In software-defined networks(SDNs),controller placement is a critical factor in the design and planning for the future Internet of Things(IoT),telecommunication,and satellite communication systems.Existing research ha...In software-defined networks(SDNs),controller placement is a critical factor in the design and planning for the future Internet of Things(IoT),telecommunication,and satellite communication systems.Existing research has concentrated largely on factors such as reliability,latency,controller capacity,propagation delay,and energy consumption.However,SDNs are vulnerable to distributed denial of service(DDoS)attacks that interfere with legitimate use of the network.The ever-increasing frequency of DDoS attacks has made it necessary to consider them in network design,especially in critical applications such as military,health care,and financial services networks requiring high availability.We propose a mathematical model for planning the deployment of SDN smart backup controllers(SBCs)to preserve service in the presence of DDoS attacks.Given a number of input parameters,our model has two distinct capabilities.First,it determines the optimal number of primary controllers to place at specific locations or nodes under normal operating conditions.Second,it recommends an optimal number of smart backup controllers for use with different levels of DDoS attacks.The goal of the model is to improve resistance to DDoS attacks while optimizing the overall cost based on the parameters.Our simulated results demonstrate that the model is useful in planning for SDN reliability in the presence of DDoS attacks while managing the overall cost.展开更多
In the design and planning of next-generation Internet of Things(IoT),telecommunication,and satellite communication systems,controller placement is crucial in software-defined networking(SDN).The programmability of th...In the design and planning of next-generation Internet of Things(IoT),telecommunication,and satellite communication systems,controller placement is crucial in software-defined networking(SDN).The programmability of the SDN controller is sophisticated for the centralized control system of the entire network.Nevertheless,it creates a significant loophole for the manifestation of a distributed denial of service(DDoS)attack straightforwardly.Furthermore,recently a Distributed Reflected Denial of Service(DRDoS)attack,an unusual DDoS attack,has been detected.However,minimal deliberation has given to this forthcoming single point of SDN infrastructure failure problem.Moreover,recently the high frequencies of DDoS attacks have increased dramatically.In this paper,a smart algorithm for planning SDN smart backup controllers under DDoS attack scenarios has proposed.Our proposed smart algorithm can recommend single or multiple smart backup controllers in the event of DDoS occurrence.The obtained simulated results demonstrate that the validation of the proposed algorithm and the performance analysis achieved 99.99%accuracy in placing the smart backup controller under DDoS attacks within 0.125 to 46508.7 s in SDN.展开更多
Cloud computing is a novel computing paradigm that utilizes remote cloud resources to achieve a high-performance computation.Cloud provides infrastructure,platform and software as different on-demand services.China ha...Cloud computing is a novel computing paradigm that utilizes remote cloud resources to achieve a high-performance computation.Cloud provides infrastructure,platform and software as different on-demand services.China has made remarkable progress in cloudbased products and operating system technology.The government,enterprises and research institutions are all active in the development of cloud computing-related projects.Despite the progress,many important展开更多
Computing,serving as the cornerstone of information processing,plays a pivotal role in the digital service era.The"network"and"computing,"responsible for information transmission and processing res...Computing,serving as the cornerstone of information processing,plays a pivotal role in the digital service era.The"network"and"computing,"responsible for information transmission and processing respectively,traditionally belong to different stakeholders and have evolved separately.However,the recent trend toward the coordination and integration of computing and networks has garnered significant attention from both industry and academia.Concepts such as"computility network"and"computing force network"have emerged,and the International Telecommunication Union-Telecommunication Standardization(ITU-T)has initiated efforts to develop standards for the coordination of networking and computing(CNC),focusing on the architecture and framework.展开更多
