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Analysis of Effective Load Balancing Techniques in Distributed Environment [chapter]

Anju Shukla, Shishir Kumar, Harikesh Singh
2020 Linked Open Data - Applications, Trends and Future Developments [Working Title]  
Due to openness and heterogeneous nature of distributed computing, the developer must deal with several issues like load balancing, interoperability, fault occurrence, resource selection, and task scheduling  ...  Various load balancing algorithms and scheduling methods are analyzed that are used for performance optimization of web resources.  ...  Garg and Singh [55] observed various fault conditions and suggested a fault tolerance-based task scheduling algorithm in grid environment.  ... 
doi:10.5772/intechopen.91460 fatcat:r5kaw5nbnjd7npnjuycijnstta

Dynamic Fault Tolerance Aware Scheduling for Healthcare System on Fog Computing

Hadeel T. Rajab, Manal F. Younis
2021 Iraqi Journal of Science  
Due to the massive data generated by IoT devices on FC, Dynamic Weighted Round Robin (DWRR) algorithm was used, which represents a load balancing (LB) algorithm that is applied to schedule and distributes  ...  A lot of research is concerned with distribution of workload by using LB techniques without paying much attention to Fault Tolerance (FT), which implies that the system continues to operate even when fault  ...  Dynamic load balancing Fault Tolerance FT is the ability of the system to remain operating even when the fault occurs.  ... 
doi:10.24996/ijs.2021.62.1.29 fatcat:3fe5lcty5bakbddijp2wuu5y7u

A Fault Tolerant Data Management Scheme for Healthcare Internet of Things in Fog Computing

2021 KSII Transactions on Internet and Information Systems  
A two way fault-tolerant mechanism i.e., task-based faulttolerance and node-based fault-tolerance, is provided in FTDM through which failure of tasks and nodes are managed.  ...  Therefore, to address all such challenges with regard to data management and fault tolerance, we have presented a Fault Tolerant Data management (FTDM) scheme for healthcare IoT in fog computing.  ...  As such we provided a two level fault tolerant mechanism i.e., "Task-based fault tolerance" and "IoT devices/nodes based fault tolerance".  ... 
doi:10.3837/tiis.2021.01.003 fatcat:r4ixzxje4bgrdorfjzcy4c7coa

QoS-aware CR-BM-based hybrid framework to improve the fault tolerance of fog devices

P. Sharma, P. K. Gupta
2021 Journal of Applied Research and Technology  
In this paper, a hybrid framework is proposed, which incorporates the various IoT devices in fog environments to enhance fault tolerance.  ...  A fog service monitor is established to observe the performance of fog nodes.  ...  Proposed policy locates the multicomponent of IoT applications in a hierarchical fog environment.  ... 
doi:10.22201/icat.24486736e.2021.19.1.1493 fatcat:svn7es574vfhxjifrv7hfn6opi

Load Balancing at Fog Nodes using Scheduling Algorithms

2020 International journal of recent technology and engineering  
During allocation of IoT devices to various fog nodes we will come across a serious issues i.e load balancing on fog nodes.  ...  In this paper we present a brief note on how cloud issues can overcome using fog nodes benefits along with elaboration of load balancing factor.  ...  IoT devices  Monitoring IoT's & proximity to end users  Effortlessness  Abstraction  Network elasticity  Supporting virtual networks  Tough security  Fault tolerance  Limitations  ... 
doi:10.35940/ijrte.f9238.038620 fatcat:5ij7l2kga5bopocti25oqip3da

Energy-efficient fault-tolerant scheduling in a fog-based smart monitoring application

Ali Shahidinejad, Mohsen Nickray, Ahmad Sharif
2021 International Journal of Ad Hoc and Ubiquitous Computing  
To counter this issue, we propose a novel fault-tolerant scheduling algorithm for hybrid modules in fog.  ...  Fault tolerance becomes a necessary matter to enhance the reliability of the fog. Notably, fault tolerance studies have been performed only on the cloud system.  ...  As future work, we will point to load balancing, metaheuristic and statistic methods for fault-tolerant scheduling in fog computing.  ... 
doi:10.1504/ijahuc.2021.10035244 fatcat:vxxq6fbqy5ezro7kauuz44znji

Leveraging Fog Computing for Scalable IoT Datacenter Using Spine-Leaf Network Topology

K. C. Okafor, Ifeyinwa E. Achumba, Gloria A. Chukwudebe, Gordon C. Ononiwu
2017 Journal of Electrical and Computer Engineering  
Consequently, a spine-leaf Fog computing network (SL-FCN) is presented for reducing latency and network congestion issues in a highly distributed and multilayer virtualized IoT datacenter environment.  ...  With the Internet of Everything (IoE) paradigm that gathers almost every object online, huge traffic workload, bandwidth, security, and latency issues remain a concern for IoT users in today's world.  ...  To achieve a scalable IoT network with low-latency (response time) performance and fault recovery under variable data streams, there is a need to support adaptive, scalable load balancing and elastic runtime  ... 
doi:10.1155/2017/2363240 fatcat:7x7xvrmuf5dm7ixlu4m33ryxta

Dependability in fog computing: Challenges and solutions

Alraddady et al., La Trobe University, Melbourne, Australia
2021 International Journal of Advanced and Applied Sciences  
In the paper, we explore several solutions to increase dependability in fog computing such as fault tolerance techniques, placement policies, middleware, and data management mechanisms aiming to help system  ...  Therefore, fog computing was introduced in 2012 by Cisco as a decentralized computing environment that is considered to be more efficient in handling such a plethora in the number of requests.  ...  above layers and assign requesting to physical nodes based on fault tolerance requirement and load balancing.  ... 
doi:10.21833/ijaas.2021.04.010 fatcat:d7uh4qxp5jeyndsulvkk7sttgy

