A Load-Balanced Call Admission Controller for IMS Cloud Computing

Montazerolghaem, Ahmadreza; Yaghmaee, Mohammad Hossein; Leon-Garcia, Alberto; Naghibzadeh, Mahmoud; Tashtarian, Farzad

doi:10.1109/tnsm.2016.2572161

Cited by 25 publications

(12 citation statements)

References 25 publications

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“…Analytic hierarchy process method provides better solutions than SA, GA, and PSO. 19 Montazerolghaem et al 20 presented load-balanced call admission controller for cloud computing, which suitable networked cloud environment. Mohammad et al proposed a load balancing model, and overloaded adjusting choices are made helpfully thinking about running procedures and asset limits and utilization patterns.…”

Section: Related Workmentioning

confidence: 99%

An efficient load balancing using seven stone game optimization in cloud computing

Karthikeyan

2021

Softw Pract Exp

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Cloud computing offers massive processing power to cloud client to solve the scientific, financial forecasting, and weather forecasting applications. The process of distributing to the load to the different cloud service providers is a complex problem. Cloud service providers have different types of virtual machines with different computing power types in multi-layered architectures. Various optimization works have been proposed to tackle the load balancing problem in cloud service providers. Improving performance in load balancing is a cumbersome task. Seven stone game optimization (SSGO) is designed based on the south Indian seven stone game workflow. The proposed method's foremost ambition is to reduce makespan time and maximize cloud service providers' utilization. The proposed method was simulated, and results demonstrate that minimizes the makespan time and maximizes the resource utilization than the particle swarm optimization (PSO), genetic algorithm (GA), simulated annealing (SA), and Tabu search (TS). The experimental results show that the SSGO provides 4% more resource utilization than PSO, 5% more than GA, and 7% more than SA and 10% more than TS.

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Section: Related Workmentioning

confidence: 99%

An efficient load balancing using seven stone game optimization in cloud computing

Karthikeyan

2021

Softw Pract Exp

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“…Montazerolghaem et al proposed a virtual load balanced call admission controller (VLB‐CAC) for the cloud‐hosted SIP servers in IMS . They considered a two‐tier cloud consisting of one core and large data center and some smart edges.…”

Section: Related Workmentioning

confidence: 99%

“…Montazerolghaem et al proposed a virtual load balanced call admission controller (VLB-CAC) for the cloud-hosted SIP servers in IMS. 26 They considered a two-tier cloud consisting of one core and large data center and some smart edges. The smart edges were typically a small data centers and geographically close to end users, thus resulting in low network latency.…”

Section: Studies On Multi-site or Multi-domain Uc Systemsmentioning

confidence: 99%

Networking of multi‐domain unified communications systems: Structure design and performance evaluation

Shen

Chen

Gong

et al. 2018

Concurrency and Computation

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Summary UC (Unified Communications) can integrate different terminals and media and has played an important role in some enterprises. However, for large UC system with multiple domains, there still exist unsolved issues such as large call delay, overlay management overhead, and bandwidth costliness. In this paper, the hierarchal structure, call routing, and bandwidth usage of the multi‐domain UC system are studied. After describing the architecture of the multi‐domain UC system, a no‐worse‐than‐two‐hop query algorithm based on P2P is proposed for inter domain call, and it is showed that 80% users can finish call query in one hop based on the derived performance formulas. Then, the typical transmission networking structure is designed with an overlay between provincial domains, and the bandwidth requirements of signaling and media traffics are estimated. By comparing the performances of overlays with mesh, star, and hybrid topologies, the hybrid overlay topology is showed to be the best choice in terms of cost and manageability for the typical traffic distribution. In the overlay with hybrid topology, the media traffic routes can be controlled dynamically with SDN (Software Defined Network), and the overlay bandwidth reserved can be used efficiently with utilization up to 84%, thus demonstrating the technical and economic feasibilities of the proposed transmission overlay.

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“…Furthermore, virtualization technology for network functions can help improve resource management by virtualizing a variety of devices and network functions and autoscaling techniques. This can be done by optimally allocating resources as needed [16]. For example, during peak load times when the overload probability is high, it can be possible to increase network resources such as servers (scaling up) or to reduce the resources of inactive network servers (scaling down).…”

Section: Introductionmentioning

confidence: 99%

Optimizing VoIP server resources using linear programming model and autoscaling technique: An SDN approach

Montazerolghaem

2021

Concurrency and Computation

Self Cite

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Summary Nowadays, the Voice Over IP (VoIP) technology is an important component of the communications industry as well as a low‐cost alternative to Public Switched Telephone Networks. Communication in VoIP networks consists of two main phases, for example, signaling and media exchange. VoIP servers are responsible for signaling exchange using the Session Initiation Protocol (SIP) as the signaling protocol. The saturation of SIP server resources is one of the issues with the VoIP network, which causes problems such as overload or loss of energy. Resource saturation occurs mainly due to a lack of integrated server resource management. In the traditional VoIP networks, management and routing are distributed among all equipment, including servers. These servers are overloaded during peak times and face energy loss during idle times. Given the importance of this issue, this paper introduces a framework based on Software‐Defined Networking technology for SIP server resource management. The advantage of this framework is to have a global view of all the server resources. In this framework, the resource allocation optimization problem and resource autoscaling are presented to deal with the problems posed. The goal is to maximize total throughput and minimize energy consumption. In this regard, we seek to strike a balance between efficiency and energy. The proposed framework is implemented in the actual testbed. The results show that the proposed framework has succeeded in achieving these goals.

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A Load-Balanced Call Admission Controller for IMS Cloud Computing

Cited by 25 publications

References 25 publications

An efficient load balancing using seven stone game optimization in cloud computing

An efficient load balancing using seven stone game optimization in cloud computing

Networking of multi‐domain unified communications systems: Structure design and performance evaluation

Optimizing VoIP server resources using linear programming model and autoscaling technique: An SDN approach

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