Quantifying the Discord: Order Discrepancies in Message Sequence Charts
نویسندگان
چکیده
Message Sequence Charts (MSCs) and High-level Message Sequence Charts (HMSC) are formalisms used to describe scenarios of message passing protocols. We propose using Allen’s logic to study the temporal order of the messages. We introduce the concept of discord to quantify the order discrepancies between messages in different nodes of an HMSC and study its algorithmic properties. We show that while discord of a pair of messages is hard to compute in general, the problem becomes polynomial-time computable if the number of nodes of the HMSC or the number of processes is constant. Moreover, for a given HMSC, it is always computationally easy to identify a pair of messages that exhibits the worst-case discord, and compute the discord of this pair.
منابع مشابه
Extending Compositional Message Sequence Graphs
We extend the formal developments for message sequence charts (MSCs) to support scenarios with lost and found messages. We define a notion of extended compositional message sequence charts (ECMSCs) which subsumes the notion of compositional message sequence charts in expressive power but additionally allows to define lost and found messages explicitly. As usual, ECMSCs might be combined by mean...
متن کاملAutomata and logics for message sequence charts
A message-passing automaton is an abstract model for the implementation of a distributed system whose components communicate via message exchange and thereby define a collection of communication scenarios called message sequence charts. In this thesis, we study several variants of message-passing automata in a unifying framework. We classify their expressiveness in terms of state-space properti...
متن کاملA (max,+) Approach for Time in Message Sequence Charts
This paper details an approach for studying time in Message Sequence Charts (MSCs). MSCs are rst transformed into order automata, and then into (max,+) automata, which allows for the use of well known (max,+) techniques.
متن کاملDetecting Races in Ensembles of Message Sequence Charts
The analysis of message sequence charts (MSCs) is highly important in preventing common problems in communication protocols. Detecting race conditions, i.e., possible discrepancies in event order, was studied for a single MSC and for MSC graphs (a graph where each node consists of a single MSC, also called HMSC). For the former case, this problem can be solved in quadratic time, while for the l...
متن کاملPomsets for Message Sequence Charts
Message sequence charts (MSCs) are a standardised formalism for the specification of the system’s communication behaviour that is widely used by industry. Various extensions to MSCs have recently been standardised by the ITU. This paper treats the extension of MSCs with structural operators that allow the hierarchical composition of MSCs. In particular, we propose a linear-time partial-order se...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Int. J. Found. Comput. Sci.
دوره 21 شماره
صفحات -
تاریخ انتشار 2007