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Optimizing Resource Allocation Framework for multi-cloud Environment

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Computers, Materials & Continua 2023年第5期75卷 4119-4136页

作者： Tahir Alyas Taher M.Ghazal Badria Sulaiman Alfurhood Ghassan F.Issa Osama Ali Thawabeh Qaiser Abbas Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan School of Information Technology Skyline University CollegeUniversity City Sharjah1797SharjahUAE Center for Cyber Security Faculty of Information Science and TechnologyUniversiti Kebansaan Malaysia(UKM)43600BangiSelangorMalaysia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11564Saudi Arabia Skyline University College University City Sharjah1797SharjahUAE Faculty of Computer and Information Systems Islamic University of Madinah Madinah42351Saudi Arabia

cloud computingmakes dynamic resource provisioning more *** a functioning service is crucial,and changes are made when particular criteria are *** research explores the decentralized multi-cloud environment for allocating resources and ensuring the Quality of Service(QoS),estimating the required resources,and modifying allotted resources depending on workload and parallelism due to *** allocation is a complex challenge due to the versatile service providers and resource *** engagement of different service and resource providers needs a cooperation strategy for a sustainable quality of *** objective of a coherent and rational resource allocation is to attain the quality of *** also includes identifying critical parameters to develop a resource allocation mechanism.A framework is proposed based on the specified parameters to formulate a resource allocation process in a decentralized multi-cloud *** three main parameters of the proposed framework are data accessibility,optimization,and *** an optimization technique,these three segments are further divided into subsets for resource allocation and long-term service *** cloudSim simulator has been used to validate the suggested *** experiments have been conducted to find the best configurations suited for enhancing collaboration and resource allocation to achieve sustained *** results support the suggested structure for a decentralized multi-cloud environment and the parameters that have been determined.

关键词： multi-cloud query optimization cloud resources allocation modelling virtualization

Virtual earth cloud: a multi-cloud framework for enabling geosciences digital ecosystems

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International Journal of Digital Earth 2023年第1期16卷 43-65页

作者： Mattia Santoro Paolo Mazzetti Stefano Nativi National Research Council of Italy Institute of Atmospheric Pollution Research-Unit of FlorenceRomaItaly Joint Research Centre of the European Commission B6 UnitIspraltaly

Humankind is facing unprecedented global environmental and social challenges in terms of food,water and energy security,resilience to natural hazards,*** address these challenges,international organizations have defined a list of policy actions to be achieved in a relatively short and medium-term *** development and use of knowledge platforms is key in helping the decision-making process to take significant decisions(providing the best available knowledge)and avoid potentially negative impacts on society and the *** knowledge platforms must build on the recent and next coming digital technologies that have transformed society–including the science and engineering *** Earth Data(BED)science aims to provide the methodologies and instruments to generate knowledge from numerous,complex,and diverse data *** science requires the development of Geoscience Digital Ecosystems(GEDs),which bank on the combined use of fundamental technology units(*** data,learning-driven artificial intelligence,and network-based computing platform)to enable the development of more detailed knowledge to observe and test planet Earth as a *** manuscript contributes to the BED science research domain,by presenting the Virtual Earth cloud:a multi-cloud framework to support GDE implementation and generate knowledge on environmental and social sustainability.

关键词： Earth observation geosciences digital ecosystem virtual cloud big earth data multi-cloud interoperability science

Enhancing the Trustworthiness of 6G Based on Trusted multi-cloud Infrastructure:A Practice of Cryptography Approach

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Computer Modeling in Engineering & Sciences 2024年第1期138卷 957-979页

作者： Mingxing Zhou Peng Xiao Qixu Wang Shuhua Ruan Xingshu Chen Menglong Yang School of Cyber Science and Engineering Sichuan UniversityChengdu610207China Cyber Science Research Institute Sichuan UniversityChengdu610207China Information Center China Southern Power Grid Yunnan Power Grid Co.Ltd.Kunming650000China School of Aeronautics and Astronautics Sichuan UniversityChengdu610065China*Corresponding Author:QixuWang.Email:qixuwang@***

Due to the need for massive device connectivity,low communication latency,and various customizations in 6G architecture,a distributed cloud deployment approach will be more relevant to the space-air-ground-sea integrated network ***,the openness and heterogeneity of the 6G network cause the problems of network *** improve the trustworthiness of 6G networks,we propose a trusted computing-based approach for establishing trust relationships inmulti-cloud *** proposed method shows the relationship of trust based on dual-level *** separates the trustworthy states of multiple complex cloud units in 6G architecture into the state within and between cloud ***,SM3 algorithm establishes the chain of trust for the system’s trusted boot ***,the remote attestation server(RAS)of distributed cloud units verifies the physical ***,the physical servers use a ring approach to verify the cloud ***,the centralized RAS takes one-time authentication to the critical evidence information of distributed cloud unit ***,the centralized RAS also verifies the evidence of distributed *** establish our proposed approach in a natural OpenStack-based cloud *** simulation results show that the proposed method achieves higher security with less than a 1%system performance loss.

关键词： 6G multi-cloud trusted Infrastructure remote attestation commercial cipher

A Selection Algorithm of Service Providers for Optimized Data Placement in multi-cloud Storage Environment

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国际计算机前沿大会会议论文集 2015年第1期 25-27页

作者： Wenbin Yao Liang Lu Beijing Key Laboratory of Intelligent Telecommunications Software and multimedia Beijing University of Posts and TelecommunicationsBeijingChina

The benefits of cloud storage come along with challenges and open issues about availability of services, vendor lock-in and data security, etc. One solution to mitigate the problems is the multi-cloud storage, where the selection of service providers is a key point. In this paper, an algorithm that can select optimal provider subset for data placement among a set of providers in multicloud storage architecture based on IDA is proposed, designed to achieve good tradeoff among storage cost, algorithm cost, vendor lock-in, transmission performance and data availability. Experiments demonstrate that it is efficient and accurate to find optimal solutions in reasonable amount of time, using parameters taken from real cloud providers.

关键词： cloud storage multi-cloud service provider selection data placement information dispersal algorithm