With the rapid surge in cloud services, cloud load balancing has become a paramount research issue. The major part of a cloud computing systems operational costs is attributed to energy consumption. Therefore, to provide better QoS, considering the energy minimization factor in load balancing is important. This paper addresses the latency and energy-aware load balancing problem in a cloud computing system. In this paper, two fundamental performance criteriaresponse time and energyfor the load balancing problem are considered. To solve this problem, first, the load balancing problem is formulated as an optimization problem. Then it is modeled as a cooperative game so that the solution of the game, called the Nash bargaining solution (NBS), can simultaneously optimize both criteria. The existence and computation of NBS is analyzed theoretically, and an efficient algorithm, called Latency and Energy aWare load balancIng Scheme (LEWIS), is proposed to compute the NBS. Further, to assess the efficacy of LEWIS, it is compared with three other approaches, i.e., Coop RT, Coop EN, and NCG on problem instances of various settings. The experimental results show that LEWIS not only provides less response time while consuming less energy, but also gauntness fairness to the end-user