A review on quality of experience (QoE) in cloud computing
The services are delivered to the user through a protocol interface of different resources.
Service delivery conferring on quality of service (QoS) mentioned in service level agreement …
Service delivery conferring on quality of service (QoS) mentioned in service level agreement …
Multiple workflows scheduling in multi-tenant distributed systems: A taxonomy and future directions
Workflows are an application model that enables the automated execution of multiple
interdependent and interconnected tasks. They are widely used by the scientific community …
interdependent and interconnected tasks. They are widely used by the scientific community …
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 …
Performance evaluation of cloud-based log file analysis with Apache Hadoop and Apache Spark
I Mavridis, H Karatza - Journal of Systems and Software, 2017 - Elsevier
Log files are generated in many different formats by a plethora of devices and software. The
proper analysis of these files can lead to useful information about various aspects of each …
proper analysis of these files can lead to useful information about various aspects of each …
Combining containers and virtual machines to enhance isolation and extend functionality on cloud computing
I Mavridis, H Karatza - Future Generation Computer Systems, 2019 - Elsevier
Virtualization technology is the underlying element of cloud computing. Traditionally, cloud
computing has employed virtual machines to distribute available resources and provide …
computing has employed virtual machines to distribute available resources and provide …
Scheduling dynamic workloads in multi-tenant scientific workflow as a service platforms
MA Rodriguez, R Buyya - Future Generation Computer Systems, 2018 - Elsevier
With the advent of cloud computing and the availability of data collected from increasingly
powerful scientific instruments, workflows have become a prevailing mean to achieve …
powerful scientific instruments, workflows have become a prevailing mean to achieve …
Orchestrating real-time IoT workflows in a fog computing environment utilizing partial computations with end-to-end error propagation
GL Stavrinides, HD Karatza - Cluster Computing, 2021 - Springer
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 …
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 …
A learning automata-based scheduling for deadline sensitive task in the cloud
The evolution of cloud computing facilitates applications with varying demands to operate in
a virtualized environment. For instance, applications like the healthcare system, video …
a virtualized environment. For instance, applications like the healthcare system, video …
GMTA: A geo-aware multi-agent task allocation approach for scientific workflows in container-based cloud
Scientific workflow scheduling is one of the most challenging problems in cloud computing
because of the large-scale computing tasks and massive data volumes involved. A cloud …
because of the large-scale computing tasks and massive data volumes involved. A cloud …