Load balancing is vital for the efficient and long-term operation of cloud data centers.With virtualization,post(reactive)migration of virtual machines(VMs)after allocation is the traditional way for load balancing an...Load balancing is vital for the efficient and long-term operation of cloud data centers.With virtualization,post(reactive)migration of virtual machines(VMs)after allocation is the traditional way for load balancing and consolidation.However,it is not easy for reactive migration to obtain predefined load balance objectives and it may interrupt services and bring instability.Therefore,we provide a new approach,called Prepartition,for load balancing.It partitions a VM request into a few sub-requests sequentially with start time,end time and capacity demands,and treats each sub-request as a regular VM request.In this way,it can proactively set a bound for each VM request on each physical machine and makes the scheduler get ready before VM migration to obtain the predefined load balancing goal,which supports the resource allocation in a fine-grained manner.Simulations with real-world trace and synthetic data show that our proposed approach with offline version(PrepartitionOff)scheduling has 10%–20%better performance than the existing load balancing baselines under several metrics,including average utilization,imbalance degree,makespan and Capacity_makespan.We also extend Prepartition to online load balancing.Evaluation results show that our proposed approach also outperforms state-of-the-art online algorithms.展开更多
As the chairs of the 8th International Conference of Pioneering Computer Scientists,Engineers and Educators 2023(ICPCSEE 2023,originally ICYCSEE),it is our great pleasure to welcome you to the conference proceedings.I...As the chairs of the 8th International Conference of Pioneering Computer Scientists,Engineers and Educators 2023(ICPCSEE 2023,originally ICYCSEE),it is our great pleasure to welcome you to the conference proceedings.ICPCSEE 2023 was held in Harbin,China,during September 22–24,2023,and hosted by the Harbin Engineering University,the Harbin Institute of Technology,the Northeast Forestry University,the Harbin University of Science and Technology,the Heilongjiang Computer Federation,and the National Academy of Guo Ding Institute of Data Sciences.The goal of this conference series is to provide a forum for computer scientists,engineers,and educators.展开更多
As the chairs of the 8th International Conference of Pioneering Computer Scientists,Engineers and Educators 2023(ICPCSEE 2023,originally ICYCSEE),it is our great pleasure to welcome you to the conference proceedings.I...As the chairs of the 8th International Conference of Pioneering Computer Scientists,Engineers and Educators 2023(ICPCSEE 2023,originally ICYCSEE),it is our great pleasure to welcome you to the conference proceedings.ICPCSEE 2023 was held in Harbin,China,during September 22–24,2023,and hosted by the Harbin Engineering University,the Harbin Institute of Technology,the Northeast Forestry University,the Harbin University of Science and Technology,the Heilongjiang Computer Federation,and the National Academy of Guo Ding Institute of Data Sciences.The goal of this conference series is to provide a forum for computer scientists,engineers,and educators.展开更多
基金This research work was funded by TMR&D Sdn Bhd under project code RDTC160902.
文摘In software-defined networks(SDNs),controller placement is a critical factor in the design and planning for the future Internet of Things(IoT),telecommunication,and satellite communication systems.Existing research has concentrated largely on factors such as reliability,latency,controller capacity,propagation delay,and energy consumption.However,SDNs are vulnerable to distributed denial of service(DDoS)attacks that interfere with legitimate use of the network.The ever-increasing frequency of DDoS attacks has made it necessary to consider them in network design,especially in critical applications such as military,health care,and financial services networks requiring high availability.We propose a mathematical model for planning the deployment of SDN smart backup controllers(SBCs)to preserve service in the presence of DDoS attacks.Given a number of input parameters,our model has two distinct capabilities.First,it determines the optimal number of primary controllers to place at specific locations or nodes under normal operating conditions.Second,it recommends an optimal number of smart backup controllers for use with different levels of DDoS attacks.The goal of the model is to improve resistance to DDoS attacks while optimizing the overall cost based on the parameters.Our simulated results demonstrate that the model is useful in planning for SDN reliability in the presence of DDoS attacks while managing the overall cost.
基金TM R&D Sdn Bhd fully supports this research work under Project RDTC160902.S.C.Tan and Z.Yusoff received the fund.Sponsors’Website:https://www.tmrnd.com.my.
