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We present <i>unikernels</i>, a new approach to deploying cloud services via applications written in high-level source code. Unikernels are single-purpose appliances that are compile-time specialised into standalone kernels, and sealed against modification when deployed to a cloud platform. In return they offer significant reduction in image sizes, improved(More)
Network latency is a problem for all cloud services. It can be mitigated by moving computation out of remote datacenters by rapidly instantiating local services near the user. This requires an embedded cloud platform on which to deploy multiple applications securely and quickly. We present Jitsu, a new Xen tool-stack that satisfies the demands of secure(More)
— This paper presents the methodology for the design of Low pass FIR digital filter using hybrid Differential Evolution (DE) method. It is an evolutionary algorithm that exhibits the features of both the basic DE and Hooke-Jeeves exploratory move to attain the optimal solution. The basic DE and exploratory move have the capability to exploit and explore the(More)
—OS virtualization and cloud computing have radically changed the way Internet services are deployed: enterprises share third-party datacenters, deploying existing applications with minimal changes. Recent measurements reveal a lack of traffic isolation capabilities within the datacenter with network performance exhibiting high variability. We advocate(More)
— The paper establishes methodology for the stable and robust design of high order infinite impulse response (IIR) digital filters using nature inspired technique known as Particle Swarm Optimization (PSO). PSO has been applied to design the stable digital IIR filter in order to avoid local minima, and to enhance the search capability and provides a fast(More)
This research work proposes an improved algorithm to extract maternal heart rate from an ECG measured of the mother's abdomen. Recently various research efforts have been devoted to this field. The most recent ones include filtering and threshold methods, wavelet methods, neural networks and others. Each of these methods has different effectiveness and(More)
This research work proposes an improved algorithm to extract maternal and fetal heart rate from an ECG measured of the mother " s abdomen. Recently various research efforts have been devoted to this field. The most recent ones include filtering and threshold methods, wavelet methods, neural networks and others. Each of these methods has different(More)
This research work proposes an algorithm to extract fetal heart rate from an ECG measured of the mother's abdomen. The abdominal ECG is a composite signal because it contains both the mother's and the fetus' ECG signals, but the chest ECG is supposed to have only maternal (MECG) component. Since past, lots of research work have been perform in this field.(More)
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