Topologies and performance of intelligent algorithms: a comprehensive review

Nabaei, Armin; Hamian, Melika; Parsaei, Mohammad Reza; Safdari, Reza; Samad‐Soltani, Taha; Zarrabi, Houman; Ghassemi, Afshin

doi:10.1007/s10462-016-9517-3

Cited by 60 publications

(29 citation statements)

References 98 publications

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“…The proposed approach is a hybridization of a type‐2 fuzzy system and cuckoo optimization algorithm. The performance of the proposed T2FS‐COA approach is evaluated in comparison with the following algorithms: The proposed approach using the enhanced version of COA introduced in this paper and with type‐1 fuzzy system instead of the type‐2 fuzzy system. Ant Colony Optimization (ACO)‐based approach by Parsaie et al 7,48 which is introduced in the Related Works Section. The proposed approach using the basic COA instead of the enhanced version introduced in this paper and without fuzzy system. The OSPF which is a well‐known routing protocol for investigating the shortest possible path between source and destination nodes working based on the Dijkstra algorithm. The cost of each link is calculated based on the bandwidth of the link just like the one using Equation .

U_{uv} = \frac{G_{italicuv}}{{italicBW}_{italicuv}}

where G uv is the available bandwidth of link (u, v) , BW uv is its total bandwidth, and U uv is considered as the cost of (u, v).…”

Section: Performance Evaluationmentioning

confidence: 99%

Telesurgery QoS improvement over SDN based on a Type‐2 fuzzy system and enhanced cuckoo optimization algorithm

Parsaei

Boveiri

Javidan

et al. 2020

Int J Communication

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Summary Telemedicine is a new area based on the information and communication technology for collecting, storing, organizing, retrieving and exchanging medical information. One of the most important applications of telemedicine is indeed telesurgery in which an efficient telecommunication infrastructure between the surgery room and remote surgeons need to be established. One of the most important issues to be tackled in telesurgery is to find favorable links for routing as well as providing high Quality of Service (QoS). In this paper, an efficient model based on the hybridization of Type‐2 Fuzzy System (T2FS) and Cuckoo Optimization Algorithm (COA) over the Software Defined Networks (SDN) is proposed in order to achieve optimal and reliable routes for telesurgery application. Using T2FS, the fitness of the links is determined; then, a COA is conducted over the Constraint Shortest Path (CSP) problem to find the best routes. Delay is considered as a CSP problem which is satisfied by trying to find the paths with minimum cost. Due to the NP‐completeness of the CSP problem, an Enhanced COA (so‐called E‐COA) is proposed and utilized as a metaheuristic solver. To the best of our knowledge, this paper is the first SDN‐based communication model that applies both T2FS and E‐COA for assigning proper costs to the network's links, and solves the consequence CSP problem according to the QoS requirement for telesurgery. The model also recognizes and preserves the second‐best routes in order to keep the reliability for such a critical application. In addition to the simulations, the performance evaluation is also conducted on a real experimental scenario. Many comparisons are carried out between the proposed model and other conventional methods, and the evaluation study shows the superiority of the proposed model on all the three QoS‐related metrics, i.e. average end‐to‐end delay, packet loss ratio and PSNR.

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U_{uv} = \frac{G_{italicuv}}{{italicBW}_{italicuv}}

where G uv is the available bandwidth of link (u, v) , BW uv is its total bandwidth, and U uv is considered as the cost of (u, v).…”

Section: Performance Evaluationmentioning

confidence: 99%

Telesurgery QoS improvement over SDN based on a Type‐2 fuzzy system and enhanced cuckoo optimization algorithm

Parsaei

Boveiri

Javidan

et al. 2020

Int J Communication

Self Cite

View full text Add to dashboard Cite

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“…For instance, for prediction model, we have probability (m1)⟵ 1 − 2 10 It goes without saying that the summation of all the probabilities should be 1 as the above example showed it. After calculating the probability of all constituent prediction models, we can easily choose one of them by Rolette wheel algorithm 29 and return the prediction value of the chosen prediction model as the output of this function (see lines 19 and 20).…”

