Real-time systems in addition to preserving consistency of results must meet set/predicted deadlines. This is called hard real-time system, where missing a deadline will result in a catastrophic occurrence. The sensitivity and robust nature of real-time databases for instance; or several other possible dependencies together with a hard real-time constraint makes it an important topic to research into all its constituents. There has been less attention placed on scheduling real-time transactions focusing on major influencing factors towards increasing the probability of always having desired deadlines and results met, even though the necessity in the growing technology age cannot be over emphasized. The proposed research goal is to highlight key determinant factors of real-time systems and discuss how these factors work together towards achieving an optimized real-time system. This Optimal Approach takes into consideration several techniques and how it can influence achieving maximal meeting of deadlines in any real-time system. The research will discuss this from four major perspectives. These four perspectives that will be highlighted have key factors that ensure an optimal real-time system, most especially in real-time database systems. Finally, this research will further discuss a Scheduling Algorithm; Enhanced Earliest Deadline First (EEDF) technique. Approaching real-time systems from this general perspective and utilizing EEDF not only gives a better outcome than EDF in compliance guarantee of hard real-time systems but also allows focus on major components and maximizes possible outcomes from each factor.
January 21, 2016
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