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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 …
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 …
An improved Lévy based whale optimization algorithm for bandwidth-efficient virtual machine placement in cloud computing environment
M Abdel-Basset, L Abdle-Fatah, AK Sangaiah - Cluster Computing, 2019 - Springer
The consolidation of virtual machine (VM) is the strategy of efficient and intelligent use of
cloud datacenters resources. One of the important subproblems of VM consolidation is VM …
cloud datacenters resources. One of the important subproblems of VM consolidation is VM …
Modelling and simulation of security-aware task scheduling in cloud computing based on Blockchain technology
Although a lot of work has been done in the domain, tasks scheduling and resource
allocation in cloud computing remain the challenging problems for both industry and …
allocation in cloud computing remain the challenging problems for both industry and …
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 …
Energy-efficient parallel real-time scheduling on clustered multi-core
Energy-efficiency is a critical requirement for computation-intensive real-time applications on
multi-core embedded systems. Multi-core processors enable intra-task parallelism, and in …
multi-core embedded systems. Multi-core processors enable intra-task parallelism, and in …
Orchestrating real-time IoT workflows in a fog computing environment utilizing partial computations with end-to-end error propagation
With the explosive growth of the Internet of Things (IoT), fog computing emerged as a new
paradigm, in an attempt to minimize network latency. Fog computing extends the cloud to the …
paradigm, in an attempt to minimize network latency. Fog computing extends the cloud to the …
Energy management for multiple real-time workflows on cyber–physical cloud systems
Cyber–physical cloud systems (CPCS) are extensions of cyber–physical systems (CPS) that
expand the cyber-part and distribute it on-device and in-cloud. CPCS are considered large …
expand the cyber-part and distribute it on-device and in-cloud. CPCS are considered large …
A cost-effective and qos-aware approach to scheduling real-time workflow applications in paas and saas clouds
The ever increasing popularity of cloud computing has relieved many consumers and
businesses from the burden of acquiring, maintaining and monitoring expensive hardware …
businesses from the burden of acquiring, maintaining and monitoring expensive hardware …
Optimizing MapReduce task scheduling on virtualized heterogeneous environments using ant colony optimization
Consuming Hadoop MapReduce via virtual infrastructure as a service is becoming common
practice as cloud service providers (CSP) offers relevant applications and scalable …
practice as cloud service providers (CSP) offers relevant applications and scalable …
Energy-adaptive scheduling of imprecise computation tasks for QoS optimization in real-time MPSoC systems
The key issue of renewable generations such as solar and wind in energy harvesting system
is the uncertainty of energy availability. The characteristic of imprecise computation that …
is the uncertainty of energy availability. The characteristic of imprecise computation that …