Comparison of VNE heuristic solutions with similar objective functions

Prekas, Stelios; Karkazis, Panagiotis; Trakadas, Panagiotis; Nikolakakis, Vasileios

doi:10.1145/3437120.3437266

Cited by 6 publications

(2 citation statements)

References 8 publications

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“…Innovative solutions like Virtual Network Embedding (VNE), seek to serve Virtual Network Requests (VNRs), by achieving optimal mappings of their VNs onto available resources of Substrate Networks (SNs) [4][5][6]. Virtualization-oriented concepts like Network Function Virtualization (NFV), Software Defined Networking (SDN), and Network Slicing (NS) are accepted as fundamental for successful deployment and programmability of NGNs [7,8].…”

Section: Introductionmentioning

confidence: 99%

Path Enumeration Solution for Evaluating Reliability, Based on the Path Algebra Framework

Prekas,

Trakadas,

Karkazis

2024

Preprint

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The demand for connectivity in this fourth industrial revolution, is growing in an exponential rate. As the Fourth-Generation communication systems are replaced by the Fifth and Sixth-Generation ones, a plethora of fundamental performance issues need to constantly be addressed. Virtual network reliability is one of those main challenges for deploying resilient service-centric and user-centric scenarios in Next-Generation Networks. The need for strengthening critical applications dictates the emergence of mechanisms that could inherently produce more reliable resource allocations, either at the cloud or edge level. However, until the adoption of fully artificially intelligent management systems, the enhancement of existing resource evaluation and allocation mechanisms is mandatory during this transitional era. To reach this pressing milestone, we will have to revise the already deployed reliability frameworks, assessing their orchestrating stages. Our research focuses on providing a novel evaluation mechanism that could successfully replace traditional path choosing techniques in reliability prone algorithms, regardless of their orientation. The proposed synthesized metrics enumerate the candidate paths validly and optimally, by adhering to the Path Algebra fundamental properties of monotonicity and isotonicity. Such an implementation can be deployed seamlessly, either on legacy or modern architectures, cementing the innovative qualities of its design. The experimental results of our simulations indicate that the proposed solution favors substantially more reliable paths than its shortest-path counterpart.

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Section: Introductionmentioning

confidence: 99%

Path Enumeration Solution for Evaluating Reliability, Based on the Path Algebra Framework

Prekas,

Trakadas,

Karkazis

2024

Preprint

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“…Adhering to specific optimization objectives, thus closing the loop of control as MAPE does and adapting autonomously to the demands of VNRs for resources, VNE solutions follow the same fundamental rules as our orchestration framework. However, depending on the specifics of the respective optimization objective, the embedding results may vary considerably, and the satisfaction of the resulting outcome can be compromised [47]. Integrating such embedding mechanisms with our MAPE architecture is out of the scope of this paper.…”

Section: Rl Agentmentioning

confidence: 99%

Intelligent Network Service Optimization in the Context of 5G/NFV

Karkazis

Railis

Prekas

et al. 2022

Signals

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Our contemporary society has never been more connected and aware of vital information in real time, through the use of innovative technologies. A considerable number of applications have transitioned into the cyber-physical domain, automating and optimizing their routines and processes via the dense network of sensing devices and the immense volumes of data they collect and instantly share. In this paper, we propose an innovative architecture based on the monitoring, analysis, planning, and execution (MAPE) paradigm for network and service performance optimization. Our study confirms distinct evidence that the utilization of learning algorithms, consuming datasets enriched with the users’ empirical opinions as input during the analysis and planning phases, contributes greatly to the optimization of video streaming quality, especially by handling different packet loss rates, paving the way for the achievable provision of a resilient communications platform for calamity assessment and management.

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