Welcome to the InfoSci Platform
Architectural Resiliency in Distributed Computing

Architectural Resiliency in Distributed Computing

Rao Mikkilineni
Copyright: © 2012 |Volume: 4 |Issue: 4 |Pages: 15
ISSN: 1938-0259|EISSN: 1938-0267|EISBN13: 9781466612341|DOI: 10.4018/jghpc.2012100103
Cite Article Cite Article

MLA

Mikkilineni, Rao. "Architectural Resiliency in Distributed Computing." IJGHPC vol.4, no.4 2012: pp.37-51. http://doi.org/10.4018/jghpc.2012100103

APA

Mikkilineni, R. (2012). Architectural Resiliency in Distributed Computing. International Journal of Grid and High Performance Computing (IJGHPC), 4(4), 37-51. http://doi.org/10.4018/jghpc.2012100103

Chicago

Mikkilineni, Rao. "Architectural Resiliency in Distributed Computing," International Journal of Grid and High Performance Computing (IJGHPC) 4, no.4: 37-51. http://doi.org/10.4018/jghpc.2012100103

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.