Multi-access edge computing (MEC)-enabled Internet of Things (IoT) has become a
powerful solution to run computation-intensive applications on end devices. These …

In edge computing, applications can be scheduled in the granularity of inter-dependent
tasks to proximate edge servers to achieve high performance. Before execution, the edge …

Grid computing emerged as a powerful computing domain for running large-scale parallel
applications. Scheduling computationally intensive parallel applications such as scientific …

Serverless computing lifts the burden of infrastructure maintenance from application
developers and also reduces the usage cost of cloud/edge computing platforms. However …

Edge computing empowers latency-sensitive and computation-intensive applications
composed of multiple dependent tasks of mobile devices to execute on nearby edge …

As a burgeoning paradigm, collaborative mobile edge computing (C‐MEC) can cater to
growing computation demand of mobile devices (MDs). However, there are great challenges …

针对无线设备资源受限导致状态提取滞后难以满足实时应用对信息新鲜度需求的问题,
考虑到边缘节点处理容量的有限性, 提出了一种联合考虑信息新鲜度与调度实时性的调度方法 …

As applications grow in scale, the centralized computing approach leads to excessive
bandwidth requirements and high computational latencies. The traditional computing model …

To address the issue where the resource limitations of wireless devices caused state
extraction delays that cannot meet the freshness requirements of real-time applications …

요 약최근 인터넷 기반 서비스는 데이터의 개인화 및 맞춤화로 인해 사용자의 상황이나
요구사항에 따라 즉시 처리해야 하는 실시간 AI 추론 및 데이터분석과 같은 실시간 처리에 대한 …