No abstract

Publish/Subscribe is the paradigm in which users express long-term interests (“subscriptions”) and some agent “publishes” events (e.g., offers). The job of Publish/Subscribe software is to send events to the owners of subscriptions satisfied by those events. For example, a user subscription may consist of an interest in an airplane of a certain type, not to exceed a certain price. A published event may consist of an offer of an airplane with certain properties including price. Each subscription consists of a conjunction of (attribute, comparison operator, value) predicates. A subscription closely resembles a trigger in that it is a long-lived conditional query associated with an action (usually, informing the subscriber). However, it is less general than a trigger so novel data structures and implementations may enable the creation of more scalable, high performance publish/subscribe systems. This paper describes an attempt at the construction of such algorithms and its implementation. Using a combination of data structures, application-specific caching policies, and application-specific query processing our system can handle 600 events per second for a typical workload containing 6 million subscriptions.

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Advanced communication networks, such as 5G and beyond, will be a complex ecosystem made of multiple physically interconnected elements, implying that the upcoming network will have to address capabilities such as flexibility, programmability and extensibility. This article, describes an Open and Extensible 5G Network Function Virtualisation (NFV) based Reference ecosystem of experimental facilities, named 5GinFIRE, that integrates existing facilities with new vertical-specific ones but also lays down the foundations for instantiation fully softwarised architectures of vertical industries and experimenting with them. Additionally, we present 5GinFIRE as the forerunner experimental playground, together with three uses cases, wherein new components, architecture designs and APIs may be tried and proposed before they are ported to more industrially mainstream 5G networks that are expected to emerge in large scale.