Big data storage technologies: a survey

A Siddiqa, A Karim, A Gani - Frontiers of Information Technology & …, 2017 - Springer
There is a great thrust in industry toward the development of more feasible and viable tools
for storing fast-growing volume, velocity, and diversity of data, termed 'big data'. The …

Computing with the collective intelligence of honey bees–a survey

A Rajasekhar, N Lynn, S Das, PN Suganthan - Swarm and Evolutionary …, 2017 - Elsevier
Over past few decades, families of algorithms based on the intelligent group behaviors of
social creatures like ants, birds, fishes, and bacteria have been extensively studied and …

A survey towards an integration of big data analytics to big insights for value-creation

MK Saggi, S Jain - Information Processing & Management, 2018 - Elsevier
Abstract Big Data Analytics (BDA) is increasingly becoming a trending practice that
generates an enormous amount of data and provides a new opportunity that is helpful in …

A survey of big data management: Taxonomy and state-of-the-art

A Siddiqa, IAT Hashem, I Yaqoob, M Marjani… - Journal of Network and …, 2016 - Elsevier
The rapid growth of emerging applications and the evolution of cloud computing
technologies have significantly enhanced the capability to generate vast amounts of data …

Task-based system load balancing in cloud computing using particle swarm optimization

F Ramezani, J Lu, FK Hussain - International journal of parallel …, 2014 - Springer
Live virtual machine (VM) migration is a technique for achieving system load balancing in a
cloud environment by transferring an active VM from one physical host to another. This …

Artificial bee colony algorithm with memory

X Li, G Yang - Applied Soft Computing, 2016 - Elsevier
Artificial bee colony algorithm (ABC) is a new type of swarm intelligence methods which
imitates the foraging behavior of honeybees. Due to its simple implementation with very …

Context-aware data and task placement in edge computing environments

M Breitbach, D Schäfer, J Edinger… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Computationally intensive tasks of IoT applications can be offloaded to powerful devices in
the edge. Code offloading reduces energy consumption and increases performance …

A hybrid genetic algorithm for optimization of scheduling workflow applications in heterogeneous computing systems

SG Ahmad, CS Liew, EU Munir, TF Ang… - Journal of Parallel and …, 2016 - Elsevier
Workflow scheduling is a key component behind the process for an optimal workflow
enactment. It is a well-known NP-hard problem and is more challenging in the …

A balanced scheduler with data reuse and replication for scientific workflows in cloud computing systems

I Casas, J Taheri, R Ranjan, L Wang… - Future Generation …, 2017 - Elsevier
Cloud computing provides substantial opportunities to researchers who demand pay-as-you-
go computing systems. Although cloud provider (eg, Amazon Web Services) and application …

Energy-efficient virtual machines scheduling in multi-tenant data centers

X Dai, JM Wang, B Bensaou - IEEE Transactions on Cloud …, 2015 - ieeexplore.ieee.org
Despite the dramatic improvements achieved in building energy-efficient electronic devices,
the amount of electricity consumed worldwide to power the global information technology …