A novel admission control scheme for network slicing based on squatting and kicking strategies

New services and applications impose differentquality of service (QoS) requirements on network slicing. Tomeet differentiated service requirements, current Internet servicemodel has to support emerging real-time applications from 5Gnetworks. The admission control mechanisms are expected tobe one of the key components of the future integrated serviceInternet model, for providing multi-level service guarantees withthe different classes (slices) of services. Therefore, this paperintroduces a new flexible admission control mechanism, basedon squatting and kicking techniques (SKM), which can beemployed under network slicing scenario. From the results, SKMprovides 100% total resource utilization in bandwidth contextand 100% acceptance ratio for highest priority class underdifferent input traffic volumes, which cannot be achieved byother existing schemes such as AllocTC-Sharing model due topriority constraints.Peer ReviewedPostprint (published version

Squatting and kicking model evaluation for prioritized sliced resource management

© Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/Effective management and allocation of resources remains a challenging paradigm for future large-scale networks such as 5G, especially under a network slicing scenario where the different services will be characterized by differing Quality of Service (QoS) requirements. This makes the task of guaranteeing the QoS levels and maximizing the resource utilization across such networks a complicated task. Moreover, the existing allocation strategies with link sharing tend to suffer from inefficient network resource usage. Therefore, we focused on prioritized sliced resource management in this work and the contributions of this paper can be summarized as formally defining and evaluating a self-provisioned resource management scheme through a smart Squatting and Kicking model (SKM) for multi-class networks. SKM provides the ability to dynamically allocate network resources such as bandwidth, Label Switched Paths (LSP), fiber, slots among others to different user priority classes. Also, SKM can guarantee the correct level of QoS (especially for the higher priority classes) while optimizing the resource utilization across networks. Moreover, given the network slicing scenarios, the proposed scheme can be employed for admission control. Simulation results show that our model achieves 100% resource utilization in bandwidth-constrained environments while guaranteeing higher admission ratio for higher priority classes. From the results, SKM provided 100% acceptance ratio for highest priority class under different input traffic volumes, which, as we articulate, cannot be sufficiently achieved by other existing schemes such as AllocTC-Sharing model due to priority constraints.Peer ReviewedPostprint (author's final draft

Evaluating the impact of delay constraints in network services for intelligent network slicing based on SKM model

© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Solving the problem of network resource allocation with delay constraint is a significant challenge for realizing future Internet and 5G networks services such as advanced mobile broadband services and Internet of things (IoT), especially under the network slicing scenario. The impact of delay constraints may lead to rejection of demands, resulting in low resource utilization of network resources. This is especially severe when dynamic traffic is considered. Therefore, intelligent resource allocation algorithms are required to use the network resources in delay constrained scenario efficiently. Moreover, these algorithms should guarantee quality of service (QoS) between different priority slices during congestion case. Therefore, in this paper, we analyze the impact of delay constraint on the performance of an online resource allocation algorithm based on an intelligent efficient squatting and kicking model (SKM), proved in other works to be the most effective up to the present time yet. SKM incorporates kicking and squatting of resources as innovative techniques enabling it to achieve 100% resource utilization and acceptance ratio for higher priority slices in scenarios where the other state of art algorithms not able to reach by far in some scenarios. Simulation results showed that incorporating delay constraints has a significant impact on the performance, resulting in up to 10% and 4% reduction in terms of average resource utilization and acceptance ratios respectively.Peer ReviewedPostprint (published version

Resource allocation and management under priorities based on the squatting-kicking model for multi-slice 5G networks

