Resource Allocation in the Cloud: From Simulation to Experimental Validation

Maenhaut, Pieter‐Jan; Moens, Hendrik; Volckaert, Bruno; Ongenae, Veerle; Turck, Filip De

doi:10.1109/cloud.2017.96

Cited by 15 publications

(5 citation statements)

References 10 publications

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“…As corporate and private users are increasing the use of cloud storages, breaching of data is also increasing specially for sensitive and popular data therefore, data is needed to be secure and hence encrypted. [6] Pieter-Jan Maenhaut et al has described about the importance of resource management in cloud computing. Cloud computing provides on demand service to the end user and end users save the cost as they do not have to own and pay for the infrastructure but only for what they are using.…”

Section: Literature Surveymentioning

confidence: 99%

Automated Notification for Improper Use of AWS Resources

Nayak¹,

L.M.²

2019

IJRTE

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A proper management of resources is very important when they are on public cloud to ensure security, cost optimization etc. Monitoring resources and sending notification to admin or authorized person for all monitored activities helps the corporate institute/organization who is using public cloud like AWS to manage the resources properly, as AWS in an organization is used by different users though they have roles associated with them but they can do any mistake which costs for an organization. Automated notifications can help on this issue when resources are monitored and notified to admin/authenticated person and they can take appropriate actions. This paper focuses on how to make an environment and hardware setup of instance in AWS using AMIs, user data and Terraform, securing and managing S3 from unwanted objects and automated deletion of unwanted resources. It is also important for an organization to verify that developers, tester etc. are working according to their provided environment standard so that they can guarantee that there is not be any problem after or during project development or delivery so, in context of that AMIs can be created and EC2 monitored for AMI.

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Section: Literature Surveymentioning

confidence: 99%

Automated Notification for Improper Use of AWS Resources

Nayak¹,

L.M.²

2019

IJRTE

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“…The usage of network resources by end users is rising through the popularization of social networks, web banking applications, and e-commerce, for instance. Thus, new cloud-based services are becoming essential to the operation of this new network environment, which brings specific requirements, such as dynamic traffic allocation (Maenhaut et al, 2017). Furthermore, the increasing popularity of Internet of Things (IoT) devices is gradually changing the Internet scenario by increasing the heterogeneously of communication, since each device (thing) has specific network requirements and processing capability (Yoon and Kim, 2017;Bera et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

A GRU deep learning system against attacks in software defined networks

Assis

Carvalho

Lloret

et al. 2021

Journal of Network and Computer Applications

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“…With the enhancement in computing era, the cloud computing is rapidly enriching and able to offer (EaaS) Everything as a Service. Besides, day to day the amount of data evolving with it is also gaining an attention to be managed efficiently for the effective and sustainable working over distributed cloud scenario [3]. It is one of the major responsibilities of data handler to ensure the reliable and secure data handling in cloud.…”

Section: Introductionmentioning

confidence: 99%

Cloud Load Balancing Using Optimization Techniques

Jangra

Mangla

2020

Mobile Radio Communications and 5G Networks

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Cloud computing is an integrated phenomenon that incorporates data, applications and services in a dynamic environment and enables worldwide optimization of resources. This computing technology is scalable and elastic in nature that opens door for large amount of incoming data from different venues with high velocity. Managing such data in distributive and heterogeneous environment imposes a challenge of load balancing on the service providers. They need to allocate the incoming tasks efficiently to the computing nodes to avoid imbalanced mapping and execution of the tasks. To achieve efficient load balancing, various load balancing algorithms have been proposed, and they all focus on achieving the effective distribution of data and improve the associated measurement factors. In this paper, different load balancing algorithms have been studied and analyzed with description of their techniques and focused parameters. Then, there is a brief discussion on the existing load balancing algorithms and further compares them based on parameters like throughput, scalability, resource utilization, etc., followed by the important findings thus made.

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Resource Allocation in the Cloud: From Simulation to Experimental Validation

Cited by 15 publications

References 10 publications

Automated Notification for Improper Use of AWS Resources

Automated Notification for Improper Use of AWS Resources

A GRU deep learning system against attacks in software defined networks

Cloud Load Balancing Using Optimization Techniques

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