Deadline based scheduling for data-intensive applications in clouds

Cloud computing emerges as a new computing pattern that can provide elastic services for any users around the world. It provides good chances to solve large scale scientific problems with fewer efforts. Application deployment remains an important issue in clouds. Appropriate scheduling mechanisms can shorten the total completion time of an application and therefore improve the quality of service (QoS) for cloud users. Unlike current scheduling algorithms which mostly focus on single task allocation, we propose a deadline based scheduling approach for data-intensive applications in clouds. It does not simply consider the total completion time of an application as the sum of all its subtasks’ completion time. Not only the computation capacity of virtual machine (VM) is considered, but also the communication delay and data access latencies are taken into account. Simulations show that our proposed approach has a decided advantage over the two other algorithms.     

二三维一体化的电网地理信息系统建设

电网地理信息系统在传统二维以及三维地理信息系统已有的空间查询、分析、展示功能的基础上,通过对紧密型二三维一体化方法的研究,实现了二三维一体化的电网地理信息系统建设,在二三维一体化的场景下,提供真实模拟电网场景、设备管理、变电站机器人巡检、城市模型渲染、气象信息展示等应用。