Big data storage technologies: a survey
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 …
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 …
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
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 …
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
The rapid growth of emerging applications and the evolution of cloud computing
technologies have significantly enhanced the capability to generate vast amounts of data …
technologies have significantly enhanced the capability to generate vast amounts of data …
Task-based system load balancing in cloud computing using particle swarm optimization
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 …
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 …
imitates the foraging behavior of honeybees. Due to its simple implementation with very …
Context-aware data and task placement in edge computing environments
Computationally intensive tasks of IoT applications can be offloaded to powerful devices in
the edge. Code offloading reduces energy consumption and increases performance …
the edge. Code offloading reduces energy consumption and increases performance …
A hybrid genetic algorithm for optimization of scheduling workflow applications in heterogeneous computing systems
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 …
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
Cloud computing provides substantial opportunities to researchers who demand pay-as-you-
go computing systems. Although cloud provider (eg, Amazon Web Services) and application …
go computing systems. Although cloud provider (eg, Amazon Web Services) and application …
Energy-efficient virtual machines scheduling in multi-tenant data centers
Despite the dramatic improvements achieved in building energy-efficient electronic devices,
the amount of electricity consumed worldwide to power the global information technology …
the amount of electricity consumed worldwide to power the global information technology …