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To ensure the scalability of big data analytics, approximate MapReduce platforms emerge to explicitly trade off accuracy for latency. A key step to determine optimal approximation levels is to capture the latency of big data jobs, which is long deemed challenging due to the complex dependency among data inputs and map/reduce tasks. In this paper, we use matrix analytic methods to derive stochastic...
Two factors are of great importance to the overall performance and efficiency of a fluid distributor: uniform distribution and dead zone volume inside the cavity. From the perspective of improving uniform distribution and reducing dead zones, this research optimized the design of a commonly-used fluid distributor with one side inlet, eight outlets, and a cylinder cavity through numerical simulation...
In order to improve upon a conventional straight microchannel heat sink, a range of curved, angular and wavy microchannels were designed in order to increase fluid mixing via the occurrence of secondary flow interactions, in particular Dean vortices, hence augmenting heat transport. Both numerical models conducted in FLUENT and laboratory experiments were employed to investigate the heat transfer...
In this work, we proposed the new design of two spiral networks interconnected with an expansion chamber to create vortex and disruption of the laminar boundary of intermingled streams which can efficiently boost mass transport in the microchannel. Confocal microscope is used to observe the mixing and fluid motion in the microchannel. We observed the evolution of Dean vortices along the spiral inlet...
Real-time processing of big data has become a core operation in various areas of business, such as extracting value from real-time social network data. Big data workloads in the wild show a strong temporal variability that not only poses the risk of slow responsiveness in data analysis, but also leads to a high risk of service outage. The recent development of batch streaming systems based on the...
Deep ultraviolet (DUV) avalanche photodiodes (APD) sensitive at wavelengths shorter than 260 nm have numerous applications, including chemical and biological identification and water quality monitoring. Wide bandgap materials such as silicon carbide (SiC) and the III-nitrides (AlInGaN) are well suited for UV detector applications. SiC devices have high avalanche gain, low dark current and low excess...
There is undoubtedly an increase in the number of Web-connected devices, such as home appliances, handheld devices, and smartphones. Though Web applications are intended for information sharing among users, conventional Web technology does not sufficiently support synchronized sharing of information among various devices. We propose a method for synchronized sharing information among various Web-connected...
The number of smartphone users and mobile applications are growing rapidly. Though smartphones are expected to have PC-like functionality, hardware resources such as CPUs, memory and batteries are still limited. To solve this resource problem, many researches have proposed architectures to use server resources in the cloud for mobile devices. We propose a conceptual architecture of Android as a Server...
Identifying molecular biomarkers has become an essential topic of study in biological data mining, bioinformatics, and translational medicine today. Although the exact definition for biomarkers is still up for debate, it is commonly used to refer to the presence, variation, or modifications of biomolecular entities such as genes, proteins, and metabolites that may be used to assess different phenotypic...
Fe70Co30 alloy clusters were prepared by a plasma-gas-condensation-type cluster deposition technique. By adjusting the deposition parameters, size-monodispersed Fe70Co30 alloy clusters were obtained and their average sizes can be changed from 8.6 to 14.3 nm. The structural and magnetic properties of these alloy nanoclusters were studied. The as-obtained Fe70Co30 clusters have a body-centered-cubic...
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