Integrated management system for distributed micro-datacenters

Kim, Byeongsik; Lee, Bhumchul

doi:10.1109/icact.2016.7423433

Cited by 3 publications

(5 citation statements)

References 1 publication

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“…The work in [16]- [19] can be divided into the following stages: the mainframe era. The mainframe was very expensive when it first appeared, but the computing power of the mainframe is good.…”

Section: ) Desktop Virtualization Technologymentioning

confidence: 99%

On Construction and Performance Evaluation of a Virtual Desktop Infrastructure With GPU Accelerated

et al. 2020

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More engaging and accessible solutions that offer outstanding user experience are needed. The virtual desktop infrastructure (VDI) is the first user access part of the cloud. Therefore, the performance of the VDI has a significant influence on the network. The graphics processing unit (GPU) can accelerate performance by assigning each virtual machine a dedicated GPU for performance-boosting to improve the user experience. In this paper, we propose a high-performance VDI using an integration of a GPU on OpenStack with a PCI pass-through. It might have certain benefits over using virtualized hardware, such as lower latency, better performance, and more functionality. The evaluation and comparison of the computer processing unit (CPU) and GPU are presented among the different benchmark tools.

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Section: ) Desktop Virtualization Technologymentioning

confidence: 99%

On Construction and Performance Evaluation of a Virtual Desktop Infrastructure With GPU Accelerated

et al. 2020

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“…the switch port where a frame to be matched enters out the list of ports where a frame matching the OF rule has to be sent dlsrc (dl dst ) the source (destination) MAC address 1 -one acting inside each datacenter, and the other on the wide-area infrastructure. The rationale behind this division is to isolate as much as possible the number of network reconfigurations during VO migrations or changes in the mapping between overlay and underlay resources.…”

Section: B Layer-2 Addressingmentioning

confidence: 99%

“…and computing capabilities, able to host both network and application software instances from multiple tenants. Computing resources will be provided by resource-constrained facilities, placed at various levels of the network [1]- [3].…”

mentioning

confidence: 99%

A Multi-Clustering Approach to Scale Distributed Tenant Networks for Mobile Edge Computing

Bruschi

Davoli

Lago

et al. 2019

IEEE J. Select. Areas Commun.

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Fifth generation (5G) mobile networks will lead to a deep integration between networks and applications. Through novel paradigms like Network Functions Virtualization (NFV) and Edge Computing, new classes of heterogeneous application services will be enabled to run close to mobile end-user devices with zero-perceived latency and fully-cognitive dynamic reconfiguration capabilities. Such "vertical" applications exhibit diverse performance/scalability requirements, and will rely on highly distributed, extremely virtualized, multi-tenant and software-defined infrastructures. In such context, handling the required operations in a scalable and dynamic fashion will be of paramount importance. A specific aspect, addressed by Software Defined Networking (SDN), regards the provision of suitable communication channels, once resource allocation mechanisms have performed the most efficient deployment of Virtual Network Function (VNF) instances, and VNF chaining needs to be implemented to enable network services. In this respect, this paper introduces the Multi-Cluster Overlay (MCO) network paradigm: a tunnel-less SDN scheme for scalable realization of Virtual Tenant Networks (VTNs) across the 5G distributed infrastructure, able to support (bulk) migrations of software instances among geo-distributed computing resources in a seamless and effective fashion. Numerical simulation and experimental results show that the MCO achieves up to over one order of magnitude smaller number of forwarding rules than other state-of-the-art SDN mechanisms, while also assuring high performance during reconfiguration operations.

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“…The emerging Fog paradigm [1] is expected to bring Cloudlike services at different levels of user proximity, as small to medium-sized computing facilities (e.g., street cabinets [2], micro-and container-based datacenters [3], mobile base stations [4], among others) join in. This upcoming Cloud-Fog interplay will grant service providers more degrees of freedom in improving either the quality of service (QoS) of service components or the quality of experience (QoE) of the endusers, as necessary.…”

Section: Introductionmentioning

confidence: 99%

Move with Me: Scalably Keeping Virtual Objects Close to Users on the Move

Bruschi

Davoli

Lago

et al. 2018

2018 IEEE International Conference on Communications (ICC)

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The upcoming Cloud-Fog interplay is expected to grant service providers more degrees of freedom in the implementation and management of their service portfolios. With the state-of-the-art virtualization technologies, services can be implemented in software as a graph/chain of portable virtual objects (VOs) that can be migrated around the Telco infrastructure. In this perspective, a VO clustering and migration policy that jointly considers user proximity and inter-VO affinity is proposed to scalably support user mobility, while allowing service differentiation among users. Results confirm that introducing migrations improve the quality of service (QoS) to always meet or exceed the requirements, as compared to static service placement, and considering VO clusters as aggregate entities will initiate around 40% less migrations, on average -an improvement that increases with inter-VO affinity and could potentially simplify service management when supporting user mobility.

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Integrated management system for distributed micro-datacenters

Cited by 3 publications

References 1 publication

On Construction and Performance Evaluation of a Virtual Desktop Infrastructure With GPU Accelerated

On Construction and Performance Evaluation of a Virtual Desktop Infrastructure With GPU Accelerated

A Multi-Clustering Approach to Scale Distributed Tenant Networks for Mobile Edge Computing

Move with Me: Scalably Keeping Virtual Objects Close to Users on the Move

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