Integrating an Identity-Based Control Plane with the HIMALIS Network Architecture

Transcription

1 Integrating an Identity-Based Control Plane with the HIMALIS Network Architecture Pedro Martinez-Julia 1, Ved P. Kafle 2, Antonio F. Skarmeta 1 pedromj@um.es, kafle@nict.go.jp, skarmeta@um.es 1 Department of Communication and Information Engineering, University of Murcia, Spain 2 Photonic Network Research Institute, National Institute of Information and Communication Technology (NICT), Tokyo, Japan IEEE NetSoft 2015, April 2015

2 Outline Motivation Overview of the HIMALIS Network Architecture Research Objectives Integration Approach Evaluation Scenario Evaluation Methodology Results Discussion Conclusions and Future Work

3 Motivation Background: But: Therefore: The raise of Software Defined Networking (SDN) opens a wide spectrum of improvements for network architectures for the Future Internet (FI). The HIMALIS architecture is designed to overcome mobility and multi-homen problems in big networks, such as the Internet. The HIMALIS network architecture would benefit from some degree of coupling with both SDN mechanisms and an identity-based control plane. Its general operation can be improved by leveraging dynamic but centralized knowledge of the network and its status. We claim that integrating HIMALIS with an identity-based control plane results in an improved operation (specially reflected in the reduction of time required for handover operations). Through the integration of such new control plane, which is built on top of current SDN mechanisms, the deployment of HIMALIS on current and future networks is simplified.

4 Overview of the HIMALIS Network Architecture (I)

5 Overview of the HIMALIS Network Architecture (II) HIMALIS enables communications over heterogeneous underlying networks with emphasis in mobile nodes. It follows the identifier/locator separation design principle. Its view of the network includes several edge (or access) networks and a global transit network. Its main components are: The Host Name Registry (HNR) provides the resolution of host IDs to network locators. The Domain Name Registry (DNR) resolves HNR locators. The Local Name Server (LNS) caches resolutions in the local network. The Authentication Agent/Registrant (AAR) addesses security issues (mainly access control). The connection between access networks and the global transit network is performed by particular gateways under the control of HIMALIS.

6 Research Objectives Design an approach to integrate HIMALIS with SDN mechanisms by the inclusion of an identity-based control plane that moves HIMALIS control functions from the data plane to the control plane. Design and execute an evaluation scenario to study the proposed approach working on general handover operations. Analyze the results of the evaluation to demonstrate our claims.

7 Integration Approach (I)

8 Integration Approach (II) The integrated approach qualities are: The control plane functions of HIMALIS are moved to the control plane by the design and implementation of a new controller module (split into agent and controller) that interfaces between HIMALIS elements and the SDN controller. HIMALIS elements do not lose their role. They are separated but tied to the controller. The knowledge about network hosts, their status, and the control operations they perform is concentrated in the controller. Such knowledge allows the controller to determine the actions to take into the network in the most efficient way possible.

9 Evaluation Scenario (I)

10 Evaluation Scenario (II) The main remarks of the evaluation scenario are: The scenario comprises six different networks: Five edge (access) networks. A global interconnection network. Edge networks are attached to the interconnection network by means of gateways (specifically defined by HIMALIS and our approach). Two host elements with their corresponding applications are instantiated as client and server. Specific elements from HIMALIS and our approach are instantiated where required. The same topology is used to evaluate both HIMALIS and our approach.

11 Evaluation Methodology To demonstrate our claims we have to demonstrate that the handover operations are actually improved. We have designed simulation models for both plain HIMALIS and our proposed approach. The running models have been constructed with the simulation framework provided by SimPy, which provides the ability to build discrete event simulators with the Python programing language. Both models for plain HIMALIS and the proposed approach have parallel elements and are based on the same underlying elements, so we are sure that the results are comparable. In addition, we have designed a set of generic applications to be used with either model to perform the evaluation.

12 Results (I) Handover time for the simulation scenario using hard handover operations.

13 Results (II) Handover time for the simulation scenario using SOFT handover operations.

14 Discussion (I) From the results of the evaluation we can highlight that: The proposed approach outperforms plain HIMALIS by a considerable amount of time: More than 90% of client handover operations have required less than 70 ms for the proposed approach, while the original approach requires more than 150 ms for the 80% of the operations. In the case of servers, the proposed approach requires less than 100 ms for more than 90% of the operations while the original approach requires more than 200 ms for more than 90% of handover operations. Clients require less time to complete a handover because servers and their networks are busy with the processing of data messages.

15 Discussion (II) From the results of the evaluation we can highlight that: There are 20% of operations where HIMALIS outperforms the proposed approach due to the occasions when the client and server and in the same network. In general, the proposed approach requires an average of ms to complete a handover while the best case of the original HIMALIS architecture requires an average of ms. Moving HIMALIS control messages to a separate control plane can really improve its operation, specially with complex operations such as handover.

16 Conclusions and Future Work We demonstrated our claims by evaluating the proposed solution against plain HIMALIS through comprehensible simulation models. The results from the evaluation demonstrate that the handover operations are highly improved for the majority of cases. For the future work we plan to finish the adaptation of the HIMALIS implementation to work with the proposed integration and scheme, so we can evaluate it in the real network and typical experimentation infrastructures.

17 THANKS FOR YOUR ATTENTION

18 EOF