Zobrazeno 1 - 10
of 640
pro vyhledávání: '"Mohsen, Amini"'
Current Serverless abstractions (e.g., FaaS) poorly support non-functional requirements (e.g., QoS and constraints), are provider-dependent, and are incompatible with other cloud abstractions (e.g., databases). As a result, application developers hav
Externí odkaz:
http://arxiv.org/abs/2410.16569
Deep neural network (DNN) models are effective solutions for industry 4.0 applications (\eg oil spill detection, fire detection, anomaly detection). However, training a DNN network model needs a considerable amount of data collected from various sour
Externí odkaz:
http://arxiv.org/abs/2409.15802
The function-as-a-service (FaaS) paradigm is envisioned as the next generation of cloud computing systems that mitigate the burden for cloud-native application developers by abstracting them from cloud resource management. However, it does not deal w
Externí odkaz:
http://arxiv.org/abs/2408.04898
Publikováno v:
Proceedings of the 44th International Conference on Distributed Computing Systems Workshops (ICDCSW), Jersey City, New Jersey, July 2024
While the first generation of cloud computing systems mitigated the job of system administrators, the next generation of cloud computing systems is emerging to mitigate the burden for cloud developers -- facilitating the development of cloud-native a
Externí odkaz:
http://arxiv.org/abs/2407.17391
Service liquidity across edge-to-cloud or multi-cloud will serve as the cornerstone of the next generation of cloud computing systems (Cloud 2.0). Provided that cloud-based services are predominantly containerized, an efficient and robust live contai
Externí odkaz:
http://arxiv.org/abs/2407.00313
Although system heterogeneity has been extensively studied in the past, there is yet to be a study on measuring the impact of heterogeneity on system performance. For this purpose, we propose a heterogeneity measure that can characterize the impact o
Externí odkaz:
http://arxiv.org/abs/2312.03235
Containerized services deployed within various computing systems, such as edge and cloud, desire live migration support to enable user mobility, elasticity, and load balancing. To enable such a ubiquitous and efficient service migration, a live migra
Externí odkaz:
http://arxiv.org/abs/2309.03168
Autor:
Zobaed, SM, Salehi, Mohsen Amini
Confidential computing has gained prominence due to the escalating volume of data-driven applications (e.g., machine learning and big data) and the acute desire for secure processing of sensitive data, particularly, across distributed environments, s
Externí odkaz:
http://arxiv.org/abs/2307.16447
With the increasing popularity of accelerator technologies (e.g., GPUs and TPUs) and the emergence of domain-specific computing via ASICs and FPGA, the matter of heterogeneity and understanding its ramifications on the performance has become more cri
Externí odkaz:
http://arxiv.org/abs/2303.10901