文摘In the design and planning of next-generation Internet of Things(IoT),telecommunication,and satellite communication systems,controller placement is crucial in software-defined networking(SDN).The programmability of the SDN controller is sophisticated for the centralized control system of the entire network.Nevertheless,it creates a significant loophole for the manifestation of a distributed denial of service(DDoS)attack straightforwardly.Furthermore,recently a Distributed Reflected Denial of Service(DRDoS)attack,an unusual DDoS attack,has been detected.However,minimal deliberation has given to this forthcoming single point of SDN infrastructure failure problem.Moreover,recently the high frequencies of DDoS attacks have increased dramatically.In this paper,a smart algorithm for planning SDN smart backup controllers under DDoS attack scenarios has proposed.Our proposed smart algorithm can recommend single or multiple smart backup controllers in the event of DDoS occurrence.The obtained simulated results demonstrate that the validation of the proposed algorithm and the performance analysis achieved 99.99%accuracy in placing the smart backup controller under DDoS attacks within 0.125 to 46508.7 s in SDN.
文摘Cloud computing is a novel computing paradigm that utilizes remote cloud resources to achieve a high-performance computation.Cloud provides infrastructure,platform and software as different on-demand services.China has made remarkable progress in cloudbased products and operating system technology.The government,enterprises and research institutions are all active in the development of cloud computing-related projects.Despite the progress,many important
文摘Computing,serving as the cornerstone of information processing,plays a pivotal role in the digital service era.The"network"and"computing,"responsible for information transmission and processing respectively,traditionally belong to different stakeholders and have evolved separately.However,the recent trend toward the coordination and integration of computing and networks has garnered significant attention from both industry and academia.Concepts such as"computility network"and"computing force network"have emerged,and the International Telecommunication Union-Telecommunication Standardization(ITU-T)has initiated efforts to develop standards for the coordination of networking and computing(CNC),focusing on the architecture and framework.
基金supported by Shenzhen Industrial Application Projects of undertaking the National Key Research and Development Program of China under Grant No.CJGJZD20210408091600002the National Natural Science Foundation of China under Grant No.62102408Shenzhen Science and Technology Program under Grant No.RCBS20210609104609044.
文摘Load balancing is vital for the efficient and long-term operation of cloud data centers.With virtualization,post(reactive)migration of virtual machines(VMs)after allocation is the traditional way for load balancing and consolidation.However,it is not easy for reactive migration to obtain predefined load balance objectives and it may interrupt services and bring instability.Therefore,we provide a new approach,called Prepartition,for load balancing.It partitions a VM request into a few sub-requests sequentially with start time,end time and capacity demands,and treats each sub-request as a regular VM request.In this way,it can proactively set a bound for each VM request on each physical machine and makes the scheduler get ready before VM migration to obtain the predefined load balancing goal,which supports the resource allocation in a fine-grained manner.Simulations with real-world trace and synthetic data show that our proposed approach with offline version(PrepartitionOff)scheduling has 10%–20%better performance than the existing load balancing baselines under several metrics,including average utilization,imbalance degree,makespan and Capacity_makespan.We also extend Prepartition to online load balancing.Evaluation results show that our proposed approach also outperforms state-of-the-art online algorithms.
文摘As the chairs of the 8th International Conference of Pioneering Computer Scientists,Engineers and Educators 2023(ICPCSEE 2023,originally ICYCSEE),it is our great pleasure to welcome you to the conference proceedings.ICPCSEE 2023 was held in Harbin,China,during September 22–24,2023,and hosted by the Harbin Engineering University,the Harbin Institute of Technology,the Northeast Forestry University,the Harbin University of Science and Technology,the Heilongjiang Computer Federation,and the National Academy of Guo Ding Institute of Data Sciences.The goal of this conference series is to provide a forum for computer scientists,engineers,and educators.
文摘As the chairs of the 8th International Conference of Pioneering Computer Scientists,Engineers and Educators 2023(ICPCSEE 2023,originally ICYCSEE),it is our great pleasure to welcome you to the conference proceedings.ICPCSEE 2023 was held in Harbin,China,during September 22–24,2023,and hosted by the Harbin Engineering University,the Harbin Institute of Technology,the Northeast Forestry University,the Harbin University of Science and Technology,the Heilongjiang Computer Federation,and the National Academy of Guo Ding Institute of Data Sciences.The goal of this conference series is to provide a forum for computer scientists,engineers,and educators.
