Cost Optimization for Scheduling Scientific Workflows on Clouds under Deadline Constraints

2017 ◽  
Author(s):  
Wei Zheng ◽  
Bugingo Emmanuel ◽  
Chen Wang ◽  
Yingsheng Qin ◽  
Dongzhan Zhang
Keyword(s):  
Cost Optimization ◽  
Scientific Workflows ◽  
Deadline Constraints

scholarly journals Scheduling Multilevel Deadline-Constrained Scientific Workflows on Clouds Based on Cost Optimization

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Maciej Malawski ◽  
Kamil Figiela ◽  
Marian Bubak ◽  
Ewa Deelman ◽  
Jarek Nabrzyski
Keyword(s):  
Programming Languages ◽  
Cost Optimization ◽  
Workflow Management ◽  
Resource Planning ◽  
General Purpose ◽  
Scientific Workflows ◽  
Workflow Execution ◽  
Amazon Ec2 ◽  
Deadline Constraints ◽  
The Cost

This paper presents a cost optimization model for scheduling scientific workflows on IaaS clouds such as Amazon EC2 or RackSpace. We assume multiple IaaS clouds with heterogeneous virtual machine instances, with limited number of instances per cloud and hourly billing. Input and output data are stored on a cloud object store such as Amazon S3. Applications are scientific workflows modeled as DAGs as in the Pegasus Workflow Management System. We assume that tasks in the workflows are grouped into levels of identical tasks. Our model is specified using mathematical programming languages (AMPL and CMPL) and allows us to minimize the cost of workflow execution under deadline constraints. We present results obtained using our model and the benchmark workflows representing real scientific applications in a variety of domains. The data used for evaluation come from the synthetic workflows and from general purpose cloud benchmarks, as well as from the data measured in our own experiments with Montage, an astronomical application, executed on Amazon EC2 cloud. We indicate how this model can be used for scenarios that require resource planning for scientific workflows and their ensembles.

Basel III: In quest for criteria and scenarios of the banking regulation reform advancement

2016 ◽  
pp. 77-93 ◽  
Author(s):  
E. Dzhagityan
Keyword(s):  
Financial Regulation ◽  
Cost Optimization ◽  
Spillover Effect ◽  
Regulatory Reform ◽  
Banking Regulation ◽  
Capital Adequacy ◽  
Basel Iii ◽  
Eurasian Economic Union ◽  
Downward Pressure ◽  
Crisis Recovery

The article looks into the spillover effect of the sweeping overhaul of financial regulation, also known as Basel III, for credit institutions. We found that new standards of capital adequacy will inevitably put downward pressure on ROE that in turn will further diminish post-crisis recovery of the banking industry. Under these circumstances, resilience of systemically important banks could be maintained through cost optimization, repricing, and return to homogeneity of their operating models, while application of macroprudential regulation by embedding it into new regulatory paradigm would minimize the effect of risk multiplication at micro level. Based on the research we develop recommendations for financial regulatory reform in Russia and for shaping integrated banking regulation in the Eurasian Economic Union (EAEU).

Cost Optimization in Manufacturing of toys using Linear Programming

2011 ◽  
Vol 3 (2) ◽  
pp. 118-120
Author(s):  
Salma Shaheen ◽  
◽  
Tazyeen Ahmad
Keyword(s):  
Linear Programming ◽  
Cost Optimization
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