Cache performance models for quality of service compliance in storage clouds

Abstract

With the growing popularity of cloud-based data centres as the enterprise IT platform of choice, there is a need for effective management strategies capable of maintaining performance within SLA and QoS parameters when responding to dynamic conditions such as increasing demand. Since current management approaches in the cloud infrastructure, particularly for data-intensive applications, lack the ability to systematically quantify performance trends, static approaches are largely employed in the allocations of resources when dealing with volatile demand in the infrastructure. We present analytical models for characterising cache performance trends at storage cache nodes. Practical validations of cache performance for derived theoretical trends show close approximations between modelled characterisations and measurement results for user request patterns involving private datasets and publicly available datasets. The models are extended to encompass hybrid scenarios based on concurrent requests of both private and public content. Our models have potential for guiding (a) efficient resource allocations during initial deployments of the storage cloud infrastructure and (b) timely interventions during operation in order to achieve scalable and resilient service delivery.

Cloud computing research: A review of research themes, frameworks, methods and future research directions

“…Out of 285 articles reviewed, only 116 studies used either qualitative (e.g., Alshamaila et al, 2013;Jones, 2015;Mital, Pani, Damodaran, & Ramesh, 2015), quantitative (Oliveira, Thomas, & Espadanal, 2014;Park & Ryoo, 2013;Ratten, 2014) and mixed research methodologies. Majority of articles in this review were technical in nature and utilized simulation (e.g., Garg et al, 2012;Giessmann & Stanoevska-Slabeva, 2013;Grolinger et al, 2013;Hu & Tang, 2015;Mauch et al, 2013;Sithole et al, 2013) as methods of enquiry. Also, some studies (e.g., Buyya et al, 2009;Marston et al, 2011;Sultan, 2013) focus on in terms of methodology in order to add more rigour to their studies.…”

“…This categorization was carried out based on research framework or models used in the articles reviewed. It was evident that most of the studies did not use frameworks (e.g., Mauch, Kunze, & Hillenbrand, 2013;Sithole et al, 2013;Varadi, Kertesz, & Parkin, 2012). Given that a large number of the articles reviewed utilized simulation and experiments, they were not based on any research framework.…”

“…Issues examined under the technological issues theme include cloud computing performance, data management, data center management, service management, architecture and security. Cloud computing performance studies (e.g., Mauch, Kunze, & Hillenbrand, 2013;Sithole et al, 2013) argue for the development of cloud-based infrastructure that will support the increasing number of users and variety of cloud-based applications. These studies also point out that the performance of cloud-based systems still needs further improvement due to the emergence of big data with its associated volume and speed of data.…”

Using Object-Relational Mapping to Create the Distributed Databases in a Hybrid Cloud Infrastructure

“…This task is theoretically formulated in [2,6]. There are solutions for specific applications [4,7,15].…”

Components of service value in business-to-business Cloud Computing

“…Three main types of service are offered to business customers of cloud providers [9,10]. Firstly, Software as a Service (SaaS) enables a subscriber to utilise applications offered within the cloud infrastructure.…”