1,067 research outputs found
A Survey of Green Networking Research
Reduction of unnecessary energy consumption is becoming a major concern in
wired networking, because of the potential economical benefits and of its
expected environmental impact. These issues, usually referred to as "green
networking", relate to embedding energy-awareness in the design, in the devices
and in the protocols of networks. In this work, we first formulate a more
precise definition of the "green" attribute. We furthermore identify a few
paradigms that are the key enablers of energy-aware networking research. We
then overview the current state of the art and provide a taxonomy of the
relevant work, with a special focus on wired networking. At a high level, we
identify four branches of green networking research that stem from different
observations on the root causes of energy waste, namely (i) Adaptive Link Rate,
(ii) Interface proxying, (iii) Energy-aware infrastructures and (iv)
Energy-aware applications. In this work, we do not only explore specific
proposals pertaining to each of the above branches, but also offer a
perspective for research.Comment: Index Terms: Green Networking; Wired Networks; Adaptive Link Rate;
Interface Proxying; Energy-aware Infrastructures; Energy-aware Applications.
18 pages, 6 figures, 2 table
Invited Abstract: A Simulation Package for Energy Consumption of Content Delivery Networks (CDNs)
Content Delivery Networks (CDNs) are becoming an integral part of the future
generation Internet. Traditionally, these networks have been designed with the
goals of traffic offload and the improvement of users' quality of experience
(QoE), but the energy consumption is also becoming an indispensable design
factor for CDNs to be a sustainable solution. To study and improve the CDN
architectures using this new design metric, we are planning to develop a
generic and flexible simulation package in OMNet++. This package is aimed to
render a holistic view about the CDN energy consumption behaviour by
incorporating the state-of-the-art energy consumption models proposed for the
individual elements of CDNs (e.g. servers, routers, wired and wireless links,
wireless devices, etc.) and for the various Internet contents (web pages,
files, streaming video, etc.).Comment: Published in: A. F\"orster, C. Minkenberg, G. R. Herrera, M. Kirsche
(Eds.), Proc. of the 2nd OMNeT++ Community Summit, IBM Research - Zurich,
Switzerland, September 3-4, 2015, arXiv:1509.03284, 201
Computing resource allocation in three-tier IoT fog networks: a joint optimization approach combining Stackelberg game and matching
Fog computing is a promising architecture to
provide economical and low latency data services for future
Internet of Things (IoT)-based network systems. Fog computing
relies on a set of low-power fog nodes (FNs) that are located
close to the end users to offload the services originally targeting
at cloud data centers. In this paper, we consider a specific
fog computing network consisting of a set of data service operators
(DSOs) each of which controls a set of FNs to provide the
required data service to a set of data service subscribers (DSSs).
How to allocate the limited computing resources of FNs to all
the DSSs to achieve an optimal and stable performance is an
important problem. Therefore, we propose a joint optimization
framework for all FNs, DSOs, and DSSs to achieve the optimal
resource allocation schemes in a distributed fashion. In the
framework, we first formulate a Stackelberg game to analyze
the pricing problem for the DSOs as well as the resource allocation
problem for the DSSs. Under the scenarios that the DSOs
can know the expected amount of resource purchased by the
DSSs, a many-to-many matching game is applied to investigate
the pairing problem between DSOs and FNs. Finally, within the
same DSO, we apply another layer of many-to-many matching
between each of the paired FNs and serving DSSs to solve
the FN-DSS pairing problem. Simulation results show that our
proposed framework can significantly improve the performance
of the IoT-based network systems
Factors of the development of digital economy in Ukraine and digital infrastructure components
The latest changes in the economy and society are causing changes in world economy. Todayβs economic concepts and categories are being replaced by new ones, which can be summarized as the emergence of new economy in the world β digital with its specific definitions, laws, models of world development, economic development as a science, as an industry that is gaining new momentum in history. In 21st century the interest of scientists and economists in digital transformation has increased significantly in economic research. After all, digitalization offers real opportunities for the growth of the economy of state
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