  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.
