Load Balancing in Cloud Computing

Khare, Shivangi; Chourasia, Uday; Deen, Anjna Jayant

doi:10.1007/978-981-19-2350-0_58

Cited by 5 publications

(3 citation statements)

References 10 publications

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“…Sender, receiver, and symmetric initiation typically represent LB initiation started. The same algorithmic strategies used for static and dynamic LB are shown under system state-based LB [10]- [12]. Tables 2 and 3 shows LB algorithm comparison.…”

Section: Figure 3 Lb Policiesmentioning

confidence: 99%

A survey to build framework for optimize and secure migration and transmission of cloud data

Bathini,

Vurukonda

2024

Bulletin EEI

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In the recent era of computational technologies, the internet is needed daily. The data generated is enormous and primarily stored on dedicated servers or clouds. Data migration and transfer are significant tasks for maintaining consistency and updating data. The data is the most critical component in any cloud service. There are various methods to protect data, like secure transfer, encryption, and authentication. These techniques are used as per need and transmission of the data. As data grows on a server or cloud, it must be migrated securely. Here, the exhaustive survey is provided for building a framework for migrating and transmitting cloud data. The framework should be sustainable and adaptable for load-balancing recovery and secure transmission. Various security load balancing parameters must be considered to obtain these state-of-the-art functionalities in the framework. The existing similar frameworks are studied, and findings are proposed in the paper to develop the framework.

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Section: Figure 3 Lb Policiesmentioning

confidence: 99%

A survey to build framework for optimize and secure migration and transmission of cloud data

Bathini,

Vurukonda

2024

Bulletin EEI

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“…Talking specifically of MS, resulting RTs and m/z can be summed, plotted, and stored as a series of data acquired by modern digital instruments. Collections of data yielded from such material can be made available in a cloud computing model that enables storing data and files on the internet through a cloud computing provider [102,103]. With data obtained by MS-based quantitative strategies, it is feasible to identify those compounds.…”

Section: A Systematic Review Of Mass Spectrometry and Sustainability/...mentioning

confidence: 99%

Mass Spectrometry-Based Techniques Towards OMICS 2.0

Šoša¹

2023

Preprint

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The literature was scoped to help place mass spectrometric (MS) platforms in the spotlight of the life sciences, as a tool of OMICS and OMICS 2.0 technologies. Moreover, today’s appliances are so handy, that they literally place a whole lab on a single chip. Methods of OMICS (and the most recently developed term OMICS 2.0) are tackled, having in mind their aptness for educational purposes, as well as their feasibility. This same topic was highlighted in many reviews that have been periodically published. The author’s initial interest was the forensic application of MS, but since these interests changed, terms such as “biosensors” were also examined, so the review included means of discovery of efficient biomarkers and clinical therapeutic targets. Aside from simply reviewing the research status and the future perspectives, this article tackles terms such as Society 5.0 and OMICS 2.0. However, within the framework of this review, physical chemistry, bioinformatics, or specific software solutions were not specifically studied. Since the topic of generating permanent collections of digital content for retrospective analysis was also reviewed, the need for loads of data – cloud storage was discussed in the context of MS. These large quantities of data are easier to operate with if generated by MS, rather than by any other commercially available assay. In this manner, the review has strengthened an in-depth understanding of the applications of MS.

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“…This leap forward furthers the improvement of the quality of life of all people in a sustainability world [95] Talking specifically of MS, resulting RTs and mz can be summed, plotted and stored as a series of data acquired by modern digital instruments . Collections of data yielded from such a material can be made available in cloud computing model that enables storing data and files on the internet through a cloud computing provider [96,97]. With data obtained by MS-based quantitative strategies, it is feasible to identify those compounds.…”

Section: Without Actually Knowing What Sustainability Looks Like In P...mentioning

confidence: 99%

Mass Spectrometry-Based Techniques Towards OMICS 2.0

Šoša¹

2022

Preprint

View full text Add to dashboard Cite

The literature was scoped to help place mass spectrometric (MS) platforms in the spotlight of the life sciences, as a tool of OMICS and OMICS 2.0 technologies. These methods were discussed, and their feasibility was highlighted in many reviews that have been periodically published, in addition to the most recently developed term OMICS 2.0. This author’s primary interest was the forensic application of MS, but since these interests got broadened, terms such as “biosensors” were also included. So, means of discovery of efficient biomarkers and clinical therapeutic targets were also reviewed. However, within the framework of this review, physical chemistry, bioinformatics, or specific software solutions were not specifically scoped. Aside from simply reviewing the research status and the future perspectives, this article tackles terms such as Society 5.0 and OMICS 2.0. Since the topic of generating permanent collections of digital content for retrospective analysis was reviewed, what requires loads of data – cloud storage is discussed in the context of MS. In this manner, the review has strengthened an in-depth understanding of the applications of MS. These large quantities of data are easier to operate with if generated by MS, rather than by any other commercially available assay.

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Load Balancing in Cloud Computing

Cited by 5 publications

References 10 publications

A survey to build framework for optimize and secure migration and transmission of cloud data

A survey to build framework for optimize and secure migration and transmission of cloud data

Mass Spectrometry-Based Techniques Towards OMICS 2.0

Mass Spectrometry-Based Techniques Towards OMICS 2.0

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