该文在无线云条件下提出一种能量受限的联合动态调度和动态定价算法。构造了包括能量限制和流量限制的李雅普诺夫函数,把多个约束条件下的长期利润优化问题转化为最小化李雅普诺夫偏移和罚函数加权,保证了电力公司对云服务运营商的有限能量要求以及云用户对业务流量的要求,并且使云服务运营商的长期利润得到优化。
A novel energy-constrained joint dynamic scheduling and pricing algorithm in wireless cloud computing system is proposed. A Lyapunov function of energy constraints and traffic restrictions is constructed. The long-term profit optimization problem with multiple constraints is turned into minimizing the upper bound of Lyapunov offset and weighted penalty function. The algorithm ensures the limited energy requirements of cloud service providers as well as the traffic demands of cloud users, furthermore, it optimizes the long-term profit of cloud service providers.