The upcoming Beyond Fifth Generation networks aim to meet network services characterized by low latency and high reliability among others in different slices to provide a high-quality user experience. However, existing best-effort networking schemes that implement traditional methods of controlling and allocating network and computing resources do not meet such strict service requirements well. In International Telecommunication Union-Telecommunication sector, future services are defined as Network 2030 Services under a chartered Focus Group on Networks 2030 (FG-NET2030). The results from the FG-NET2030 analysis suggests that current networks cannot accommodate real-time applications with low latency and high bandwidth requirements. Moreover, current networks lack the capabilities to dynamically aggregate and share network resources through multiple flows, which is essential for future services. However, to satisfy the strict requirements of those services, intelligent algorithms and techniques that incorporate 5G enablers are needed to introduce novel network management systems. These intelligent algorithms shall not only result in efficient utilization of network resources but also guarantee the required quality of service for the priority slices. Moreover, cognizant of the strict latency requirements of the different services, such algorithms should include delay constraints of requests. Despite the advantages expected from future services are real-time applications, should benefit from reduced physical and logical paths between end-users and data or service hosts. However, all the above requirements are not intended for the network slicing paradigm alone. Therefore, in addition to network slicing, we want to leverage technologies and components that have features such as network programming, dynamic network reconfiguration and orchestration to enable improved performance and efficient resource management. Such technologies include NFV and SDN among others. Consequently, the main objective of this PhD thesis is to develop a service deployment algorithm that uses Squatting and Kicking techniques intelligence to effectively allocate, manage, and control slice resources under several constraints in a real-time multi-slice scenario, such as priority, bandwidth, and E2E delay with targeting to maximize the total resource usage in the substrate network. The proposed online algorithm allocates the available resource to different priority demands from source node to destination node along the routed path according to more realistic constraints, such as links' bandwidth and E2E delay. Moreover, the benefits of the new proposed algorithm will be reflected in creating real-time demands for 5G applications that are sensitive to delay, in addition to solving the resource allocation problem for large scale networks, using fewer resources and generating lower costs. Further, the proposed algorithm is adaptable to meet various QoS requirements of services, guaranteeing high QoS levels and providing high admission for higher priority classes under congested scenarios. In terms of managing bandwidth resources in a multi-slice scenario, Bandwidth Allocation Models offer improved metrics over best effort models. The proposed algorithm outperforms the others by far especially, during congested scenarios. To this end, this thesis proposes a resource allocation model called Squatting and Kicking model (SKM) to maximize the number of successfully embedded demands while maximizing the utilization in the multi-slice networks by choosing less congested paths through the efficient allocation of demands on the network. Moreover, this thesis analyzes the impact of delay constraint on the performance of an online resource allocation algorithm based on an intelligent efficient SKM, proved in this work to be the most effective up to the present time yet.Postprint (published version

A novel admission control scheme for network slicing based on squatting and kicking strategies

New services and applications impose differentquality of service (QoS) requirements on network slicing. Tomeet differentiated service requirements, current Internet servicemodel has to support emerging real-time applications from 5Gnetworks. The admission control mechanisms are expected tobe one of the key components of the future integrated serviceInternet model, for providing multi-level service guarantees withthe different classes (slices) of services. Therefore, this paperintroduces a new flexible admission control mechanism, basedon squatting and kicking techniques (SKM), which can beemployed under network slicing scenario. From the results, SKMprovides 100% total resource utilization in bandwidth contextand 100% acceptance ratio for highest priority class underdifferent input traffic volumes, which cannot be achieved byother existing schemes such as AllocTC-Sharing model due topriority constraints.Peer Reviewe

Squatting and kicking model evaluation for prioritized sliced resource management

© Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/Effective management and allocation of resources remains a challenging paradigm for future large-scale networks such as 5G, especially under a network slicing scenario where the different services will be characterized by differing Quality of Service (QoS) requirements. This makes the task of guaranteeing the QoS levels and maximizing the resource utilization across such networks a complicated task. Moreover, the existing allocation strategies with link sharing tend to suffer from inefficient network resource usage. Therefore, we focused on prioritized sliced resource management in this work and the contributions of this paper can be summarized as formally defining and evaluating a self-provisioned resource management scheme through a smart Squatting and Kicking model (SKM) for multi-class networks. SKM provides the ability to dynamically allocate network resources such as bandwidth, Label Switched Paths (LSP), fiber, slots among others to different user priority classes. Also, SKM can guarantee the correct level of QoS (especially for the higher priority classes) while optimizing the resource utilization across networks. Moreover, given the network slicing scenarios, the proposed scheme can be employed for admission control. Simulation results show that our model achieves 100% resource utilization in bandwidth-constrained environments while guaranteeing higher admission ratio for higher priority classes. From the results, SKM provided 100% acceptance ratio for highest priority class under different input traffic volumes, which, as we articulate, cannot be sufficiently achieved by other existing schemes such as AllocTC-Sharing model due to priority constraints.Peer Reviewe

