5,344 research outputs found
Business scenarios, technical challenges and system requirements - D2.1
Deliverable D2.1 del projecte Europeu OneFIT (ICT-2009-257385)Preprin
IDEALIST control and service management solutions for dynamic and adaptive flexi-grid DWDM networks
Wavelength Switched Optical Networks (WSON) were designed with the premise that all channels in a network have the same spectrum needs, based on the ITU-T DWDM grid. However, this rigid grid-based approach is not adapted to the spectrum requirements of the signals that are best candidates for long-reach transmission and high-speed data rates of 400Gbps and beyond. An innovative approach is to evolve the fixed DWDM grid to a flexible grid, in which the optical spectrum is partitioned into fixed-sized spectrum slices. This allows facilitating the required amount of optical bandwidth and spectrum for an elastic optical connection to be dynamically and adaptively allocated by assigning the necessary number of slices of spectrum. The ICT IDEALIST project will provide the architectural design, protocol specification, implementation, evaluation and standardization of a control plane and a network and service management system. This architecture and tools are necessary to introduce dynamicity, elasticity and adaptation in flexi-grid DWDM networks. This paper provides an overview of the objectives, framework, functional requirements and use cases of the elastic control plane and the adaptive network and service management system targeted in the ICT IDEALIST project
Probabilistic Model Checking for Energy Analysis in Software Product Lines
In a software product line (SPL), a collection of software products is
defined by their commonalities in terms of features rather than explicitly
specifying all products one-by-one. Several verification techniques were
adapted to establish temporal properties of SPLs. Symbolic and family-based
model checking have been proven to be successful for tackling the combinatorial
blow-up arising when reasoning about several feature combinations. However,
most formal verification approaches for SPLs presented in the literature focus
on the static SPLs, where the features of a product are fixed and cannot be
changed during runtime. This is in contrast to dynamic SPLs, allowing to adapt
feature combinations of a product dynamically after deployment. The main
contribution of the paper is a compositional modeling framework for dynamic
SPLs, which supports probabilistic and nondeterministic choices and allows for
quantitative analysis. We specify the feature changes during runtime within an
automata-based coordination component, enabling to reason over strategies how
to trigger dynamic feature changes for optimizing various quantitative
objectives, e.g., energy or monetary costs and reliability. For our framework
there is a natural and conceptually simple translation into the input language
of the prominent probabilistic model checker PRISM. This facilitates the
application of PRISM's powerful symbolic engine to the operational behavior of
dynamic SPLs and their family-based analysis against various quantitative
queries. We demonstrate feasibility of our approach by a case study issuing an
energy-aware bonding network device.Comment: 14 pages, 11 figure
IDEALIST control and service management solutions for dynamic and adaptive flexi-grid DWDM networks
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. R. Muñoz, V. LĂłpez, R. Casellas, O. GonzĂĄlez de Dios, F. Cugini, N. Sambo, A. d'Errico, O. Gerstel, D. King, S. LĂłpez-Buedo, P. Layec, A. Cimmino, R. MartĂnez, and R. Moro, "IDEALIST control and service management solutions for dynamic and adaptive flexi-grid DWDM networks", in Future Network and Mobile Summit, 2013, pp. 1-10Wavelength Switched Optical Networks (WSON) were designed with the premise that all channels in a network have the same spectrum needs, based on the ITU-T DWDM grid. However, this rigid grid-based approach is not adapted to the spectrum requirements of the signals that are best candidates for long-reach transmission and high-speed data rates of 400Gbps and beyond. An innovative approach is to evolve the fixed DWDM grid to a flexible grid, in which the optical spectrum is partitioned into fixed-sized spectrum slices. This allows facilitating the required amount of optical bandwidth and spectrum for an elastic optical connection to be dynamically and adaptively allocated by assigning the necessary number of slices of spectrum. The ICT IDEALIST project will provide the architectural design, protocol specification, implementation, evaluation and standardization of a control plane and a network and service management system. This architecture and tools are necessary to introduce dynamicity, elasticity and adaptation in flexi-grid DWDM networks. This paper provides an overview of the objectives, framework, functional requirements and use cases of the elastic control plane and the adaptive network and service management system targeted in the ICT IDEALIST project.This work was partially funded by the European Communityâs Seventh Framework Programme
FP7/2007-2013 through the Integrated Project (IP) IDEALIST under grant agreement nÂș 317999
A survey of machine learning techniques applied to self organizing cellular networks
In this paper, a survey of the literature of the past fifteen years involving Machine Learning (ML) algorithms applied to self organizing cellular networks is performed. In order for future networks to overcome the current limitations and address the issues of current cellular systems, it is clear that more intelligence needs to be deployed, so that a fully autonomous and flexible network can be enabled. This paper focuses on the learning perspective of Self Organizing Networks (SON) solutions and provides, not only an overview of the most common ML techniques encountered in cellular networks, but also manages to classify each paper in terms of its learning solution, while also giving some examples. The authors also classify each paper in terms of its self-organizing use-case and discuss how each proposed solution performed. In addition, a comparison between the most commonly found ML algorithms in terms of certain SON metrics is performed and general guidelines on when to choose each ML algorithm for each SON function are proposed. Lastly, this work also provides future research directions and new paradigms that the use of more robust and intelligent algorithms, together with data gathered by operators, can bring to the cellular networks domain and fully enable the concept of SON in the near future
SDN-based Flexible Resource Management and Service-Oriented Virtualization for 5G Mobile Networks and Beyond
This thesis examines how Software Defined Network (SDN) and Network Virtualization (NV)
technologies can make 5G and beyond mobile networks more flexible, scalable and programmable
to support the performance demands of the emerging heterogeneous applications. In this direction,
concepts like mobile network slicing, multi-tenancy, and multi-connectivity have been
investigated and their performance is analyzed. The SDN paradigm is used to enable flexible
resource allocation to the end users, improve network resource utilization and avoid or rapidly
solve the network congestion problems. The proposed network architectures are 3rd Generation
Partnership Project (3GPP) standards compliant and integrate Open Network Foundation
(ONF) SDN specifications to ensure seamless interoperability between different standards and
backward/forward compatibility. Novel mechanisms and algorithms to efficiently manage the
resources of evolving 5G Time-Division Duplex (TDD) networks in a flexible manner are introduced.
These mechanisms enable formation of virtual cells on-demand which allows diverse
resource utilization from multiple eNBs to the users. Within the scope of this thesis, SDN-based
frameworks to enhance the QoE of end user applications considering Time Division-Long Term
Evolution (TD-LTE) small cells have also been developed and network resource sharing scenarios
with Frequency-Division Duplex (FDD)/TDD coexistence has been studied.
In addition, this thesis also proposes and investigates a novel service-oriented network
slicing concept for evolving 5G TDD networks which involve traffic prediction mechanisms
and includes user mobility. An analytical model is also introduced that formulates the network
slice resource allocation as a weighted optimization problem. The evaluations of the proposed
solutions are performed using 3GPP standard compliant simulation settings. The proposed
solutions have been compared with the state-of-the art schemes and the performance gains
offered by the proposed solutions have been demonstrated. Performance is evaluated considering
metrics such as throughput, delay, network resource utilization etc. The Mean Opinion
Score (MOS) metric is used for evaluating the Quality of Experience (QoE) for end-user applications.
With the help of SDN-based network management algorithms investigated in this work,
it is shown how 5G+ networks can be managed efficiently, while at the same time provide
enhanced flexibility and programmability to improve the performance of diverse applications
and services delivered over the network to the end users
- âŠ