Object storage in the cloud and multi-cloud: State of the art and the research challenges

Bucur, Vlad; Dehelean, Catalin; Miclea, Liviu

doi:10.1109/aqtr.2018.8402762

Cited by 16 publications

(6 citation statements)

References 12 publications

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“…Multi-cloud storage strategies seek to reduce security and availability risks by diversifying this risk through the use of multiple cloud storage service providers (Bucur et al 2018). For example, Alqahtani and Kouadri-Mostefaou (2014) propose a framework that ensures the security of mobile cloud computing by deploying distributed multi-cloud storage, data encryption, and data compression techniques.…”

Section: Security and Privacymentioning

confidence: 99%

“…The service provider maps the information of fragmented and merged data to the individual users and the multi-cloud technique applied protects data on other segments if one segment is compromised. While multi-cloud storage in theory has many advantageous attributes, in practice, it has significant O. M. ALOFE AND K. FATEMA limitations, not least the lack of standards-based interoperable clouds and APIs, the possible amplification of the attack surface to multiple clouds, and the management and measurement of multiple service level agreements across multiple clouds (Bucur et al 2018).…”

Section: Security and Privacymentioning

confidence: 99%

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Data Privacy and Trust in Cloud Computing

2021

Palgrave Studies in Digital Business &Amp; Enabling Technologies

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This multi-disciplinary series will provide a comprehensive and coherent account of cloud computing, social media, mobile, big data, and other enabling technologies that are transforming how society operates and how people interact with each other. Each publication in the series will focus on a discrete but critical topic within business and computer science, covering existing research alongside cutting edge ideas. Volumes will be written by field experts on topics such as cloud migration, measuring the business value of the cloud, trust and data protection, fintech, and the Internet of Things. Each book has global reach and is relevant to faculty, researchers and students in digital business and computer science with an interest in the decisions and enabling technologies shaping society.

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Section: Security and Privacymentioning

confidence: 99%

Section: Security and Privacymentioning

confidence: 99%

Data Privacy and Trust in Cloud Computing

2021

Palgrave Studies in Digital Business &Amp; Enabling Technologies

View full text Add to dashboard Cite

show abstract

“…Five common approaches for protecting cloud systems and data in extant literature include multi-cloud storage, homomorphic encryption schemes, secure sharing systems, deployment of intermediary components, as well as more traditional security and privacy methods. Multi-cloud storage strategies seek to reduce security and availability risks by diversifying this risk through the use of multiple cloud storage service providers (Bucur et al 2018). For example, Alqahtani and Kouadri-Mostefaou (2014) propose a framework that ensures the security of mobile cloud computing by deploying distributed multi-cloud storage, data encryption, and data compression techniques.…”

Section: Executionmentioning

confidence: 99%

“…The service provider maps the information of fragmented and merged data to the individual users and the multi-cloud technique applied protects data on other segments if one segment is compromised. While multi-cloud storage in theory has many advantageous attributes, in practice, it has significant Mundie et al (2002) limitations, not least the lack of standards-based interoperable clouds and APIs, the possible amplification of the attack surface to multiple clouds, and the management and measurement of multiple service level agreements across multiple clouds (Bucur et al 2018).…”

Section: Executionmentioning

confidence: 99%

Trustworthy Cloud Computing

Alofe

Fatema

2020

Palgrave Studies in Digital Business &Amp; Enabling Technologies

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Trustworthy cloud computing has been a central tenet of the European Union cloud strategy for nearly a decade. This chapter discusses the origins of trustworthy computing and specifically how the goals of trustworthy computing—security and privacy, reliability, and business integrity—are represented in computer science research. We call for further inter- and multi-disciplinary research on trustworthy cloud computing that reflect a more holistic view of trust.

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“…This has encouraged clients to spread their workload across different types of cloud providers, i.e. the multi-cloud strategy [2], rather than relying on one CSP, which gives clients more choices and benefits while making their businesses highly available and fault tolerant. In fact, by using another cloud as a backup site [2], it is possible to avoid downtimes during an unexpected peak of workload, or to lessen security risks by providing a higher level of resiliency against malicious attacks such as Distributed Denial of Service (DDoS).…”

Section: Introductionmentioning

confidence: 99%

EMMCS: An Edge Monitoring Framework for Multi-Cloud Environments using SNMP

Khoudali¹,

Benzidane²,

Sekkaki³

2019

ijacsa

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Multi-cloud computing is no different than other Cloud computing (CC) models when it comes to providing users with self-services IT resources. For instance, a company can use services of one specific cloud Service Provider (CSP) for its business, as it can use more than one CSP either to get the best of each without any vendor lock-in. However, the situation is different regarding monitoring a multi-cloud environment. In fact, CSPs provide in-house monitoring tools that are natively compatible with their environment but lack support for other CSP's environments, which is problematic for any company that wants to use more than a CSP. In addition, third party cloud monitoring tools often use agents installed on each monitored virtual machine (VM) to collect monitoring data and send them to a central monitoring server that is hosted on premise or on a Cloud, which increases bottlenecks and latency while transmitting data or processing it. Therefore, this paper presents a monitoring framework for multi-cloud environments that implements edge computing and RESTFul microservices for a high efficiency monitoring and scalability. In fact, the monitoring framework "EMMCS" uses SNMP agents to collect metrics, and performs all monitoring tasks at the edge of each cloud to enhance network transmission and data processing at the central monitoring server level. The implementation of the framework is tested on different public cloud environments, namely Amazon AWS and Microsoft Azure to show the efficiency of the proposed approach.

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Object storage in the cloud and multi-cloud: State of the art and the research challenges

Cited by 16 publications

References 12 publications

Data Privacy and Trust in Cloud Computing

Data Privacy and Trust in Cloud Computing

Trustworthy Cloud Computing

EMMCS: An Edge Monitoring Framework for Multi-Cloud Environments using SNMP

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