G-lambda and EnLIGHTened: Wrapped In Middleware Co-allocating Compute and Network Resources Across Japan and the US

Thorpe, Steven R.; Battestilli, Lina; Karmous-Edwards, Gigi; Hutanu, Andrei; MacLaren, Jon; Mambretti, Joe; Moore, J. H.; Sundar, Kamaraju Syam; Xin, Yufeng; Takefusa, Atsuko; Hayashi, Michiaki; Hirano, Atsushi; Okamoto, Satoru; Kudoh, Tomohiro; Miyamoto, Terumasa; Tsukishima, Yukio; Otani, Tomohiro; Nakada, Hidemoto; Tanaka, Hideaki; Taniguchi, Atsuhiko; Sameshima, Yasunori; Jinno, Masahiko

doi:10.4108/gridnets.2007.2077

Cited by 23 publications

(15 citation statements)

References 7 publications

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“…For both the G-Lambda and ENL project, multi-domain connections are computed as follows: a local network resource broker communicates with the other resource brokers of the other domains to ask for network path quotations [19]. There are no state updates between the resource brokers (only for the interdomain links) and consequently, the inter-domain path and end-points at the domain boundaries must be known beforehand.…”

Section: Converged Network and It Control Architecturesmentioning

confidence: 99%

NCP+: An integrated network and IT control plane for cloud computing

Buysse

Leenheer

Contreras

et al. 2014

Optical Switching and Networking

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Cloud computing, building on the idea of "computation as a public utility" is made possible by the increased network capabilities in terms of bandwidth and reduced latency. Today, the cloud paradigm today sees adoption in many businesses, given its advantages not only from a customer point of view (e.g., universal access to the same applications across all company branches), but also from the application provider and network operator perspective (e.g., software updates no longer need to be distributed). To be able to offer cloud computing services efficiently, service providers need not just an infrastructure comprising both network and IT resources, but especially a control system that is able to orchestrate such integrated network and IT services. This paper offers a new proposal for such a system: an enhanced network control plane, the NCP+, which is based on a GMPLS control plane with a Hierarchical Path Computation Element (PCE) architecture able to jointly make network routing and IT server provisioning decisions. Indeed, in the assumed cloud paradigm, a user generally does not care what exact server the offered service is using, as long as its service requirements are met: the anycast principle applies. The paper discusses (i) the architecture of the NCP+, (ii) two IT-aware aggregation mechanisms to be used in the hierarchical PCE approach, and (iii) routing and scheduling algorithms for those aggregation mechanisms. We conclude this work with a thorough simulation analysis of the aggregation and routing/scheduling policies showing that Full Mesh aggregation where the domain topology is represented by a complete graph, although less scalable in terms of computation time, is able to provision efficiently using the proposed load balancing routing and scheduling policy. However, for a scenario with stringent IT requirements, Star could be used in parallel for scenarios where end-to-end setup times are important.

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Section: Converged Network and It Control Architecturesmentioning

confidence: 99%

NCP+: An integrated network and IT control plane for cloud computing

Buysse

Leenheer

Contreras

et al. 2014

Optical Switching and Networking

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“…Each user request arrives in the first 24 hours and it reserves resources for the next 24 hours. Interarrival rate of each user request is set to 407.327 In the experiments, we assume a smallish numbers of CPUs at each site (8 -64 CPUs) and the requested site (1)(2)(3)(4)(5)(6)(7)(8), because the calculation times of our algorithm does not depend on the number of CPUs, but on the number of sites.…”

Section: Simulation Modelmentioning

confidence: 99%

“…and ran real applications [1,2,18]. The applications include a molecular dynamics simulation program with GridRPC and MPI, and HD video live-streaming.…”

Section: Figmentioning

confidence: 99%

“…Figure 3 shows a real resource pool used for an experiment performed by Japan's G-lambda project [19] and the United States' EnLIGHTened Computing project [20]. The two projects achieved the world's first inter-domain coordination of resource managers for in-advance reservation of network bandwidth and compute resources between and among both the US and Japan in the fall of 2006 [2] The reservation plan shown on the right hand side of Figure 2 demonstrates how computing resources (SiteA, SiteB, SiteC) and network resources between them are allocated and the start time and end time of the time slot are determined. Note that network topology produced by a Planner is not real network topology with real routers and switches, but an abstracted higher-level notation.…”

Section: Figmentioning

confidence: 99%

“…Several research projects have achieved coordination of resource managers for computers and network bandwidth and have constructed QoS-guaranteed Grid environments [1][2][3]. In contrast to canonical Grid environments, whose network resources are shared by abundant users, network links in these QoS-guaranteed Grids are dedicated to requesting users in order to guarantee the specified bandwidth.…”

Section: Introductionmentioning

confidence: 99%

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Abstract. Co-allocation of performance-guaranteed computing and network resources provided by several administrative domains is one of the key issues for constructing a QoS-guaranteed Grid. We propose an advance reservation-based co-allocation algorithm for both computing and network resources on a QoSguaranteed Grid, modeled as an integer programming (IP) problem. The goal of our algorithm is to create reservation plans satisfying user resource requirements as an on-line service. Also the algorithm takes co-allocation options for user and resource administrator issues into consideration. We evaluate the proposed algorithm with extensive simulation, in terms of both functionality and practicality. The results show: The algorithm enables efficient co-allocation of both computing and network resources provided by multiple domains, and can reflect reservation options for resource administrators issues as a first step. The calculation times needed for selecting resources using an IP solver are acceptable for an on-line service.

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G-lambda and EnLIGHTened: Wrapped In Middleware Co-allocating Compute and Network Resources Across Japan and the US

Cited by 23 publications

References 7 publications

NCP+: An integrated network and IT control plane for cloud computing

NCP+: An integrated network and IT control plane for cloud computing

An Advance Reservation-Based Co-allocation Algorithm for Distributed Computers and Network Bandwidth on QoS-Guaranteed Grids

Photonic Grids and Clouds

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