Despite the de-facto technological uniformity fostered by the cloud and edge computing paradigms, resource fragmentation across isolated clusters hinders the dynamism in application placement, leading to suboptimal performance and operational complexity. Building upon and extending these paradigms, we propose a novel approach envisioning a transparent continuum of resources and services on top of the underlying fragmented infrastructure, called liquid computing. Fully decentralized, multi-ownership-oriented and intent-driven, it enables an overarching abstraction for improved applications execution, while at the same time opening up for new scenarios, including resource sharing and brokering. Following the above vision, we present liqo, an open-source project that materializes this approach through the creation of dynamic and seamless Kubernetes multi-cluster topologies. Extensive experimental evaluations have shown its effectiveness in different contexts, both in terms of Kubernetes overhead and compared to other open-source alternatives.

翻译：尽管云层和边际计算模式促进了技术的非实际统一性,但孤立的集群资源分散妨碍了应用定位的活力,导致业绩和业务复杂性不尽人意。我们以这些范例为基础并扩展了这些范例,提出了一种新颖的办法,设想在基本分散的基础设施(称为液体计算)之上建立透明的资源和服务连续体。完全分散、多所有权和意向驱动,它为改进应用的实施提供了总体抽象,同时为包括资源共享和中介在内的新情景打开了大门。按照上述设想,我们介绍了一个开放源项目,即开放源项目,通过创建动态和无缝的库贝涅斯多组群结构实现这一方法。广泛的实验性评估表明,在不同的环境下,无论是在库贝涅斯高端,还是在与其他开放源的替代物相比,它都具有效力。