Cost-effective deployment of certified cloud composite services

Anisetti, Marco; Ardagna, Claudio Agostino; Damiani, Ernesto; Gaudenzi, Filippo; Jeon, Gwanggil

doi:10.1016/j.jpdc.2019.09.003

Cited by 9 publications

(4 citation statements)

References 32 publications

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“…Often, finding money to pay for NFR offloading is easier than finding staff or time, especially for small, resource constrained organizations. Furthermore, there is some notion that some NFRs may be realized and guaranteed through certified quality of service guarantees [57], allowing an organization to focus on the core of their business. Third, the utilization of cloud platforms [58], or even simulators [59], allow an organization to easily build otherwise costly environments solely for the purpose of verifying RELIABILITY, AVAILABILITY, PERFORMANCE, and SCALABILITY.…”

Section: Offloading Nfrs To Third-party Providers Results In Losing C...mentioning

confidence: 99%

Continuously Managing NFRs: Opportunities and Challenges in Practice

Werner,

Li,

Lowlind

et al. 2021

Preprint

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Non-functional requirements (NFR), which include performance, availability, and maintainability, are vitally important to overall software quality. However, research has shown NFRs are, in practice, poorly defined and difficult to verify. Continuous software engineering practices, which extend agile practices, emphasize fast paced, automated, and rapid release of software that poses additional challenges to handling NFRs. In this multi-case study we empirically investigated how three organizations, for which NFRs are paramount to their business survival, manage NFRs in their continuous practices. We describe four practices these companies use to manage NFRs, such as offloading NFRs to cloud providers or the use of metrics and continuous monitoring, both of which enable almost real-time feedback on managing the NFRs. However, managing NFRs comes at a cost-as we also identified a number of challenges these organizations face while managing NFRs in their continuous software engineering practices. For example, the organizations in our study were able to realize an NFR by strategically and heavily investing in configuration management and infrastructure as code, in order to offload the responsibility of NFRs; however, this offloading implied potential loss of control. Our discussion and key research implications show the opportunities, trade-offs, and importance of the unique give-and-take relationship between continuous software engineering and NFRs. Research artifacts may be found at https://doi.org/10.5281/zenodo.3376342.

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Section: Offloading Nfrs To Third-party Providers Results In Losing C...mentioning

confidence: 99%

Continuously Managing NFRs: Opportunities and Challenges in Practice

Werner,

Li,

Lowlind

et al. 2021

Preprint

View full text Add to dashboard Cite

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“…Some considered works ( [12], [13], [14], [9]) address the Edge-Cloud Continuum scenario, but only the architecture presented in [14] can seamlessly deploy applications along the Continuum since it is fully independent of the specific technology and CSP involved. QoS requirements and constraints are taken in account, even partially, by most of the works ( [13], [15], [14], [6], [16], [10]), but only [13], [15] provide a comprehensive way to model both applications and environment. Finally, there is no solution that performs a lifecycle management of the deployment, adapting to changes in context.…”

Section: A Edge-continuum Deployment Requirementsmentioning

confidence: 99%

“…Given the set of deployment solutions M , if the CSP policy refers to operational cost reduction only, a solution like the one in [16] can be adopted. We will investigate the impact of more articulated CSP policies as well as the adoption of an optimization approach for finding the suitable deployment solution and contemporaneously addressing such CSP policy in our future works.…”

Section: Deployment Matchingmentioning

confidence: 99%

QoS-Aware Deployment of Service Compositions in 5G-Empowered Edge-Cloud Continuum

Anisetti,

Berto,

Bondaruc

2023

2023 IEEE 16th International Conference on Cloud Computing (CLOUD)

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Nowadays, modern service compositions are increasingly adopted in critical scenarios where advanced Quality of Services (QoS) such as low latency, security, and privacy are fundamental. The landing platforms for the deployment of such compositions are progressively becoming capable to offer capabilities that support such advanced QoS requests (e.g., low latency via 5G network slice) spanning the Edge-Cloud Continuum. Actual deployment solutions focus mainly on resource allocation (i.e., CPU, memory, and storage), falling short of addressing advanced QoS and unleashing the true potential of the Edge-Cloud Continuum. In this paper, we present an automatic QoSaware deployment solution for composed services in the Edge-Cloud Continuum. It compares QoS requests on the service composition with the capabilities of a given continuum in order to find, generate and execute suitable deployment recipes. Our preliminary experimental evaluation demonstrates the feasibility of our solution in a realistic scenario.

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“…Today cloud services are required to give stable Quality of Service (QoS), as these can be reused. A cost-effective approach is required to provide cloud service composition [75]. Offloading appears as solution for IoT applications and devices but it is not as straightforward as it seems to be, raising further, several challenges from this fusion of technologies.…”

Section: Future Research Challengesmentioning

confidence: 99%

Implementation analysis of IoT-based offloading frameworks on cloud/edge computing for sensor generated big data

Bajaj

Sharma

Singh

2021

Complex Intell. Syst.

104

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The Internet of Things (IoT) applications and services are increasingly becoming a part of daily life; from smart homes to smart cities, industry, agriculture, it is penetrating practically in every domain. Data collected over the IoT applications, mostly through the sensors connected over the devices, and with the increasing demand, it is not possible to process all the data on the devices itself. The data collected by the device sensors are in vast amount and require high-speed computation and processing, which demand advanced resources. Various applications and services that are crucial require meeting multiple performance parameters like time-sensitivity and energy efficiency, computation offloading framework comes into play to meet these performance parameters and extreme computation requirements. Computation or data offloading tasks to nearby devices or the fog or cloud structure can aid in achieving the resource requirements of IoT applications. In this paper, the role of context or situation to perform the offloading is studied and drawn to a conclusion, that to meet the performance requirements of IoT enabled services, context-based offloading can play a crucial role. Some of the existing frameworks EMCO, MobiCOP-IoT, Autonomic Management Framework, CSOS, Fog Computing Framework, based on their novelty and optimum performance are taken for implementation analysis and compared with the MAUI, AnyRun Computing (ARC), AutoScaler, Edge computing and Context-Sensitive Model for Offloading System (CoSMOS) frameworks. Based on the study of drawn results and limitations of the existing frameworks, future directions under offloading scenarios are discussed.

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Cost-effective deployment of certified cloud composite services

Cited by 9 publications

References 32 publications

Continuously Managing NFRs: Opportunities and Challenges in Practice

Continuously Managing NFRs: Opportunities and Challenges in Practice

QoS-Aware Deployment of Service Compositions in 5G-Empowered Edge-Cloud Continuum

Implementation analysis of IoT-based offloading frameworks on cloud/edge computing for sensor generated big data

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