The Experts below are selected from a list of 498 Experts worldwide ranked by ideXlab platform

Chung-horng Lung - One of the best experts on this subject based on the ideXlab platform.

  • segment routing green Spine Switch management systems for data center networks
    IEEE Conference Dependable and Secure Computing, 2018
    Co-Authors: Ose Osamudiamen, Chung-horng Lung
    Abstract:

    The datacenter is the core of most IT industries today. As a result, due to the exponential increase of information and services demanded from datacenters, it is projected that 14.1 zeta bytes of bandwidth would be needed to meet the current demands of data by the end of 2020 in USA datacenters alone. This would require a tremendous amount of energy to run those datacenters. Hence, in recent years there is more focus on reducing the energy consumption in a datacenter. This paper approaches this problem by utilizing Segment Routing based Green Spine Switch Management System (SR-GSSMS) to have an efficient bandwidth usage. The proposed approach makes it possible to deactivate some low utilized Spine Switches and links on the datacenter networks, which results in energy savings. The system also maintains the network performance when congestion or a link failure occurs. Our experimental results yielded up to a 78% energy savings on the Spine-links, while maintaining the same traffic requirements.

  • Green Spine Switch management for datacenter networks
    Journal of Cloud Computing, 2016
    Co-Authors: Chung-horng Lung, Shikharesh Majumdar
    Abstract:

    Energy consumption for datacenter has grown significantly and the trend is still growing due to the increasing popularity of cloud computing. Datacenter networks (DCNs), however, are starting to consume a greater portion of overall energy in comparison to servers used in datacenters due to advanced virtualization techniques. On the other hand, devices in a DCN often remain under-utilized. There are various DCN architectures. This paper proposes an approach called Green Spine Switch Management System (GSSMS) for Spine-Leaf topology based DCNs. The objective of the approach is to reduce energy consumption used by the network for a Spine-Leaf topology-based datacenter. The primary idea of GSSMS is to monitor the dynamic workload and only keep Spine Switches that are necessary for handling the current network traffic. We have developed an adaptive management system to control the number of Spine Switches in a Spine-Leaf DCN for efficient energy consumption. Further, we have performed extensive simulation using CloudSim for a number of scenarios. The simulation results demonstrate that our proposed GSSMS can effectively save energy by as much as 63 % of the energy consumed by a datacenter comprising a fixed static set of Spine Switches.

  • energy aware green Spine Switch management for Spine leaf datacenter networks
    International Conference on Communications, 2015
    Co-Authors: Chung-horng Lung, Shikharesh Majumdar
    Abstract:

    A significant proportion of the operational cost for datacenters is attributed to their energy consumption. Using advanced virtualization techniques in datacenters is enabling the control of electricity use in servers. However, as servers are becoming more energy-proportional, datacenter networks are starting to consume a greater portion of overall power although networks devices often remain under-utilized. This paper proposes an energy aware management technique for reducing the consumption of energy by the network for a Spine-Leaf topology-based datacenter. The main idea of the system is to keep track of the dynamic workload and enable only Switches that are necessary for handling the current network traffic. We have developed an energy aware management system for dynamically controlling the number of Spine Switches in Spine-Leaf datacenter networks and performed simulation using CloudSim for a number of scenarios. The simulation results show that the system can work effectively to save energy by as much as 63% of the energy consumed by a datacenter comprising a fixed static set of Spine Switches.

Ose Osamudiamen - One of the best experts on this subject based on the ideXlab platform.

  • segment routing green Spine Switch management systems for data center networks
    IEEE Conference Dependable and Secure Computing, 2018
    Co-Authors: Ose Osamudiamen, Chung-horng Lung
    Abstract:

    The datacenter is the core of most IT industries today. As a result, due to the exponential increase of information and services demanded from datacenters, it is projected that 14.1 zeta bytes of bandwidth would be needed to meet the current demands of data by the end of 2020 in USA datacenters alone. This would require a tremendous amount of energy to run those datacenters. Hence, in recent years there is more focus on reducing the energy consumption in a datacenter. This paper approaches this problem by utilizing Segment Routing based Green Spine Switch Management System (SR-GSSMS) to have an efficient bandwidth usage. The proposed approach makes it possible to deactivate some low utilized Spine Switches and links on the datacenter networks, which results in energy savings. The system also maintains the network performance when congestion or a link failure occurs. Our experimental results yielded up to a 78% energy savings on the Spine-links, while maintaining the same traffic requirements.

  • segment routing green Spine Switch management system for dcn
    2018
    Co-Authors: Ose Osamudiamen
    Abstract:

    Abstract It is without a doubt that the data center is the core of most IT industries, providing services to billions of users today. Furthermore, due to the exponential increase of information and services from datacenters, it is projected that a 14.1 zeta bits of bandwidth would be needed to meet the current demands of data by the end of 2020 in USA data centers alone. This requires a tremendous amount of energy to run those data centers. To reduce the energy consumption of a data center, this thesis approaches this problem by utilizing Segment Routing and Traffic Engineering to have an efficient the bandwidth usage. The proposed approach makes it possible to deactivate Spine Switches and links on the data center networks, which results in energy savings. The experimental results yielded up approximately 78% energy savings, whilst maintaining an average similar traffic performance.

