A network QoS management architecture for virtualization environments

Network quality of service (QoS) and its management are concerned with providing, guaranteeing and reporting properties of data flows within computer networks. For the past two decades, virtualization has been becoming a very popular tool in data centres, yet, without network QoS management capabilities. With virtualization, the management focus shifts from physical components and topologies, towards virtual infrastructures (VI) and their purposes. VIs are designed and managed as independent isolated entities. Without network QoS management capabilities, VIs cannot offer the same services and service levels as physical infrastructures can, leaving VIs at a disadvantage with respect to applicability and efficiency. This thesis closes this gap and develops a management architecture, enabling network QoS management in virtulization environments. First, requirements are dervied, based on real world scenarios, yielding a validation reference for the proposed architecture. After that, a life cycle for VIs and a taxonomy for network links and virtual components are introduced, to arrange the network QoS management task with the general management of virtualization environments and enabling the creation of technology specific adaptors for integrating the technologies and sub-services used in virtualization environments. The core aspect, shaping the proposed management architecture, is a management loop and its corresponding strategy for identifying and ordering sub-tasks. Finally, a prototypical implementation showcases that the presented management approach is suited for network QoS management and enforcement in virtualization environments. The architecture fulfils its purpose, fulfilling all identified requirements. Ultimately, network QoS management is one amongst many aspects to management in virtualization environments and the herin presented architecture shows interfaces to other management areas, where integration is left as future work.Verwaltungsaufgaben für Netzdienstgüte umfassen das Bereitstellen, Sichern und Berichten von Flusseigenschaften in Rechnernetzen. Während der letzen zwei Jahrzehnte entwickelte sich Virtualisierung zu einer Schlüsseltechnologie für Rechenzentren, bisher ohne Möglichkeiten zum Verwalten der Netzdienstgüte. Der Einsatz von Virtualisierung verschiebt den Fokus beim Betrieb von Rechenzentren weg von physischen Komponenten und Netzen, hin zu virtuellen Infrastrukturen (VI) und ihren Einsatzzwecken. VIs werden als unabhängige, voneinander isolierte Einheiten entwickelt und verwaltet. Ohne Netzdienstgüte, sind VIs nicht so vielseitig und effizient einsetzbar wie physische Aufbauten. Diese Arbeit schließt diese Lücke mit der Entwicklung einer Managementarchitektur zur Verwaltung der Netzdienstgüte in Virtualisierungsumgebungen. Zunächst werden Anforderungen aus realen Szenarios abgeleitet, mit denen Architekturen bewertet werden können. Zur Abgrenzung der speziellen Aufgabe Netzdienstgüteverwaltung innerhalb des allgemeinen Managementproblems, wird anschließend ein Lebenszyklusmodell für VIs vorgestellt. Die Entwicklung einer Taxonomie für Kopplungen und Komponenten ermöglicht technologiespezifische Adaptoren zur Integration von in Virtualisierungsumgebungen eingesetzten Technologien. Kerngedanke hinter der entwickelten Architektur ist eine Rückkopplungsschleife und ihre einhergehende Methode zur Strukturierung und Anordnung von Teilproblemen. Abschließend zeigt eine prototypische Implementierung, dass dieser Ansatz für Verwaltung und Durchsetzung von Netzdienstgüte in Virtualisierungsumgebungen geeignet ist. Die Architektur kann ihren Zweck sowie die gestellten Anforderungen erfüllen. Schlussendlich ist Netzdienstgüte ein Bereich von vielen beim Betrieb von Virtualisierungsumgebungen. Die Architektur zeigt Schnittstellen zu anderen Bereichen auf, deren Integration zukünftigen Arbeiten überlassen bleibt

Psychopower and Ordinary Madness: Reticulated Dividuals in Cognitive Capitalism

Despite the seemingly neutral vantage of using nature for widely-distributed computational purposes, neither post-biological nor post-humanist teleology simply concludes with the real "end of nature" as entailed in the loss of the specific ontological status embedded in the identifier "natural." As evinced by the ecological crises of the Anthropocene—of which the 2019 Brazil Amazon rainforest fires are only the most recent—our epoch has transfixed the “natural order" and imposed entropic artificial integration, producing living species that become “anoetic,” made to serve as automated exosomatic residues, or digital flecks. I further develop Gilles Deleuze’s description of control societies to upturn Foucauldian biopower, replacing its spacio-temporal bounds with the exographic excesses in psycho-power; culling and further detailing Bernard Stiegler’s framework of transindividuation and hyper-control, I examine how becoming-subject is predictively facilitated within cognitive capitalism and what Alexander Galloway terms “deep digitality.” Despite the loss of material vestiges qua virtualization—which I seek to trace in an historical review of industrialization to postindustrialization—the drive-based and reticulated "internet of things" facilitates a closed loop from within the brain to the outside environment, such that the aperture of thought is mediated and compressed. The human brain, understood through its material constitution, is susceptible to total datafication’s laminated process of “becoming-mnemotechnical,” and, as neuroplasticity is now a valid description for deep-learning and neural nets, we are privy to the rebirth of the once-discounted metaphor of the “cybernetic brain.” Probing algorithmic governmentality while posing noetic dreaming as both technical and pharmacological, I seek to analyze how spirit is blithely confounded with machine-thinking’s gelatinous cognition, as prosthetic organ-adaptation becomes probabilistically molded, networked, and agentially inflected (rather than simply externalized)

