81 research outputs found
Exploiting Information-centric Networking to Federate Spatial Databases
This paper explores the methodologies, challenges, and expected advantages
related to the use of the information-centric network (ICN) technology for
federating spatial databases. ICN services allow simplifying the design of
federation procedures, improving their performance, and providing so-called
data-centric security. In this work, we present an architecture that is able to
federate spatial databases and evaluate its performance using a real data set
coming from OpenStreetMap within a heterogeneous federation formed by MongoDB
and CouchBase spatial database systems
Internames: a name-to-name principle for the future Internet
We propose Internames, an architectural framework in which names are used to
identify all entities involved in communication: contents, users, devices,
logical as well as physical points involved in the communication, and services.
By not having a static binding between the name of a communication entity and
its current location, we allow entities to be mobile, enable them to be reached
by any of a number of basic communication primitives, enable communication to
span networks with different technologies and allow for disconnected operation.
Furthermore, with the ability to communicate between names, the communication
path can be dynamically bound to any of a number of end-points, and the
end-points themselves could change as needed. A key benefit of our architecture
is its ability to accommodate gradual migration from the current IP
infrastructure to a future that may be a ubiquitous Information Centric
Network. Basic building blocks of Internames are: i) a name-based Application
Programming Interface; ii) a separation of identifiers (names) and locators;
iii) a powerful Name Resolution Service (NRS) that dynamically maps names to
locators, as a function of time/location/context/service; iv) a built-in
capacity of evolution, allowing a transparent migration from current networks
and the ability to include as particular cases current specific architectures.
To achieve this vision, shared by many other researchers, we exploit and expand
on Information Centric Networking principles, extending ICN functionality
beyond content retrieval, easing send-to-name and push services, and allowing
to use names also to route data in the return path. A key role in this
architecture is played by the NRS, which allows for the co-existence of
multiple network "realms", including current IP and non-IP networks, glued
together by a name-to-name overarching communication primitive.Comment: 6 page
"5G Densification Increases Human Exposure to Radio-Frequency Pollution": True or False?
A very popular theory circulating among non-scientific communities claims
that the massive deployment of 5G base stations over the territory, a.k.a. 5G
densification, always triggers an uncontrolled and exponential increase of
human exposure to Radio Frequency "Pollution" (RFP). To face such concern in a
way that can be understood by the layman, in this work we develop a very simple
model to compute the RFP, based on a set of worst-case and conservative
assumptions. We then provide closed-form expressions to evaluate the RFP
variation in a pair of candidate 5G deployments, subject to different
densification levels. Results, obtained over a wide set of representative 5G
scenarios, dispel the myth: 5G densification triggers an RFP decrease when the
radiated power from the 5G base stations is adjusted to ensure a minimum
sensitivity at the cell edge. Eventually, we analyze the conditions under which
the RFP may increase when the network is densified (e.g., when the radiated
power does not scale with the cell size), proving that the amount of RFP is
always controlled. Finally, the results obtained by simulation confirm the
outcomes of the RFP model
Will the Proliferation of 5G Base Stations Increase the Radio-Frequency "Pollution"?
A common concern among the population is that installing new 5G Base Stations
(BSs) over a given geographic region may result in an uncontrollable increase
of Radio-Frequency "Pollution" (RFP). To face this dispute in a way that can be
understood by the layman, we develop a very simple model, which evaluates the
RFP at selected distances between the user and the 5G BS locations. We then
obtain closed-form expressions to quantify the RFP increase/decrease when
comparing a pair of alternative 5G deployments. Results show that a dense 5G
deployment is beneficial to the users living in proximity to the 5G BSs, with
an abrupt decrease of RFP (up to three orders of magnitude) compared to a
sparse deployment. We also analyze scenarios where the user equipment minimum
detectable signal threshold is increased, showing that in such cases a (slight)
increase of RFP may be experienced.Comment: Cite as: Luca Chiaraviglio, Giuseppe Bianchi, Nicola Blefari-Melazzi,
Marco Fiore, Will the Proliferation of 5G Base Stations Increase the
Radio-Frequency "Pollution"?, IEEE 91st Vehicular Technology Conference
(VTC-Spring), Antwerp, Belgium, May 202
- …