A Dynamic Self-adaptive Resource-Load Evaluation Method in Cloud Computing
Journal Title: EAI Endorsed Transactions on Cloud Systems - Year 2015, Vol 1, Issue 2
Abstract
Cloud resource and its load have dynamic characteristics. To address this challenge, a dynamic self-adaptive evaluation method (termed SDWM) is proposed in this paper. SDWM uses some dynamic evaluation indicators to evaluate resource state more accurately. And it divides the resource load into three states -- Overload, Normal and Idle by the self-adaptive threshold. Then it migrates overload resources to balance load, and releases idle resources whose idle times exceed a threshold to save energy, which can effectively improve system utilization. Experimental results demonstrate SDWM has better adaptability than other similar methods when resources dynamically join or exit. This shows the positive effect of the dynamic self-adaptive threshold.
Authors and Affiliations
Liyun Zuo, Lei Shu, Shoubin Dong, Zhangbing Zhou, Lei Wang
Specification of REST API Services for Modbus Protocol using Formal technique
With the advancements in technologies, there has been a growing trend to move from desktop applications towards web and mobile applications. This move was made possible through introduction of the RESTful Web Services. T...
Future Factories – Automated Welding Cell based on Cloud Computing Technology
The advent of cloud technology, machine learning and internet of things (IoT) has foreseen the possibility of completely autonomous factories. Future shop-floor operations are completely automated and controlled by cloud...
A performance model of the Trusted Cloud Computing Platform VM Launch Protocol
The adoption of the cloud computing paradigm is associated with increasing security concerns. Cloud computing service models (SaaS, PaaS and IaaS) are exposed to different security threats in each level of services. The...
A Counterfeit Solution for Pharma Supply Chain
This paper provides a detailed overview of the blockchain technology and how it can be used to build a foolproof system in eliminating counterfeit products in pharmaceutical industries. Study by various reports indicate...
Using Cloud-assisted Body Area Networks to Track People Physical Activity in Mobility
This paper describes a novel BSN-based integrated system for detecting, monitoring, and securely recording human physical activities using wearable sensors, a personal mobile device, and a Cloud-computing infrastructure...