Communicating and mobile systems: the &pgr;-calculus
Communicating and mobile systems: the &pgr;-calculus
Distributed systems (3rd ed.): concepts and design
Distributed systems (3rd ed.): concepts and design
Distributed Systems: Principles and Paradigms
Distributed Systems: Principles and Paradigms
Reliable Distributed Systems: Technologies, Web Services, and Applications
Reliable Distributed Systems: Technologies, Web Services, and Applications
Software—Practice & Experience
WETICE '09 Proceedings of the 2009 18th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises
FCAPS in the Business Services Fabric Model
WETICE '09 Proceedings of the 2009 18th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises
Autonomic Computing and Networking
Autonomic Computing and Networking
Parallax - A New Operating System for Scalable, Distributed, and Parallel Computing
IPDPSW '11 Proceedings of the 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and PhD Forum
WETICE '11 Proceedings of the 2011 IEEE 20th International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises
WETICE '11 Proceedings of the 2011 IEEE 20th International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises
AAA in a Cloud-Based Virtual DIME Network Architecture (DNA)
WETICE '11 Proceedings of the 2011 IEEE 20th International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises
| Hi-index | 0.00 |
Cellular organisms have evolved to manage themselves and their interactions with their surroundings with a high degree of resiliency, efficiency and scalability. Signaling and collaboration of autonomous distributed computing elements accomplishing a common goal with optimal resource utilization are the differentiating characteristics that contribute to the computing model of cellular organisms. By introducing signaling and self-management abstractions in an autonomic computing element called Distributed Intelligent Managed Element DIME, the authors improve the architectural resiliency, efficiency, and scaling in distributed computing systems. Described are two implementations of DIME network architecture to demonstrate auto-scaling, self-repair, dynamic performance optimization, and end to end distributed transaction management. By virtualizing a process by converting it into a DIME in the Linux operating system and also building a new native operating system called Parallax OS optimized for Intel-multi-core processors, which converts each core into a DIME, implications of the DIME computing model to future cloud computing services and datacenter infrastructure management practices and discuss the relationship of the DIME computing model to current discussions on Turing machines, Gödel's theorems and a call for no less than a Kuhnian paradigm shift by some computer scientists.