高能效云资源预约的精确启发式图着色

Chaima Ghribi, D. Zeghlache
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引用次数: 12

摘要

针对异构IaaS云数据中心中能源消耗最小的提前资源预约问题,提出了一种新的图着色模型。我们从一个精确整数线性规划(ILP)公式开始,它推广了图着色问题,然后使用一个快速的能量高效图预着色(EEGP)启发式来解决可扩展性和减少收敛时间。将EEGP算法与我们的精确算法和Haizea提前预约算法进行性能评价和比较,结果表明EEGP算法对于节能提前预约问题是有效的。我们提出的EEGP启发式算法被证明执行非常接近最优,可以很好地随问题规模扩展,并实现接近简单快速AR算法的收敛时间,但不是最优的。
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Exact and Heuristic Graph-Coloring for Energy Efficient Advance Cloud Resource Reservation
This paper presents a new graph-coloring model for advance resource reservation with minimum energy consumption in heterogeneous IaaS cloud data centers. We start with an exact integer linear programming (ILP) formulation which generalizes the graph coloring problem and follow with a fast Energy Efficient Graph Pre-coloring (EEGP) heuristic to address the scalability and to reduce convergence times. The results of performance evaluation and comparisons of EEGP with our exact algorithm and the Haizea advance reservation (AR) algorithm demonstrate the efficiency of EEGP for the energy efficient advance resource reservation problem. Our proposed EEGP heuristic is shown to perform very close to optimal, to scale well with problem size and to achieve convergence times close to the simple and fast AR algorithm that is however suboptimal.
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