The ITU-T defined next generation network (NGN) architecture designates the resource admission control function to perform the application-driven Quality of Service (QoS) control across access and core networks. The Generalized Multiprotocol Label Switching (GMPLS) was introduced by the Internet Engineering Task Force (IETF) to cope with new traffic engineering challenges in fast optical networks and provide them with reliable end-to-end QoS mechanisms. However, an actual Connection Admission Control (CAC) implementation inside the resource reservation protocol -traffic engineering extension (RSVP-TE) in GMPLS networks does not provide the ability of effective decision making, since the applied threshold CAC lacks of the capability to consider QoS policies on GMPLS network nodes. This prevents an effective end-to-end QoS control in a fully dynamic, application driven Label Switched Path (LSP) setup scenario. This work presents a specific implementation of fuzzy-CAC operating over an RSVP-TE agent in GMPLS network domain. This fuzzy-CAC implementation is applied to a testbed where a client application requests a real-time data transfer through a GMPLS network, which results in dynamic LSP setup and exclusion. The admission control is performed upon service request based onQoS 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 differentiation is achieved in a multi-service network scenario and thus it validates fuzzy-CAC as candidate for RSVP-TE protocol enhancement for application driven QoS provisioning in GMPLS networks.

No abstract

In this investigation the new AggSess admission control (AC) algorithm is presented for use in GMPLS networks. AggSess AC algorithm is tested on simulated network model, on which classical threshold AC algorithm is compared to the AggSess AC implementation. Main QoS characteristics are analyzed, experimental data are depicted and future research subjects are described. Ill. 6, bibl. 7, tabl. 2 (in English; abstracts in English and Lithuanian).A. Skrastins, J. Jelinskis, G. Lauks. Atrankinė agreguota seanso kontrolė GMPLS tinkluose su rezervuojama QoS // Elektronika ir elektrotechnika. -Kaunas: Technologija, 2012. -Nr. 6(122). -P. 75-78.Pateikiamas AggSess prieigos kontrolės (PK) algoritmas, skirtas naudoti GMPLS tinkluose. AggSess PK algoritmas testuotas naudojant tinkle modelį, kuriame klasikinis slenksčio PK algoritmas palygintas su AggSess PK implementacija. Nagrinėtos pagrindinės QoS charakteristikos, atvaizduoti eksperimentiniai duomenys ir apibrėžta tolesnių tyrimų tematika. Il. 6, bibl. 7, lent. 2 (anglų kalba; santraukos anglų ir lietuvių k.).

The paper presents an overview of widely accepted passive optical networks (PONs), and provides the results of comparative OPTSIM simulation for PON technological facilities involving optical layers, with the aim to reveal fiber-to-the-x (FTTx) technologic solutions. Traffic load is simulated over a PON optical layer using the OPNET Modeler to determine potential advantages and drawbacks of the proposed FTTx solution with PON elements in the access networks. The authors show that the optimal transmission speed for PON FTTx would lie in the range 1.25-5.0 Gbit/s with a standard PON architecture, which could be raised to 10 Gbit/s, however in this case we have to change the end user's equipment. In standards that specify the PON's functionality two distances: 10 km and 20 km are indicated. Our simulation shows that, after upgrading the receiver electrical filter, 10 Gbit/s transmissions over 40 km could be reached.

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.