Fog computing is a distributed paradigm that provides computational resources in the users' vicinity. Fog orchestration is a set of functionalities that coordinate the dynamic infrastructure and manage the services to guarantee the Service Level Agreements. Monitoring is an orchestration functionality of prime importance. It is the basis for resource management actions, collecting status of resource and service and delivering updated data to the orchestrator. There are several cloud monitoring solutions and tools, but none of them comply with fog characteristics and challenges. Fog monitoring solutions are scarce, and they may not be prepared to compose an orchestration service. This paper updates the knowledge base about fog monitoring, assessing recent subjects in this context like observability, data standardization and instrumentation domains. We propose a novel taxonomy of fog monitoring solutions, supported by a systematic review of the literature. Fog monitoring proposals are analyzed and categorized by this new taxonomy, offering researchers a comprehensive overview. This work also highlights the main challenges and open research questions.
翻译:雾计算是一种分布式模式,在用户附近提供计算资源。 雾密管是一套功能,协调动态基础设施和管理服务,以保障服务级别协议。 监测是一个至关重要的管弦功能。 它是资源管理行动、收集资源和服务状况以及向管弦乐队提供最新数据的基础。 有几种云监测解决方案和工具,但没有一种符合雾特性和挑战。 雾监测解决方案稀缺,它们可能不准备组成一个管弦服务。 本文更新了雾监测知识库,评估了这方面最近的课题,如可观测性、数据标准化和仪表化领域。 我们提议对雾监测解决方案进行新的分类,并辅之以对文献的系统审查。 雾监测建议由这一新分类法进行分析和分类,向研究人员提供综合概览。 这项工作还突出了主要挑战和公开研究问题。