Designing a New Class of Distributed Systems

Mikkilineni, Rao

doi:10.1007/978-1-4614-1924-2

Cited by 29 publications

(21 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this paper we argue that the DIME network architecture introduced to inject architectural resiliency in distributed computing systems [14,15] supports the fifth alternative introduced by Copeland.…”

Section: Turing O-machine and The Scale Invariant Structure Processesmentioning

confidence: 90%

“…In this paper we argue that the DIME network architecture recently introduced [14] incorporates a "regulatory" function to exert external influence on a Turing machine while computation is still in progress (and has not halted yet), making it act more like an O-machine. A network of such "regulated" Turing machines acts like a…”

Section: Turing O-machine and The Scale Invariant Structure Processesmentioning

confidence: 99%

“…The FCAPS elements of the DIME provide setup, monitoring, analysis and reconfiguration based on workload variations, system priorities based on policies and latency constraints. They are interconnected and controlled using a signaling channel which overlays a computing channel that provides I/O connections to the MICE) [14]. The DIME computing element acts like a Turing O-machine introduced in his thesis and circumvents Gödel's halting and un-decidability issues by separating the computing and its management and pushing the management to a higher level.…”

Section: Dime Network Architecture Andmentioning

confidence: 99%

“…The DIME network thus provides a regulatory (or signaling) network overlay over the computing network. The DIME network [14] consists of four components:…”

Section: Dime Network Architecture Andmentioning

confidence: 99%

See 3 more Smart Citations

Going beyond Computation and Its Limits: Injecting Cognition into Computing

Mikkilineni¹

2012

Self Cite

View full text Add to dashboard Cite

Cognition is the ability to process information, apply knowledge, and change the circumstance. Cognition is associated with intent and its accomplishment through various processes that monitor and control a system and its environment. Cognition is associated with a sense of "self" (the observer) and the systems with which it interacts (the environment or the "observed"). Cognition extensively uses time and history in executing and regulating tasks that constitute a cognitive process. Whether cognition is computation in the strict sense of adhering to Turing-Church thesis or needs additional constructs is a very relevant question for addressing the design of self-managing (autonomous) distributed computing systems. In this paper we argue that cognition requires more than mere book-keeping provided by the Turing machines and certain aspects of cognition such as self-identity, self-description, self-monitoring and self-management can be implemented using parallel extensions to current serial von-Neumann stored program control (SPC) Turing machine implementations. We argue that the new DIME (Distributed Intelligent Computing Element) computing model, recently introduced as the building block of the DIME network architecture, is an analogue of Turing's O-machine and extends it to implement a recursive managed distributed computing network, which can be viewed as an interconnected group of such specialized Oracle machines, referred to as a DIME network. The DIME network architecture provides the architectural resiliency, which is often associated with cellular organisms, through auto-failover; auto-scaling; live-migration; and end-to-end transaction security assurance in a distributed system. We argue that the self-identity and self-management processes of a DIME network inject the elements of cognition into Turing machine based computing as is demonstrated by two prototypes eliminating the complexity introduced by hypervisors, virtual machines and other layers of ad-hoc management software in today's distributed computing environments.

show abstract

Section: Turing O-machine and The Scale Invariant Structure Processesmentioning

confidence: 90%

Section: Turing O-machine and The Scale Invariant Structure Processesmentioning

confidence: 99%

Section: Dime Network Architecture Andmentioning

confidence: 99%

“…The DIME network thus provides a regulatory (or signaling) network overlay over the computing network. The DIME network [14] consists of four components:…”

Section: Dime Network Architecture Andmentioning

confidence: 99%

See 2 more Smart Citations

Going beyond Computation and Its Limits: Injecting Cognition into Computing

Mikkilineni¹

2012

Self Cite

View full text Add to dashboard Cite

show abstract

“…However these approaches suffer from two fundamental limitations: 1) vendor lock-in makes difficult their integration and 2) the lack of common, shared knowledge makes impossible an effective coordination of them. This paper briefly introduces the DIME computing model [4][5][6], an innovative approach that uses a computing model inspired by the Turing Oracle Machine to demonstrate that any workload can be endowed with self-provisioning, auto-scaling, self-repair and live migration to any computing infrastructure without disrupting user experience.…”

Section: Introductionmentioning

confidence: 99%

Self-Managing Distributed Systems and Globally Interoperable Network of Clouds

Morana¹

2017

Proceedings of the IS4SI 2017 Summit DIGITALISATION FOR a SUSTAINABLE SOCIETY, Gothenburg, Sweden, 12–16 June 2017.

View full text Add to dashboard Cite

This paper describes a new approach to autonomic computing that brings self-managing properties to applications and workflows of applications using a new computing model inspired by the functioning of the Turing Oracle Machine discussed in Alan Turing's Thesis. This approach, based on an effective management of the knowledge about the function, the structure and the fluctuations of the managed workflow, makes it possible to create an interoperable global network of clouds that can be used to support self-provisioning workloads with auto-scaling, auto-failover and live migration, guaranteeing the required level of QoS without disrupting user experience.

show abstract