A cloud-agnostic queuing system to support the implementation of deadline-based application execution policies

Kiss, Tamás; DesLauriers, James; Gesmier, Gregoire; Terstyánszky, Gábor; Pierantoni, Gabriele; Oun, Osama Abu; Taylor, Simon J. E.; Anagnostou, Anastasia; Kovács, József

doi:10.1016/j.future.2019.05.062

Cited by 15 publications

(14 citation statements)

References 9 publications

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“…It is important to mention here that Bouncer is an SLA-aware implementation of policy-based cloud services admission. In case of distributed concurrent applications, such as block chain systems or multi-parallel processing queue service streaming, heuristic solutions have been proposed in [49][50][51] which provide scalability-related solutions to reduce the gap between the service provider and the clients by using a utility factor. A utility factor in case of cloud services admission may be referred to time (scheduling, response time) and budget (pay as you go service usage policy, etc.).…”

Section: Resultsmentioning

confidence: 99%

Bouncer: A Resource-Aware Admission Control Scheme for Cloud Services

et al. 2019

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Cloud computing is a paradigm that ensures the flexible, convenient and on-demand provisioning of a shared pool of configurable network and computing resources. Its services can be offered by either private or public infrastructures, depending on who owns the operational infrastructure. Much research has been conducted to improve a cloud’s resource provisioning techniques. Unfortunately, sometimes an abrupt increase in the demand for cloud services results in resource shortages affecting both providers and consumers. This uncertainty of resource demands by users can lead to catastrophic failures of cloud systems, thus reducing the number of accepted service requests. In this paper, we present Bouncer—a workload admission control scheme for cloud services. Bouncer works by ensuring that cloud services do not exceed the cloud infrastructure’s threshold capacity. By adopting an application-aware approach, we implemented Bouncer on software-defined network (SDN) infrastructure. Furthermore, we conduct an extensive study to evaluate our framework’s performance. Our evaluation shows that Bouncer significantly outperforms the conventional service admission control schemes, which are still state of the art.

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Section: Resultsmentioning

confidence: 99%

Bouncer: A Resource-Aware Admission Control Scheme for Cloud Services

et al. 2019

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“…4. In conclusion, to guarantee the versatility and robustness of the architecture, three aspects are important to take into account: (i) scalability, microservices can be scaled individually when running a heavy workload just by replicating them on several containers without and not replicating the others underutilized (maximize the performance with minimal cost) [19], [74]; (ii) communication in a microservice, is important establishing simple communication protocol like http, httprest "request/response" (synchronous protocol) or mqtt "publish/subscribe" (asynchronous protocol), depending on needs [67]; (iii) fine-grained microservices, it is fundamental to decompose each service focused on a specific function and of limited influence, according to the established requirements [75]; otherwise, this architecture suffers from a high level of abstraction and coordination among the teams [67], [76].…”

Section: Discussionmentioning

confidence: 99%

Telemonitoring System for Infectious Disease Prediction in Elderly People Based on a Novel Microservice Architecture

et al. 2020

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This article describes the design, development and implementation of a set of microservices based on an architecture that enables detection and assisted clinical diagnosis within the field of infectious diseases of elderly patients, via a telemonitoring system. The proposed system is designed to continuously update a medical database fed with vital signs from biosensor kits applied by nurses to elderly people on a daily basis. The database is hosted in the cloud and is managed by a flexible microservices software architecture. The computational paradigms of the edge and the cloud were used in the implementation of a hybrid cloud architecture in order to support versatile high-performance applications under the microservices pattern for the pre-diagnosis of infectious diseases in elderly patients. The results of an analysis of the usability of the equipment, the performance of the architecture and the service concept show that the proposed e-health system is feasible and innovative. The system components are also selected to give a cost-effective implementation for people living in disadvantaged areas. The proposed e-health system is also suitable for distributed computing, big data and NoSQL structures, thus allowing the immediate application of machine learning and AI algorithms to discover knowledge patterns from the overall population.

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“…The framework supports a mix of public, private, and community clouds and provides flexibility at the application level, regardless of the underlying cloud. This includes automated deployment and optimized run‐time orchestration with features such as automated scaling 19 and enhanced security.…”

Section: Micadomentioning

confidence: 99%

Cloud apps to‐go: Cloud portability with TOSCA and MiCADO

DesLauriers

Kiss

Ariyattu

et al. 2020

Concurrency and Computation

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As cloud adoption increases, so do the number of available cloud service providers.Moving complex applications between clouds can be beneficial-or other times necessary-but achieving this so-called cloud portability is rarely straightforward. This article presents the adoption of OASIS TOSCA, a standard in the declarative description of cloud applications, to encourage and facilitate cloud portability in MiCADO, an application-level multi-cloud orchestration and auto-scaling framework. The interface to MiCADO is an Application Description Template, which draws from the TOSCA specification to describe an application in MiCADO. The generic design of these templates is presented and their applicability for achieving portability between different container and cloud environments is analysed and evaluated. A proof-of-concept where MiCADO serves as the deployment and execution engine for a Science Gateway in Sleep Healthcare is then described. In this proof-of-concept, MiCADO facilitates the deployment of a complex healthcare application, which is then moved from one cloud service provider to another with only minimal changes to the template which originally described it. This TOSCA-based approach to templates in MiCADO encourages movement between clouds by making cloud portability more approachable.

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A cloud-agnostic queuing system to support the implementation of deadline-based application execution policies

Cited by 15 publications

References 9 publications

Bouncer: A Resource-Aware Admission Control Scheme for Cloud Services

Bouncer: A Resource-Aware Admission Control Scheme for Cloud Services

Telemonitoring System for Infectious Disease Prediction in Elderly People Based on a Novel Microservice Architecture

Cloud apps to‐go: Cloud portability with TOSCA and MiCADO

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