A Fair Resource Allocation Approach in Cloud Computing Environments

Jebalia, Maha; Letaïfa, Asma Ben; Hamdi, Mohamed; Tabbane, Sami

doi:10.1109/wetice.2018.00017

Cited by 5 publications

(4 citation statements)

References 2 publications

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“…Cloud storage is a place where we can store data and this data is accessible wherever it is called by the cloud-networked application [16]. Some cloud providers are not demanding as to the amount of data you want to store [17]. These providers give users the choice to increase their memory capacity at their convenience, at any time, and with some patience, it is possible to build your own super cloud with more than 100 GB of free storage.…”

Section: Cloud Storagementioning

confidence: 99%

Secure Cloud Storage Solution with “Seafile” & “NextCloud”: A Resilient Efficiency Assessment

Gavin Dutcher,

Koku Azianyo,

Thivanka P.B. M. Dissanayake

et al. 2024

Adv. Technol.

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Storage and file synchronization have become increasingly important services in our everyday lives. With cloud storage providers giving users access to file space in the cloud, one might wonder how efficient these cloud storage providers are with their encryption methods. There are many different cloud storage providers and programs to set up a cloud storage solution. This paper focuses on two secure cloud storage solutions, Seafile, and NextCloud, and determines the efficiency of these cloud storage solutions’ encryption methods. By determining the efficiency of these secure cloud storage providers’ encryption methods, it can help others determine which of these providers will fit their needs. To determine efficiency, the CPU, memory, and network usage of these cloud storage solutions will be measured at idle and when files are being uploaded to them. To measure the CPU, memory, and network usage, ‘dstat’ will be used to capture their usages and record them to a CSV file. It is expected that both cloud solutions will have better performance when they have files being uploaded to them with no encryption. However, with the encryption methods of both cloud solutions being lightweight, that was not the case.

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Section: Cloud Storagementioning

confidence: 99%

Secure Cloud Storage Solution with “Seafile” & “NextCloud”: A Resilient Efficiency Assessment

Gavin Dutcher,

Koku Azianyo,

Thivanka P.B. M. Dissanayake

et al. 2024

Adv. Technol.

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“…However, in an earlier study, 31 a brand new heuristic for RA in the cloud is proposed. The heuristic is primarily based on Nash bargaining solution (NBS) and dominant resource fairness (DRF) mechanisms to acquire secured and realistic allocation of cloud resources.…”

Section: Review Of Literaturementioning

confidence: 99%

Analysis of QoS aware energy‐efficient resource provisioning techniques in cloud computing

Malla

Sheikh

2022

Int J Communication

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Summary By incorporating on‐demand resources, software and data for collaborative services through the Internet, the conventional Information Technology enterprise has been transformed by cloud computing. Based on the pay‐per‐use approach, Infrastructure, platform or Software resources and servers located across data centres are among the several types of resources offered to consumers in cloud computing. Data centres handle these resources. These resources are constantly provisioned to users based on their availability, demand, and quality requirements. Cloud computing systems are known as one of the largest utilisers of energy resources all over the world. Also, power consumption has become a crucial aspect as most cloud computing systems work on traditional nonrenewable resources of energy. In order to make data centres environment‐friendly, there is a need for optimal approaches to reduce energy consumption and their hazardous effects on the environment. To analyse different available strategies for building and maintaining an energy‐efficient cloud is the main objective of this paper. The paper will comprehensively review several energy‐efficient resource provisioning methods and provide a graphical comparative study of Quality of Service (QoS) Metrics in cloud computing. Moreover, the present study identifies the areas of study that need to be further improved to increase the energy efficiency of cloud computing systems.

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“…Given the high demand for public compute resources, another issue will be the efficient and fair allocation of processor time between users. While methods for allocating compute resources in more general cases have been explored (Ghodsi et al, 2011;Wang et al, 2015;Xu & Yu, 2014;Souravlas & Katsavounis, 2019;Jebalia et al, 2018), future work could aim to ensure their applicability to this case. Alternatively, research could aim to find AI-specific optimizations for allocating compute among diverse users.…”

Section: Open Problemsmentioning

confidence: 99%

AI Governance Multi-stakeholder Convening

Greene

2022

The Oxford Handbook of AI Governance

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This chapter offers reflections and advice on AI ethics and governance from a year spent leading Partnership on AI’s multi-stakeholder Affective Computing and Ethics project, involving more than 200 engineers, scientists, lawyers, privacy and civil rights advocates, bioethicists, managers, executives, journalists, and government officials, mostly in the United States, United Kingdom, and European Union, in discussions about AI related to emotion and affect and its potential impacts on civil and human rights, with a goal of developing industry best practices and better technology policy. The author’s reflections from that year draw lessons on convening, multi-disciplinary collaboration, and affective computing and AI ethics and governance. The chapter offers a blueprint for creating the shared knowledge foundation non-technical participants need to apply their expertise. It presents question exploration as a tool for evaluating ethics risk and using “What is notice good for?” shows how a well-chosen question can serve as a catalyst for group or individual exploration of the issues, leading to insights and answers. It includes a curated list of 42 questions, catalysts for AI and ethics discussion for industry, university, news media, and policy teams; multi-disciplinary, multi-stakeholder AI ethics and governance convenings; and for individual writing and thinking, to take scholars and practitioners a step beyond or to the side of what they have been thinking about—about AI and ethics.

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A Fair Resource Allocation Approach in Cloud Computing Environments

Cited by 5 publications

References 2 publications

Secure Cloud Storage Solution with “Seafile” & “NextCloud”: A Resilient Efficiency Assessment

Secure Cloud Storage Solution with “Seafile” & “NextCloud”: A Resilient Efficiency Assessment

Analysis of QoS aware energy‐efficient resource provisioning techniques in cloud computing

AI Governance Multi-stakeholder Convening

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