Physical Wireless Resource Virtualization for Software-Defined Whole-Stack Slicing

A virtual router model with a static and dynamic resource reconfiguration for future internet networking was developed. This technique allows us to create efficient virtual devices with optimal parameters (queue length, queue overflow management discipline, number of serving devices, mode of serving devices) to ensure the required level of quality of service (QoS). An analytical model of a network device with virtual routers is proposed. By means of the mentioned mathematical representation, it is possible to determine the main parameters of the virtual queue system, which are based on the first in, first out (FIFO) algorithm, in order to analyze the efficiency of network resources utilization, as well as to determine the parameters of QoS flows, for a given intensity of packets arrival at the input interface of the network element. In order to research the guaranteed level of QoS in future telecommunications networks, a simulation model of a packet router with resource virtualization was developed. This model will allow designers to choose the optimal parameters of network equipment for the organization of virtual routers, which, in contrast to the existing principle of service, will provide the necessary quality of service provision to end users in the future network. It is shown that the use of standard static network device virtualization technology is not able to fully provide a guaranteed level of QoS to all present flows in the network by the criterion of minimum delay. An approach for dynamic reconfiguration of network device resources for virtual routers has been proposed, which allows more flexible resource management at certain points in time depending on the input load. Based on the results of the study, it is shown that the dynamic virtualization of the network device provides a guaranteed level of QoS for all transmitted flows. Thus, the obtained results confirm the feasibility of using dynamic reconfiguration of network device resources to improve the quality of service for end users.

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Micro edge cloud architecture with elastic optical network for resource virtualization in 5G

2017 Opto-Electronics and Communications Conference (OECC) and Photonics Global Conference (PGC) ◽

10.1109/oecc.2017.8114771 ◽

2017 ◽

Author(s):

Linkuan He ◽

Hui Yang ◽

Yongli Zhao ◽

Wei Bai ◽

Ao Yu ◽

...

Keyword(s):

Optical Network ◽

Cloud Architecture ◽

Elastic Optical Network ◽

Resource Virtualization

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Resource virtualization under Batch Tasks Running in the Cloud Computing Environment

Proceedings of the International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013) ◽

10.2991/iccnce.2013.86 ◽

2013 ◽

Author(s):

Guijuan Kuang ◽

Guosun Zeng ◽

Huanliang Xiong

Keyword(s):

Cloud Computing ◽

Computing Environment ◽

Cloud Computing Environment ◽

Resource Virtualization

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Resource Virtualization and Allocation for TDD-F-OFDM Systems With MU-MIMO

IEEE Access ◽

10.1109/access.2020.3041824 ◽

2020 ◽

Vol 8 ◽

pp. 219047-219061

Author(s):

Baoguo Yu ◽

Yachuan Bao ◽

Kexin Cheng ◽

Ruoxu Chen ◽

Xiaofeng Lu

Keyword(s):

Ofdm Systems ◽

Resource Virtualization

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Flexible device compositions and dynamic resource sharing in PCIe interconnected clusters using Device Lending

Cluster Computing ◽

10.1007/s10586-019-02988-0 ◽

2019 ◽

Vol 23 (2) ◽

pp. 1211-1234

Author(s):

Jonas Markussen ◽

Lars Bjørlykke Kristiansen ◽

Rune Johan Borgli ◽

Håkon Kvale Stensland ◽

Friedrich Seifert ◽

...

Keyword(s):

Resource Sharing ◽

Direct Access ◽

Pci Express ◽

Specific Distribution ◽

Resource Virtualization ◽

Virtualization Technology ◽

Support Device ◽

Dynamic Resource ◽

Additional Support ◽

Dynamic Resource Sharing

Abstract Modern workloads often exceed the processing and I/O capabilities provided by resource virtualization, requiring direct access to the physical hardware in order to reduce latency and computing overhead. For computers interconnected in a cluser, access to remote hardware resources often requires facilitation both in hardware and specialized drivers with virtualization support. This limits the availability of resources to specific devices and drivers that are supported by the virtualization technology being used, as well as what the interconnection technology supports. For PCI Express (PCIe) clusters, we have previously proposed Device Lending as a solution for enabling direct low latency access to remote devices. The method has extremely low computing overhead, and does not require any application- or device-specific distribution mechanisms. Any PCIe device, such as network cards disks, and GPUs, can easily be shared among the connected hosts. In this work, we have extended our solution with support for a virtual machine (VM) hypervisor. Physical remote devices can be “passed through” to VM guests, enabling direct access to physical resources while still retaining the flexibility of virtualization. Additionally, we have also implemented multi-device support, enabling shortest-path peer-to-peer transfers between remote devices residing in different hosts.Our experimental results prove that multiple remote devices can be used, achieving bandwidth and latency close to native PCIe, and without requiring any additional support in device drivers. I/O intensive workloads run seamlessly using both local and remote resources. With our added VM and multi-device support, Device Lending offers highly customizable configurations of remote devices that can be dynamically reassigned and shared to optimize resource utilization, thus enabling a flexible composable I/O infrastructure for VMs as well as bare-metal machines.

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Resource virtualization: A core technology for developing cyber-physical production systems

Journal of Manufacturing Systems ◽

10.1016/j.jmsy.2018.05.003 ◽

2018 ◽

Vol 47 ◽

pp. 128-140 ◽

Cited By ~ 50

Author(s):

Yuqian Lu ◽

Xun Xu

Keyword(s):

Production Systems ◽

Core Technology ◽

Resource Virtualization ◽

Cyber Physical Production Systems

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Modeling Message Queueing Services with Reliability Guarantee in Cloud Computing Environment Using Colored Petri Nets

Mathematical Problems in Engineering ◽

10.1155/2015/383846 ◽

2015 ◽

Vol 2015 ◽

pp. 1-20 ◽

Cited By ~ 4

Author(s):

Jing Li ◽

Yidong Cui ◽

Yan Ma

Keyword(s):

Petri Nets ◽

Performance Optimization ◽

Large Scale ◽

Performance Metrics ◽

Service Providers ◽

Critical Issue ◽

Colored Petri Nets ◽

Message Delivery ◽

Modeling Approach ◽

Resource Virtualization

Motivated by the need for loosely coupled and asynchronous dissemination of information, message queues are widely used in large-scale application areas. With the advent of virtualization technology, cloud-based message queueing services (CMQSs) with distributed computing and storage are widely adopted to improve availability, scalability, and reliability; however, a critical issue is its performance and the quality of service (QoS). While numerous approaches evaluating system performance are available, there is no modeling approach for estimating and analyzing the performance of CMQSs. In this paper, we employ both the analytical and simulation modeling to address the performance of CMQSs with reliability guarantee. We present a visibility-based modeling approach (VMA) for simulation model using colored Petri nets (CPN). Our model incorporates the important features of message queueing services in the cloud such as replication, message consistency, resource virtualization, and especially the mechanism named visibility timeout which is adopted in the services to guarantee system reliability. Finally, we evaluate our model through different experiments under varied scenarios to obtain important performance metrics such as total message delivery time, waiting number, and components utilization. Our results reveal considerable insights into resource scheduling and system configuration for service providers to estimate and gain performance optimization.

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