Demo: A serverless topic-based and content-based pub/sub broker
Pezhman Nasirifard, Aleksander Slominski, et al.
Middleware 2017
In this work, we develop an approach for the safe distribution and parallel execution of data-centric workflows over the publish/subscribe abstraction. In essence, we design a unique representation of data-centric workflows, specifically designed to exploit the loosely coupled and distributed nature of publish/subscribe systems. Furthermore, we argue for the practicality and expressiveness of our approach by mapping a standard and industry-strength data-centric workflow model, namely, IBM Business Artifacts with Guard-Stage-Milestone (GSM), into the publish/subscribe abstraction. In short, the contributions of this work are three-fold: (1) mapping of data-centric workflows into publish/subscribe to achieve distributed and parallel execution; (2) detailed theoretical analysis of the mapping; and (3) formulation of the complexity of the optimal workflow distribution over the publish/subscribe abstraction as an NP-hard problem.
Pezhman Nasirifard, Aleksander Slominski, et al.
Middleware 2017
Kaiwen Zhang, Vinod Muthusamy, et al.
ICDCS 2017
Ehab Abdelhamid, Mustafa Canim, et al.
ICDE 2018
Young Yoon, Nathan Robinson, et al.
SAC 2016