Service Level Management (SLM) in Cloud Computing - Third Party SLM Framework

Motta, Gianmario; You, Linlin; Sfondrini, Nicola; Sacco, Daniele; Ma, Tianyi

doi:10.1109/wetice.2014.36

Cited by 15 publications

(5 citation statements)

References 19 publications

(18 reference statements)

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“…Such strange control where providers not only provide services but also control them selves might lower and, ultimately, nullify the confidence in CC; hence the migration to Public Cloud might "roll-back", alike IT outsourcing at the end of the 90s. In order to avoid such rollback, a Cloud expert is suggested; in the contract setup phase, he could review possible flaws in SLAs breach (as suggested by the ENISA assurance framework and the CSA Cloud Control Matrix [22], [23]). …”

Section: Discussionmentioning

confidence: 99%

Service level agreement (SLA) in Public Cloud environments: A Survey on the current enterprises adoption

Sfondrini¹,

Motta

You

2015

2015 5th International Conference on Information Science and Technology (ICIST)

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In recent past, organizations have purchased IT equipment to be installed and directly managed within their own Data Centres. The rise of Cloud Computing generated an important shift of focus from the private boundaries of the companies to a new golden era of IT outsourcing. To analyse the quality of the services available on the market we conducted a survey based upon 58 IT professionals who have migrated critical business applications to the Public Cloud. The survey has been carried on to highlight the security policies, the minimum performance warranted by the Cloud providers and the presence of monitoring tools which allow to the customers a direct control on the deployed services. The study shows that the SLAs ofTered by Public Cloud Providers are not able to properly address the needs of the customers ensuring a low degree of control and a lack of transparency on the actual performance of the services.

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Section: Discussionmentioning

confidence: 99%

Service level agreement (SLA) in Public Cloud environments: A Survey on the current enterprises adoption

Sfondrini¹,

Motta

You

2015

2015 5th International Conference on Information Science and Technology (ICIST)

Self Cite

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“…Lindner et al [35] believe the application of the supply chain concept to cloud computing to be innovative and suggest the possibility of a new research field. According to Jenks [36], there is a gap between the 'what' and 'how' processes of managing cloud supply chain cybersecurity risks, and seeing that only a few recommendations have been made to bridge this gap, it remains an open research problem [37,38].…”

Section: Cloud Supply Chain Risksmentioning

confidence: 99%

CSCCRA: A Novel Quantitative Risk Assessment Model for SaaS Cloud Service Providers

2019

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Security and privacy concerns represent a significant hindrance to the widespread adoption of cloud computing services. While cloud adoption mitigates some of the existing information technology (IT) risks, research shows that it introduces a new set of security risks linked to multi-tenancy, supply chain and system complexity. Assessing and managing cloud risks can be a challenge, even for cloud service providers (CSPs), due to the increased numbers of parties, devices and applications involved in cloud service delivery. The limited visibility of security controls down the supply chain, further exacerbates this risk assessment challenge. As such, we propose the Cloud Supply Chain Cyber Risk Assessment (CSCCRA) model, a quantitative risk assessment model which is supported by supplier security posture assessment and supply chain mapping. Using the CSCCRA model, we assess the risk of a SaaS application, mapping its supply chain, identifying weak links in the chain, evaluating its security risks and presenting the risk value in monetary terms (£), with this, promoting cost-effective risk mitigation and optimal risk prioritisation. We later apply the Core Unified Risk Framework (CURF) in comparing the CSCCRA model with already established methods, as part of evaluating its completeness.

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“…Full service in all lifecycles is a substantial factor in logistics management. Lifecycle management has four separate parts, namely, introduction, growth, maturity, and decline state [21,22,120].…”

Section: Sub-criteria Of Evaluation Of the Service Lifecyclementioning

confidence: 99%

“…PLM is a crucial way to improve and manage all the steps of a product's lifecycle, which smoothly creates new value by using ICT technologies that achieve economic growth and quick responses to customer needs [18][19][20]. On the other hand, SLM concerns servitization to improve and quickly respond in the service industry [6,21,22]. PSS has been integrated from product and service to observe customer requirements to competitiveness in the manufacturing industry [8,[23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Logistics Service Provider Lifecycle Model in Industry 4.0: A Review

Tiwong,

Woschank,

Ramingwong

et al. 2024

Applied Sciences

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Supply chain and logistics management is of tremendous importance for multinational organizations. Logistics Service Providers (LSPs) provide logistics services and smooth logistics operations between suppliers, manufacturers, distributors, and customers. This paper uses a Systematic Literature Review (SLR) to identify the current trends and future developments of LSPs and the underlying (smart) logistics operations connected to the concept of lifecycle management. An SLR review was conducted to identify relevant research papers in the areas of LSPs and logistics lifecycle management. Out of 288 papers analyzed, 81 were identified as highly appropriate for in-depth analysis. The LSP Lifecycle Model (LSLM) was then developed by combining logistics service characteristics and the lifecycle management concept, including Product Lifecycle Management (PLM), Service Lifecycle Management (SLM), and Product Service System (PSS). The LSLM consists of three phases: The Beginning of Life (BOL), the Middle of Life (MOL), and the End of Life (EOL). The LSLM is characterized by three phases, eight criteria, and seventeen sub-criteria. This paper aims to fulfil customer requirements through a product or service in the whole lifecycle of the logistics service provider. The findings further present an adaptable LSLM by focusing on various logistics services and integrating sustainability factors to meet market trends. Logistics cost factors can also be used to evaluate logistics services in the MOL stage. The EOL shows the trend of risk management, evaluation, and decomposition, which is determined by new or re-designed logistics products and services.

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Service Level Management (SLM) in Cloud Computing - Third Party SLM Framework

Cited by 15 publications

References 19 publications

Service level agreement (SLA) in Public Cloud environments: A Survey on the current enterprises adoption

Service level agreement (SLA) in Public Cloud environments: A Survey on the current enterprises adoption

CSCCRA: A Novel Quantitative Risk Assessment Model for SaaS Cloud Service Providers

Logistics Service Provider Lifecycle Model in Industry 4.0: A Review

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