LCR Solution for Performance and Cost-efficient
Inter-domain Traffic Distribution
Mirosław Kantor, Piotr Chołda, and Andrzej Jajszczyk
Department of Telecommunications, AGH University of Science and Technology
30-059 Krakow, Poland, Telephone: (+48 12) 617–28–52, Fax: (+48 12) 634–23–72
E-mails:{kantor, cholda, jajszczyk}@kt.agh.edu.pl
Abstract— In the highly connected Internet most of domains
have more than one interconnection link to different providers. In
such a multi-homed scenario destinations for inter-domain traffic
may be reachable through multiple egress routers with different
offered cost and path performance. In this paper, we address
the problem of route selection in a multi-homed stub network to
optimize transit costs and paths performance offered by operator
to its customers. As the indicators of quality of service (QoS)
related to interconnections and routes offered by interconnected
partners we consider a length of AS-path (Autonomous System)
and latency experienced on that path as measured by round-trip-
time (RTT ). We present some QoS optimization models together
with heuristic algorithms to solve the problem. To evaluate the
performance of the proposed optimization models a Least Cost
Routing (LCR) solution supporting optimal routing decisions has
been used. The results indicate that taking into account both
cost and performance is crucial for assuring the satisfied level of
service for end-users with optimized cost for the operator.
I. I NTRODUCTION
Development of Next Generation Networks leads to a
multiservice transport layer within a multi-domain environ-
ment. To be able to interconnect with the entire world every
Internet Service Provider (ISP) needs to have some business
agreements with transit providers. As the number of potential
interconnection partners increases, multihomed operators face
more and more routing alternatives for sending and receiv-
ing traffic. Operators also require the ability to ensure that
connections in their networks are routed according to the
optimal route to maximize their income and assure the required
level of service performance for their customers. Although
the primary purpose of multi-homing is to enhance reliability
of the network, it is also desirable to use multi-homing for
load-balancing and latency reduction. In this paper, we address
the problem of ‘intelligent’ route selection in a multi-homed
stub network in order to to optimize network latency to
various destinations as measured by round-trip-time (RTT )
together with transit cost minimization. As different providers
show different latencies for the same destinations, a dynamic
provider selection based on delay measurements can result
in significant performance improvements. However, the inter-
domain traffic engineering is commonly applied today in a
trial-and-error only fashion. Therefore, the need for developing
algorithms supporting the choice of optimal interconnection
routes becomes crucial. In the paper, we present the results
of using the Least Cost Routing (LCR) solution [1]. The
LCR tool, with implemented heuristic algorithms, finds the
optimal route configurations for all transit traffic, assigning
the most appropriate Point of Interconnections (POIs), i.e.,
egress routers, for each of the traffic flows. Thus, the operator
obtains a network configuration table that can be manually or
automatically implemented into the network control systems.
The reminder of this paper is organized as follows. Sec-
tion II of this paper presents an overview of papers dealing
with optimization of cost and performance for multihoming. In
Section III, connection model and used QoS parameters are
described. Mathematical models and optimization heuristics
are given is Section IV. The scenario assumptions and perfor-
mance evaluation of proposed QoS optimization heuristics are
presented in Section V. Section VI summarizes the work.
II. RELATED WORK
There are some books that cover modeling and optimization
methods for problem of optimal distribution of inter-domain
traffic among available interconnection partners, e.g., [2]
which is an authoritative reference on communication and
computer network design through mathematical optimization-
oriented modeling. The LCR problem was also analyzed
in some papers. The interdomain routing issues from the
mechanism design point of view are presented in [3]. In [4]
the problem of provisioning end-to-end bandwidth guarantees
across multiple ASes is analyzed. There are also a few research
studies on smart routing, e.g., [5], [6] where the focus of these
studies is on network performance. User costs being another
major incentive to use multihoming, are considered, e.g., in [7]
where a series of novel smart routing algorithms to optimize
the cost and performance for multihomed users was proposed.
III. CONNECTION MODEL
A general considerd connection model is presented in Fig-
ure 1. A multi-domain communication network is represented
by a set of POI nodes (egress routers) which represent the
gateways between domains and a set of abstract nodes p ∈ P
corresponding to interconnection partners. Some parameters
are related to each POI, e.g., the tariff (related to POI inter-
faces) and the capacity. By the capacity in this context we
mean the maximum traffic volume which can be sent through
the partner, POI or interface during a considered time period
(e.g., a month, a day, an hour, etc.). This limitation can result
from technical constraints of particular locations (e.g., the
interconnection link bandwidth).
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