مقاله انگلیسی رایگان در مورد یک چارچوب مدولار برای بررسی سیستم های توزیع تطبیق پذیر – الزویر 2019

1- Context

2- TLA+ specification language

3- Overview of the verification framework

4- Micromodels in detail

5- Properties of multicast and convergecast communication

6- Related work

7- Conclusion

References

Abstract

Putting independent components together is a common design practice of distributed systems. Besides, there exists a wide range of interaction protocols that dictate how these components interact, which impacts their compatibility. However, the communication model itself always consists in a monolithic description of the rules and properties of the communication. In this paper, we propose a mechanized framework for the compatibility checking of compositions of peers where the interaction protocol can be fine tuned through assembly of basic properties on the communication. These include whether the communication is point-to-point, multicast or convergecast, which ordering-policies are to be applied, applicative priorities, bounds on the number of messages in transit, and so on. Among these properties, we focus on a generic description of multicast communication that encompasses point-to-point and one-to-all communication as special cases. The components that form the communication model are specified in TLA+, and a system, composed of a communication model and a specification of the behavior of the peers (also in TLA+ ), is checked with the TLA+ model checker. Eventually we provide theoretical views on the relations between ordering-policies through the lenses of multicast and convergecast communication.

Introduction

Distributed systems are a composition of individual components, the peers, that exchange messages and work towards a common goal. Their interactions are governed by a protocol, or communication model, that specifies whether the emission or the reception of a message is possible. For example, synchronous communication dictates that a message shall be sent and received at the same time (rendez-vous). In asynchronous communication, though, which this paper focuses on, the emission and the reception of a message do not happen simultaneously: the two events occur with a delay. This results in many possible interleavings of the communication events, some of which might jeopardize the compatibility or the correction of a composition of peers unless specific properties on the communication are met. Such properties include whether the communication is point-to-point, multicast or convergecast, numerous message-ordering policies that state that some messages have to be delivered in their emission order, bounds on the number of messages in transit, and applicative priorities ensuring that some messages or recipients have precedence over others. Any conjunction of these properties is a unique communication model. Yet, existing verification frameworks consider the interaction protocol to be an indivisible entity that may be, at best, parameterized (e.g. capacity of queues) or entirely substituted by another.