Standardizing a reference model and autonomic network architectures for the self-managing future internet

IEEE Network ◽  
2011 ◽  
Vol 25 (6) ◽  
pp. 50-56 ◽  
Author(s):  
Michal Wodczak ◽  
Tayeb Ben Meriem ◽  
Benoit Radier ◽  
Ranganai Chaparadza ◽  
Kevin Quinn ◽  
...  
Keyword(s):  
Reference Model ◽  
Future Internet ◽  
The Self ◽  
Network Architectures

CORM

2012 ◽  
pp. 174-201
Author(s):  
Hoda Mamdouh Hassan
Keyword(s):  
Complex System ◽  
Network Design ◽  
Computer Networks ◽  
Reference Model ◽  
Network Architectures ◽  
Engineering Approach ◽  
Engineering Discipline ◽  
Technological Constraints ◽  
System Characteristics ◽  
Derivation Process

Designing future computer networks dictates an eclectic vision capable of encompassing ideas and concepts developed in contemporary research unfettered by today’s operational and technological constraints. However, unguided by a clear articulation of core design principles, the process of network design may be at stake of falling into similar pitfalls and limitations attributed to current network realizations. This chapter presents CORM: a clean-slate Concern-Oriented Reference Model for architecting future computer networks. CORM stands as a guiding framework from which several network architectures can be derived. CORM represents a pioneering attempt within the network realm, and to the author’s knowledge, CORM is the first reference model that is bio-inspired, accounts for complex system characteristics, and applies a software engineering approach to network design. Moreover, CORM’s derivation process conforms to the Function-Behavior-Structure (FBS) engineering framework, which is credited to be applicable to any engineering discipline for reasoning about, and explaining the process of design.

scholarly journals A Review of Advanced Algebraic Approaches Enabling Network Tomography for Future Network Infrastructures

2020 ◽  
Vol 12 (2) ◽  
pp. 20 ◽  
Author(s):  
Grigorios Kakkavas ◽  
Despoina Gkatzioura ◽  
Vasileios Karyotis ◽  
Symeon Papavassiliou
Keyword(s):  
Network Coding ◽  
Technology Development ◽  
Network Monitoring ◽  
Future Internet ◽  
Network Architectures ◽  
Network Tomography ◽  
Fundamental Operation ◽  
Qualitative Comparison ◽  
Algebraic Approaches

Network tomography has emerged as one of the lean approaches for efficient network monitoring, especially aiming at addressing the ever-increasing requirements for scaling and efficiency in modern network architectures and infrastructures. In this paper, we explore network coding and compressed sensing as enabling technologies in the context of network tomography. Both approaches capitalize on algebraic tools for achieving accuracy while allowing scaling of operation as the size of the monitored network increases. Initially, a brief overview of the tomographic problems and the related classification of methods is provided to better comprehend the problems encountered and solutions provided to date. Subsequently, we present representative approaches that employ either one of the aforementioned technologies and we comparatively describe their fundamental operation. Eventually, we provide a qualitative comparison of features and approaches that can be used for further research and technology development for network monitoring in future Internet infrastructures.

Monitoring in Federated and Self-Manageable Clouds

2012 ◽  
pp. 117-133
Author(s):  
Stefanos Koutsoutos ◽  
Spyridon V. Gogouvitis ◽  
Dimosthenis Kyriazis ◽  
Theodora Varvarigou
Keyword(s):  
Decision Making ◽  
Future Internet ◽  
Minimum Time ◽  
The Self ◽  
Current Trends ◽  
The Future

The emergence of Service Clouds and the Future Internet has lead to a lot of research taking place in the area of Cloud frameworks and solutions. The complexity of these systems has proven to be a challenge for the design of a successful platform that will be capable of meeting all possible needs and require the minimum time and effort put to its management. Current trends in the field move away from models of human managed networks and towards the self-manageable, cooperating Clouds. This goal is synonymous to building software that is able to make decisions required to reconfigure itself in a way that it resists failures and, at the same time, makes optimal use of the resources available to it. The heart of each decision making mechanism is always the data that is fed to it, which assigns a very central role to Monitoring mechanisms in federated and self-manageable Clouds.

A NEW METHOD FOR FACIAL FEATURES QUANTIFICATION OF CARICATURE BASED ON SELF-REFERENCE MODEL

2008 ◽  
Vol 22 (08) ◽  
pp. 1647-1668 ◽  
Author(s):  
FEI NI ◽  
ZHUANG FU ◽  
QIXIN CAO ◽  
YANZHENG ZHAO
Keyword(s):  
Reference Model ◽  
Face Image ◽  
The Self ◽  
New Method ◽  
Front Face ◽  
Facial Features ◽  
Face Model ◽  
Input Face ◽  
Facial Images ◽  
Self Reference

Some facial features that differ from an ordinary face should be identified by a computer when generating a facial caricature. These distinctive facial features are called self-features. Compared with traditional Mean Face Model (MFM) that is unable to quantify these self-features well, a Self-Reference Model (SRM) is presented in this paper. Firstly, based on the physiology structure of a front face, a self-reference is found, and this reference is used to measure the self-features. According to the self-reference, some standard facial parameters are worked out by collecting statistic data of many facial images. Then, in an input face image, by evaluating some differences between the input face and the standard facial parameters, the self-features are properly estimated and quantified. Finally, by analyzing some caricatures produced by caricaturists, the SRM can prove the validity of the proposed Algorithm.

Communication Protocols for the Internet of Things

2018 ◽  
pp. 159-191
Author(s):  
S. Umamaheswari
Keyword(s):  
Internet Of Things ◽  
Low Power ◽  
Reference Model ◽  
Task Force ◽  
Future Internet ◽  
Local Network ◽  
The Internet ◽  
Lossy Networks ◽  
Smart Objects ◽  
The Internet Of Things

The future internet is expected to be an internet of things (IoT) that makes a huge increase in its capability to collect, investigate, and distribute data that can be turned into information or knowledge. The changeover to IPv6, having a common set of standards and developing energy sources for millions of minute sensors, are the challenges of IoT. The environment can be made smart and self-aware by the direct communication between more and more devices that are part of the IoT. The low power lossy networks (LLNs) that consist of more tiny sensors and low power devices are the elements of the IoT. The TCP/IP reference model is used for the internet connectivity, which is not exactly suited for the network that uses smart objects. There is a need to connect the local network that has the smart objects to the internet. The Internet Engineering Task Force (IETF) has come out with the standardized protocols like 6LoWPAN, RPL, COAP, etc. This chapter provides the various protocols used in the internet of things network with their specifications, benefits, and limitations.

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