An Optimized Algorithm for Task Scheduling Based on Activity Based Costing in Cloud Computing

Cao, Qi; Wei, Zhi-Bo; Gong, Wen-Mao

doi:10.1109/icbbe.2009.5162336

Cited by 80 publications

(32 citation statements)

References 2 publications

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“…Many researchers' works on this parameter. Many improved algorithm based on this problem are introduced by researchers such as ABC, PSO, Double Level Priority [1,2,5] etc. This paper completes the QoS-driven scheduling algorithm with considering cost parameter.…”

Section: Introductionmentioning

confidence: 99%

Cost performance of QoS Driven task scheduling in cloud computing

Bansal¹,

Maurya²,

Kumar³

et al. 2015

Procedia Computer Science

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Till now many parameters considered in QoS driven like makespan, latency and load balancing. But allocation cost parameter is not considered in QoS-driven scheduling algorithm. Minimizing the total allocation cost is an important issue in cloud computing. In this paper, the cost is calculated of QoS-driven task scheduling algorithm and compare with traditional task scheduling algorithm in cloud computing environment. The experimental results based on cloudsim3.0 toolkit with NetBeans IDE8.0 shows that QoS-driven achieves good performance in cost parameter.

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Section: Introductionmentioning

confidence: 99%

Cost performance of QoS Driven task scheduling in cloud computing

Bansal¹,

Maurya²,

Kumar³

et al. 2015

Procedia Computer Science

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“…The earliest research efforts often focused on minimizing Cloud consumer's costs while taking into account maximum allowed execution time [7] while later approaches considered holistic Service Level Agreement (SLA) enforcement [5]. Recently, research efforts have paid special attention to the infrastructure perspective, i.e., the adherence to consumer-defined SLAs under the objective of profit maximization [14] or high resource utilization [9,13,16].…”

Section: Related Workmentioning

confidence: 99%

Introducing the Vienna Platform for Elastic Processes

Schulte

Hoenisch

Venugopal

et al. 2013

Service-Oriented Computing

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Abstract. Resource-intensive tasks are playing an increasing role in business processes. The emergence of Cloud computing has enabled the deployment of such tasks onto resources sourced on-demand from Cloud providers. This has enabled so-called elastic processes that are able to dynamically adjust their resource usage to meet varying workloads.Traditional Business Process Management Systems (BPMSs) do not consider the needs of elastic processes such as monitoring facilities, tracking the current and future system landscape, reasoning about optimally utilizing resources given Quality of Service constraints, and executing necessary actions (e.g., start/stop servers, move services). This paper introduces ViePEP, a research BPMS capable of handling the aforementioned requirements of elastic processes.

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“…In this paper [7] authors offered a minimized method for scheduling based on the Activity Based Costing. This method allocates precedence level of jobs and costs drivers.…”

Section: Related Issuesmentioning

confidence: 99%