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The ever-growing demand of cloud resources places the resource management at the heart of the design and decision-making processes in the cloud computing environment. A new allocation model: Balancing Fairness and Efficiency with Bottleneck-Aware Allocation(BAA) has found sound appropriate balance between fairness to the clients and utilization maximization of the system. We study the problems of BAA and improve BAA to design a new mechanism which is Bottleneck-Aware Allocation with time constraint. BAA with time constraint allows that users can join the system at any time and satisfies the sharing incentive(SI), envy freness(EF), pareto efficiency(PE) and Strategy-proofness (SP). An approximation algorithm is hereby presented that can efficiently compute a near-optimal profit schedule which time complexity is o(n). It can achieve good resource utilization based on the greedy. We believe that our work informs the design of superior multiusers system while expanding the scope of fair division theory by initiating the dynamic study and the fair resource allocation mechanism.

Bottleneck-aware Allocation of Multiple Resources with Time Constraint