An SDN-enhanced load balancing technique in the cloud system.

Journal article


Kang, Byungseok and Choo, Hyunseung 2016. An SDN-enhanced load balancing technique in the cloud system. The Journal of Supercomputing. https://doi.org/10.1007/s11227-016-1936-z
AuthorsKang, Byungseok and Choo, Hyunseung
Abstract

The vast majority of Web services and sites are hosted in various kinds of cloud services, and ordering some level of quality of service (QoS) in such systems requires effective load-balancing policies that choose among multiple clouds. Recently, software-defined networking (SDN) is one of the most promising solutions for load balancing in cloud data center. SDN is characterized by its two distinguished features, including decoupling the control plane from the data plane and providing programmability for network application development. By using these technologies, SDN and cloud computing can improve cloud reliability, manageability, scalability and controllability. SDN-based cloud is a new type cloud in which SDN technology is used to acquire control on network infrastructure and to provide networking-as-a-service (NaaS) in cloud computing environments. In this paper, we introduce an SDN-enhanced Inter cloud Manager (S-ICM) that allocates network flows in the cloud environment. S-ICM consists of two main parts, monitoring and decision making. For monitoring, S-ICM uses SDN control message that observes and collects data, and decision-making is based on the measured network delay of packets. Measurements are used to compare S-ICM with a round robin (RR) allocation of jobs between clouds which spreads the workload equitably, and with a honeybee foraging algorithm (HFA). We see that S-ICM is better at avoiding system saturation than HFA and RR under heavy load formula using RR job scheduler. Measurements are also used to evaluate whether a simple queueing formula can be used to predict system performance for several clouds being operated under an RR scheduling policy, and show the validity of the theoretical approximation.

KeywordsSoftware defined networking (SDN); Cloud computing
Year2016
JournalThe Journal of Supercomputing
ISSN0920-8542
1573-0484
Digital Object Identifier (DOI)https://doi.org/10.1007/s11227-016-1936-z
Web address (URL)http://hdl.handle.net/10545/623879
hdl:10545/623879
Publication dates07 Dec 2016
Publication process dates
Deposited14 Jun 2019, 13:38
Accepted2016
ContributorsSungkyunkwan University
File
File Access Level
Open
Permalink -

https://repository.derby.ac.uk/item/92571/an-sdn-enhanced-load-balancing-technique-in-the-cloud-system

Download files

  • 47
    total views
  • 0
    total downloads
  • 1
    views this month
  • 0
    downloads this month

Export as

Related outputs

Internet of Planets (IoP): A New Era of the Internet
Kang, Byungseok, Malute, Francis, Bagdasar, Ovidiu and Hong, Choongseon 2021. Internet of Planets (IoP): A New Era of the Internet. IT Professional. 23 (3), pp. 76-81. https://doi.org/10.1109/mitp.2021.3068763
CloudIoT-based Jukebox Platform: a music player for mobile users in Café
Kang, Byungseok, Lee, Joohyun, Bagdasar, Ovidiu and Choo, Hyunseung 2020. CloudIoT-based Jukebox Platform: a music player for mobile users in Café. Journal of Internet Technology. https://doi.org/10.3966/160792642020092105012
A software platform for noise reduction in sound sensor equipped drones
Kang, Byungseok 2019. A software platform for noise reduction in sound sensor equipped drones. IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2019.2927370
A location aware fast PMIPv6 for low latency wireless sensor networks
Kang, Byungseok 2019. A location aware fast PMIPv6 for low latency wireless sensor networks. IEEE Sensors. https://doi.org/10.1109/JSEN.2019.2925637
Internet of everything: A large-scale autonomic IoT gateway
Kang, Byungseok, Kim, Daecheon and Choo, Hyunseung 2017. Internet of everything: A large-scale autonomic IoT gateway. IEEE Transactions on Multi-Scale Computing Systems. https://doi.org/10.1109/TMSCS.2017.2705683
A deep-learning-based emergency alert system
Kang, Byungseok and Choo, Hyunseung 2016. A deep-learning-based emergency alert system. ICT Express. https://doi.org/10.1016/j.icte.2016.05.001
A distributed delay-efficient data aggregation scheduling for duty-cycled WSNs
Kang, Byungseok, Nguyen, Phan, Zalyubouskiy, Vyacheslav and Choo, Hyunseung 2017. A distributed delay-efficient data aggregation scheduling for duty-cycled WSNs. IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2017.2692246
An experimental study of a reliable IoT gateway
Kang, Byungseok and Choo, Hyunseung 2017. An experimental study of a reliable IoT gateway. ICT Express. https://doi.org/10.1016/j.icte.2017.04.002
An energy efficient routing scheme by using GPS information for wireless sensor networks
Kang, Byungseok and Choo, Hyunseung 2018. An energy efficient routing scheme by using GPS information for wireless sensor networks. International Journal of Sensor Networks. https://doi.org/10.1504/IJSNET.2018.093130
Channel and timeslot co-scheduling with minimal channel switching for data aggregation in MWSNs.
Yeoum, Sanggil, Kang, Byungseok, Lee, Jinkyu and Choo, Hyunseung 2017. Channel and timeslot co-scheduling with minimal channel switching for data aggregation in MWSNs. Sensors. https://doi.org/10.3390/s17051030
Trail-using ant behavior based energy-efficient routing protocol in wireless sensor networks.
Jung, Soon-gyo, Kang, Byungseok, Yeoum, Sanggil and Choo, Hyunseung 2016. Trail-using ant behavior based energy-efficient routing protocol in wireless sensor networks. International Journal of Distributed Sensor Networks. https://doi.org/10.1155/2016/7350427
Distributed degree-based link scheduling for collision avoidance in wireless sensor networks.
Kang, Byungseok, Myoung, Sungho and Choo, Hyunseung 2016. Distributed degree-based link scheduling for collision avoidance in wireless sensor networks. IEEE Access. https://doi.org/10.1109/ACCESS.2016.2622720
Developing route optimization-based PMIPv6 testbed for reliable packet transmission.
Kang, Byungseok, Kwon, Namyeong and Choo, Hyunseung 2016. Developing route optimization-based PMIPv6 testbed for reliable packet transmission. IEEE Access. https://doi.org/10.1109/ACCESS.2016.2541164
A cluster-based decentralized job dispatching for the large-scale cloud.
Kang, Byungseok and Choo, Hyunseung 2016. A cluster-based decentralized job dispatching for the large-scale cloud. EURASIP Journal on Wireless Communications and Networking. https://doi.org/10.1186/s13638-016-0523-6