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In the age of the Cloud and so-called Big Data systems must be increasinglyflexible, reconfigurable and adaptable to change in addition to being developedrapidly. As a consequence, designing systems to cater for evolution is becomingcritical to their success. To be able to cope with change, systems must havethe capability of reuse and the ability to adapt as and when necessary tochanges in requirements. Allowing systems to be self-describing is one way tofacilitate this. To address the issues of reuse in designing evolvable systems,this paper proposes a so-called description-driven approach to systems design.This approach enables new versions of data structures and processes to becreated alongside the old, thereby providing a history of changes to theunderlying data models and enabling the capture of provenance data. Theefficacy of the description-driven approach is exemplified by the CRISTALproject. CRISTAL is based on description-driven design principles; it usesversions of stored descriptions to define various versions of data which can bestored in diverse forms. This paper discusses the need for capturing holisticsystem description when modelling large-scale distributed systems.

Designing Reusable Systems that Can Handle Change - Description-Driven Systems : Revisiting Object-Oriented Principles