Federated cloud resource management: Review and discussion

M Liaqat, V Chang, A Gani, SH Ab Hamid… - Journal of Network and …, 2017 - Elsevier
Federation of clouds is the future of cloud computing, mobile cloud computing, Internet of
things, and big data applications. The utilization of federated resources is envisioned to …

Real-time scheduling based on optimized topology and communication traffic in distributed real-time computation platform of storm

C Li, J Zhang, Y Luo - Journal of Network and Computer Applications, 2017 - Elsevier
In recent years, Storm, an open source distributed real-time computation system, has gained
significant amount of popularity in cloud computing industry due to its high reliability and …

Dspbench: A suite of benchmark applications for distributed data stream processing systems

MV Bordin, D Griebler, G Mencagli, CFR Geyer… - IEEE …, 2020 - ieeexplore.ieee.org
Systems enabling the continuous processing of large data streams have recently attracted
the attention of the scientific community and industrial stakeholders. Data Stream Processing …

Distributed QoS-aware scheduling in Storm

V Cardellini, V Grassi, F Lo Presti… - Proceedings of the 9th …, 2015 - dl.acm.org
Storm is a distributed stream processing system that has recently gained increasing interest.
We extend Storm to make it suitable to operate in a geographically distributed and highly …

Delivering elastic containerized cloud applications to enable DevOps

C Barna, H Khazaei, M Fokaefs… - 2017 IEEE/ACM 12th …, 2017 - ieeexplore.ieee.org
Following recent technological advancements in software systems, like microservices,
containers and cloud systems, DevOps has risen as a new development paradigm. Its aim is …

[PDF][PDF] Cloud monitoring system: basics, phases and challenges

MN Birje, C Bulla - International Journal of Recent Technology …, 2019 - researchgate.net
Due to many economical benefits cloud computing has quickly become popular and is
widely used for delivering services over the Internet. As the number of cloud users increases …

An empirical analysis of vm startup times in public iaas clouds

J Hao, T Jiang, W Wang, IK Kim - 2021 IEEE 14th International …, 2021 - ieeexplore.ieee.org
VM startup time is an essential factor in designing elastic cloud applications. VM autoscaling
can reduce the under-/over-provisioning period of VMs with a precise estimation of VM …

Monitoring probe deployment patterns for cloud-native applications: Definition and empirical assessment

A Tundo, M Mobilio, O Riganelli… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Monitoring is a key feature to enhance systems with the capability to anticipate, detect,
predict, and mitigate failures, while providing Quality of Service (QoS) monitoring and …

A systematic survey on fault-tolerant solutions for distributed data analytics: Taxonomy, comparison, and future directions

S Isukapalli, SN Srirama - Computer Science Review, 2024 - Elsevier
Fault tolerance is becoming increasingly important for upcoming exascale systems,
supporting distributed data processing, due to the expected decrease in the Mean Time …

Focusing on what is relevant: Time-series learning and understanding using attention

P Vinayavekhin, S Chaudhury… - 2018 24th …, 2018 - ieeexplore.ieee.org
This paper is a contribution towards interpretability of the deep learning models in different
applications of time-series. We propose a temporal attention layer that is capable of …