Load Balancing in Cloud Computing: Survey

Pradhan, Arabinda; Bisoy, Sukant Kishoro; Mallick, Pradeep Kumar

doi:10.1007/978-981-15-2305-2_8

Cited by 14 publications

(3 citation statements)

References 5 publications

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“…Lastly, extensive implementation of deep learning in microfluidics can require increased technical expertise for adopters. While tools with sophisticated GUIs are available, limitations in academic software maintenance can quickly render such tools obsolete before users are able to update the software for their own purposes (Pradhan et al, 2020).…”

Section: Droplet Analysismentioning

confidence: 99%

Deep learning with microfluidics for on-chip droplet generation, control, and analysis

Sun

Xie

et al. 2023

Front. Bioeng. Biotechnol.

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Droplet microfluidics has gained widespread attention in recent years due to its advantages of high throughput, high integration, high sensitivity and low power consumption in droplet-based micro-reaction. Meanwhile, with the rapid development of computer technology over the past decade, deep learning architectures have been able to process vast amounts of data from various research fields. Nowadays, interdisciplinarity plays an increasingly important role in modern research, and deep learning has contributed greatly to the advancement of many professions. Consequently, intelligent microfluidics has emerged as the times require, and possesses broad prospects in the development of automated and intelligent devices for integrating the merits of microfluidic technology and artificial intelligence. In this article, we provide a general review of the evolution of intelligent microfluidics and some applications related to deep learning, mainly in droplet generation, control, and analysis. We also present the challenges and emerging opportunities in this field.

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Section: Droplet Analysismentioning

confidence: 99%

Deep learning with microfluidics for on-chip droplet generation, control, and analysis

Sun

Xie

et al. 2023

Front. Bioeng. Biotechnol.

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“…al. [16] proposed a hybrid meta-heuristic algorithm with nature inspired Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) approaches. Advanced outcomes achieved in terms of execution when proposed approach assessed on Cloud Analyst Simulation tool.…”

Section: Gs Singh and Tmentioning

confidence: 99%

A New Load Balancing Algorithm for Better Resource Utilization in Cloud Computing Environment

Grewal¹

2020

IJATCSE

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Cloud computing is a developing concept that has been used in every sector either government or private sector. Powerful data centres are used on clouds to handles the large number of requests. Dynamic pool of requests and virtualization has been provided by the cloud. To handle large number of requests, a proper load balancing technique is required that can equally share the loads among data centres. In this paper, a novel load balancing algorithm is proposed that will help in efficient utilization of resources. Set the priority of each request and Virtual Machines (VM) based on some predefined parameters. Experimental result shows that proposed technique is more efficient and less time consuming.

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“…Therefore, this paper reports a BLE 5.0-based ultra-compact wireless sensor-based edge that can detect off-gas early, as well as measure the temperature, humidity, vibration, and smoke in the golden time of approximately 10 minutes from the occurrence of thermal runaway inside the ESS to a fire. This paper proposes a safety system and an ESS-integrated safety management solution [11,12].…”

Section: Introductionmentioning

confidence: 99%

A Study on Cloud-based Safety ESS Watchdog System Using Ultra-Compact Wireless Sensor

et.al¹

2021

TURCOMAT

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Background/Objectives: Safety matters are being discussed and countermeasures to prevent various breakdowns/accidents are urgently required. Therefore, we propose a safety management solution for ESS fire monitoring. Methods/Statistical analysis: BLE 5.0-based ultra-compact wireless sensor-based edge that can detect off-gas early, as well as measure the temperature, humidity, vibration, and smoke in the golden time of approximately 10 minutes from the occurrence of thermal runaway inside the ESS to a fire. This paper proposes a safety system and an ESS-integrated safety management solution. Findings: It is known that the ESS currently in operation is installed without an integrated control method and a systematic protection system between facilities in order to connect new and renewable energy and to quickly supply the site, so there are many problems. For this reason, various accidents such as reactor failure and fire are occurring in the ESS installed at the actual site. Recently, 22 fires occurred in ESS facilities installed nationwide in 2019, and the government has urgently stopped ESS operation and formed a joint public-private investigation committee to clarify the cause. Among the various causes of ESS fires that have been raised, the ESS design should be considered. This paper reported an edge safety-based on BLE 5.0 that is capable of detecting off-gas and detecting temperature, humidity, vibration, and smoke early in the golden time of approximately 10 minutes from the occurrence of thermal runaway inside the ESS to a fire. A system and ESS integrated safety management solution were proposed. In this study, internal monitoring of an ESS was possible by integrating directly with existing and new ESS. The administrator can observe all conditions on the web through the cloud-based ESS integrated safety management system. Improvements/Applications: This paper analyzed and developed a cloud-based ESS integrated safety management system. It will be helpful in ESS fire management in the future and will be useful in designing artificial intelligence-based safety management solutions.

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Load Balancing in Cloud Computing: Survey

Cited by 14 publications

References 5 publications

Deep learning with microfluidics for on-chip droplet generation, control, and analysis

Deep learning with microfluidics for on-chip droplet generation, control, and analysis

A New Load Balancing Algorithm for Better Resource Utilization in Cloud Computing Environment

A Study on Cloud-based Safety ESS Watchdog System Using Ultra-Compact Wireless Sensor

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