A. Skrastins

Fuzzy-CAC driven MPLS-TE realization

The Multiprotocol Label Switching - Traffic Engineering Extension (MPLS-TE) was introduced by the Internet Engineering Task Force (IETF) to ensure traffic engineering over MPLS. However, an actual Connection Admission Control (CAC) implementation inside the resource reservation protocol - traffic engineering extension (RSVP-TE) in MPLS-TE networks does not provide the ability of effective decision making, since the applied threshold CAC lacks of the capability to consider QoS policies on MPLS-TE network nodes. This prevents an effective end-to-end QoS control in a fully dynamic, application driven Label Switched Path (LSP) setup scenario. Current paper presents the practical fuzzy-CAC driven MPLS-TE realization, which is based on the specific implementation of fuzzy-CAC algorithm over an RSVP-TE agent. Fuzzy-CAC implementation is applied to a testbed where a client application requests a real-time data transfer through the MPLS-TE network, which results in dynamic LSP setup and exclusion. The admission control is performed upon service request based on QoS class requirements and network resource availability. The differentiated traffic treatment on per-flow basis is realized through employment of IF-THEN rule based expert knowledge. Effective traffic management is achieved in a best and worst case scenarios and thus, it validates fuzzy-CAC as a candidate for RSVP-TE protocol enhancement for application driven QoS provisioning in MPLS-TE networks and Generalized Multiprotocol Label Switching (GMPLS) networks in the nearest future.

Comprehensive analysis of AggSessAC method for revenue maximization using OMNeT

The growing demand for Internet connection of various devices with an ability to provide smarter online services and the rapid growth of mobile applications significantly increases the number of processed data flows. All the generated flows require selective and priority-based flow admission strategy. Network operators are interested in effective utilization of their infrastructure as well as in minimizing rejection probability of higher priority flows while maximizing their revenue, especially in peak hours. The existing connection admission control (CAC) schemes are largely based on serialized processing strategies of new flows without any comparison among consequent requests. However, evolution of Internet and present performance capabilities of routers allows us to offer a new approach for admission control - our developed Aggregated Session Admission Control (AggSessAC). We propose to handle service requests using a new operation paradigm of CAC, where requests are temporarily collected and processed using mutually comparisons among them, thus facilitating selectivity and ensuring network revenue maximization as well as operator gain. In order to evaluate the proposed algorithm, OMNeT++ simulation platform with the INET Framework was used and a new output queue of router has been developed including all relevant entities of proposed admission control. Simulation results are compared with conventional threshold admission control method, which only uses available link bandwidth for decision-making process and serialized flow processing strategy. The proposed method shows that selective and comparative flow control allows maximizing the number of accepted higher priority flows and is able to significantly increase the total network revenues in peak hours, compared to the standard threshold based approach. We assume that AggSessAC can be effectively used as the potential admission control mechanism in Next Generation Networks (NGN).

Priority-based Session Admission Control method for next generation Internet

The growing demand for Internet connection rapid growth increases the number of processed data flows. Connection admission control (CAC) policies realized by network operators require selective and priority-based connection processing strategy. An existing CAC solutions do not provide the ability to analyze multiple connection requests for the same decision-making moment, therefore lacks a comparative assessment among closely following requests and the current CAC together with DiffServ solution allows to realize only packet-level priority-based admission control. In this paper we argue that it is necessary to change new connection processing mechanisms of existing CAC solutions enabling comparison among concurrent sessions, as result, to realize session-level priority-based admission policy. Analysis of session-level Internet traffic demonstrate that lifetime of around 80% of flows is 3 – 6 seconds and the high intensity of new connection requests is one of the preconditions that allowed to offer a new approach to admission control solution for high-speed (gigabit) internet links. An experimental prototype of proposed admission control was realized on router available in the INET framework, by creating an experimental prototype for evaluation in the OMNeT++ simulation environment. The results show that the selectivity and choice possibilities in decision-making contribute to approval of different type of sessions and provide a strong ability to realize the priority-based management policy if compared with existed CAC approaches.

Admission control scheme for effective revenue management in NGN networks

Current paper presents some issues on impact of adjusting the proposed Aggregated Session Admission Control (AggSessAC) algorithm to its overall effectiveness and performance. The main objective of AggSessAC is to maximize total revenue from network serving demands. This method provides the possibility of selective and mutually comparative admission control at the cost of acceptable momentary waiting time delay, which is induced while all new aggregating demands are captured into the bundle. The simulations studies are implemented by using OMNeT++. Multiple simulation scenarios were performed to get a better understanding of the performance characteristics of the applied solution.

Analysis of effective fuzzy-CAC solution for proactive traffic engineering

Actual Connection Admission Control (CAC) implementation inside the RSVP-TE protocol in MPLS-TE networks is highly limited, since the applied threshold CAC cannot provide Quality of Service (QoS) aware decision making on MPLS-TE network nodes. This prevents an effective end-to-end QoS control in a fully dynamic, application driven Label Switched Path (LSP) setup scenario. Authors of this paper have developed effective and flexible Fuzzy logic driven CAC solution (Fuzzy-CAC) which is capable of sustaining the parameters of QoS within the accepted limits and provide the dynamic setup of an application-controlled LSP. In this paper we present basic results as well as more in details discuss several adaptation approaches that help Fuzzy-CAC to operate under rapidly changing traffic characteristics.

Practical Fuzzy-CAC Realization for Effective Traffic Engineering in MPLS-TE Networks

Voice over IP (VoIP), and especially IPTV and Video on Demand (VoD) applications are gaining an ever increasing popularity these days [1], reinforced by the massive deployment of wide range of the fast access technologies. Supporting these applications requires the effective QoS provisioning at all the relevant points in the Internet. The application driven traffic control is needed to achieve fully dynamic resource management manner, as it is defined as a basic concept of the NGN. MPLS-TE could serve as the brilliant solution for the future networks development strategy, which is mentioned to be QoS aware and concerning end-to-end provisioning, if the RSVP-TE were able to take into consideration possible application QoS requirements and network QoS potentialities. Today RSVP-TE uses classical threshold CAC algorithm while making decision whether to set-up new LSP or not, and is not able to provide selective flow control for dynamic LSP set-up. As the CAC decisions are reliable for such traffic oriented performance objectives as packet loss, delays, throughput maximization, enforcement of service level agreements (SLA), packet delay jitter etc., we have to pay great attention to the CAC decision making mechanisms which are utilized in MPSL-TE networks. The threshold CAC is not capable of making decisions in uncertain conditions, which are prevailingly persistent in the modern broadband networks [2]. The dynamic traffic demand in the fast changing environment and bursty background traffic practically eliminate the possibility of fast online reasoning, which in case of CAC decision making is even in the sub-second time scale [3]. Fuzzy logic serves as the excellent tool to cope with uncertain and multivariable data, this giving the flexibility and robustness for decision making while using IF-THEN fuzzy rules [4]. In this paper, we propose the practical fuzzy-CAC implementation to RSVP-TE protocol inside the MPLS-TE network, using fuzzy-CAC mechanism, which was introduces by authors of the current paper in multiple previous publications [5–7]. In papers mentioned above, one can find comprehensive description of fuzzy-CAC implementation based on simulation results, as well as fuzzy-CAC adaptation method descriptions for effective traffic control in MPLS/GMPLS network domains. In this paper we focus purely on fuzzy-CAC practical realization in MPLS-TE test network and provide experimental testbed description as well as the summary of the general practical results.