Infrastructure-efficient Virtual-Machine Placement and Workload Assignment in Cooperative Edge-Cloud Computing Over Backhaul Networks
Infrastructure-efficient Virtual-Machine Placement and Workload Assignment in Cooperative Edge-Cloud Computing Over Backhaul Networks
复制标题
回程网络上协作边缘云计算中基础设施高效的虚拟机放置和工作负载分配
DOI：
10.1109/tcc.2021.3107596
复制
发表时间：
2023-01-01
影响因子：
6.5
通讯作者：
Mukherjee, Biswanath
中科院分区：
文献类型：
--
作者：
Wang, Wei;Tornatore, Massimo;Mukherjee, Biswanath
边缘计算在用户附近提供计算能力，以减少最终用户的服务延迟。为了提高边缘计算基础设施的效率，地理上分布的边缘计算中心可以相互协作并与云计算中心协作，形成了一种称为协作边缘云计算的新范式。在此上下文中，应用通常在可以在多个站点处复制的虚拟机（VM）上运行，并且因此可以在对应VM驻留的所有站点处服务用户流量。对于许多应用程序的性能，延迟是一个关键参数。在这项工作中，以应用程序的延迟为主要约束，我们的模型的“虚拟机放置和工作负载分配”的问题作为一个混合整数线性规划，并开发相应的启发式算法。其目标是最大限度地减少将虚拟机放置在协作边缘云计算中的信息技术（IT）基础设施的消耗，同时满足不同应用程序的异构延迟需求。一些初步结果表明，边缘数据中心的资源效率可以通过适当的跨站点VM放置和工作负载重定向来优化。
Edge computing provides computing capability at close-user proximity to reduce service latency for end users. To improve the efficiency of edge computing infrastructures, geographically-distributed edge datacenters can co-work with each other and with cloud datacenters, forming a new paradigm referred to as cooperative edge-cloud computing. In this context, applications typically run on a virtual machine (VM) that can be replicated at multiple sites, and thus user traffic can be served at all the sites where corresponding VMs reside. For the performance of many applications, latency is a critical parameter. In this work, taking applications' latencies as the primary constraint, we model the problem of "VM placement and workload assignment" as a mixed integer linear program and develop heuristic algorithms accordingly. The goal is to minimize the consumption of information technology (IT) infrastructures for placing VMs in cooperative edge-cloud computing, while meeting the heterogeneous latency demands of different applications. Some preliminary results indicate that edge datacenter's resource efficiency can be optimized by proper cross-site VM placement and workload re-direction.