Section: The Proposed Prediction-based Allocation Algorithmmentioning

confidence: 99%

A prediction‐based and power‐aware virtual machine allocation algorithm in three‐tier cloud data centers

Tarahomi

Izadi

2018

Int J Communication

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With the increasing popularity of cloud computing services, the more number of cloud data centers are constructed over the globe. This makes the power consumption of cloud data center elements as a big challenge. Hereby, several software and hardware approaches have been proposed to handle this issue. However, this problem has not been optimally solved yet. In this paper, we propose an online cloud resource management with live migration of virtual machines (VMs) to reduce power consumption. To do so, a prediction-based and power-aware virtual machine allocation algorithm is proposed. Also, we present a three-tier framework for energy-efficient resource management in cloud data centers. Experimental results indicate that the proposed solution reduces the power consumption; at the same time, service-level agreement violation (SLAV) is also improved.KEYWORDS cloud computing, dynamic consolidation, power efficiency, three-tier cloud data centers, virtual machine allocation, virtualization | INTRODUCTIONWith the increasing speed of the Internet over the world, the cloud computing technology is becoming more and more attractive for both customers and service providers. 1,2 The rapid increase in the popularity of cloud services has led to increase in the number of cloud customers. It leads to a daily increase in cloud service demands. That is why main cloud providers such as Amazon, IBM, and Google etc have forced to increase their number of cloud data centers. This makes cloud computing area as one of the most challenging areas in computer science today. It needs a markedly increase in the amount of monetary costs. Hence, there should be a push to have more efficiency in maintenance and execution costs. There has been proposed a number of approaches to get close to this aim; however, it needs much more work to reach optimality. One of these approaches is to reduce the amount of power consumed by cloud resources and other network elements. The less the amount of power consumed, the lower is the amount of monetary costs which has to be paid pack by cloud providers. 3,4 Regarding power and cost efficiency, the amount of carbon footprint has increased drastically due to the increasing amount of power consumption. Hence, reducing power consumption not only reduces the amount of monetary costs for cloud operations but also reduces the threat of a natural disaster. 5,6 To do so, the dynamic virtual machine (VM) consolidation by live migration over runtime is known as a popular and welcoming approach. 7 By this means, we can migrate in or/and out VMs among hosts. More precisely, VMs located on a host with low load (underloaded host) can be migrated out to other active hosts, and then, the host can be switched to

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“…This framework named OpenQoS causes video traffic flows optimally in the network and is received by destination with more quality. The controller created two paths between source and destination: one for common traffic (based on OSPF algorithm) and another for multimedia traffic (based on CSP model [23] and Optimization [24][25][26][27][28]). Simulation results showed that for both actual scenario and simulation one using this model decreased PSNR parameter of receiving video in the destination.…”

Section: Related Workmentioning

confidence: 99%

A New Architecture to Improve Multimedia QoS over Software Defined Networks

Parsaei¹,

Naderi²,

Javidan³

2018

IJCA

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Nowadays operators are forced to struggle with low level configurations and exclusives of network devices vendors to establish and maintain a secure connection and implement complex management policies on these devices. Software Defined Networks (SDN) are a new style of computer networks which provides new facilities and methods for network management and configuration by separating control level and data level. In order to improve the video Quality of Service (QoS) and increase the efficiency of the end-to-end performance, it is necessary to select the best route and implement QoS for videos, whilst there may be different routes between the transmitter and the receiver and due to network's complexity, discover the optimal route would be impossible. Hence the existing solution is a SDN with an overall view. In this paper, At First, QoS definitions are expressed. Second, traffic engineering methods in current networks is discussed. Finally, a new technique to improve QoS over SDN is proposed. Results of performance evaluation showed that the proposed method is better than existing methods.

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Topologies and performance of intelligent algorithms: a comprehensive review

Cited by 60 publications

References 98 publications

Telesurgery QoS improvement over SDN based on a Type‐2 fuzzy system and enhanced cuckoo optimization algorithm

Telesurgery QoS improvement over SDN based on a Type‐2 fuzzy system and enhanced cuckoo optimization algorithm

A prediction‐based and power‐aware virtual machine allocation algorithm in three‐tier cloud data centers

A New Architecture to Improve Multimedia QoS over Software Defined Networks

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