OSIRIS-SR: A Safety Ring for self-healing distributed composite service execution

Abstract

The advent of service-oriented architectures has strongly facilitated the development and deployment of largescale distributed applications. The middleware for orchestrating applications that consist of several distributed services has to be inherently distributed as well, in order to provide a high degree of scalability and to avoid any single point of failure. Self-healing execution of composite services requires replicated control metadata and instance data in a way that does not affect adaptivity and elasticity of the middleware. In this paper, we present OSIRIS-SR, a decentralized approach to self-healing composite service execution in a distributed environment. OSIRIS-SR exploits dedicated node monitors, organized in a self-organizing Safety Ring, for the replication of control data. Moreover, OSIRIS-SR leverages virtual stable storage for managing composite service instance data in a robust way. We present the architecture of OSIRIS-SR's Safety Ring and discuss how it provides self-healing composite service execution. The performance evaluation shows that the additional gain in robustness has only marginal effects on the scalability characteristics of the system.

A survey of self‐healing systems frameworks

“…Although ad hoc systems management comes in a variety of forms, this survey focuses on three distinct approaches: system‐to‐system , localised healing , and those that utilise atomic interfaces to synthesise virtual resources . System‐to‐system frameworks are capable of making changes by sampling from or delegating to neighbouring nodes.…”

Evaluation of Self-Healing Systems: An Analysis of the State-of-the-Art and Required Improvements

“…Therefore, we only have data for 78% of the investigated papers. A large proportion of the reviewed papers, 16 studies (44%), employ single deterministic traces to steer the failure injection in the simulated experiments [17,[29][30][31][32][33][34][35][36][37][38][39][40][41][42][43]. In these studies the characteristics of the failure occurrences such as FGS and IAT are not determined by a probability distribution but determined for each occurrence explicitly as scalar values (see Section 2.2).…”

Highly Customizable Service Composition and Orchestration

“…OSIRIS [23] is an Open Service Infrastructure for Reliable and Integrated process Support that consists of a peer-to-peer decentralized service execution engine and organizes services into a self-organizing ring topology.…”