Shikharesh Majumdar - One of the best experts on this subject based on the ideXlab platform.

  • Green Spine Switch management for datacenter networks
    Journal of Cloud Computing, 2016
    Co-Authors: Chung-horng Lung, Shikharesh Majumdar
    Abstract:

    Energy consumption for datacenter has grown significantly and the trend is still growing due to the increasing popularity of cloud computing. Datacenter networks (DCNs), however, are starting to consume a greater portion of overall energy in comparison to servers used in datacenters due to advanced virtualization techniques. On the other hand, devices in a DCN often remain under-utilized. There are various DCN architectures. This paper proposes an approach called Green Spine Switch Management System (GSSMS) for Spine-Leaf topology based DCNs. The objective of the approach is to reduce energy consumption used by the network for a Spine-Leaf topology-based datacenter. The primary idea of GSSMS is to monitor the dynamic workload and only keep Spine Switches that are necessary for handling the current network traffic. We have developed an adaptive management system to control the number of Spine Switches in a Spine-Leaf DCN for efficient energy consumption. Further, we have performed extensive simulation using CloudSim for a number of scenarios. The simulation results demonstrate that our proposed GSSMS can effectively save energy by as much as 63 % of the energy consumed by a datacenter comprising a fixed static set of Spine Switches.

  • energy aware green Spine Switch management for Spine leaf datacenter networks
    International Conference on Communications, 2015
    Co-Authors: Chung-horng Lung, Shikharesh Majumdar
    Abstract:

    A significant proportion of the operational cost for datacenters is attributed to their energy consumption. Using advanced virtualization techniques in datacenters is enabling the control of electricity use in servers. However, as servers are becoming more energy-proportional, datacenter networks are starting to consume a greater portion of overall power although networks devices often remain under-utilized. This paper proposes an energy aware management technique for reducing the consumption of energy by the network for a Spine-Leaf topology-based datacenter. The main idea of the system is to keep track of the dynamic workload and enable only Switches that are necessary for handling the current network traffic. We have developed an energy aware management system for dynamically controlling the number of Spine Switches in Spine-Leaf datacenter networks and performed simulation using CloudSim for a number of scenarios. The simulation results show that the system can work effectively to save energy by as much as 63% of the energy consumed by a datacenter comprising a fixed static set of Spine Switches.

Jaafar M H Elmirghani - One of the best experts on this subject based on the ideXlab platform.

  • data center top of rack Switch to multiple Spine Switches optical wireless uplinks
    arXiv: Signal Processing, 2020
    Co-Authors: Abrar S Alhazmi, Osama Zwaid Alsulami, Mohammed Thamer Alresheedi, Taisir E H Elgorashi, Jaafar M H Elmirghani
    Abstract:

    Infrared (IR) uplinks can achieve high data rates, which are essential in a range of applications. This paper introduces a novel approach to enable data centre uplink communication. We introduce a novel method to enable communication between racks and Spine Switches. In our proposed data centre, we consider three racks, each of which has its own angle diversity transmitter (ADT) that is located on top of the rack. Four wide field of view receivers are fixed to the ceiling of the data centre. Each such receiver is connected to a Spine Switch. We evaluate the performance of our proposed system when each link operates at a data rate above 2.8 Gb/s. Multiple links can be used to achieve higher data rates using the space or wavelength dimensions. The results show that our proposed system has the ability to work at a high data rate with good performance while using simple on-off-keying.

Majumdar S. - One of the best experts on this subject based on the ideXlab platform.

  • Green Spine Switch management for datacenter networks
    'Springer Science and Business Media LLC', 2016
    Co-Authors: Li X., Lung C.h., Majumdar S.
    Abstract:

    Energy consumption for datacenter has grown significantly and the trend is still growing due to the increasing popularity of cloud computing. Datacenter networks (DCNs), however, are starting to consume a greater portion of overall energy in comparison to servers used in datacenters due to advanced virtualization techniques. On the other hand, devices in a DCN often remain under-utilized. There are various DCN architectures. This paper proposes an approach called Green Spine Switch Management System (GSSMS) for Spine-Leaf topology based DCNs. The objective of the approach is to reduce energy consumption used by the network for a Spine-Leaf topology-based datacenter. The primary idea of GSSMS is to monitor the dynamic workload and only keep Spine Switches that are necessary for handling the current network traffic. We have developed an adaptive management system to control the number of Spine Switches in a Spine-Leaf DCN for efficient energy consumption. Further, we hav