Virtual distributed environments in a shared infrastructure

Ruth, Paul; Jiang, Xuxian; Xu, Dongyan; Goasguen, Sebastien

doi:10.1109/mc.2005.175

Cited by 96 publications

(44 citation statements)

References 9 publications

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“…A slice may serve as a container or execution context to host an application or network service. An ExoGENI slice may contain a network topology with programmable nodes and links-a virtual distributed environment [21]. The links in the topology comprise the slice dataplane.…”

Section: Exogeni Control Softwarementioning

confidence: 99%

ExoGENI: A Multi-domain Infrastructure-as-a-Service Testbed

Baldin

Xin

Mandal

et al. 2012

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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NSF's GENI program seeks to enable experiments that run within virtual network topologies built-toorder from testbed infrastructure offered by multiple providers (domains). GENI is often viewed as a network testbed integration effort, but behind it is an ambitious vision for multi-domain infrastructure-asa-service (IaaS). This paper presents ExoGENI, a new GENI testbed that links GENI to two advances in virtual infrastructure services outside of GENI: open cloud computing (OpenStack) and dynamic circuit fabrics. ExoGENI orchestrates a federation of independent cloud sites and circuit providers through their native IaaS interfaces, and links them to other GENI tools and resources.The ExoGENI deployment consists of cloud site "racks" on host campuses within the US, linked with national research networks and other circuit networks through programmable exchange points. The ExoGENI sites and control software are enabled for software-defined networking using OpenFlow. ExoGENI offers a powerful unified hosting platform for deeply networked, multi-domain, multi-site cloud applications. We intend that ExoGENI will seed a larger, evolving platform linking other third-party cloud sites, transport networks, and other infrastructure services, and that it will enable real-world deployment of innovative distributed services and new visions of a Future Internet.

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Section: Exogeni Control Softwarementioning

confidence: 99%

ExoGENI: A Multi-domain Infrastructure-as-a-Service Testbed

Baldin

Xin

Mandal

et al. 2012

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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“…The Xenoserver project [20] builds a distributed infrastructure as an extension of the Xen VM [21]. The In-Vigo project [22] proposed a distributed grid infrastructure based on VMs, while the Violin [23] project addresses the virtual networking issues. Although all these projects use VMs to improve the efficiency of resource sharing in grid environments, none of them considers sharing of VMs between multiple workloads or proposes a strategy for determining the optimal allocation of virtual resources.…”

Section: A Experimental Setupmentioning

confidence: 99%

Efficient Resource Virtualization and Sharing Strategies for Heterogeneous Grid Environments

Garbacki

Naik

2007

2007 10th IFIP/IEEE International Symposium on Integrated Network Management

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Abstract-Resource virtualization has emerged as a powerful technique for customized resource provisioning in grid and data center environments. In this paper, we describe efficient strategies for policy-based controlling of virtualization of the physical resources. With these strategies, virtualization is controlled taking into account workload requirements, available capacities of physical resources, and the governing policies. Realizing this control requires simultaneous handling of three problems: (i) determining the virtual resource configurations, (ii) the mapping of resulting virtual resources to physical resources, and (iii) the mapping of workloads to the virtual resources. We pose this as an optimization problem and solve this problem using a linear programming (LP) based approach. We evaluate this approach by implementing it in the Harmony grid environment consisting of heterogeneous resources and heterogeneous workload. Experimental results indicate that our approach is efficient and effective. We extend this approach further by using a two-phase heuristic that allows the decision making component to scale up to handle large scale grid systems.

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“…3. Virtual networks, such as VNET [23] and VIO-LIN [13,21], incur non-trivial performance penalty due to their link layer virtualization approach.…”

Section: Background: User-mode Linuxmentioning

confidence: 99%

“…VNET [23] implements a virtual local area network spreading over a wide area using layer-2 tunneling. VIOLIN [13,21] designs a virtual private network using UDP tunneling at the user level. Although these two systems design a functional virtual network for VMs, the extra level of indirection by tunneling introduces significant communication overhead, especially for fast local area networks.…”

Section: Related Workmentioning

confidence: 99%