Abstract:The challenging issue of defining and implementing an effective law for load balancing in Content Delivery Networks (CDNs). The proposal on a forma study of a CDN system, carried out through the exploitation of a fluid flow model characterization of the network of servers. Starting from such characterization, it derives and proves a lemma about the network queues equilibrium. The result is then leverage in order to devise a novel distributed and timecontinuous algorithm for load balancing, which is also reformulated in a time-discrete version. The discrete formulation of the proposed balancing law is eventually discussed in terms of its actual implementation in a real-world scenario. Finally, the overall approach is validated by means of simulations.
<p>In the field of Digital signal processing (DSP), the reduction of some logical elements counts is one of the main considerations. To minimize the area, computational delay, and power, the digital form FIR filter is to be implemented. The optimization of the ATP (Area, Time and Power) is achieved by using the efficient multiplication and accumulation unit (MAC). In this work, the direct form FIR filter with the efficient MAC unit is presented. At the initial stage, the half adders and full adders are to be modified by the reduction of the logical gates. The modified half and full adder are implemented in the Wallace tree multiplier for performing the efficient multiplication process. Carry save adder is divided into the two stages to reduce the computational delay of arithmetical operators. The proposed MAC design is implemented in the direct form FIR filter by using the HDL language.</p>
Abstract:The increasing size of Biomedical Big data in Telemedicine Network server (TMNS) creates problem of over load and creates Transfer delay and CPU speed is decreased. This paper explains internet based Telemedicine workstation Setup Hybrid computing (Telemedicine computing, Cloud computing, Grid computing, Cluster computing) can be maintained complex Big Data storage of patient details like X-rays, Biomedical signals (ECG. EMG, Pulse, respiration)Blood pressure, Temperatures, Scanning reports to store in large capacity server in Hospital. Cloud computing Technology can be stored increasing large number of medical data and reduce 70% cost of server in Hospitals. Grid computing Technology can tally the over load balancing of Big data storage in CPU and increasing the CPU speed at Telemedicine work station. [1][2][3][4][5][6][7].
<p>The Wireless Sensor Network is one of the most significant purposes behind the accomplishment of long range wireless communication. Frequent connectivity failures are occurred in the sensor-organised network due to obstruction, snags, message drop because of node energy depletion; obstacle and so forth. The total communication gets collapsed if there any lessening in the nature of correspondence or quality between the sensor nodes or from the sensor nodes to the sink nodes and this prompts to connection failures. To overcome the frequent connectivity failures we propose Diminishing Connectivity Failures by Auto-Reconfiguration in WSN (DCFA). This scheme provides steadfast routes to reduce the connectivity failure and improve the network performance. </p>
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