Adaptive scheduling for parallel tasks with QoS satisfaction for hybrid cloud environments

Wang, Wei-Jen; Chang, Yue-Shan; Lo, Win-Tsung; Lee, Yi-Kang

doi:10.1007/s11227-013-0890-2

Cited by 104 publications

(50 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We compare our optimal scheduling algorithm across public and private clouds (OSAPP) with adaptive scheduling with QoS satisfaction algorithm for hybrid cloud (AsQ) proposed by Wang et al (2013) and hybrid cloud optimized cost scheduling algorithm (HCOC) proposed by Bittencourt and Madeira (2011). We compare the difference between our approach OSAPP with ASQ and HCOC from three aspects: the viewpoint of communication scheme, economic mechanism and the system optimization goal.…”

Section: Methodsmentioning

confidence: 99%

“…They describe a general security framework for analyzing MapReduce computations in the hybrid cloud which captures how dataflow can leak information through execution. In (Wang et al 2013), Wei-JenWang et al propose the Adaptive Scheduling with QoS Satisfaction algorithm, namely AsQ, for the hybrid cloud environment to raise the resource utilization rate of the private cloud and to diminish task response time as much as possible. In (Bittencourt and Madeira 2011), Bittencourt L F et al present the Hybrid Cloud Optimized Cost scheduling algorithm (HCOC).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimal scheduling across public and private clouds in complex hybrid cloud environment

2015

Inf Syst Front

View full text Add to dashboard Cite

The hybrid cloud extends the private cloud model by using both local and remote resources. The private cloud will rely on the resources leased from public cloud providers for the execution of private cloud applications. The paper presents optimal scheduling across public and private clouds in complex hybrid cloud environment. The contributions of this paper have three aspects. 1) The proposed hybrid cloud scheduling policy considers the benefits of private cloud applications and public cloud provider, it can adapt to the changes in the system to find the scheduling optimization. The scheduling optimization is decomposed and conducted across the private cloud and public cloud. 2) Secondly, The paper describes negotiations in hybrid cloud marketplace and gives an example to explain how these rules are resolved by the cloud marketplace. 3) Thirdly, the paper proposes an optimal scheduling algorithm across public and private clouds. The paper also describes negotiations in hybrid cloud marketplace and gives an example to explain how these rules are resolved by the cloud marketplace. In the simulations, the profit of public cloud provider and resource utilization of the proposed algorithm are better than other related works.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal scheduling across public and private clouds in complex hybrid cloud environment

2015

Inf Syst Front

View full text Add to dashboard Cite

show abstract

“…Similar work is done in [17,18,19] where scheduling is done in order to reduce execution time and arrival time. Authors in [20] proposed a Dynamic task scheduling scheme DGS which allocates computing tasks to the virtual machines using greedy strategy and the scheme results in reduction in the completion time and improvement in the resource utilization.…”

Section: Related Workmentioning

confidence: 99%

Optimization of Task Scheduling Algorithm through QoS Parameters for Cloud Computing

Monika¹,

Jindal²

2016

MATEC Web of Conferences

View full text Add to dashboard Cite

Abstract. Cloud computing is an incipient innovation which broadly spreads among analysts. It furnishes clients with foundation, stage and programming as enhancement which is easily available by means of web. A cloud is a sort of parallel and conveyed framework comprising of a gathering of virtualized PCs that are utilized to execute various tasks to accomplish good execution time, accomplish due date and usage of its assets. The scheduling issue can be seen as the finding an ideal task of assignments over the accessible arrangement of assets with the goal that we can accomplish the wanted objectives for tasks. This paper presents an optimal algorithm for scheduling tasks to get their waiting time as a QoS parameter. The algorithm is simulated using Cloudsim simulator and experiments are carried out to help clients to make sense of the bottleneck of utilizing no. of virtual machine parallely.

show abstract

“…The results show the correlation between latency and throughput, and between latency and jitter, even though the results are not completely consistent. In [16], the authors proposed an Adaptive-Scheduling-with-QoS-Satisfaction algorithm for the hybrid cloud environment to raise the resource utilization rate of the private cloud and to diminish task response time as much as possible. In [17], the authors suggested that fault tolerance and QoS scheduling using CAN (Content Addressable Network) in Mobile Social Cloud Computing (MSCC).…”

Section: Related Workmentioning

confidence: 99%

A Resource Reservation based Framework for QoS-aware Resource Provision in Cloud Computing

He¹

2016

IJGDC

View full text Add to dashboard Cite

show abstract

Adaptive scheduling for parallel tasks with QoS satisfaction for hybrid cloud environments

Cited by 104 publications

References 23 publications

Optimal scheduling across public and private clouds in complex hybrid cloud environment

Optimal scheduling across public and private clouds in complex hybrid cloud environment

Optimization of Task Scheduling Algorithm through QoS Parameters for Cloud Computing

A Resource Reservation based Framework for QoS-aware Resource Provision in Cloud Computing

Contact Info

Product

Resources

About