International Journal of Networking and Virtual Organisations

Munteanu, Andrei N.; Siscan, Zorina C.

doi: 10.1504/ijnvo.2023.134983pmid: N/A

Contemporaneous sciences keep searching for new ways out of the crisis, whereas an outstanding, significant scientific event in the most recent history has not been valorised at its full potential. Improper attention paid to economic education in recent decades has caused an ambiguous understanding of the global economic disequilibrium, now being the key trigger of potential larger-scale war(s), when the global community already avails examples of viable, refined peacebuilding. In the 1950s outstanding economic growth started, owing to an unprecedented synergy of: 1) economics of education emerged; 2) international economic integration (IEI). Despite that, an excessive conflict persists, originating in how people perceive economic disequilibria; it is typically attributed to either globalisation or IEI. The role of the R&D is expected as ever, to supply more creative, genuine inputs for a solution. The article aims to supply better tools of comparative policy making in education, to better perform adjustment of LICs to international economic disequilibrium, by synergising Economics of Education and IEI. The added value of this article is to supply premises for potentially enhanced use of the correlation between the EE and IEI, and more acknowledged and motivational diffusion of scientific evidence.

Sudhakar, E.P.; Saravanan, M.

doi: 10.1504/ijnvo.2023.134992pmid: N/A

Creating infrastructures, virtual servers, computing resources, along with devices is termed virtualisation. In this methodology, to augment resource usage along with to mitigate the total power consumption, mapping of a group of virtual machine (VM) onto a set of physical machines (PM) is performed in a data centre (DC). Nevertheless, a crucial challenge is presented by the VM allocation together with the higher energy consumption (EC) of cloud data centres (CDC). Thus, to alleviate the resource wastage along with to mitigate the DCs' EC, an effectual Fisher Yates-Shuffled frog leaping algorithm (FY-SFLA) is proposed here: 1) task feature extraction; 2) resource information extraction; 3) task separation by utilising cosine distance - K means algorithm (CD-KMA); 4) task placement in VM by employing the FY-SFLA task; 5) VM status identification by deploying random mutation monkey search deep learning vector quantisation (RMMS - DLVQ) are '5' phases comprised in the proposed methodology.

Arulanand, S.; Rajan, R. Sundara; Prabhu, S.

doi: 10.1504/ijnvo.2023.134993pmid: N/A

The system is fault-tolerant if, in the case that just one of the previously employed units fails, a different chain of units is utilised in its place. Because they provide the best fault tolerance, cycle-related graphs are employed in network analysis, periodic scheduling, and surface reconstruction. This can be achieved through a mathematical concept called domination. In a graph, each node has a minimum of one neighbour in a set, and then the set is called a dominating set of a network. A dominating set with the least cardinality is the domination number of the network. In this paper, we obtain the 2-domination number of some special classes of hypercubes, enhanced hypercubes, and Knödel graphs proving that the lower bound obtained in Fink and Jacobson (1985). quite precise, and also we prove that the time complexity of the 2-domination problem for the above graphs are linear.

Ma, Biao; Li, Li

doi: 10.1504/ijnvo.2023.134990pmid: N/A

The speedy development in information technology has enabled the firms to profile consumers and serve them with personalised pricing. This study constructs a game with a supplier, dominant retailer, and weak retailer to simultaneously consider price competition and advertising competition. We find that the dominant retailer will always employ unified pricing. Regarding the weak retailer, when the cost of personalised pricing is low, it will employ personalised pricing; otherwise, it employs unified pricing. The supplier hopes that the weak retailer will employ personalised pricing to obtain higher profits. Personalised pricing improves consumer surplus, but because of the characteristics of personalised pricing itself, some consumers' interests are always harmed. It should be noted that this is single-phase research that does not consider the intertemporal situation.

Doorwar, Minaxi; Malathi, P.

doi: 10.1504/ijnvo.2023.134994pmid: N/A

In this paper, a bioinspired model for sleep-scheduled multimedia networks is suggested in order to increase this scalability while preserving superior routing performance. The proposed model uses instantaneous node metrics such as node-to-node distance, residual energy levels, and connection quality to create initial routes. For the assessment of route fitness, these variables are paired with temporal performance measurements such as packet delivery ratio, throughput, packet priority, and temporal connection quality. In order to find the best route between a given pair of source and destination nodes, several routing options are assessed using a genetic algorithm (GA) model based on fitness value. The suggested approach is able to decrease end-to-end communication latency, energy consumption, and delay jitter because it incorporates temporal performance indicators with sleep scheduling. Additionally, when we compared several state-of-the-art methods, the suggested model can enhance network throughput and packet delivery performance.