Bio-inspired algorithms for cloud computing: a review

B Balusamy, J Sridhar… - International …, 2015 - inderscienceonline.com
Cloud computing provides internet-based services to access different kind of service or
resources, eliminating the need for centralised data access. There are several challenges …

A study of big data processing constraints on a low-power Hadoop cluster

C Kaewkasi, W Srisuruk - 2014 International Computer Science …, 2014 - ieeexplore.ieee.org
Big Data processing with Hadoop has been emerging recently, both on the computing cloud
and enterprise deployment. However, wide-spread security exploits may hurt the reputation …

Evaluating ARM HPC clusters for scientific workloads

J Maqbool, S Oh, GC Fox - Concurrency and Computation …, 2015 - Wiley Online Library
The power consumption of modern high‐performance computing (HPC) systems that are
built using power hungry commodity servers is one of the major hurdles for achieving …

[PDF][PDF] Adaptive time-based coordinated checkpointing for cloud computing workfl ows

B Meroufel, G Belalem - Scalable Computing: Practice and Experience, 2014 - scpe.org
Cloud computing is a new benchmark towards enterprise application development that can
facilitate the execution of workflows in business process management system. The workflow …

Profiling energy consumption in distributed simulations

A Biswas, R Fujimoto - Proceedings of the 2016 ACM SIGSIM …, 2016 - dl.acm.org
An energy profile indicates the amount of energy consumed by different parts of a parallel or
distributed simulation program. Creating energy profiles is not straightforward because high …

[PDF][PDF] Multi objective parameters for real time scheduling in cloud computing

S Gupta, KK Sharma, S Dalal - 2014 - cloud.report
Cloud computing has been portrayed as synonym for distributed computing. It is a type of
computing which relies on sharing computing resources on pay per usage basis. Therefore …

Smart scene management for IoT-based constrained devices using checkpointing

F Aïssaoui, G Cooperman, T Monteil… - 2016 IEEE 15th …, 2016 - ieeexplore.ieee.org
Typical devices of the Internet of Things are usually under-powered, and have limited RAM.
This is due to energy and cost concerns. Yet, IoT applications require increasingly complex …

NPi-cluster: a low power energy-proportional computing cluster architecture

SE Alves Filho, AMF Burlamaqui, RV Aroca… - IEEE …, 2017 - ieeexplore.ieee.org
This paper presents the NPi-Cluster, an energy proportional computing cluster that
automatically powers ON or OFF the number of running machines according to the actual …

Performance and energy evaluation of spark applications on low-power SoCs

I Stamelos, D Soudris, C Kachris - … International Conference on …, 2016 - ieeexplore.ieee.org
Microservers have recently gained attention as low-cost, low power, reduced footprint
servers that are mainly based on energy efficient processors such as the ones used in …

Chord: Checkpoint-based scheduling using hybrid waiting list in shared clusters

Y Shao, W Bao, X Zhu, W Xiao, J Wang - Journal of Systems and Software, 2017 - Elsevier
Cloud platforms supported by shared clusters are getting increasingly effective. Numerous
tasks are submitted into clusters by a variety of users. Cloud platforms usually assign tasks …