MINA: A reflective middleware for managing dynamic multinetwork environments

Qin, Zhijing; Iannario, Luca; Giannelli, Carlo; Bellavista, Paolo; Denker, Grit; Venkatasubramanian, Nalini

doi:10.1109/noms.2014.6838332

Cited by 23 publications

(8 citation statements)

References 11 publications

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“…Multinetwork INformation Architecture (MINA) selfobserving and adaptive middleware [42] has been extended with a layered SDN controller to implement a controller architecture for IoT [43]. Various research and enterprise use cases are proposed and implemented, including SDIoT for smart urban sensing [44], and end-to-end service network orchestration [45].…”

Section: Related Workmentioning

confidence: 99%

SD-CPS: Taming the challenges of Cyber-Physical Systems with a Software-Defined approach

Kathiravelu

Veiga

2017

2017 Fourth International Conference on Software Defined Systems (SDS)

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Cyber-Physical Systems (CPS) revolutionize various application domains with integration and interoperability of networking, computing systems, and mechanical devices. Due to its scale and variety, CPS faces a number of challenges and opens up a few research questions in terms of management, fault-tolerance, and scalability. We propose a software-defined approach inspired by Software-Defined Networking (SDN), to address the challenges for a wider CPS adoption. We thus design a middleware architecture for the correct and resilient operation of CPS, to manage and coordinate the interacting devices centrally in the cyberspace whilst not sacrificing the functionality and performance benefits inherent to a distributed execution.

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Section: Related Workmentioning

confidence: 99%

SD-CPS: Taming the challenges of Cyber-Physical Systems with a Software-Defined approach

Kathiravelu

Veiga

2017

2017 Fourth International Conference on Software Defined Systems (SDS)

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“…Bhaduria and Sharma [16] has presented a framework that can control congestion in a mobile ad-hoc network with the aid of agent-based services. The technique allows selection of less-congested route Qin et al [17] has developed a middleware approach for catering up the need of the heterogeneous networking environment, which is based on the self-intelligence building process to accomplish better communication performance. The system uses observe-analyze-adapt methodology for developing the formal node model.…”

Section: Related Workmentioning

confidence: 99%

MIMC: Middleware for Identifying & Mitigating Congestion Level in Hybrid Mobile Adhoc Network

Hiremath¹,

Rao²

2016

ijacsa

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Abstract-Adoption of middleware system to solve the congestion problem in mobile ad-hoc network is few to find in the existing system. Research gap is found as existing congestion control mechanism in MANET doesn't use middleware design and existing middleware system were never investigated for its applicability in congestion control over the mobile ad-hoc network. Therefore, we introduce a novel middleware system called as MIMC or Middleware for Identifying and Mitigating Congestion in Hybrid Mobile Adhoc Network. MIMC is also equipped with novel traffic modeling using rule-based control matrix that not only provides a better scenario of congestion but also assists in decision making for routing, which the existing techniques fails. This paper discusses the algorithms, result discussion on multiple scenarios to show MIMC perform better congestion control as compared to existing techniques.

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“…R ECENT developments in wireless communications and embedded systems have resulted in consumer devices becoming highly ubiquitous creating a strong interest in the Internet of Things (IoT) [1], [2] as part of smart city solutions. Real world urban IoT applications are expected to be heterogeneous, due to various access networks and connectivity capabilities [3], [4], resulting in geographically wide-scale multinetworks [5] where there is a coexistence of multiple wireless communication solutions (e.g. WiFi, Bluetooth, Cellular).…”

Section: Introductionmentioning

confidence: 99%

Towards Distributed SDN: Mobility Management and Flow Scheduling in Software Defined Urban IoT

Nie

Asmare

et al. 2020

IEEE Trans. Parallel Distrib. Syst.

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The growth of Internet of Things (IoT) devices with multiple radio interfaces has resulted in a number of urban-scale deployments of IoT multinetworks, where heterogeneous wireless communication solutions coexist (e.g. WiFi, Bluetooth, Cellular). Managing the multinetworks for seamless IoT access and handover, especially in mobile environments, is a key challenge. Software-defined networking (SDN) is emerging as a promising paradigm for quick and easy configuration of network devices, but its application in urban-scale multinetworks requiring heterogeneous and frequent IoT access is not well studied. In this paper we present UbiFlow, the first software-defined IoT system for combined ubiquitous flow control and mobility management in urban heterogeneous networks. UbiFlow adopts multiple controllers to divide urban-scale SDN into different geographic partitions (assigning one controller per partition) and achieve distributed control of IoT flows. A distributed hashing based overlay structure is proposed to maintain network scalability and consistency. Based on this UbiFlow overlay structure, the relevant issues pertaining to mobility management such as scalable control, fault tolerance, and load balancing have been carefully examined and studied. The UbiFlow controller differentiates flow scheduling based on per-device requirements and whole-partition capabilities. Therefore, it can present a network status view and optimized selection of access points in multinetworks to satisfy IoT flow requests, while guaranteeing network performance for each partition. Simulation and realistic testbed experiments confirm that UbiFlow can successfully achieve scalable mobility management and robust flow scheduling in IoT multinetworks; e.g. 67.21% throughput improvement, 72.99% reduced delay, and 69.59% jitter improvements, compared with alternative SDN systems.

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MINA: A reflective middleware for managing dynamic multinetwork environments

Cited by 23 publications

References 11 publications

SD-CPS: Taming the challenges of Cyber-Physical Systems with a Software-Defined approach

SD-CPS: Taming the challenges of Cyber-Physical Systems with a Software-Defined approach

MIMC: Middleware for Identifying & Mitigating Congestion Level in Hybrid Mobile Adhoc Network

Towards Distributed SDN: Mobility Management and Flow Scheduling in Software Defined Urban IoT

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