Self-management in future internet wireless networks: Dynamic resource allocation and traffic routing for multi-service provisioning

Evolution towards the Future (Internet) networks necessitates inclusion of self-management capabilities in modern network infrastructures, for a satisfactory provision of related services and for preserving network performance. We have considered a specific targeted methodology, in the form of the generic cognitive cycle model, which includes three distinct processes (i.e. Monitoring, Decision Making and Execution), known as the "MDE" model, able to support dynamic resource allocation and traffic routing schemes. For further understanding of the issue we have examined two essential use-cases of practical interest, both in the context of modern wireless infrastructures: The former was about dynamic spectrum re-allocation for efficient use of traffic, while the latter has examined intelligent dynamic traffic management for handling network overloads, to avoid congestion. © ICST Institute for Computer Sciences.© Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering 2010

Inclusion of telemetry and data analytics in the context of the 5G ESSENCE architectural approach

The 5G will not only be a kind of progress of mobile broadband networks but will also create a set of novel and unique network and service capabilities, structuring a form of a sustainable and scalable technology. Based on the context of the on-going progress of the actual "5G-ESSENCE" EU-funded project and, in particular, upon its innovative architecture that combines a variety of features from network functions virtualisation (NFV), mobile-edge computing (MEC) and cognitive network management resulting in a pure software-driven environment in nature, we identify the importance of telemetry and analytics. These latter features are expected to play an important role in the 5G ecosystem, especially for the realisation and support of dynamic cognitive management of the 5G ESSENCE network architecture. The Cloud Enabled Small Cell Manager (CESCM) which is a "core" element of the corresponding 5G ESSENCE architectural framework encompasses telemetry and analytics as essential tools for automated and fine grained management of the network infrastructures. To this aim, we have proposed the inclusion of three distinct modules (telemetry, analytics and orchestration) to enhance the original 5G ESSENCE architecture. © IFIP International Federation for Information Processing 2019

Patients’ preferences for headache acute and preventive treatment

Background: We aimed to explore patients’ preferences for headache treatments with a self-administered questionnaire including the Q-No questionnaire for nocebo. Methods: Questionnaires from 514 outpatients naïve to neurostimulation and monoclonal antibodies were collected. Results: Patients assessed that the efficacy of a treatment is more important than safety or route of administration. They preferred to use an external neurostimulation device for both acute (67.1%) and preventive treatment (62.8%). Most patients preferred to take a pill (86%) than any other drug given parenterally for symptomatic pharmaceutical treatment. For preventive pharmaceutical treatment, most patients preferred to take a pill once per day (52%) compared to an injection either subcutaneously or intravenously each month (9% and 4%), or three months (15% and 11%). 56.6% of all participants scored more than 15 in Q-No questionnaire indicating potential nocebo behaviors that contributed significantly in their choices. Conclusion: These patient preferences along with efficacy and safety data may help physicians better choose the right treatment for the right person. © 2017, The Author(s)

Intelligent end-to-end resource virtualization using Service Oriented Architecture\ud

Service-oriented architecture can be considered as a philosophy or paradigm in organizing and utilizing services and capabilities that may be under the control of different ownership domains. Virtualization provides abstraction and isolation of lower level functionalities, enabling portability of higher level functions and sharing of physical resources. However, dynamics, environmental conditions and increasing complexity / heterogeneity of underlying resources call for adaptive resource handling. In this view an intelligent distributed architecture that enables dynamic user management and control on network-wide resource sharing by using the Service Oriented Architecture concept is presented. Additionally, the proposed architecture supports trading of resources that will enable the transformation of traditional business models

Network architecture and essential features for 5G: the SESAME project approach

The outstanding and continuous growth of the request of mobile broadband Internet access is creating the unprecedented need to rethink most of the design paradigms of the mobile network. Such trend is accompanied by remarkable progresses of miniaturised electronics, together with the proliferation of social services and computation intensive applications such as high definition video. On one hand, the current mobile network is unable to deliver sufficiently high data rates per user in order to support this growth, and a possible solution is provided by the dense deployment of small cell devices. On the other, mobile operators are struggling to lower costs of deployment and maintenance while keeping profitable revenues. This paper aims to provide overview of the solution developed by the 5G-PPP SESAME project. SESAME proposes to leverage on the concept of Small Cell-as-a-service (SCaaS), providing the complete architectural solution to deploy cloud-enabled small cells. The key innovations developed by SESAME include the deployment of computation capabilities at the mobile network edge, and to exploit virtualisation techniques to manage and orchestrate dense small cell scenarios and different use cases

Design and development of essential use-cases for self-management in Future Internet wireless networks

The paper discusses and describes several selected use-cases for autonomic/cognitive management purposes in the scope of the Future Internet (FI) evolution, as these have been identified upon the original context of the EU-funded Self-NET Project effort. The essential aim is to "delimit" new paradigms for the management of complex and heterogeneous wireless network infrastructures and systems, by proposing the operation of self-managed FI elements around a novel feedback-control cycle, known as the MDE cognitive cycle. Thus, the paper intends to "identify" an integrated validation environment for the prototyping and the assessment of relevant concepts and artifacts, via the establishment of appropriate use-cases and corresponding scenarios of use and the explicit description/set-up of relevant test-beds and/or implementation platforms, towards network and node management. The three proposed use-cases have been selected as "proper drivers" for the design and the validation of Self- NET architecture and concepts. © 2010 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

A performance-based tabular approach for joint systematic improvement of risk control and resilience applied to telecommunication grid, gas network, and ultrasound localization system

Organizational and technical approaches have proven successful in increasing the performance and preventing risks at socio-technical systems at all scales. Nevertheless, damaging events are often unavoidable due to a wide and dynamic threat landscape and enabled by the increasing complexity of modern systems. For overall performance and risk control at the system level, resilience can be a versatile option, in particular for reducing resources needed for system development, maintenance, reuse, or disposal. This paper presents a framework for a resilience assessment and management process that builds on existing risk management practice before, during, and after potential and real events. It leverages tabular and matrix correlation methods similar as standardized in the field of risk analysis to fulfill the step-wise resilience assessment and management for critical functions of complex systems. We present data needs for the method implementation and output generation, in particular regarding the assessment of threats and the effects of counter measures. Also included is a discussion of how the results contribute to the advancement of functional risk control and resilience enhancement at system level as well as related practical implications for its efficient implementation. The approach is applied in the domains telecommunication, gas networks, and indoor localization systems. Results and implications are further discussed