Advanced Optical Burst Switched Network Concepts

In recent years, as the bandwidth and the speed of networks have increased significantly, a new generation of network-based applications using the concept of distributed computing and collaborative services is emerging (e.g., Grid computing applications). The use of the available fiber and DWDM infrastructure for these applications is a logical choice offering huge amounts of cheap bandwidth and ensuring global reach of computing resources [230]. Currently, there is a great deal of interest in deploying optical circuit (wavelength) switched network infrastructure for distributed computing applications that require long-lived wavelength paths and address the specific needs of a small number of well-known users. Typical users are particle physicists who, due to their international collaborations and experiments, generate enormous amounts of data (Petabytes per year). These users require a network infrastructures that can support processing and analysis of large datasets through globally distributed computing resources [230]. However, providing wavelength granularity bandwidth services is not an efficient and scalable solution for applications and services that address a wider base of user communities with different traffic profiles and connectivity requirements. Examples of such applications may be: scientific collaboration in smaller scale (e.g., bioinformatics, environmental research), distributed virtual laboratories (e.g., remote instrumentation), e-health, national security and defense, personalized learning environments and digital libraries, evolving broadband user services (i.e., high resolution home video editing, real-time rendering, high definition interactive TV). As a specific example, in e-health services and in particular mammography applications due to the size and quantity of images produced by remote mammography, stringent network requirements are necessary. Initial calculations have shown that for 100 patients to be screened remotely, the network would have to securely transport 1.2 GB of data every 30 s [230]. According to the above explanation it is clear that these types of applications need a new network infrastructure and transport technology that makes large amounts of bandwidth at subwavelength granularity, storage, computation, and visualization resources potentially available to a wide user base for specified time durations. As these types of collaborative and network-based applications evolve addressing a wide range and large number of users, it is infeasible to build dedicated networks for each application type or category. Consequently, there should be an adaptive network infrastructure able to support all application types, each with their own access, network, and resource usage patterns. This infrastructure should offer flexible and intelligent network elements and control mechanism able to deploy new applications quickly and efficiently.

[1]  Arnaud Dupas,et al.  IST-DAVID: concept presentation and physical layer modeling of the metropolitan area network , 2003 .

[2]  Chunming Qiao,et al.  Assembling TCP/IP packets in optical burst switched networks , 2002, Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE.

[3]  Leonard Kleinrock,et al.  A Tradeoff Study of Switching Systems in Computer Communication Networks , 1980, IEEE Transactions on Computers.

[4]  Chunming Qiao,et al.  Optical burst switching (OBS) - a new paradigm for an Optical Internet^{1} , 1999, J. High Speed Networks.

[5]  Piero Castoldi,et al.  A novel service oriented framework for automatically switched transport network , 2005, 2005 9th IFIP/IEEE International Symposium on Integrated Network Management, 2005. IM 2005..

[6]  Hai Le Vu,et al.  Performance analyses of optical burst-switching networks , 2003, IEEE J. Sel. Areas Commun..

[7]  Filip De Turck,et al.  Distributed Job Scheduling based on Multiple Constraints Anycast Routing , 2006, 2006 3rd International Conference on Broadband Communications, Networks and Systems.

[8]  Polina Bayvel,et al.  Design trade-offs in optical burst switched networks with dynamic wavelength allocation , 2000 .

[9]  E. Ronchieri,et al.  Agreement signalling and network service provisioning for grids , 2005, 2nd International Conference on Broadband Networks, 2005..

[10]  M. Duser,et al.  Analysis of a dynamically wavelength-routed optical burst switched network architecture , 2002 .

[11]  P. Castoldi,et al.  A service oriented network architecture suitable for global grid computing , 2005, Conference onOptical Network Design and Modeling, 2005..

[12]  Moshe Zukerman,et al.  Analysis of an optical hybrid switch , 2006 .

[13]  Jason P. Jue,et al.  Threshold-based burst assembly policies for QoS support in optical burst-switched networks , 2002, SPIE ITCom.

[14]  Moufida Maimour,et al.  Dynamic replier active reliable multicast (DyRAM) , 2002, Proceedings ISCC 2002 Seventh International Symposium on Computers and Communications.

[15]  Piet Van Mieghem,et al.  Concepts of exact QoS routing algorithms , 2004, IEEE/ACM Transactions on Networking.

[16]  Chunming Qiao,et al.  Extending generalized multiprotocol label switching (GMPLS) for polymorphous, agile, and transparent optical networks (PATON) , 2006, IEEE Communications Magazine.

[17]  K. Dolzer,et al.  On burst assembly in optical burst switching networks—A performance evaluation of just-enough-time , 2001 .

[18]  An Ge,et al.  On optical burst switching and self-similar traffic , 2000, IEEE Communications Letters.