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An energy-efficient, QoS-aware and cost-effective scheduling approach for real-time workflow applications in cloud computing systems utilizing DVFS and …
GL Stavrinides, HD Karatza - Future Generation Computer Systems, 2019 - Elsevier
Green cloud computing attracts significant attention from both academia and industry. One of
the major challenges involved, is to provide a high level of Quality of Service (QoS) in a cost …
the major challenges involved, is to provide a high level of Quality of Service (QoS) in a cost …
A hybrid approach to scheduling real-time IoT workflows in fog and cloud environments
In this paper, we propose a hybrid fog and cloud-aware heuristic for the dynamic scheduling
of multiple real-time Internet of Things (IoT) workflows in a three-tiered architecture. In …
of multiple real-time Internet of Things (IoT) workflows in a three-tiered architecture. In …
Failure-aware energy-efficient VM consolidation in cloud computing systems
VM consolidation is an important technique used in cloud computing systems to improve
energy efficiency. It migrates the running VMs from under utilized physical resources to other …
energy efficiency. It migrates the running VMs from under utilized physical resources to other …
Optimizing bag-of-tasks scheduling on cloud data centers using hybrid swarm-intelligence meta-heuristic
Usually, a large number of concurrent bag-of-tasks (BoTs) application execution requests
are submitted to cloud data centers (CDCs), which needs to be optimally scheduled on the …
are submitted to cloud data centers (CDCs), which needs to be optimally scheduled on the …
Scheduling data-intensive workloads in large-scale distributed systems: trends and challenges
With the explosive growth of big data, workloads tend to get more complex and
computationally demanding. Such applications are processed on distributed interconnected …
computationally demanding. Such applications are processed on distributed interconnected …
Multi-criteria HPC task scheduling on IaaS cloud infrastructures using meta-heuristics
A Chhabra, G Singh, KS Kahlon - Cluster Computing, 2021 - Springer
With the rapid increase in the use of cloud computing systems, an efficient task scheduling
policy, which deals with the assignment of tasks to resources, is required to obtain maximum …
policy, which deals with the assignment of tasks to resources, is required to obtain maximum …
Security, cost and energy aware scheduling of real-time IoT workflows in a mist computing environment
The rapid expansion of the Internet of Things (IoT) led to the emergence of new computing
paradigms, such as mist and fog computing, in order to tackle the problem of transferring …
paradigms, such as mist and fog computing, in order to tackle the problem of transferring …
Energy-aware scheduling of real-time workflow applications in clouds utilizing DVFS and approximate computations
As cloud services become more ubiquitous, green cloud computing attracts significant
attention from both academia and industry. Towards this direction, in this paper we propose …
attention from both academia and industry. Towards this direction, in this paper we propose …
Performance-aware energy-efficient parallel job scheduling in HPC grid using nature-inspired hybrid meta-heuristics
A Chhabra, G Singh, KS Kahlon - Journal of Ambient Intelligence and …, 2021 - Springer
Abstract High-Performance Computing (HPC) systems offer massive computation strength to
execute large-scale applications. However, the availability of thousands of CPU cores in the …
execute large-scale applications. However, the availability of thousands of CPU cores in the …
Scheduling real‐time bag‐of‐tasks applications with approximate computations in SaaS clouds
Summary Software as a Service (SaaS) cloud computing has emerged as an attractive
platform to tackle various problems of the traditional software distribution model, such as the …
platform to tackle various problems of the traditional software distribution model, such as the …