Resource Management Techniques for Cloud/Fog and Edge Computing: An Evaluation Framework and Classification

Adriana Mijuskovic, Alessandro Chiumento, Rob Bemthuis, Adina Aldea, Paul Havinga
2021 Sensors  
One of the considerations of cloud-based IoT environments is resource management, which typically revolves around resource allocation, workload balance, resource provisioning, task scheduling, and QoS  ...  Processing IoT applications directly in the cloud may not be the most efficient solution for each IoT scenario, especially for time-sensitive applications.  ...  Therefore, it is a distinguishing challenge to obtain load balance for the processing nodes in a fog environment all along with an IoT application execution.  ... 
doi:10.3390/s21051832 pmid:33808037 fatcat:sh4dwl2wmba2jhcmcuss5nahsq

Dynamic Energy Efficient Resource Allocation Strategy for Load Balancing in Fog Environment

Anees ur Rehman, Zulfiqar Ahmad, Ali Imran Jehangiri, Mohammed Alaa Ala'anzy, Mohamed Othman, Arif Iqbal Umar, Jamil Ahmad
2020 IEEE Access  
In [15] , a method of dynamic load balancing using a fog computer distributed system was proposed in which fog nodes can transfer computing tasks to neighboring nodes with available queue space based  ...  In future work, we intend to propose fault-tolerant based dynamic energy-efficient resource allocation strategy in fog environments. successful execution of tasks, the Resource Engine will compile the  ... 
doi:10.1109/access.2020.3035181 fatcat:wvxp67svlvaudcwncdok74urta

MLITS:Multi-Level tasks scheduling model for IoT Service Provisioning

Hosam Eldin Refaat
2020 النشرة المعلوماتیة فی الحاسبات والمعلومات  
Also, the proposed scheduling model is compared with three scheduling model, namely; Min-Min, Credit-Based-Scheduling (CBS) and Earliest-Feasible-Deadline-First (EFDF).  ...  In order to address this shortage, Multi-Level IoT Tasks Scheduling (MLITS) model is introduced in this paper.  ...  In [23] a new fog computing framework to resource allocation for IoT is proposed. In this framework the latency is reduced, and the fault tolerance and privacy are considered.  ... 
doi:10.21608/fcihib.2020.107525 fatcat:jzozp76r4ndfrhcdnepv2lqdwe

DLBS: Decentralize Load-Balance Scheduling Algorithm for Real-Time IoT Services in Mist Computing

Hosam E Refaat, Mohamed A.Mead
2019 International Journal of Advanced Computer Science and Applications  
In this paper, we propose a new scheduling model for manage real time and soft service requests in Fog systems, which is called Decentralize Load-Balance Scheduling (DLBS).  ...  It is worth mentioning that the scheduling mechanisms of IoT services work as a pivotal function in resource allocation for the cloud, or fog computing.  ...  Mondala et at. use an optimized approach algorithm to have load balancing scheduling system [20] . This model is based on a centralized load balancing algorithm.  ... 
doi:10.14569/ijacsa.2019.0100913 fatcat:bimldrlvxjfd7ilf44pxqbfg3i

Study QoS Optimization and Energy Saving Techniques in Cloud, Fog, Edge, and IoT

Zhiguo Qu, Yilin Wang, Le Sun, Dandan Peng, Zheng Li
2020 Complexity  
We do a comprehensive survey on QoS optimization and energy saving in cloud computing, fog computing, edge computing, and IoT environments.  ...  The development of cloud computing, fog computing, and edge computing brings a number of challenges, e.g., QoS optimization and energy saving.  ...  the optimal fault-tolerant policy. erefore, the quality of the multitenant based service system can be guaranteed.  ... 
doi:10.1155/2020/8964165 fatcat:zch5fslf3jfe7o4ydck6zsycie

Fog Computing Algorithms: A Survey and Research Opportunities

Shaifali P. Malukani, C. K. Bhensdadia
2021 Applied Computer Systems  
In the existing literature, a systematic study of architectural designs is widely conducted for various applications. Algorithms are seldom examined. Algorithms play a crucial role in fog computing.  ...  The study also presents a systematic classification of the current fog computing algorithms and highlights the key challenges and research issues associated with them.  ...  Fault tolerance and secure routing in the highly dynamic topology of the fog environment are considerable issues in fog architecture. Fog for more applications.  ... 
doi:10.2478/acss-2021-0017 fatcat:wf3pedj7fbddbdfjabz2nugwli

An IoT-Based Fog Computing Model

Kun Ma, Antoine Bagula, Clement Nyirenda, Olasupo Ajayi
2019 Sensors  
This paper proposes a multi-layer IoT-based fog computing model called IoT-FCM, which uses a genetic algorithm for resource allocation between the terminal layer and fog layer and a multi-sink version  ...  of the least interference beaconing protocol (LIBP) called least interference multi-sink protocol (LIMP) to enhance the fault-tolerance/robustness and reduce energy consumption of a terminal layer.  ...  With the above description, this paper proposes an IoT-based fog computing model that effectively allocates tasks to fog nodes (FN) in a manner that conserves the total energy consumed.  ... 
doi:10.3390/s19122783 fatcat:wtikoxc4mjgw3brl5mcvt5y354
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