Declarative Application Management in the Fog

Abstract

Orchestrating next-gen applications over heterogeneous resources along the Cloud-IoT continuum calls for new strategies and tools to enable scalable and application-specific managements. Inspired by the self-organisation capabilities of bacteria colonies, we propose a declarative, fully decentralised application management solution, targeting pervasive opportunistic Cloud-IoT infrastructures. We present a customisable declarative implementation of the approach and validate its scalability through simulation over motivating scenarios, also considering end-user’s mobility and the possibility to enforce application-specific management policies for different (classes of) applications.

Osmotic management of distributed complex systems: A declarative decentralised approach

“…"> All‐in‐Edge , which represents a second control case in which a static number of instances for each application in the smallest flavour are deployed to all available edge devices, that is, as close as possible to their users. Fog‐based , which implements the MARIO framework without considering Osmotic adaptation by only allowing to deploy service instances in their largest flavour (Section 3.1) and without user profiles considered by NMs (Section 3.2), as in previous studies 15,29 …”

“…Fog‐based , which implements the MARIO framework without considering Osmotic adaptation by only allowing to deploy service instances in their largest flavour (Section 3.1) and without user profiles considered by NMs (Section 3.2), as in previous studies 15,29 …”

“…The AM module works as illustrated in previous studies 14,15 by orderly evaluating the declared management rules on the infrastructure and application instance data currently available in the knowledge base. The evaluation results in a management operation involving the considered application instance and targeting the optimisation of some particular metric (e.g.…”

“…MARIO allows application operators to specify and enforce application‐specific management policies, by declaring them through a set of management operations that can trigger based on local contextual information. The application management approach was complemented with a bacteria‐inspired interpretation and a formal operational semantics, and assessed over a large‐scale lifelike scenario including end‐user mobility 15 …”

“…The application management approach was complemented with a bacteria-inspired interpretation and a formal operational semantics, and assessed over a large-scale lifelike scenario including end-user mobility. 15 However, our previous work only focussed on application management, featuring undeploy, migrate and horizontal scaling operations. In fact, it did not account for Osmotic adaptation of running application instances nor for the possibility to write ad hoc node management policies in charge of accepting (or rejecting) application management requests, possibly conditioned to forcing adaptation or migration of currently hosted applications, also based on their application operator profile.…”