Cloud Resource Optimization System Based on Time and Cost

Dewangan, Bhupesh Kumar; Agarwal, Amit; Tanupriya, Tanupriya; Pasricha, Ashutosh

doi:10.33889/ijmems.2020.5.4.060

Cited by 13 publications

(4 citation statements)

References 18 publications

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“…They also looked into cloud interoperability solutions, which were all explored and disputed in the cloud computing adoption research (Kim et al, 2009) success or failure of cloud computing adoption in general. The potential of cloud computing to dynamically extend resources in response to changes in the company's operations, in particular, is a big draw for business owners (Radu, 2017;Dewangan et al, 2020;Liu et al, 2021). One of the environmental benefits of cloud computing is the advancement of energy-saving techniques as well as a reduction in the amount of equipment required (Radu, 2017).…”

Section: Review Of the Literaturementioning

confidence: 99%

Risk Managed Cloud Adoption: An ANP Approach

Gupta

Pani

Muduli

et al. 2023

Int. j. math. eng. manag. sci.

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To meet the ever-increasing demand for offering a sustainable environment, organizations are beginning to aim for cloud adoption and the migration of their IT infrastructure and operations to the cloud, utilizing various cloud-based technologies. However, cloud adoption has been impeded by the risk of being exposed as a result of a variety of concerns, including performance, security, and privacy concerns, as well as vulnerabilities and data portability. As a result, this study was carried out to investigate and analyse a variety of risks that come with cloud computing adoption by estimating the impact and frequency of these hazards. In this study, the Analytical Network Process (ANP) is used to prioritise these hazards. Prioritization of these risks based on their influence on cloud adoption may be useful for organizations in building a corrective action plan. According to their negative influence on cloud adoption, "business continuity and recovery planning" and "poor availability of services" are shown to be the most prominent hazards. This research also found that the two most common dangers encountered by cloud adopters in India are "poor availability of services" and "slow response rate."

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Section: Review Of the Literaturementioning

confidence: 99%

Risk Managed Cloud Adoption: An ANP Approach

Gupta

Pani

Muduli

et al. 2023

Int. j. math. eng. manag. sci.

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“…The need for access to social services and public utility is one of the major concerns of the government (Choudhury, T., & Pasricha, A., 2020). What SOA or Service Oriented Architecture can provide is exactly what is needed by the government of any country.…”

Section: Background and Motivationmentioning

confidence: 99%

An Extensive Review of Web-Based Multi-Granularity Service Composition

Sah

Rawat

Choudhury

et al. 2021

International Journal of Web-Based Learning and Teaching Technologies

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The paper reviews the efforts to compose SOAP, non-SOAP and non-web services. Traditionally efforts were made for composite SOAP services, however, these efforts did not include the RESTful and non-web services. A SOAP service uses structured exchange methodology for dealing with web services while a non-SOAP follows different approach. The research paper reviews the invoking and composing a combination of SOAP, non-SOAP, and non-web services into a composite process to execute complex tasks on various devices. It also shows the systematic integration of the SOAP, non-SOAP and non-web services describing the composition of heterogeneous services than the ones conventionally used from the perspective of resource consumption. The paper further compares and reviews different layout model for the discovery of services, selection of services and composition of services in Cloud computing. Recent research trends in service composition are identified and then research about microservices are evaluated and shown in the form of table and graphs.

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“…This parameter has been considered to schedule the resources at a minimal cost. This results in a low operational cost for both service providers and cloud users [7].…”

Section: Task Scheduling In Cloudmentioning

confidence: 99%

AP: Hybrid Task Scheduling Algorithm for Cloud

Dewangan¹,

Jain²,

Choudhury³

2020

RIA

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Resource optimization is cost effective process in cloud. The efficiency of load balancing completely depends on how the infrastructure is utilizing. As per the current study, the resource optimization techniques are very costly and taking more convergence time to execute the task and load distribution among different virtual machines (VM). The objective of this paper is to develop a hybrid optimization algorithm to find the best virtual machine based on their fitness values and schedule different task to the fittest VM so that each task should get complete on time, and system can utilize the VM as well. The proposed algorithm is hybrid version of genetic (GA), ant-colony (Aco), and particle-swarm (Pso) algorithms, which is implemented and tested in amazon web service and compared with existing algorithms based on VM utilization, completion time, and cost. The proposed hybrid system genetic-aco-pso based algorithm (GAP) perform utmost while comparing with the existing systems.

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Cloud Resource Optimization System Based on Time and Cost

Cited by 13 publications

References 18 publications

Risk Managed Cloud Adoption: An ANP Approach

Risk Managed Cloud Adoption: An ANP Approach

An Extensive Review of Web-Based Multi-Granularity Service Composition

AP: Hybrid Task Scheduling Algorithm for Cloud

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