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Federated cloud resource management: Review and discussion
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 …
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 …
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
Systems enabling the continuous processing of large data streams have recently attracted
the attention of the scientific community and industrial stakeholders. Data Stream Processing …
the attention of the scientific community and industrial stakeholders. Data Stream Processing …
Distributed QoS-aware scheduling in Storm
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 …
We extend Storm to make it suitable to operate in a geographically distributed and highly …
Delivering elastic containerized cloud applications to enable DevOps
Following recent technological advancements in software systems, like microservices,
containers and cloud systems, DevOps has risen as a new development paradigm. Its aim is …
containers and cloud systems, DevOps has risen as a new development paradigm. Its aim is …
[PDF][PDF] Cloud monitoring system: basics, phases and challenges
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 …
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
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 …
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
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 …
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 …
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 …
applications of time-series. We propose a temporal attention layer that is capable of …