Abstract: This paper presented a design of a decentralized robust proportional-integral-derivative controller based on Linear Matrix Inequality (LMI) approach for two-area interconnected power system with multi-unit comprising of non-reheat and reheat steam turbine in each control area along with coordinated operation of Thyristor Controlled Phase Shifter (TCPS) and Superconducting Magnetic Energy Storage (SMES) for load frequency control (LFC). In this work PID control problem is reduced to a static output feedback control synthesis through H∞ control approach, and then design two controllers one is H∞ controller and second is iterative proportional-integral-derivative (IPIDH∞) controller based on LMI approach. The simulation results show that the IPIDH∞ is superior to robust H∞ controller. The robustness of both controllers is also tested with different load scenarios and also with parameters variations.

• Publication Date: 07-Apr-2013
• DOI: 10.15224/978-981-07-5939-1-20
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Abstract: The interest in analyzing the growing amounts of data has encouraged the deployment of large scale parallel computing frameworks such as Hadoop. In other words, data analytic is the main reason behind the success of distributed systems; this is due to the fact that data might not fit on a single disk, and that processing can be very time consuming so analyzing the input in parallel is very useful. Hadoop relies on the MapReduce programming paradigm to distribute work among the machines; so a good balance of load will eventually influence the execution time of those kinds of applications.This paper introduces a technique to predict some configuration parameters from the application\'s CPU utilization in order to optimize Hadoop.

• Publication Date: 07-Apr-2013
• DOI: 10.15224/978-981-07-5939-1-21
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