with data-transfer acceleration) outperform several existing algorithms in terms of both time-average profit and computation time

The thermal storage performance of mixtures consisting of liquid paraffin and fatty acids

The thermal storage performance of binary mixtures consisting of fatty acids and liquid paraffin (LP) was studied experimentally. The study is to look for the material with suitable phase transition temperature and high phase change latent heat. The phase transition temperatures of binary mixtures consisting of capric acid and other four kinds of fatty acid are between 20°C and 30°C, and the phase change latent heat is high. They are ideal phase change materials used in the wall. The binary mixtures consisting of stearic acid, palmitic acid, lauric acid (LA) and myristic acid have high phase transition temperatures, and they are not suitable to use in the wall. The phase transition temperatures of mixtures consisting of LP and LA are between 20°C and 30°C, and the phase change latent heat is high. They can be used in the wall. The thermal stability of fatty binary mixtures is good

Optical image encryption using gamma distribution phase masks in the gyrator domain

Background: Optical information encryption technology has received extensive attention from researchers in recent years because of its advantages of parallel and high-speed processing capability, as well as the controllability of phase components. Methods: An encryption method for grayscale images with a pair of random phase masks based on gamma distribution in the gyrator domain is proposed. In this scheme, two random distribution phase-images using random parameters according to the definition of the gamma probability distribution function are generated. They are loaded onto spatial light modulators as random phase masks used in the encryption process. The input grayscale image transmitted through the first random phase mask. And then they are encoded by the first gyrator transform. The resulting information is again encrypted by a second gamma distribution random phase mask at the gyrator frequency plane. The final results are encoded by the second gyrator transform. Results: Numerical simulations are presented to confirm the security, validity, and flexibility of the proposed idea. The gyrator transform rotation angle sensitivity test is also simulated. The occlusion and noise attacks analysis establish the scheme’s robustness. Conclusions: In gyrator transform-based optical image encryption cipher system, encrypting the input image with different parameters of gamma distribution RPMs will significantly change the statistical distribution of phase in the ciphertext. It means that the phase distribution in the ciphertext will not obey the law of random scattering medium. Therefore, it has potential to resist the attack based on the phase retrieval algorithm. Therefore, the security and flexibility of encryption can be improved by using gamma distribution RPMs

Optical image encryption using gamma distribution phase masks in the gyrator domain

Abstract Background Optical information encryption technology has received extensive attention from researchers in recent years because of its advantages of parallel and high-speed processing capability, as well as the controllability of phase components. Methods An encryption method for grayscale images with a pair of random phase masks based on gamma distribution in the gyrator domain is proposed. In this scheme, two random distribution phase-images using random parameters according to the definition of the gamma probability distribution function are generated. They are loaded onto spatial light modulators as random phase masks used in the encryption process. The input grayscale image transmitted through the first random phase mask. And then they are encoded by the first gyrator transform. The resulting information is again encrypted by a second gamma distribution random phase mask at the gyrator frequency plane. The final results are encoded by the second gyrator transform. Results Numerical simulations are presented to confirm the security, validity, and flexibility of the proposed idea. The gyrator transform rotation angle sensitivity test is also simulated. The occlusion and noise attacks analysis establish the scheme’s robustness. Conclusions In gyrator transform-based optical image encryption cipher system, encrypting the input image with different parameters of gamma distribution RPMs will significantly change the statistical distribution of phase in the ciphertext. It means that the phase distribution in the ciphertext will not obey the law of random scattering medium. Therefore, it has potential to resist the attack based on the phase retrieval algorithm. Therefore, the security and flexibility of encryption can be improved by using gamma distribution RPMs

Advanced method of global phase shift estimation from two linear carrier interferograms

Abstract Background Phase-shifting interferometry is a kind of important technique used in optical interference metrology. This technique has high precision and good stability, which has been widely used in scientific research and industrial production. Methods This paper proposes a new method to estimate global phase shift from two interferograms. This method performs algebraic calculation of two interferograms with the assistance of Hilbert transform. An iterative approach is used for the attempted phase to ensure that the minimum of assessment function is obtained. Results The simulated result indicate that the maximum calculation error of the global phase-shifting is 1.5%. And then we use experimental data to verify the performance of this method. Conclusions The method proposed in this article is simple but precise, and can cope with interferograms with uneven background and modulation, non-periodic apodization, and random noises. It does not require any specific carrier frequency of the measured interferogram or any adjustment of range of integration in accordance with the carrier frequency