VNR Algorithm: A Greedy Approach For Virtual Networks Reconfigurations

6 pagesInternational audienceIn this paper we address the problem of virtual network reconfiguration. In our previous work on virtual network embedding strategies, we found that most virtual network rejections were caused by bottlenecked substrate links while peak resource use is equal to 18%. These observations lead us to propose a new greedy Virtual Network Reconfiguration algorithm, VNR. The main aim of our proposal is to 'tidy up' substrate network in order to minimise the number of overloaded substrate links, while also reducing the cost of reconfiguration. We compare our proposal with the related reconfiguration strategy VNA-Periodic, both of them are incorporated in the best existing embedding strategies VNE-AC and VNE-Greedy in terms of rejection rate. The results obtained show that VNR outperforms VNA-Periodic. Indeed, our research shows that the performances of VNR do not depend on the virtual network embedding strategy. Moreover, VNR minimises the rejection rate of virtual network requests by at least ' 83% while the cost of reconfiguration is lower than with VNA-Periodic

Nu@ge: Towards a solidary and responsible cloud computing service

Best Paper AwardInternational audienceThe adoption of cloud computing is still limited by several legal concerns from companies. One of those reasons is the data sovereignty, as data can be physically host in sensible locations, resulting in a lack of control for companies. In this paper, we present the Nu@ge project aimed at building a federation of container-sized datacenter on the French territory. Nu@ge provides a software stack that enables companies to put independent datacenters in cooperation in a national mesh. Additionally, a prototype of a container-sized datacenter has been validated and patented

The Cognitive Architecture of Spatial Navigation: Hippocampal and Striatal Contributions

Spatial navigation can serve as a model system in cognitive neuroscience, in which specific neural representations, learning rules, and control strategies can be inferred from the vast experimental literature that exists across many species, including humans. Here, we review this literature, focusing on the contributions of hippocampal and striatal systems, and attempt to outline a minimal cognitive architecture that is consistent with the experimental literature and that synthesizes previous related computational modeling. The resulting architecture includes striatal reinforcement learning based on egocentric representations of sensory states and actions, incidental Hebbian association of sensory information with allocentric state representations in the hippocampus, and arbitration of the outputs of both systems based on confidence/uncertainty in medial prefrontal cortex. We discuss the relationship between this architecture and learning in model-free and model-based systems, episodic memory, imagery, and planning, including some open questions and directions for further experiments

Trustworthy autonomic architecture (TAArch): Implementation and empirical investigation

This paper presents a new architecture for trustworthy autonomic systems. This trustworthy autonomic architecture is different from the traditional autonomic computing architecture and includes mechanisms and instrumentation to explicitly support run-time self-validation and trustworthiness. The state of practice does not lend itself robustly enough to support trustworthiness and system dependability. For example, despite validating system's decisions within a logical boundary set for the system, there’s the possibility of overall erratic behaviour or inconsistency in the system emerging for example, at a different logical level or on a different time scale. So a more thorough and holistic approach, with a higher level of check, is required to convincingly address the dependability and trustworthy concerns. Validation alone does not always guarantee trustworthiness as each individual decision could be correct (validated) but overall system may not be consistent and thus not dependable. A robust approach requires that validation and trustworthiness are designed in and integral at the architectural level, and not treated as add-ons as they cannot be reliably retro-fitted to systems. This paper analyses the current state of practice in autonomic architecture, presents a different architectural approach for trustworthy autonomic systems, and uses a datacentre scenario as the basis for empirical analysis of behaviour and performance. Results show that the proposed trustworthy autonomic architecture has significant performance improvement over existing architectures and can be relied upon to operate (or manage) almost all level of datacentre scale and complexity

Connecting the Brain to Itself through an Emulation.

Pilot clinical trials of human patients implanted with devices that can chronically record and stimulate ensembles of hundreds to thousands of individual neurons offer the possibility of expanding the substrate of cognition. Parallel trains of firing rate activity can be delivered in real-time to an array of intermediate external modules that in turn can trigger parallel trains of stimulation back into the brain. These modules may be built in software, VLSI firmware, or biological tissue as in vitro culture preparations or in vivo ectopic construct organoids. Arrays of modules can be constructed as early stage whole brain emulators, following canonical intra- and inter-regional circuits. By using machine learning algorithms and classic tasks known to activate quasi-orthogonal functional connectivity patterns, bedside testing can rapidly identify ensemble tuning properties and in turn cycle through a sequence of external module architectures to explore which can causatively alter perception and behavior. Whole brain emulation both (1) serves to augment human neural function, compensating for disease and injury as an auxiliary parallel system, and (2) has its independent operation bootstrapped by a human-in-the-loop to identify optimal micro- and macro-architectures, update synaptic weights, and entrain behaviors. In this manner, closed-loop brain-computer interface pilot clinical trials can advance strong artificial intelligence development and forge new therapies to restore independence in children and adults with neurological conditions

