In a globalized market, technology evolution is neither an option nor an election but a necessity. The future of both humans and systems points toward a singularity within a short timeframe. We are converging into a symbiosis, which is why we have been evolving most traditional systems architectures and technologies into critical and high availability systems, so they can provide services available 24/7 in a precise and uninterruptible way. As a response to the necessities previously mentioned, there currently exist some efforts focused on solving said problems. A remarkable option among them is the autonomous decentralized system-oriented architecture (ADSOA), a novel architecture that takes as an analogy the survival mechanisms of living organisms, as well as the backbone of the specialization of functions through the genetic code that cells provide to a living thing, in order to deal with constant requirements that exist under a high demand system that provides uninterrupted services. Thus, ADSOA becomes a solid bridge between hitherto known architectures to business architectures that demand 24/7 services for internal and external business partners.

Chapter Contents:

• Abstract
• 12.1 Introduction
• 12.2 Autonomous decentralized systems requirements
• 12.3 Service-oriented architecture requirements
• 12.4 Concept and architecture based on biological analogy
• 12.4.1 Complex systems
• 12.4.2 Cellular signalling (software-based DF)
• 12.4.3 Cell-oriented design (autonomous processing entity)
• 12.5 ADSOA technologies
• 12.5.1 Fault tolerance
• 12.5.2 Self-recovery
• 12.5.3 Online services management
• 12.6 Summary
• 12.7 The future
• Acknowledgements
• References

Inspec keywords: business data processing; service-oriented architecture; safety-critical software; reliability

Other keywords: technology evolution; high availability systems; critical availability systems; genetic code; autonomous decentralized system-oriented architecture; business architectures; ADSOA

Subjects: Software engineering techniques; Business and administrative computing