Novel NFV aware network service for intelligent network slicing based on squatting-kicking model

© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Future networks starting from 5G will depend on network slicing to meet a wide range of network services (NSs) with various quality of service (QoS) requirements. With the powerful Network Function Virtualization (NFV) technology available, network slices can be rapidly deployed and centrally managed, giving rise to simplified management, high resource utilization, and cost-efficiency. This is achieved by realizing NSs on general-purpose hardware, hence, replacing traditional middleboxes. However, realizing fast deployment of end-to-end network slices still requires intelligent resource allocation algorithms to efficiently use the network resources and ensure QoS among different slice categories during congestion cases. This is especially important at the links of the network because of the scarcity of their resources. Consequently, this paper proposes a paradigm based on NFV architecture aimed at providing the massive computational capacity required in the NSs and supporting the resource allocation strategy proposed for multiple slice networks based on resources utilization optimization using a proposed and analyzed Squatting-Kicking model (SKM). SKM is a suitable algorithm for dynamically allocating network resources to different priority slices along paths and improving resource utilization under congested scenarios. Simulation results show that the proposed service deployment algorithm achieves 100% in terms of both overall resource utilization and admission for higher priority slices in some scenarios in bandwidth-constrained contexts, which cannot be achieved by other existing schemes due to priority constraints.Peer ReviewedPostprint (published version

Network function virtualization aware offline embedding problem using squatting-kicking strategy for elastic optical networks

Network Function Virtualization (NFV) has recently become one of the most attractive technologies in telecommunication industry due to its ability to realize Network Services (NSs) on general-purpose hardware hence replacing traditional middleboxes. Therefore, NSs can be put on the market, maintained and upgraded more easily and timely which creates a great potential for increasing the usage value of network resources. This paper exploits this paradigm addressing the NFV architecture provisioning the huge computational capacity required in the NS to support the resource allocation strategy proposed for elastic optical networks (EONs) based on resources utilization optimization using a proposed and analyzed squatting-Kicking model (SKM) strategy.Peer ReviewedPostprint (published version

Network function virtualization aware offline embedding problem using squatting-kicking strategy for elastic optical networks

Network Function Virtualization (NFV) has recently become one of the most attractive technologies in telecommunication industry due to its ability to realize Network Services (NSs) on general-purpose hardware hence replacing traditional middleboxes. Therefore, NSs can be put on the market, maintained and upgraded more easily and timely which creates a great potential for increasing the usage value of network resources. This paper exploits this paradigm addressing the NFV architecture provisioning the huge computational capacity required in the NS to support the resource allocation strategy proposed for elastic optical networks (EONs) based on resources utilization optimization using a proposed and analyzed squatting-Kicking model (SKM) strategy.Peer Reviewe

A novel admission control scheme for network slicing based on squatting and kicking strategies

New services and applications impose differentquality of service (QoS) requirements on network slicing. Tomeet differentiated service requirements, current Internet servicemodel has to support emerging real-time applications from 5Gnetworks. The admission control mechanisms are expected tobe one of the key components of the future integrated serviceInternet model, for providing multi-level service guarantees withthe different classes (slices) of services. Therefore, this paperintroduces a new flexible admission control mechanism, basedon squatting and kicking techniques (SKM), which can beemployed under network slicing scenario. From the results, SKMprovides 100% total resource utilization in bandwidth contextand 100% acceptance ratio for highest priority class underdifferent input traffic volumes, which cannot be achieved byother existing schemes such as AllocTC-Sharing model due topriority constraints.Peer Reviewe