End-to-End Bandwidth Allocation and Reservation for Grid applications

Palansuriya, Charaka; Buchli, M.; Kavoussanakis, Kostas; Patil, Ashish; Tziouvaras, Chrysostomos; Trew, Arthur; Simpson, Andrew; Baxter, Rob

doi:10.1109/broadnets.2006.4374418

Cited by 9 publications

(4 citation statements)

References 3 publications

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“…Although, there are still many controversial issues yet to be resolved such as increasing network capacity and metered pricing. Chris and Olov discuss bandwidth management in next generation of packet networks [19]. According to the two authors, there are issues surrounding the bandwidth management for next-generation of voice and multimedia over packet networks.…”

Section: Related Workmentioning

confidence: 99%

Bandwidth Management Using MPLS Model for Future Mobile Wireless Networks

Mustapha

Sheriff

Ong

2018

Wireless and Satellite Systems

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The recent surge in the development of new technologies, most especially in the field of mobile and wireless communications, requires the adequate maintenance and overall procurement of network infrastructures. This is due to a great deal of accelerating demand from Mobile users having access to real-time information such as data, voice and video services. Therefore, the operators and service providers require seamless integration of network protocols with an improved quality of service (QoS). This paper addresses the performance of multimedia services in Multiprotocol Layer Switching (MPLS) nodes and network models design using a simulation approach. MPLS ensures the reliability of the communication minimizing the delays and enhancing the speed of packet transfer. It is valuable in its capability of providing Traffic Engineering (TE) for minimizing the congestion by efficient throughput. The verification of the MPLS model will be the focus of the performance evaluation. An elaborate description of MPLS and its principle of operation will be required. It will eventually address the challenges of packet loss, high latency, high operational cost, more bandwidth utilization, and poor QoS.

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Section: Related Workmentioning

confidence: 99%

Bandwidth Management Using MPLS Model for Future Mobile Wireless Networks

Mustapha

Sheriff

Ong

2018

Wireless and Satellite Systems

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“…How best to reserve network connectivity in advance is still a research topic; network devices do not support advance reservation of paths. When the EnLIGHTened Computing project started, there were deployed reservation systems such as the G-lambda project's GNS-WSI2 [26] and EGEE's BAR [27]. However, the project chose to implement a new, simple, timetable-based system, which was embedded in a HARC Resource Manager; this component is referred to as the HARC Network Resource Manager (NRM).…”

Section: A Compute Resource Managers (Crm)mentioning

confidence: 99%

EnLIGHTened Computing: An architecture for co-allocating network, compute, and other grid resources for high-end applications

Battestilli

Hutanu

Karmous-Edwards

et al. 2007

2007 International Symposium on High Capacity Optical Networks and Enabling Technologies

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Many emerging high performance applications require distributed infrastructure that is significantly more powerful and flexible than traditional Grids. Such applications require the optimization, close integration, and control of all Grid resources, including networks. The EnLIGHTened (ENL) Computing Project has designed an architectural framework that allows Grid applications to dynamically request (inadvance or on-demand) any type of Grid resource: computers, storage, instruments, and deterministic, high-bandwidth network paths, including lightpaths. Based on application requirements, the ENL middleware communicates with Grid resource managers and, when availability is verified, co-allocates all the necessary resources. ENL's Domain Network Manager controls all network resource allocations to dynamically setup and delete dedicated circuits using Generalized Multiprotocol Label Switching (GMPLS) control plane signaling. In order to make optimal brokering decisions, the ENL middleware uses near-real-time performance information about Grid resources. A prototype of this architectural framework on a national-scale testbed implementation has been used to demonstrate a small number of applications. Based on this, a set of changes for the middleware have been laid out and are being implemented.

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“…When the EnLIGHTened Computing project [1] started, there were deployed reservation systems such as the G-lambda project's GNS-WSI2 [5] and EGEE's BAR [9]. However, the project chose to implement a new, simple, timetable-based system, which was embedded in a HARC Resource Manager; this component is referred to as the HARC Network Resource Manager (NRM).…”

Section: Reserving Network Connections Using Harcmentioning

confidence: 99%

Co-allocation of compute and network resources using HARC

MacLaren¹

2007

Proceedings of Lighting the Blue Touchpaper for UK E-Science - Closing Conference of ESLEA Project — PoS(ESLEA)

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HARC-the Highly-Available Resource Co-allocator-is a system for reserving multiple resources in a coordinated fashion. HARC can handle multiple types of resource, and has been used to reserve time on supercomputers distributed across a nationwide testbed in the United States, together with dedicated lightpaths connecting the machines. HARC makes these multiple allocations in a single atomic step; if any resource is not available as required, then nothing is reserved. To achieve this "all or nothing" behavior, HARC treats the allocation process as a Transaction, and uses a phased commit protocol. The Paxos Commit protocol to ensure that there is no single point of failure in the system, which, if correctly deployed, has a very long Mean Time To Failure.Here we give an overview of HARC, and explain how the current HARC Network Resource Manager (NRM) works, and is able to set-up and tear-down dedicated lightpaths.

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End-to-End Bandwidth Allocation and Reservation for Grid applications

Cited by 9 publications

References 3 publications

Bandwidth Management Using MPLS Model for Future Mobile Wireless Networks

Bandwidth Management Using MPLS Model for Future Mobile Wireless Networks

EnLIGHTened Computing: An architecture for co-allocating network, compute, and other grid resources for high-end applications

Co-allocation of compute and network resources using HARC

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