Scaling and Self-repair of Linux Based Services Using a Novel Distributed Computing Model Exploiting Parallelism

Morana, Giovanni; Mikkilineni, Rao

doi:10.1109/wetice.2011.18

Cited by 26 publications

(16 citation statements)

References 4 publications

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“…The DIME computing model exploits the parallelism to implement a signaling network overlay over a network of von Neumann SPC computing nodes (cores in a multicore server using a new operating system [6,7] or Linux Processes in conventional computing [5]). Multiple threads available in each core or a Linux process implementation are exploited to implement a self-managed computing element called the DIME.…”

Section: The Dime Network Architecturementioning

confidence: 99%

“…The details of injecting the DNA in Linux OS using a non-von Neumann middleware are described elsewhere [5], and it requires no special accommodations from the operating system. In fact, the non-von Neumann middleware uses standard OS services so that it can be easily ported to other operating systems offering multithreading capabilities.…”

Section: The Dime Network Architecturementioning

confidence: 99%

“…In this paper, we will revisit the design of distributed systems with a new non-von Neumann computing model (called Distributed Intelligent Managed Element (DIME) (DIME, Cloud-DNA, and Dime Network Architecture are trade marks of Kawa Objects Inc.) network computing model) [4][5][6][7][8] that integrates computational workflows with a parallel implementation of management workflows to provide dynamic real-time FCAPS management of distributed services and end-to-end service transaction management.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Service Virtualization Using a Non-von Neumann Parallel, Distributed, and Scalable Computing Model

Mikkilineni¹,

Morana

Zito

et al. 2012

Journal of Computer Networks and Communications

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This paper describes a prototype implementing a high degree of transaction resilience in distributed software systems using a nonvon Neumann computing model exploiting parallelism in computing nodes. The prototype incorporates fault, configuration, accounting, performance, and security (FCAPS) management using a signaling network overlay and allows the dynamic control of a set of distributed computing elements in a network. Each node is a computing entity endowed with self-management and signaling capabilities to collaborate with similar nodes in a network. The separation of parallel computing and management channels allows the end-to-end transaction management of computing tasks (provided by the autonomous distributed computing elements) to be implemented as network-level FCAPS management. While the new computing model is operating system agnostic, a Linux, Apache, MySQL, PHP/Perl/Python (LAMP) based services architecture is implemented in a prototype to demonstrate end-to-end transaction management with auto-scaling, self-repair, dynamic performance management and distributed transaction security assurance. The implementation is made possible by a non-von Neumann middleware library providing Linux process management through multi-threaded parallel execution of self-management and signaling abstractions. We did not use Hypervisors, Virtual machines, or layers of complex virtualization management systems in implementing this prototype.

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Section: The Dime Network Architecturementioning

confidence: 99%

Section: The Dime Network Architecturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Service Virtualization Using a Non-von Neumann Parallel, Distributed, and Scalable Computing Model

Mikkilineni¹,

Morana

Zito

et al. 2012

Journal of Computer Networks and Communications

Self Cite

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“…The DIME network therefore describes and implements a dynamic managed process flow exhibiting a meta-stable equilibrium where fluctuations are determined by the interactions among the various elements and their environments. More details of an application of these concepts in improving the operation and management of distributed computing in Linux and a native operating system called Parallax-OS are described in [26][27][28][29].…”

Section: Dime Network Architecture Andmentioning

confidence: 99%

“…As mentioned above, DNA has been implemented in two instances [26][27][28][29]: 1) Using the DIME computing model to provide FCAPS management to a Linux process. This approach allows any Linux executable to be endowed with selfmanagement and signaling capability thus allowing selfrepair, auto-scaling, dynamic performance monitoring and management, and end-to-end transaction FCAPS management in a distributed system.…”

Section: Dime Network Entropy and Metastable Equilibriummentioning

confidence: 99%

Going beyond Computation and Its Limits: Injecting Cognition into Computing

Mikkilineni¹

2012

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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.

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Providing QoS strategies and cloud‐integration to web servers by means of aspects

Giunta

Messina

Pappalardo

et al. 2013

Concurrency and Computation

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SUMMARYThe main responsibilities of a web server are to listen from the communication channel and to prepare replies to requests. Additional responsibilities include adapting processing activities, for example, through scheduling or request filtering, so as to satisfy Quality of Service (QoS) requirements. Typical QoS-related concerns address behavioural constraints (e.g. response time bounds, satisfiable by scheduling the most urgent requests first) and resource monitoring, for optimal use. Although such concerns are spread across several web server components, they should be handled separately from communication-related ones, for the sake of modularity.For this purpose, we advocate recourse to aspect-oriented programming and illustrate it by showing how a QoS-related layer can be smoothly superimposed on top of a well-known, unmodified, web server Jigsaw. As part of the provided support, requests are assessed and partitioned into those that can be appropriately handled by using local resources and those needing further resources. For the latter requests, cloud-based resources are gathered. Aspect-orientation enables new QoS-related code to be separated from web server modules so as to keep existing code unaltered, while runtime behaviour is modified with the measures needed to handle QoS concerns.

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Scaling and Self-repair of Linux Based Services Using a Novel Distributed Computing Model Exploiting Parallelism

Cited by 26 publications

References 4 publications

Service Virtualization Using a Non-von Neumann Parallel, Distributed, and Scalable Computing Model

Service Virtualization Using a Non-von Neumann Parallel, Distributed, and Scalable Computing Model

Going beyond Computation and Its Limits: Injecting Cognition into Computing

Providing QoS strategies and cloud‐integration to web servers by means of aspects

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