Performance evaluation metrics for cloud, fog and edge computing: A review, taxonomy, benchmarks and standards for future research
Optimization is an inseparable part of Cloud computing, particularly with the emergence of
Fog and Edge paradigms. Not only these emerging paradigms demand reevaluating cloud …
Fog and Edge paradigms. Not only these emerging paradigms demand reevaluating cloud …
Data replication schemes in cloud computing: a survey
In recent years, cloud storage systems have emerged as a promising technology for storing
data blocks on various cloud servers. One of the main mechanisms in cloud storage systems …
data blocks on various cloud servers. One of the main mechanisms in cloud storage systems …
Efficient autonomic and elastic resource management techniques in cloud environment: taxonomy and analysis
MAN Saif, SK Niranjan, HDE Al-Ariki - Wireless Networks, 2021 - Springer
Resource management (RM) is a challenging task in a cloud computing environment where
a large number of virtualized, heterogeneous, and distributed resources are hosted in the …
a large number of virtualized, heterogeneous, and distributed resources are hosted in the …
AutoScaleSim: A simulation toolkit for auto-scaling Web applications in clouds
Auto-scaling of Web applications is an extensively investigated issue in cloud computing. To
evaluate auto-scaling mechanisms, the cloud community is facing considerable challenges …
evaluate auto-scaling mechanisms, the cloud community is facing considerable challenges …
A proactive fog service provisioning framework for Internet of Things applications: An autonomic approach
In recent years, Internet of Things (IoT) services have expanded to promote the quality of life
in different areas. Cloud connectivity services are so popular now that they have prompted …
in different areas. Cloud connectivity services are so popular now that they have prompted …
Workload aware autonomic resource management scheme using grey wolf optimization in cloud environment
Autonomic resource management on cloud is a challenging task because of its huge
heterogeneous and distributed environment. There are several service providers in the …
heterogeneous and distributed environment. There are several service providers in the …
[HTML][HTML] A learning automata based edge resource allocation approach for IoT-enabled smart cities
The development of the Internet of Things (IoT) technology is leading to a new era of smart
applications such as smart transportation, buildings, and smart homes. Moreover, these …
applications such as smart transportation, buildings, and smart homes. Moreover, these …
A multi-objective load balancing and power minimization in cloud using bio-inspired algorithms
In Recent days, cloud computing technology is used as a remote-based virtual computer
resource utilization to offer consumers quick and accurate massive data services. In the …
resource utilization to offer consumers quick and accurate massive data services. In the …
Fractional rider deep long short term memory network for workload prediction-based distributed resource allocation using spark in cloud gaming
The modern development in cloud technologies has turned the idea of cloud gaming into
sensible behaviour. The cloud gaming provides an interactive gaming application, which …
sensible behaviour. The cloud gaming provides an interactive gaming application, which …
Auto-scaling of web applications in clouds: A tail latency evaluation
Mechanisms for dynamically adding and removing Virtual Machines (VMs) to reduce cost
while minimizing the latency are called auto-scaling. Latency improvements are mainly …
while minimizing the latency are called auto-scaling. Latency improvements are mainly …