Phantom: Towards Vendor-Agnostic Resource Consolidation in Cloud Environments

Abbasi, Aaqif Afzaal; Al-qaness, Mohammed A. A.; Elaziz, Mohamed Abd; Hawbani, Ammar; Ewees, Ahmed A.; Javed, Sameen; Kim, Sung Hwan

doi:10.3390/electronics8101183

Cited by 6 publications

(4 citation statements)

References 53 publications

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“…Integration of SDN and EC was not studied in literature. SDNs offer novel possibilities for designing, securing, and operating data-intensive networks [35]. Nevertheless, realizing these advantages mainly requires the underlying infrastructure support.…”

Section: Related Workmentioning

confidence: 99%

Dynamic Resource Allocation Model for Distribution Operations Using SDN

Goudarzi

Anisi

Ahmadi

et al. 2021

IEEE Internet Things J.

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In vehicular ad-hoc networks, autonomous vehicles generate a large amount of data prior to support in-vehicle applications. So, a big storage and high computation platform is needed. On the other hand, the computation for vehicular networks at the cloud platform requires low latency. Applying edge computation (EC) as a new computing paradigm has potentials to provide computation services while reducing the latency and improving the total utility. We propose a three-tier EC framework to set the elastic calculating processing capacity and dynamic route calculation to suitable edge servers for real-time vehicle monitoring. This framework includes the cloud computation layer, EC layer, and device layer. The formulation of resource allocation approach is similar to an optimization problem. We design a new reinforcement learning (RL) algorithm to deal with resource allocation problem assisted by cloud computation. By integration of EC and software defined networking (SDN), this study provides a new software defined networking edge (SDNE) framework for resource assignment in vehicular networks. The novelty of this work is to design a multi-agent RL-based approach using experience reply. The proposed algorithm stores the users' communication information and the network tracks' state in realtime. The results of simulation with various system factors are presented to display the efficiency of the suggested framework. We present results with a real-world case study.

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Section: Related Workmentioning

confidence: 99%

Dynamic Resource Allocation Model for Distribution Operations Using SDN

Goudarzi

Anisi

Ahmadi

et al. 2021

IEEE Internet Things J.

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“…Then, they have applied to the obtained assignment, the Kuhn–Munkres algorithm to solve the controller capacity matching subproblem. Always with the aim of improving resource management in SDN‐based environment, Abbasi et al have proposed in their work 23 Phantom, a platform based on a graph theoretic approach for virtual machine (VM) placement and mapping policy in the software‐defined clouds such as DCs. Authors have implemented this approach to consolidate VM resources by the use of matrices.…”

Section: Related Workmentioning

confidence: 99%

Towards an optimal controllers' response time in a software‐defined network‐enabled data center

Idrissi

Fenni

2021

Int J Communication

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Summary In a digital world changing at high speed, data centers still play a major role in new network architectures. Software‐defined network (SDN) technology is considered as a suitable solution to solve and overcome several limitations of standard data centers including flexibility, scalability, and ease of management. However, in an SDN with a distributed control plane, the assignment of switches could be a cause of generating significant latency that could degrade the Quality of Experience (QoE) of certain services and applications hosted on the data center. In this paper, we propose a matching game algorithm ensuring a dynamic assignment of switches. Its main characteristic is to achieve a fair assignment while balancing the load generated by the data plane among all controllers resulting in a balanced response time. The numerical results show that our algorithm outperforms other existing state‐of‐the‐art algorithms in terms of minimizing controllers' response time.

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“…Multiple SmartX boxes are deployed and inter-connected through SDN in the distributed environments. Reference [12] discusses the resource management scheme in the mobile cloud environment, which exploits SDN to introduce a vendor-agnostic concept.…”

Section: The Present Issuementioning

confidence: 99%