Resource provisioning for cloud PON AWGR-based data center architecture

Hammadi, Ali; Musa, Mohamad Zain; El-Gorashi, Taisir E. H.; Elmirghani, Jaafar M. H.

doi:10.1109/noc.2016.7507009

Cited by 30 publications

(17 citation statements)

References 14 publications

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“…Scalability: From the market-perspective, the ability to support a rapid growth of dynamic service demands, without compromising the network's efficiency and the network cost is a critical issue. Converting both infrastructure and operational costs into a scalable expenses that reflect the actual use of the resources is a promising option for many operators, especially those interested in getting more while spending less in their infrastructures [19]. Moreover, the logically infinite on-demand capacities of the cloud DCNs represents another attractive feature that provides fast support for any immediate-demanding applications to be deployed easily, without complex management and time consuming operations.…”

Section: Benefits Of Adopting Cloud Computingmentioning

confidence: 99%

Interconnection Structures, Management and Routing Challenges in Cloud-Service Data Center Networks: A Survey

Quttoum

2018

Int. J. Interact. Mob. Technol.

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Abstract-Today's data center networks employ expensive networking equipments in associated structures that were not designed to meet the increasing requirements of the current large-scale data center services. Limitations that vary between reliability, resource utilization, and high costs are challenging. The era of cloud computing represents a promise to enable large-scale data centers. Computing platforms of such cloud service data centers consist of large number of commodity low-price servers that, with a theme of virtualization on top, can meet the performance of the expensive high-level servers at only a fraction of the price. Recently, the research in data center networks started to evolve rapidly. This opened the path for addressing many of its design and management challenges, these like scalability, reliability, bandwidth capacities, virtual machines' migration, and cost. Bandwidth resource fragmentation limits the network agility, and leads to low utilization rates, not only for the bandwidth resources, but also for the servers that run the applications. With Traffic Engineering methods, managers of such networks can adapt for rapid changes in the network traffic among their servers, this can help to provide better resource utilization and lower costs. The market is going through exciting changes, and the need to run demanding-scale services drives the work toward cloud networks. These networks that are enabled by the notation of autonomic management, and the availability of commodity low-price network equipments. This work provides the readers with a survey that presents the management challenges, design and operational constraints of the cloud-service data center networks..

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Section: Benefits Of Adopting Cloud Computingmentioning

confidence: 99%

Interconnection Structures, Management and Routing Challenges in Cloud-Service Data Center Networks: A Survey

Quttoum

2018

Int. J. Interact. Mob. Technol.

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“…The first main segment of the network is the rack and it is defined as a PON group. In a PON group a number of servers say 16 -32 are connected together via one of the three technologies depicted in Figure 1(c) and described in details in [2] and [14].…”

Section: The Architecture Of the Awgr Based Pon Data Center Networkmentioning

confidence: 99%

“…The work in [13] demonstrated the optimization mathematical results for minimizing the power consumption of a PON cell through efficient placement of Virtual Machines (VM). In [14], further investigation of the design presented in [9] and [12] is carried. The work tackled the problem of resource provisioning optimization for cloud applications addressing delay and non-delay sensitive applications.…”

Section: Introductionmentioning

confidence: 99%

Mathematical Optimization Modelling for Fast-Switched and Delay Minimized Scheduling for Intra-Cell Communication in an AWGR-Based PON Data Center

Hammadi¹

2017

IJCNS

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As the internet traffic along with the processing power in data centers are exponentially growing, the need for the design of energy efficient with highly elastic networking infrastructure to support the different applications and cloud services that can be hosted in data centers have become a hot research area. A key departure from the norm is that conventional routers and switches in conventional data centers are replaced with high performance Passive Optical Networks (PONs) to take over the role of routing and traffic forwarding through efficient resource provisioning algorithms. In this paper, the different aspects of PONs in the design of energy efficient, high capacity, and highly elastic networking infrastructures to support the applications and services hosted by modern data centers are considered. In this work, a mathematical optimization model for energy-efficient and delay-minimized scheduling in AWGR based PON data center for PON cell fabric configuration will be presented. The performance of the proposed architecture in terms of efficient scheduling against average delay and power consumption for different traffic loads and patterns will be evaluated. Different scenarios of traffic; random and unbalanced with hotspots are examined to evaluate the average delay and power consumption with and without sleep mode. Results have shown that with sleep mode enabled, power savings for two evaluated objective functions have shown similar results when examining different traffic patterns. The power savings range between 8% and 55% during low and high load activities, respectively. However, minimization of delay model has shown improvement in reducing total average delay reaching up to 42% if compared with the model with objective of minimization of power consumption.

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“…Optical data centre architectures, precisely Passive Optical Networks (PONs), with their proven performance in access networks can provide efficient solutions to support connectivity inside modern data centres [1]. In this regard, we proposed different novel PON architectures to manage the inter-rack and intra-rack communication of a data centre as in [2][3][4][5][6]. In this paper, we further study one of the PON designs proposed in [6] where routing is performed by Arrayed Waveguide Grating Routers (AWGRs) and servers.…”

Section: Introductionmentioning

confidence: 99%