Real-time GPS tracking using serverless architecture and ARM processor

Anand, Sundar; Johnson, Annie; Mathikshara, Priyanka; Karthik, R.

doi:10.1109/comsnets.2019.8711273

Cited by 13 publications

(5 citation statements)

References 5 publications

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“…For example, Yan et al [17] developed a chatbot using the OpenWhisk FaaS service. Also, real-time data processing has been performed using a serverless processing model [18] [19] [20]. In the field of security, using this model, Bila et al [21] have developed a mechanism to secure Linux containers.…”

Section: Related Workmentioning

confidence: 99%

A heuristic-based package-aware function scheduling approach for creating a trade-off between cold start time and cost in FaaS computing environments

et al. 2023

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With the migration of the enterprise applications to micro-services and containers, cloud service providers, starting with Amazon in 2014, announced a new computational model called function-as-aservice. In these platforms, developers create a set of fine-grained functions with shorter execution times instead of developing coarse-grained software. In addition, the management of system resources and servers is entrusted to cloud service providers. This model has many benefits, such as reducing costs, improving resource utilization, and helping developers focus on the core logic of applications. But still faces many challenges such as balancing cost, balancing performance, programming models, using current dev tools, containers' cold start problem, saving data in caches, security issues, privacy concerns, and scheduling challenges like execution time prediction. In this paper, we focus on scheduling and cold start problems. Compromise occurs when keeping warm operating environments which can reduce cold start times but increase costs. In this study, we propose a dynamic waiting time adjustment approach. We aim to create a trade-off by using four different types of decisions at runtime using a heuristic method and analyzing the function dependency graph, functions' invocation frequency, and other environmental parameters. The proposed method shows a 32% improvement over the fixedtime method (i.e. the method used by Apache OpenWhisk). This comparison is made from the cumulative measurement viewpoint which is a combination of response time, turnaround time, cost, and utilization.

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Section: Related Workmentioning

confidence: 99%

A heuristic-based package-aware function scheduling approach for creating a trade-off between cold start time and cost in FaaS computing environments

et al. 2023

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“…For example, in the real‐time collaboration and analytics domain, auto‐scaling is a crucial requirement and serverless computing is hence an ideal solution. In Reference 8, a serverless instant messaging approach was introduced to exchange XMPP messages, and in Reference 9, a real‐time GPS tracking method using serverless architecture and low‐power processors was proposed. The FaaS paradigm is also promising in the scientific computing domain due to its high‐performance, automatic scaling, and fined‐grained billing 10 .…”

Section: Background and Related Workmentioning

confidence: 99%

A probabilistic modeling and evolutionary optimization approach for serverless workflow configuration

Wang,

Wu,

Zhang

et al. 2023

Softw Pract Exp

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Serverless computing has nowadays become a mainstream paradigm to develop cloud‐native applications owing to its high scalability, ease of usage and cost‐effectiveness. Nevertheless, because of its poor infrastructure transparency, two main challenges emerge when users migrate their applications to a serverless platform: the lack of an effective analytical model for performance and billing, and the trade‐off problem between them. In this paper, we formally define a serverless workflow and introduce the concept of execution instances. Based on them, a probabilistic performance and cost evaluation model is built to obtain their expected values for an input serverless workflow. Then, we design a tailored evolutionary optimization algorithm called EASW to tackle budget‐constrained performance optimization and performance‐constrained cost optimization problems. Extensive experiments were carried out to test the proposed model and optimization algorithm on AWS Lambda. Results reveal that our model can achieve an accuracy over 98% and EASW can yield a better memory configuration solution than existing methods for constrained optimization.

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“…In the field of real-time systems, Yan et al [16] developed a chatbot using the OpenWhisk Faas service. Also, in this field, various research works such as global positioning systems and real-time data processing have been performed using a serverless processing model [17] [18] [19]. In the field of security, using this model, Bila et al [20] have developed a mechanism to secure Linux containers.…”

Section: Related Workmentioning

confidence: 99%

A heuristic-based package-aware function scheduling approach for creating a trade-off between cold-start time and cost in FaaS computing environments

Ebrahimpour

Ashtiani

Bakhtiariazad

2022

Preprint

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With the migration of the enterprise applications to micro-services and containers, cloud service providers, starting with Amazon in 2014, announced a new computational model called function-as-a-service. In these platforms, developers create a set of fine-grained functions with shorter execution times instead of developing coarse-grained software. In addition, the management of system resources and servers is entrusted to cloud service providers. This model has many benefits, such as reducing costs, but still faces many challenges such as balancing cost, balancing performance, programming models, using current dev tools, containers’ cold start problem, saving data in caches, security issues, privacy concerns, and scheduling challenges like execution time prediction. In this paper, we focus on scheduling and cold start problems. Compromise occurs when keeping warm operating environments which can reduce cold start times but increase costs. Here, we aim to create a trade-off by using four different types of decisions at runtime using a heuristic method and analyzing the function dependency graph, functions’ invocation frequency, and other environmental parameters. The proposed method shows a 32% improvement over the fixed-time method (i.e. the method used by Amazon). This comparison is made from the cumulative measurement viewpoint which is a combination of response time, turnaround time, cost, and utilization.

show abstract

Real-time GPS tracking using serverless architecture and ARM processor

Cited by 13 publications

References 5 publications

A heuristic-based package-aware function scheduling approach for creating a trade-off between cold start time and cost in FaaS computing environments

A heuristic-based package-aware function scheduling approach for creating a trade-off between cold start time and cost in FaaS computing environments

A probabilistic modeling and evolutionary optimization approach for serverless workflow configuration

A heuristic-based package-aware function scheduling approach for creating a trade-off between cold-start time and cost in FaaS computing environments

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