Flow management for QoS-controlled 'data connectivity' provisioning

The paper describes a management-oriented model for cost-effective 'data connectivity' provisioning between the peer entities of a networked multimedia application. The service provider (SP) may employ policy functions to map the application-prescribed flow specs onto the resource needs of connections carrying data flows. The model allows dynamic switching from one policy function to another, based on a notion of cost associated with the infrastructure resource usage, namely, the network bandwidth, for a given level of connectivity provisioning. Our strategy is to reduce the per-flow cost incurred by multiplexing many closely similar data flows on a single connection. The multiplexing brings in two benefits to the SP, without compromising the QoS needs of applications. First, it reduces the per-flow resource allocation due to the gains accrued from a statistical sharing of connection resources. Second, it amortizes the connection-level overhead across many flows. The level of cost reduction, and hence the revenue accrual, can be controlled by the SP using a range of policy functions that take into account the burstiness and loss/delay tolerance of data flows. The paper describes the functional mechanisms and signaling structures to realize our model of connectivity services. We have conducted studies of different types QoS-controlled data connections based on traffic measurements and simulation analysis to validate the model. The model can be easily incorporated into the TMN and DCOM frameworks that have been standardized for network service offerings.

[1]  M. Subramanian,et al.  Network Management Principles and Practice , 2000 .

[2]  Hui Zhang,et al.  Endpoint admission control: architectural issues and performance , 2000, SIGCOMM 2000.

[3]  Soung Chang Liew,et al.  Lossless Aggregation: A Scheme for Transmitting Multiple Stored VBR Video Streams over a Shared Communications Channel Without Loss of Image Quality , 1997, IEEE J. Sel. Areas Commun..

[4]  John Wroclawski,et al.  Specification of the Controlled-Load Network Element Service , 1997, RFC.

[5]  Eun-Chan Park,et al.  Proportional bandwidth allocation in DiffServ networks , 2004, IEEE INFOCOM 2004.

[6]  Ketan Mayer-Patel,et al.  Aggregate congestion control for distributed multimedia applications , 2004, IEEE INFOCOM 2004.

[7]  Jeffrey K. MacKie-Mason,et al.  Pricing Congestible Network Resources (Invited Paper) , 1995, IEEE J. Sel. Areas Commun..

[8]  Ariel Orda,et al.  QoS routing in networks with inaccurate information: theory and algorithms , 1999, TNET.

[9]  John N. Tsitsiklis,et al.  Statistical Multiplexing of Multiple Time-Scale Markov Streams , 1995, IEEE J. Sel. Areas Commun..

[10]  Karsten Schwan,et al.  QUIC: a quality of service network interface layer for communication in NOWs , 1999, Proceedings. Eighth Heterogeneous Computing Workshop (HCW'99).

[11]  Lilla Böröczky,et al.  Statistical multiplexing using MPEG-2 video encoders , 1999, IBM J. Res. Dev..

[12]  Geoffrey G. Xie,et al.  SAAM: an integrated network architecture for integrated services , 1998, 1998 Sixth International Workshop on Quality of Service (IWQoS'98) (Cat. No.98EX136).

[13]  Ion Stoica,et al.  Providing guaranteed services without per flow management , 1999, SIGCOMM '99.

[14]  Thomas R. Gross,et al.  ReMoS: A Resource Monitoring System for Network-Aware Applications , 1997 .

[15]  James Won-Ki Hong,et al.  Web-based intranet services and network management , 1997 .

[16]  Jean-Chrysotome Bolot End-to-end packet delay and loss behavior in the internet , 1993, SIGCOMM 1993.

[17]  Mary Baker,et al.  Measuring bandwidth , 1999, IEEE INFOCOM '99. Conference on Computer Communications. Proceedings. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. The Future is Now (Cat. No.99CH36320).

[18]  Yuming Jiang,et al.  Link-Based Fair Aggregation: A Simple Approach to Scalable Support of Per-Flow Service Guarantees , 2004, NETWORKING.

[19]  Michael Anthony Bauer,et al.  Driving resource management with application-level quality of service specifications , 1998, ICE '98.

[20]  Patricia Streilein,et al.  Enabling revenue-generating services — The evolution of next-generation networks , 2001, Bell Labs Technical Journal.