Load balancing in cloud computing–A hierarchical taxonomical classification
Load unbalancing problem is a multi-variant, multi-constraint problem that degrades
performance and efficiency of computing resources. Load balancing techniques cater the …
performance and efficiency of computing resources. Load balancing techniques cater the …
A survey on virtual machine migration: Challenges, techniques, and open issues
When users flood in cloud data centers, how to efficiently manage hardware resources and
virtual machines (VMs) in a data center to both lower economical cost and ensure a high …
virtual machines (VMs) in a data center to both lower economical cost and ensure a high …
Blockchain-based on-demand computing resource trading in IoV-assisted smart city
In a smart city, Mobile Edge Computing (MEC) are generally deployed in static fashion in
base stations (BSs). While moving vehicles with advanced on-board equipment can be …
base stations (BSs). While moving vehicles with advanced on-board equipment can be …
Energy efficient mobile cloud computing powered by wireless energy transfer
Achieving long battery lives or even self sustainability has been a long standing challenge
for designing mobile devices. This paper presents a novel solution that seamlessly …
for designing mobile devices. This paper presents a novel solution that seamlessly …
Hybrid method for minimizing service delay in edge cloud computing through VM migration and transmission power control
Due to physical limitations, mobile devices are restricted in memory, battery, processing,
among other characteristics. This results in many applications that cannot be run in such …
among other characteristics. This results in many applications that cannot be run in such …
A survey of parallel sequential pattern mining
W Gan, JCW Lin, P Fournier-Viger, HC Chao… - ACM Transactions on …, 2019 - dl.acm.org
With the growing popularity of shared resources, large volumes of complex data of different
types are collected automatically. Traditional data mining algorithms generally have …
types are collected automatically. Traditional data mining algorithms generally have …
Towards the decentralised cloud: Survey on approaches and challenges for mobile, ad hoc, and edge computing
Cloud computing emerged as a centralised paradigm that made “infinite” computing
resources available on demand. Nevertheless, the ever-increasing computing capacities …
resources available on demand. Nevertheless, the ever-increasing computing capacities …
Optimization of radio and computational resources for energy efficiency in latency-constrained application offloading
O Munoz, A Pascual-Iserte… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Providing femto access points (FAPs) with computational capabilities will allow (either total
or partial) off-loading of highly demanding applications from smartphones to the so-called …
or partial) off-loading of highly demanding applications from smartphones to the so-called …
A framework of fog computing: Architecture, challenges, and optimization
Y Liu, JE Fieldsend, G Min - IEEE Access, 2017 - ieeexplore.ieee.org
Fog computing (FC) is an emerging distributed computing platform aimed at bringing
computation close to its data sources, which can reduce the latency and cost of delivering …
computation close to its data sources, which can reduce the latency and cost of delivering …
Cloudlets activation scheme for scalable mobile edge computing with transmission power control and virtual machine migration
Mobile devices have several restrictions due to design choices that guarantee their mobility.
A way of surpassing such limitations is to utilize cloud servers called cloudlets on the edge …
A way of surpassing such limitations is to utilize cloud servers called cloudlets on the edge …