Formulating and managing viable SLAs in cloud computing from a small to medium service provider's viewpoint: A state-of-the-art review
Walayat Hussain,Farookh Khadeer Hussain,Omar Khadeer Hussain,Ernesto Damiani,Elizabeth Chang +4 more
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TLDR
The Optimized Personalized Viable SLA (OPV-SLA) framework is proposed which assists a service provider to form a viable SLA and start managing SLA violation before an SLA is formed and executed and the applicability of the framework is demonstrated through experiments.About:
This article is published in Information Systems.The article was published on 2017-11-01 and is currently open access. It has received 47 citations till now. The article focuses on the topics: Service-level agreement & Service provider.read more
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![Table 7: Transaction trends of consumers ID – 254 and 34 (reproduced from [62])](/figures/table-7-transaction-trends-of-consumers-id-254-and-34-25ckggor.webp)
Citations
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Cloud computing model selection for e-commerce enterprises using a new 2-tuple fuzzy linguistic decision-making method
TL;DR: A novel 2-tuple fuzzy linguistic multi-criteria group decision-making method based on the technique for order preference by similarity to ideal solution (TOPSIS) and rely upon a technology-organization-environment (TOE) framework to determine a set of appropriate criteria.
Journal Article
Service level agreements.
TL;DR: The main requirements of customers for change through service level agreements is usually improved communications on job status that includes notification of any delays and that agreed response times will be met.
Journal ArticleDOI
A new QoS prediction model using hybrid IOWA-ANFIS with fuzzy C-means, subtractive clustering and grid partitioning
TL;DR: In this paper, a novel clustered induced ordered weighted averaging (IOWA) adaptive Neuro-Fuzzy Inference System (ANFIS) model is proposed for time series prediction.
Journal ArticleDOI
A new QoS prediction model using hybrid IOWA-ANFIS with fuzzy C-means, subtractive clustering and grid partitioning
TL;DR: In this paper , a novel clustered induced ordered weighted averaging (IOWA) adaptive Neuro-Fuzzy Inference System (ANFIS) model is proposed for time series prediction.
Journal ArticleDOI
Cloud Marginal Resource Allocation: A Decision Support Model
TL;DR: A novel marginal resource allocation decision support model to assist cloud providers to manage the cloud SLAs before its execution, covering all possible scenarios, including whether a consumer is new or not, and whether the consumer requests the same or different marginal resources.
References
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ReportDOI
The NIST Definition of Cloud Computing
Peter Mell,Timothy Grance +1 more
TL;DR: This cloud model promotes availability and is composed of five essential characteristics, three service models, and four deployment models.
Journal ArticleDOI
Case-based reasoning: foundational issues, methodological variations, and system approaches
Agnar Aamodt,Enric Plaza +1 more
TL;DR: An overview of the foundational issues related to case-based reasoning is given, some of the leading methodological approaches within the field are described, and the current state of the field is exemplified through pointers to some systems.
Proceedings ArticleDOI
SLA-Based Resource Allocation for Software as a Service Provider (SaaS) in Cloud Computing Environments
TL;DR: This paper proposes resource allocation algorithms for SaaS providers who want to minimize infrastructure cost and SLA violations, designed in a way to ensure that Saas providers are able to manage the dynamic change of customers, mapping customer requests to infrastructure level parameters and handling heterogeneity of Virtual Machines.
Journal ArticleDOI
Sandpiper: Black-box and gray-box resource management for virtual machines
TL;DR: Sandpiper is a system that automates the task of monitoring and detecting hotspots, determining a new mapping of physical to virtual resources, resizing virtual machines to their new allocations, and initiating any necessary migrations, and it is shown that the gray-box approach can help Sandpiper make more informed decisions, particularly in response to memory pressure.
Proceedings ArticleDOI
Low level Metrics to High level SLAs - LoM2HiS framework: Bridging the gap between monitored metrics and SLA parameters in cloud environments
TL;DR: The LoM2HiS framework detects future SLA violation threats and can notify the enactor component to act so as to avert the threats, and is embedded into FoSII infrastructure, which facilitates autonomic SLA management and enforcement.