Big Data and cloud computing: innovation opportunities and challenges
Big Data has emerged in the past few years as a new paradigm providing abundant data
and opportunities to improve and/or enable research and decision-support applications with …
and opportunities to improve and/or enable research and decision-support applications with …
A multi-objective optimization scheduling method based on the ant colony algorithm in cloud computing
For task-scheduling problems in cloud computing, a multi-objective optimization method is
proposed here. First, with an aim toward the biodiversity of resources and tasks in cloud …
proposed here. First, with an aim toward the biodiversity of resources and tasks in cloud …
Quality of service (QoS) aware workflow scheduling (WFS) in cloud computing: A systematic review
Workflow scheduling concerns the mapping of complex tasks to cloud resources by taking
into account various Quality of Service requirements. In virtue of continuous proliferation in …
into account various Quality of Service requirements. In virtue of continuous proliferation in …
Adaptive job shop scheduling strategy based on weighted Q-learning algorithm
YF Wang - Journal of Intelligent Manufacturing, 2020 - Springer
Given the dynamic and uncertain production environment of job shops, a scheduling
strategy with adaptive features must be developed to fit variational production factors …
strategy with adaptive features must be developed to fit variational production factors …
A slave ants based ant colony optimization algorithm for task scheduling in cloud computing environments
Since cloud computing provides computing resources on a pay per use basis, a task
scheduling algorithm directly affects the cost for users. In this paper, we propose a novel …
scheduling algorithm directly affects the cost for users. In this paper, we propose a novel …
Energy-aware scheduling of embarrassingly parallel jobs and resource allocation in cloud
L Shi, Z Zhang, T Robertazzi - IEEE Transactions on Parallel …, 2016 - ieeexplore.ieee.org
In cloud computing, with full control of the underlying infrastructures, cloud providers can
flexibly place user jobs on suitable physical servers and dynamically allocate computing …
flexibly place user jobs on suitable physical servers and dynamically allocate computing …
Asymptotic scheduling for many task computing in big data platforms
A Sfrent, F Pop - Information Sciences, 2015 - Elsevier
Due to the advancement of technology the datasets that are being processed nowadays in
modern computer clusters extend beyond the petabyte scale–the 4 detectors of the Large …
modern computer clusters extend beyond the petabyte scale–the 4 detectors of the Large …
[PDF][PDF] CCSA: Hybrid cuckoo crow search algorithm for task scheduling in cloud computing
P Krishnadoss, N Pradeep, J Ali… - … Journal of Intelligent …, 2021 - researchgate.net
Services are delivered promptly and efficiently managed over the Internet using cloud
computing. Data and storage services are offered to users through cloud computing without …
computing. Data and storage services are offered to users through cloud computing without …
A multiqueue interlacing peak scheduling method based on tasks' classification in cloud computing
In cloud computing, resources are dynamic, and the demands placed on the resources
allocated to a particular task are diverse. These factors could lead to load imbalances, which …
allocated to a particular task are diverse. These factors could lead to load imbalances, which …
A dynamic and failure-aware task scheduling framework for hadoop
Hadoop has become a popular framework for processing data-intensive applications in
cloud environments. A core constituent of Hadoop is the scheduler, which is responsible for …
cloud environments. A core constituent of Hadoop is the scheduler, which is responsible for …