An interval of a sequential process is a sequence of consecutive events of this process. The set of intervals defined on a distributed computation defines an abstraction of this distributed computation, and the traditional causality relation on events induces a relation on the set of intervals that we call I-precedence. An important question is then, ''Is the interval-based abstraction associated with a distributed computation consistent?'' To answer this question, this paper introduces a consistency criterion named interval consistency (IC). Intuitively, this criterion states that an interval-based abstraction of a distributed computation is consistent if its I-precedence relation does not contradict the sequentiality of each process. More formally, IC is defined as a property of a precedence graph. Interestingly, the IC criterion can be operationally characterized in terms of timestamps (whose values belong to a lattice). The paper uses this characterization to design a versatile protocol that, given intervals defined by a daemon whose behavior is unpredictable, breaks them (in a nontrivial manner) in order to produce an abstraction satisfying the IC criterion. Applications to communication-induced checkpointing are suggested.