Aloe: Fault-Tolerant Network Management and Orchestration Framework for IoT Applications

Chattopadhyay, Subhrendu; Chatterjee, Soumyajit; Nandi, Sukumar; Chakraborty, Sandip

doi:10.1109/tnsm.2020.3008426

Cited by 12 publications

(6 citation statements)

References 29 publications

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“…The controller layer is generally linear. A lightweight software-defined network (SDN) can be constructed using several microcontrollers that replace heavyweight controllers, as proposed by Chattopadhyay et al [18]. The controller layer can then be converted into a cluster and a linear model.…”

Section: Proposed Methodsmentioning

confidence: 99%

Hybrid models for computing fault tolerance of IoT networks

Chokara

Jammalamadaka

2023

TELKOMNIKA

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Many Internet of Things (IoT) -based networks are being built to develop applications spanning multiple domains. Many small to large devices connected in various ways increases the risk of IoT networks failing. Small devices in the devices layer frequently fail due to their small size and high usage. Intermittent failures of the IoT networks lead to catastrophes at times. The IoT systems must be designed to be fault-tolerant. Fault tolerance of IoT networks must be computable so that the same can be considered while designing IoT networks. However, the computation of fault tolerance of IoT networks is complex, especially when heterogeneous structures are used for building a specific IoT network. Fault tree-based models are not suitable for computing fault-tolerance of complex models, which requires probability assessment. Hybrid fault tolerance computing models have been presented in this paper that consider both linear and probabilistic methods of computing the fault tolerance considering many complex networking topologies used in each layer of IoT networks. The fault-tolerance computing models are formal methods that can be used to compute the fault tolerance of any IoT network built with any internal processing. The accuracy of fault tolerance computing is 12.9% higher than other methods.

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Section: Proposed Methodsmentioning

confidence: 99%

Hybrid models for computing fault tolerance of IoT networks

Chokara

Jammalamadaka

2023

TELKOMNIKA

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“…Although some proposals have successfully proposed failure recovery or fault tolerant mechanism for SDN setup, but most of them are focused on a single controller scenarios. For a multi-controller or distributed scenario, the authors in [28] designed a self-stabilizing placement mechanism for the migration capable controller instances in IoT network. In [29], the authors proposed a heuristic algorithm to address the controller placement problem with respect to single-link or multi-link failures.…”

Section: B Motivation and Research Challengesmentioning

confidence: 99%

Adaptive Recovery Mechanism for SDN Controllers in Edge-Cloud Supported FinTech Applications

Ren

Aujla

Jindal

et al. 2023

IEEE Internet Things J.

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“…Various articles have discussed fault-tolerance in distributed systems. [15][16][17][18] Very limited research has been done to maintain consistency while tolerating faults in tuple space-based systems. Considering the existing work, 19 the tuple space model has been replicated among participant hosts to perform faster coordination in a smart-home system.…”

Section: Motivation and Contributionsmentioning

confidence: 99%

“…Along with proper coordination among components, the system must be tolerant against failure and consistent. Various articles have discussed fault‐tolerance in distributed systems 15‐18 . Very limited research has been done to maintain consistency while tolerating faults in tuple space‐based systems.…”

Section: Introductionmentioning

confidence: 99%

A Fault‐tolerant model for tuple space coordination in distributed environments

Kirti,

Maurya,

Yadav

2023

Concurrency and Computation

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SummaryIn distributed systems, tuple space is one of the coordination models that significantly maximizes system performance against failure due to its space and time decoupling features. With the growing popularity of distributed computing and increasing complexity in the network, host and link failure occurs frequently, resulting in poor system performance. This article proposes a fault‐tolerant model named Tuple Space Replication (TSR) for tuple space coordination in distributed environments. The model introduces a multi‐agent system that consists of multiple hosts. Each host in a multi‐agent system comprises an agent space with a tuple space for coordination. In this model, we introduce three novel fault‐tolerant algorithms for tuple space primitives to provide coordination among hosts with tolerance to multiple links and hosts failure. The first algorithm is given for out() operation to insert tuples in the tuple space. The second algorithm is presented for rdp() operation to read any tuple from the tuple space. The third algorithm is given for inp() operation to delete or withdraw tuples from the tuple space. These algorithms use less number of messages to ensure consistency in the system. The message complexity of the proposed algorithms is analyzed and found O(n) for out(), O(1) for rdp(), and O(n) for inp() operations which is comparable and better than existing works, where n is the number of hosts. The testbed experiment reveals that the proposed TSR model gives performance improvement up to 88%, 70.94%, and 63.80% for out(), rdp(), and inp() operations compared to existing models such as FT‐SHE, LBTS, DEPSPACE, and E‐DEPSPACE.

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Aloe: Fault-Tolerant Network Management and Orchestration Framework for IoT Applications

Cited by 12 publications

References 29 publications

Hybrid models for computing fault tolerance of IoT networks

Hybrid models for computing fault tolerance of IoT networks

Adaptive Recovery Mechanism for SDN Controllers in Edge-Cloud Supported FinTech Applications

A Fault‐tolerant model for tuple space coordination in distributed environments

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