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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 map** 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
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
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 …
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 …
[PDF][PDF] CCSA: Hybrid cuckoo crow search algorithm for task scheduling in cloud computing
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 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 …