10 research outputs found
Enabling Correct Interest Forwarding and Retransmissions in a Content Centric Network
We show that the mechanisms used in the name data networking (NDN) and the
original content centric networking (CCN) architectures may not detect Interest
loops, even if the network in which they operate is static and no faults occur.
Furthermore, we show that no correct Interest forwarding strategy can be
defined that allows Interest aggregation and attempts to detect Interest
looping by identifying Interests uniquely. We introduce SIFAH (Strategy for
Interest Forwarding and Aggregation with Hop-Counts), the first Interest
forwarding strategy shown to be correct under any operational conditions of a
content centric network. SIFAH operates by having forwarding information bases
(FIBs) store the next hops and number of hops to named content, and by having
each Interest state the name of the requested content and the hop count from
the router forwarding an Interest to the content. We present the results of
simulation experiments using the ndnSIM simulator comparing CCN and NDN with
SIFAH. The results of these experiments illustrate the negative impact of
undetected Interest looping when Interests are aggregated in CCN and NDN, and
the performance advantages of using SIFAH
A Light-Weight Forwarding Plane for Content-Centric Networks
We present CCN-DART, a more efficient forwarding approach for content-centric
networking (CCN) than named data networking (NDN) that substitutes Pending
Interest Tables (PIT) with Data Answer Routing Tables (DART) and uses a novel
approach to eliminate forwarding loops. The forwarding state required at each
router using CCN-DART consists of segments of the routes between consumers and
content providers that traverse a content router, rather than the Interests
that the router forwards towards content providers. Accordingly, the size of a
DART is proportional to the number of routes used by Interests traversing a
router, rather than the number of Interests traversing a router. We show that
CCN-DART avoids forwarding loops by comparing distances to name prefixes
reported by neighbors, even when routing loops exist. Results of simulation
experiments comparing CCN-DART with NDN using the ndnSIM simulation tool show
that CCN-DART incurs 10 to 20 times less storage overhead
ADN: An Information-Centric Networking Architecture for the Internet of Things
Forwarding data by name has been assumed to be a necessary aspect of an
information-centric redesign of the current Internet architecture that makes
content access, dissemination, and storage more efficient. The Named Data
Networking (NDN) and Content-Centric Networking (CCNx) architectures are the
leading examples of such an approach. However, forwarding data by name incurs
storage and communication complexities that are orders of magnitude larger than
solutions based on forwarding data using addresses. Furthermore, the specific
algorithms used in NDN and CCNx have been shown to have a number of
limitations. The Addressable Data Networking (ADN) architecture is introduced
as an alternative to NDN and CCNx. ADN is particularly attractive for
large-scale deployments of the Internet of Things (IoT), because it requires
far less storage and processing in relaying nodes than NDN. ADN allows things
and data to be denoted by names, just like NDN and CCNx do. However, instead of
replacing the waist of the Internet with named-data forwarding, ADN uses an
address-based forwarding plane and introduces an information plane that
seamlessly maps names to addresses without the involvement of end-user
applications. Simulation results illustrate the order of magnitude savings in
complexity that can be attained with ADN compared to NDN.Comment: 10 page
Content-Centric Networking at Internet Scale through The Integration of Name Resolution and Routing
We introduce CCN-RAMP (Routing to Anchors Matching Prefixes), a new approach
to content-centric networking. CCN-RAMP offers all the advantages of the Named
Data Networking (NDN) and Content-Centric Networking (CCNx) but eliminates the
need to either use Pending Interest Tables (PIT) or lookup large Forwarding
Information Bases (FIB) listing name prefixes in order to forward Interests.
CCN-RAMP uses small forwarding tables listing anonymous sources of Interests
and the locations of name prefixes. Such tables are immune to Interest-flooding
attacks and are smaller than the FIBs used to list IP address ranges in the
Internet. We show that no forwarding loops can occur with CCN-RAMP, and that
Interests flow over the same routes that NDN and CCNx would maintain using
large FIBs. The results of simulation experiments comparing NDN with CCN-RAMP
based on ndnSIM show that CCN-RAMP requires forwarding state that is orders of
magnitude smaller than what NDN requires, and attains even better performance
Efficient multicasting in Content-Centric Networks using locator-based Forwarding state
The Named Data Networking (NDN) and Content- Centric Networking (CCNx) architectures use a forwarding plane that requires large Forwarding Information Bases (FIB) listing the next hops to name prefixes and Pending Interest Tables (PIT) that maintain per-Interest forwarding state. We introduce CCN- RAMP (Routing to Anchors Matching Prefixes), a new approach to content-centric networking that substitutes the large FIBs and PITs used in NDN and CCNx with small forwarding tables listing anonymous sources of Interests and routers that announce name prefixes being local. The results of simulation experiments comparing NDN with CCN-RAMP based on ndnSIM show that CCN-RAMP requires forwarding state that is orders of magnitude smaller than what NDN requires, and attains smaller end-to-end delays in the dissemination of multicast content to consumers
An efficient pending interest table control management in named data network
Named Data Networking (NDN) is an emerging Internet architecture that employs a new network communication model based on the identity of Internet content. Its core component, the Pending Interest Table (PIT) serves a significant role of recording Interest packet information which is ready to be sent but in waiting for matching Data packet. In managing PIT, the issue of flow PIT sizing has been very challenging due to massive use of long Interest lifetime particularly when there is no flexible replacement policy, hence affecting PIT performance. The aim of this study is to propose an efficient PIT Control Management (PITCM) approach to be used in handling incoming
Interest packets in order to mitigate PIT overflow thus enhancing PIT utilization and
performance. PITCM consists of Adaptive Virtual PIT (AVPIT) mechanism, Smart Threshold Interest Lifetime (STIL) mechanism and Highest Lifetime Least Request (HLLR) policy. The AVPIT is responsible for obtaining early PIT overflow prediction and reaction. STIL is meant for adjusting lifetime value for incoming Interest packet while HLLR is utilized for managing PIT entries in efficient manner. A specific research
methodology is followed to ensure that the work is rigorous in achieving the aim of the study. The network simulation tool is used to design and evaluate PITCM. The results of study show that PITCM outperforms the performance of standard NDN PIT with 45% higher Interest satisfaction rate, 78% less Interest retransmission rate and 65% less Interest drop rate. In addition, Interest satisfaction delay and PIT length is reduced significantly to 33% and 46%, respectively. The contribution of this study is important for Interest packet management in NDN routing and forwarding systems. The AVPIT and STIL mechanisms as well as the HLLR policy can be used in monitoring,
controlling and managing the PIT contents for Internet architecture of the future
Recommended from our members
Enabling Correct Interest Forwarding and Retransmissions in a Content Centric Network
We show that the mechanisms used in the name data networking (NDN) and the original content centric networking (CCN) architectures may not detect Interest loops, even if the network in which they operate is static and no faults occur. Furthermore, we show that no correct Interest forwarding strategy can be defined that allows Interest aggregation and attempts todetect Interest looping by identifying Interests uniquely. We introduce SIFAH (Strategy for Interest Forwarding and Aggregation with Hop-Counts), the first Interest forwarding strategy shown to be correct under any operational conditions of a content centric network. SIFAH operates by having forwarding information bases (FIBs) store the next hops and number of hops to named content, and by having each Interest state the name of the requested content and the hop count from the router forwarding an Interest to the content. We present the results of simulation experiments using the ndnSIM simulator comparing CCN and NDN with SIFAH. The results of these experiments illustrate the negative impact of undetected Interest looping when Interests are aggregated in CCN and NDN, and the performance advantages of using SIFAH