Task scheduling in cloud computing based on meta-heuristics: review, taxonomy, open challenges, and future trends
Cloud computing is a recently looming-evoked paradigm, the aim of which is to provide on-
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …
A manifesto for future generation cloud computing: Research directions for the next decade
The Cloud computing paradigm has revolutionised the computer science horizon during the
past decade and has enabled the emergence of computing as the fifth utility. It has captured …
past decade and has enabled the emergence of computing as the fifth utility. It has captured …
Machine and deep learning for resource allocation in multi-access edge computing: A survey
With the rapid development of Internet-of-Things (IoT) devices and mobile communication
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …
A comprehensive survey on coded distributed computing: Fundamentals, challenges, and networking applications
Distributed computing has become a common approach for large-scale computation tasks
due to benefits such as high reliability, scalability, computation speed, and cost …
due to benefits such as high reliability, scalability, computation speed, and cost …
Predictive performance modeling for distributed batch processing using black box monitoring and machine learning
In many domains, the previous decade was characterized by increasing data volumes and
growing complexity of data analyses, creating new demands for batch processing on …
growing complexity of data analyses, creating new demands for batch processing on …
Maintenance Operations on Cloud, Edge, and IoT Environments: Taxonomy, Survey, and Research Challenges
The emergence of the Internet of Things (IoT) introduced new classes of applications whose
latency and bandwidth requirements could not be satisfied by the traditional Cloud …
latency and bandwidth requirements could not be satisfied by the traditional Cloud …
Multiple mode SAR raw data simulation and parallel acceleration for Gaofen-3 mission
F Zhang, X Yao, H Tang, Q Yin, Y Hu… - IEEE Journal of Selected …, 2018 - ieeexplore.ieee.org
Gaofen-3 is China's first meter-level multipolarization synthetic aperture radar (SAR) satellite
with 12 imaging modes for the scientific and commercial applications. In order to evaluate …
with 12 imaging modes for the scientific and commercial applications. In order to evaluate …
MapReduce scheduling algorithms: a review
Recent trends in big data have shown that the amount of data continues to increase at an
exponential rate. This trend has inspired many researchers over the past few years to …
exponential rate. This trend has inspired many researchers over the past few years to …
A survey of coded distributed computing
Distributed computing has become a common approach for large-scale computation of tasks
due to benefits such as high reliability, scalability, computation speed, and costeffectiveness …
due to benefits such as high reliability, scalability, computation speed, and costeffectiveness …
Serverless Cloud Computing: State of the Art and Challenges
The serverless model represents a paradigm shift in the cloud: as opposed to traditional
cloud computing service models, serverless customers do not reserve hardware resources …
cloud computing service models, serverless customers do not reserve hardware resources …