Advanced method of global phase shift estimation from two linear carrier interferograms

Background: Phase-shifting interferometry is a kind of important technique used in optical interference metrology. This technique has high precision and good stability, which has been widely used in scientific research and industrial production. Methods: This paper proposes a new method to estimate global phase shift from two interferograms. This method performs algebraic calculation of two interferograms with the assistance of Hilbert transform. An iterative approach is used for the attempted phase to ensure that the minimum of assessment function is obtained. Results: The simulated result indicate that the maximum calculation error of the global phase-shifting is 1.5%. And then we use experimental data to verify the performance of this method. Conclusions: The method proposed in this article is simple but precise, and can cope with interferograms with uneven background and modulation, non-periodic apodization, and random noises. It does not require any specific carrier frequency of the measured interferogram or any adjustment of range of integration in accordance with the carrier frequency

Supplementary material 3 from: Sun T, Zou W, Dong Q, Huang O, Tang D, Yu H (2022) Morphology, phylogeny, mitogenomics and metagenomics reveal a new entomopathogenic fungus Ophiocordyceps nujiangensis (Hypocreales, Ophiocordycipitaceae) from Southwestern China. MycoKeys 94: 91-108. https://doi.org/10.3897/mycokeys.94.89425

Rarefaction curves (Shannon-Wiener curve) of the fungal communities collected from the fruiting body from four different specimens of Ophiocordyceps nujiangensi

Morphology, phylogeny, mitogenomics and metagenomics reveal a new entomopathogenic fungus Ophiocordyceps nujiangensis (Hypocreales, Ophiocordycipitaceae) from Southwestern China

Ophiocordyceps contains the largest number of Cordyceps sensu lato, various species of which are of great medicinal value. In this study, a new entomopathogenic fungus, Ophiocordyceps nujiangensis, from Yunnan in southwestern China, was described using morphological, phylogenetic, and mitogenomic evidence, and its fungal community composition was identified. It was morphologically characterized by a solitary, woody, and dark brown stromata, smooth-walled and septate hyphae, solitary and gradually tapering conidiogenous cells with plenty of warty protrusions, and oval or fusiform conidia (6.4–11.2 × 3.7–6.4 µm) with mucinous sheath. The phylogenetic location of O. nujiangensis was determined based on the Bayesian inference (BI) and the maximum likelihood (ML) analyses by concatenating nrSSU, nrLSU, tef-1a, rpb1, and rpb2 datasets, and ten mitochondrial protein-coding genes (PCGs) datasets (atp6, atp9, cob, cox2, nad1, nad2, nad3, nad4, nad4L, and nad5). Phylogenetic analyses revealed that O. nujiangensis belonged to the Hirsutella sinensis subclade within the Hirsutella clade of Ophiocordyceps. And O. nujiangensis was phylogenetically clustered with O. karstii, O. liangshanensis, and O. sinensis. Simultaneously, five fungal phyla and 151 fungal genera were recognized in the analysis of the fungal community of O. nujiangensis. The fungal community composition differed from that of O. sinensis, and differences in the microbial community composition of closely related species might be appropriate as further evidence for taxonomy

Construction of PR39 recombinant AAV under control of the HRE promoter and the effect of recombinant AAV on gene therapy of ischemic heart disease

This paper is concerned with developing similar results for terms. The first main section considers how we may assign numerical invariants to orders on terms, and hence establish Pn as a classifying space for term orders over n non-constant function symbols. The second concerns a general framework for ordering terms by counting embedded patterns: we construct a large class of new term orders and show how our method subsumes earlier constructions. A final section looks at the recursive path order in the light of our results. We now explain our results in more detail. Invariants, patterns and weights for ordering terms 3 1.1. Linearisible order