A Game Theory Approach to Fair and Efficient Resource Allocation in Cloud Computing

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="915878.fig.005a" src="https://static.hindawi.com/articles/mpe/volume-2014/915878/figures/915878.fig.005a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>The dominant share for Hadoop scheduler</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="915878.fig.005b" src="https://static.hindawi.com/articles/mpe/volume-2014/915878/figures/915878.fig.005b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>The dominant share for FUGA</td></tr></table></td></tr></table>

<table>Dominant share for Hadoop scheduler and FUGA.</table>

Mathematical Problems in Engineering

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Figure 5

Figure 5: A Game Theory Approach to Fair and Efficient Resource Allocation in Cloud Computing 