Intention-oriented programming support for runtime adaptive autonomic cloud-based applications http://researchonline.ljmu.ac.uk/id/eprint/7979/ Article LJMU has developed LJMU Research Online for users to access the research output of the University more effectively. Abstract: The continuing high rate of advances in information and communication systems technology creates many new commercial opportunities but also engenders a range of new technical challenges around maximising systems' dependability, availability, adaptability, and auditability. These challenges are under active research, with notable progress made in the support for dependable software design and management. Runtime support, however, is still in its infancy and requires further research. This paper focuses on a requirements model for the runtime execution and control of an intention-oriented Cloud-Based Application. Thus, a novel requirements modelling process referred to as Provision, Assurance and Auditing, and an associated framework are defined and developed where a given system's non/functional requirements are modelled in terms of intentions and encoded in a standard open mark-up language. An autonomic intention-oriented programming model, using the Neptune language, then handles its deployment and execution.
Baker et al. REF present a requirements model for the runtime execution and control of an intention-oriented Cloud-Based Application.
Intention-oriented programming support for runtime adaptive autonomic cloud-based applications
Comput. Electr. Eng.
Comput. Electr. Eng.
Computer Science