ESCALB: An effective slave controller allocation-based load balancing scheme for multi-domain SDN-enabled-IoT networks
In software-defined networking (SDN), several controllers improve the reliability as well as the scalability of networks such as the Internet-of-Things (IoT), with the distributed control plan. To achieve optimal results in IoT networks, an SDN can be employed to reduce the complexity associated wit...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-06-01
|
| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157823001209 |
| _version_ | 1797796151553949696 |
|---|---|
| author | Jehad Ali Rutvij H. Jhaveri Mohannad Alswailim Byeong-hee Roh |
| author_facet | Jehad Ali Rutvij H. Jhaveri Mohannad Alswailim Byeong-hee Roh |
| author_sort | Jehad Ali |
| collection | DOAJ |
| description | In software-defined networking (SDN), several controllers improve the reliability as well as the scalability of networks such as the Internet-of-Things (IoT), with the distributed control plan. To achieve optimal results in IoT networks, an SDN can be employed to reduce the complexity associated with IoT and provide an improved quality-of-service (QoS). With time, it is likely expected that the demand for IoT will rise, and a large number of sensors will be connected, which can generate huge network traffic. With these possibilities, the SDN controllers processing capacity will be surpassed by the traffic sent by the IoT sensors. To handle this kind of challenge, and achieve promising results, a dynamic slave controller allocation with a premeditated mechanism can play a pivotal role to accomplish the task management and migration plan. Following this, we proposed an efficient slave controller allocation-based load balancing approach for a multi-domain SDN-enabled IoT network, which aims to transfer switches to a controller with idle resources effectively. Among several slave controllers for selecting a target controller, a multi-criteria decision-making (MCDM) strategy, i.e., an analytical network process (ANP) has been used in our approach to enrich communication metrics and maintain high-standard QoS statistics. Moreover, switch migration is modeled with knapsack 0/1 problem to achieve maximum utilization of the slave controllers. Our proposed scheme enabled with a flexible decision-making process for selecting controllers with varying resources. The results demonstrated with emulation environment show the effectiveness of the ESCALB. |
| first_indexed | 2024-03-13T03:28:46Z |
| format | Article |
| id | doaj.art-d1c9d3ede6bd4e9ba11076babea3321d |
| institution | Directory Open Access Journal |
| issn | 1319-1578 |
| language | English |
| last_indexed | 2024-03-13T03:28:46Z |
| publishDate | 2023-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of King Saud University: Computer and Information Sciences |
| spelling | doaj.art-d1c9d3ede6bd4e9ba11076babea3321d2023-06-25T04:42:41ZengElsevierJournal of King Saud University: Computer and Information Sciences1319-15782023-06-01356101566ESCALB: An effective slave controller allocation-based load balancing scheme for multi-domain SDN-enabled-IoT networksJehad Ali0Rutvij H. Jhaveri1Mohannad Alswailim2Byeong-hee Roh3Department of AI Convergence Network, Ajou University, Suwon 16499, South KoreaDepartment of Electronics Engineering, Pandit Deendayal Energy University, Gandhinagar, IndiaDepartment of Management Information Systems and Production Management, College of Business and Economics, Qassim University, P.O. Box: 6640, Buraidah 51452, Saudi ArabiaDepartment of AI Convergence Network, Ajou University, Suwon 16499, South Korea; Corresponding author.In software-defined networking (SDN), several controllers improve the reliability as well as the scalability of networks such as the Internet-of-Things (IoT), with the distributed control plan. To achieve optimal results in IoT networks, an SDN can be employed to reduce the complexity associated with IoT and provide an improved quality-of-service (QoS). With time, it is likely expected that the demand for IoT will rise, and a large number of sensors will be connected, which can generate huge network traffic. With these possibilities, the SDN controllers processing capacity will be surpassed by the traffic sent by the IoT sensors. To handle this kind of challenge, and achieve promising results, a dynamic slave controller allocation with a premeditated mechanism can play a pivotal role to accomplish the task management and migration plan. Following this, we proposed an efficient slave controller allocation-based load balancing approach for a multi-domain SDN-enabled IoT network, which aims to transfer switches to a controller with idle resources effectively. Among several slave controllers for selecting a target controller, a multi-criteria decision-making (MCDM) strategy, i.e., an analytical network process (ANP) has been used in our approach to enrich communication metrics and maintain high-standard QoS statistics. Moreover, switch migration is modeled with knapsack 0/1 problem to achieve maximum utilization of the slave controllers. Our proposed scheme enabled with a flexible decision-making process for selecting controllers with varying resources. The results demonstrated with emulation environment show the effectiveness of the ESCALB.http://www.sciencedirect.com/science/article/pii/S1319157823001209Software-defined networkingInternet of Things (IoT)ControllerAnalytical network process (ANP)Load balancing |
| spellingShingle | Jehad Ali Rutvij H. Jhaveri Mohannad Alswailim Byeong-hee Roh ESCALB: An effective slave controller allocation-based load balancing scheme for multi-domain SDN-enabled-IoT networks Journal of King Saud University: Computer and Information Sciences Software-defined networking Internet of Things (IoT) Controller Analytical network process (ANP) Load balancing |
| title | ESCALB: An effective slave controller allocation-based load balancing scheme for multi-domain SDN-enabled-IoT networks |
| title_full | ESCALB: An effective slave controller allocation-based load balancing scheme for multi-domain SDN-enabled-IoT networks |
| title_fullStr | ESCALB: An effective slave controller allocation-based load balancing scheme for multi-domain SDN-enabled-IoT networks |
| title_full_unstemmed | ESCALB: An effective slave controller allocation-based load balancing scheme for multi-domain SDN-enabled-IoT networks |
| title_short | ESCALB: An effective slave controller allocation-based load balancing scheme for multi-domain SDN-enabled-IoT networks |
| title_sort | escalb an effective slave controller allocation based load balancing scheme for multi domain sdn enabled iot networks |
| topic | Software-defined networking Internet of Things (IoT) Controller Analytical network process (ANP) Load balancing |
| url | http://www.sciencedirect.com/science/article/pii/S1319157823001209 |
| work_keys_str_mv | AT jehadali escalbaneffectiveslavecontrollerallocationbasedloadbalancingschemeformultidomainsdnenablediotnetworks AT rutvijhjhaveri escalbaneffectiveslavecontrollerallocationbasedloadbalancingschemeformultidomainsdnenablediotnetworks AT mohannadalswailim escalbaneffectiveslavecontrollerallocationbasedloadbalancingschemeformultidomainsdnenablediotnetworks AT byeongheeroh escalbaneffectiveslavecontrollerallocationbasedloadbalancingschemeformultidomainsdnenablediotnetworks |