A systematic survey on energy-efficient techniques in sustainable cloud computing
Global warming is one of the most compelling environmental threats today, as the rise in
energy consumption and CO2 emission caused a dreadful impact on our environment. The …
energy consumption and CO2 emission caused a dreadful impact on our environment. The …
Efficient middleware for the portability of paas services consuming applications among heterogeneous clouds
Cloud providers create a vendor-locked-in environment by offering proprietary and non-
standard APIs, resulting in a lack of interoperability and portability among clouds. To …
standard APIs, resulting in a lack of interoperability and portability among clouds. To …
Optimization of load balancing and task scheduling in cloud computing environments using artificial neural networks-based binary particle swarm optimization (BPSO)
MI Alghamdi - Sustainability, 2022 - mdpi.com
As more people utilize the cloud, more employment opportunities become available. With
constraints such as a limited make-span, a high utilization rate of available resources …
constraints such as a limited make-span, a high utilization rate of available resources …
A novel optimization for gpu mining using overclocking and undervolting
Cryptography and associated technologies have existed for a long time. This field is
advancing at a remarkable speed. Since the inception of its initial application, blockchain …
advancing at a remarkable speed. Since the inception of its initial application, blockchain …
A security policy protocol for detection and prevention of internet control message protocol attacks in software defined networks
Owing to the latest advancements in networking devices and functionalities, there is a need
to build future intelligent networks that provide intellectualization, activation, and …
to build future intelligent networks that provide intellectualization, activation, and …
Energy-efficient polyglot persistence database live migration among heterogeneous clouds
Cloud computing is seen as a more promising technology than any other traditional
information technology computing paradigm in today's world. It essentially functions as an …
information technology computing paradigm in today's world. It essentially functions as an …
A machine learning-based framework for the prediction of cervical cancer risk in women
One of the most common types of cancer in women is cervical cancer, a disease which is the
most prevalent in poor nations, with one woman dying from it every two minutes. It has a …
most prevalent in poor nations, with one woman dying from it every two minutes. It has a …
Early forest fire detection using a protocol for energy-efficient clustering with weighted-based optimization in wireless sensor networks
Wireless sensor networks (WSNs) have proven to be incredibly useful for forest applications
that rely on sensing technologies for event detection and monitoring. This radical sensing …
that rely on sensing technologies for event detection and monitoring. This radical sensing …
A hybrid multi-cloud framework using the ibbe key management system for securing data storage
Information storage and access in multi-cloud environments have become quite prevalent. In
this paper, a multi-cloud framework is presented that secures users' data. The primary goal …
this paper, a multi-cloud framework is presented that secures users' data. The primary goal …
A systematic survey on fault-tolerant solutions for distributed data analytics: Taxonomy, comparison, and future directions
S Isukapalli, SN Srirama - Computer Science Review, 2024 - Elsevier
Fault tolerance is becoming increasingly important for upcoming exascale systems,
supporting distributed data processing, due to the expected decrease in the Mean Time …
supporting distributed data processing, due to the expected decrease in the Mean Time …