AGILE ENTERPRISE ARCHITECTURE: A CASE OF A CLOUD TECHNOLOGY-ENABLED GOVERNMENT ENTERPRISE TRANSFORMATION

Australian government enterprises have shown a significant interest in the cloud technology-enabled enterprise transformation. Australian government suggests the whole-of-a-government strategy to cloud adoption. The challenge is how best to realise this cloud adoption strategy for the cloud technology-enabled enterprise transformation? The cloud adoption strategy realisation requires concrete guidelines and a comprehensive practical framework. This paper proposes the use of an agile enterprise architecture framework to developing and implementing the adaptive cloud technology-enabled enterprise architecture in the Australian government context. The results of this paper indicate that a holistic strategic agile enterprise architecture approach seems appropriate to support the strategic whole-of-a-government approach to cloud technology-enabled government enterprise transformation

Digital Preservation Services : State of the Art Analysis

Research report funded by the DC-NET project.An overview of the state of the art in service provision for digital preservation and curation. Its focus is on the areas where bridging the gaps is needed between e-Infrastructures and efficient and forward-looking digital preservation services. Based on a desktop study and a rapid analysis of some 190 currently available tools and services for digital preservation, the deliverable provides a high-level view on the range of instruments currently on offer to support various functions within a preservation system.European Commission, FP7peer-reviewe

A network QoS management architecture for virtualization environments

Network quality of service (QoS) and its management are concerned with providing, guaranteeing and reporting properties of data flows within computer networks. For the past two decades, virtualization has been becoming a very popular tool in data centres, yet, without network QoS management capabilities. With virtualization, the management focus shifts from physical components and topologies, towards virtual infrastructures (VI) and their purposes. VIs are designed and managed as independent isolated entities. Without network QoS management capabilities, VIs cannot offer the same services and service levels as physical infrastructures can, leaving VIs at a disadvantage with respect to applicability and efficiency. This thesis closes this gap and develops a management architecture, enabling network QoS management in virtulization environments. First, requirements are dervied, based on real world scenarios, yielding a validation reference for the proposed architecture. After that, a life cycle for VIs and a taxonomy for network links and virtual components are introduced, to arrange the network QoS management task with the general management of virtualization environments and enabling the creation of technology specific adaptors for integrating the technologies and sub-services used in virtualization environments. The core aspect, shaping the proposed management architecture, is a management loop and its corresponding strategy for identifying and ordering sub-tasks. Finally, a prototypical implementation showcases that the presented management approach is suited for network QoS management and enforcement in virtualization environments. The architecture fulfils its purpose, fulfilling all identified requirements. Ultimately, network QoS management is one amongst many aspects to management in virtualization environments and the herin presented architecture shows interfaces to other management areas, where integration is left as future work.Verwaltungsaufgaben für Netzdienstgüte umfassen das Bereitstellen, Sichern und Berichten von Flusseigenschaften in Rechnernetzen. Während der letzen zwei Jahrzehnte entwickelte sich Virtualisierung zu einer Schlüsseltechnologie für Rechenzentren, bisher ohne Möglichkeiten zum Verwalten der Netzdienstgüte. Der Einsatz von Virtualisierung verschiebt den Fokus beim Betrieb von Rechenzentren weg von physischen Komponenten und Netzen, hin zu virtuellen Infrastrukturen (VI) und ihren Einsatzzwecken. VIs werden als unabhängige, voneinander isolierte Einheiten entwickelt und verwaltet. Ohne Netzdienstgüte, sind VIs nicht so vielseitig und effizient einsetzbar wie physische Aufbauten. Diese Arbeit schließt diese Lücke mit der Entwicklung einer Managementarchitektur zur Verwaltung der Netzdienstgüte in Virtualisierungsumgebungen. Zunächst werden Anforderungen aus realen Szenarios abgeleitet, mit denen Architekturen bewertet werden können. Zur Abgrenzung der speziellen Aufgabe Netzdienstgüteverwaltung innerhalb des allgemeinen Managementproblems, wird anschließend ein Lebenszyklusmodell für VIs vorgestellt. Die Entwicklung einer Taxonomie für Kopplungen und Komponenten ermöglicht technologiespezifische Adaptoren zur Integration von in Virtualisierungsumgebungen eingesetzten Technologien. Kerngedanke hinter der entwickelten Architektur ist eine Rückkopplungsschleife und ihre einhergehende Methode zur Strukturierung und Anordnung von Teilproblemen. Abschließend zeigt eine prototypische Implementierung, dass dieser Ansatz für Verwaltung und Durchsetzung von Netzdienstgüte in Virtualisierungsumgebungen geeignet ist. Die Architektur kann ihren Zweck sowie die gestellten Anforderungen erfüllen. Schlussendlich ist Netzdienstgüte ein Bereich von vielen beim Betrieb von Virtualisierungsumgebungen. Die Architektur zeigt Schnittstellen zu anderen Bereichen auf, deren Integration zukünftigen Arbeiten überlassen bleibt