From the World Wide Web to supply chains and scientific simulations, distributed systems are a widely used and important approach to building computational systems. Tracking provenance within these systems is crucial for determining the trustworthiness of data they produce, troubleshooting problems, assigning responsibility for decisions, and improving performance. To facilitate such tracking, the Open Provenance Model (OPM) has been created to enable the interchange of provenance between a distributed system's components. However, to date, the ability of OPM to represent distributed systems has not been verified. In this work, we show how OPM can be used to represent a set of distributed systems' patterns. We present a profile that shows t...
In autonomously managed distributed systems for collaboration, provenance can facilitate reuse of in...
While provenance research is common in distributed systems, many proposed solutions do not address t...
In this paper, we propose a provenance model able to represent the provenance of any data object cap...
From the World Wide Web to supply chains and scientific simulations, distributed systems are a widel...
We present a formalism for provenance in distributed systems based on the pi-calculus. Its main feat...
The Open Provenance Model is a model of provenance that is designed to meet the following requiremen...
In this paper, we introduce the Open Provenance Model, a model for provenance that is designed to me...
The Open Provenance Model is a model for provenance that is designed to meet the following requireme...
We present a formalism for provenance in distributed systems based on the π-calculus. Its main featu...
The Open Provenance Model is a model of provenance that is designed to meet the following requiremen...
The Open Provenance Model is a model of provenance that is designed to meet the following requiremen...
The Open Provenance Model (OPM) is a community-driven data model for Provenance that is designed to ...
Occurrence Nets (ON) are directed acyclic graphs that represent causality and concurrency informatio...
Abstract. Occurrence Nets (ON) are directed acyclic graphs that repre-sent causality and concurrency...
Scientific and business communities are adopting large-scale distributed systems as a means to solve...
In autonomously managed distributed systems for collaboration, provenance can facilitate reuse of in...
While provenance research is common in distributed systems, many proposed solutions do not address t...
In this paper, we propose a provenance model able to represent the provenance of any data object cap...
From the World Wide Web to supply chains and scientific simulations, distributed systems are a widel...
We present a formalism for provenance in distributed systems based on the pi-calculus. Its main feat...
The Open Provenance Model is a model of provenance that is designed to meet the following requiremen...
In this paper, we introduce the Open Provenance Model, a model for provenance that is designed to me...
The Open Provenance Model is a model for provenance that is designed to meet the following requireme...
We present a formalism for provenance in distributed systems based on the π-calculus. Its main featu...
The Open Provenance Model is a model of provenance that is designed to meet the following requiremen...
The Open Provenance Model is a model of provenance that is designed to meet the following requiremen...
The Open Provenance Model (OPM) is a community-driven data model for Provenance that is designed to ...
Occurrence Nets (ON) are directed acyclic graphs that represent causality and concurrency informatio...
Abstract. Occurrence Nets (ON) are directed acyclic graphs that repre-sent causality and concurrency...
Scientific and business communities are adopting large-scale distributed systems as a means to solve...
In autonomously managed distributed systems for collaboration, provenance can facilitate reuse of in...
While provenance research is common in distributed systems, many proposed solutions do not address t...
In this paper, we propose a provenance model able to represent the provenance of any data object cap...