论文标题
一项有关边缘云中调度技术的调查：问题，挑战和未来方向
A Survey on Scheduling Techniques in the Edge Cloud: Issues, Challenges and Future Directions
论文作者
论文摘要
物联网和5G网络出现后，Edge Computing成为吸引力的中心。由于边缘是资源限制的，要求高计算的任务通常会卸载到云上。边缘云是一个有前途的平台，设备可以在其中卸载延迟敏感的工作负载。在这方面，安排在Edge Cloud Clocaloration中的决策方面非常重要。调度的最终目标是经验质量，最大程度地降低延迟并提高绩效。过去已经做出了大量的安排努力。在本文中，我们在边缘云计算的背景下在各个方面进行了调查，例如优势和范围，QoS参数和容错。我们还调查了这种调度方法，以评估哪种情况在什么情况下是可行的。我们首先将所有算法分类为启发式算法和元数据术，然后根据算法的提取属性进一步将每个类中的算法对算法进行了对。我们希望这项调查在开发新的调度技术方面将非常周到。还研究了问题，挑战和未来的方向。
After the advent of the Internet of Things and 5G networks, edge computing became the center of attraction. The tasks demanding high computation are generally offloaded to the cloud since the edge is resource-limited. The Edge Cloud is a promising platform where the devices can offload delay-sensitive workloads. In this regard, scheduling holds great importance in offloading decisions in the Edge Cloud collaboration. The ultimate objectives of scheduling are the quality of experience, minimizing latency, and increasing performance. An abundance of efforts on scheduling has been done in the past. In this paper, we have surveyed proposed scheduling strategies in the context of edge cloud computing in various aspects such as advantages and demerits, QoS parameters, and fault tolerance. We have also surveyed such scheduling approaches to evaluate which one is feasible under what circumstances. We first classify all the algorithms into heuristic algorithms and meta-heuristics, and we subcategorize algorithms in each class further based on extracted attributes of algorithms. We hope that this survey will be very thoughtful in the development of new scheduling techniques. Issues, challenges, and future directions have also been examined.
