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QoS-Based Pricing and Scheduling of Batch Jobs in OpenStack Clouds [article]

Thomas Sandholm, Julie Ward, Filippo Balestrieri, Bernardo A. Huberman
2015 arXiv   pre-print
This selling model places the burden upon customers to predict their job resource requirements and durations.  ...  Our experiments show that the QoS-based solution yields up to 40% improvement over the revenue of more standard selling mechanisms based on a fixed per-node price across various demand and supply conditions  ...  Spot-market models 4 are one exception in the space of resource-based selling mechanisms.  ... 
arXiv:1504.07283v1 fatcat:rfdtqqos2jgf7gy5ye7rhgg4jm

An Efficient Scheduling Strategy in Mobile Cloud: Model and Algorithm

Chunlin Li
2015 Information Technology and Control  
Mobiles enter cloud computing domain by trying to access the shared pool of computing resources provided by the cloud on demand.  ...  In the simulations, our proposed mobile cloud multistage scheduling algorithms are compared with two related works.  ...  Acknowledgements The authors thank the editors and the anonymous reviewers for their helpful comments and suggestions.  ... 
doi:10.5755/j01.itc.44.1.5319 fatcat:5o2xfc5ywbhy5atb3ccw4kjfem

Maximizing business value by optimal assignment of jobs to resources in grid computing

Subodha Kumar, Kaushik Dutta, Vijay Mookerjee
2009 European Journal of Operational Research  
We also present several managerial implications and compare the performance of two widely used models in the real-time scheduling of grid computing.  ...  An important problem that arises in the area of grid computing is one of optimally assigning jobs to resources to achieve a business objective.  ...  Based on our discussion in Section 1 and Fig. 1 , we consider two parameters associated with the job owners: deadline and budget, and two parameters associated with the resource owners: price and availability  ... 
doi:10.1016/j.ejor.2007.12.024 fatcat:jrovvwr44vhfnnybkh6em73gmq

Modeling and solution methods for hybrid flow shop scheduling problem with job rejection

Mohamadreza Dabiri, Mehdi Yazdani, Bahman Naderi, Hassan Haleh
2021 Operational Research  
efficiency of the solutions based on the schedule.  ...  As well as, in this paper, the problem is viewed from a bi-objective problem perspective, so that the tardiness costs of the scheduled jobs and rejection costs of rejected jobs as two objectives are minimized  ...  Based on a typical MSR model, manufacturers should synchronously make the collective decisions of job rejection and detailed job scheduling.  ... 
doi:10.1007/s12351-021-00629-2 fatcat:33sxe5n7znhtxls3fnttt7dg5a

Requirement Prioritization and Scheduling in Software Release Planning Using Hybrid Enriched Genetic Revamped Integer Linear Programming Model

Sandhia Valsala, Anil R. Nair
2016 Research Journal of Applied Sciences Engineering and Technology  
So we have to perform requirement prioritization and scheduling as one model that can minimize the project duration.  ...  So the paper consolidates both the processes of software release, prioritization and scheduling, called as Hybrid EGRILP model in order to maximize the revenue and to minimize the project duration.  ...  This model not only maximizes the revenue, but also promises an on time project schedule and project delivery.  ... 
doi:10.19026/rjaset.12.2342 fatcat:fnkppbtlnrgktee3som6lvkpr4

An integrated approach for requirement selection and scheduling in software release planning

Chen Li, Marjan van den Akker, Sjaak Brinkkemper, Guido Diepen
2010 Requirements Engineering  
Our second model combines requirement selection and scheduling, so that it not only maximizes revenues but also simultaneously calculates an on-time-delivery project schedule.  ...  Given the resource and precedence constraints, our first model provides a schedule for developing the requirements such that the project duration is minimized.  ...  In Sect. 3.3, we show a combined selection and scheduling model that can not only maximize the revenue based on the precedence and resource constraints, but also provides a schedule for ontime delivery  ... 
doi:10.1007/s00766-010-0104-x fatcat:gue44cuchjcwffkgibrkw3jhh4

Adaptive Scheduling on Power-Aware Managed Data-Centers Using Machine Learning

Josep Ll. Berral, Ricard Gavalda, Jordi Torres
2011 2011 IEEE/ACM 12th International Conference on Grid Computing  
Energy-related costs have become one of the major economic factors in IT data-centers, and companies and the research community are currently working on new efficient poweraware resource management strategies  ...  Here we propose a framework for autonomic scheduling of tasks and web-services on cloud environments, optimizing the profit taking into account revenue for task execution minus penalties for service-level  ...  This work has been supported by the Ministry of Science and Technology of Spain under contract TIN2008-06582-C03-01.  ... 
doi:10.1109/grid.2011.18 dblp:conf/grid/BerralGT11 fatcat:mwb4opxhaveythjaae7vg4l3ve

An ant colony optimization approach for solving an operating room surgery scheduling problem

Wei Xiang, Jiao Yin, Gino Lim
2015 Computers & industrial engineering  
(ACO) approach to efficiently solve such surgery scheduling problems based on the knowledge gained in FJSSP.  ...  By observing similarities between operating room surgery scheduling and a multi-resource constraint flexible job shop scheduling problem (FJSSP) in manufacturing, this article proposes an Ant Colony Optimization  ...  Pham and Klinkert (2008) proposed a job-shop scheduling model and emphasized the resources needed in the pre-operative, perioperative and post-operative stage among the operation process.  ... 
doi:10.1016/j.cie.2015.04.010 fatcat:5u2zh72s2jdchoui4p2ylyqnr4

NEW ISSUES OF ATP SYSTEMS IN A SUPPLY CHAIN (Literature Review)

Tanti Octavia
2004 Jurnal Teknik Industri  
Advanced ATP systems are implemented in practice depends on the company's strategy.  ...  However, The performance measures of ATP system become very important and more complex in order to measure the efficiency and effectiveness of ATP system in a supply chain.  ...  the rest given one or more promised due date. (3) Dell two stage order promising.  ... 
doaj:8a2cacd9a7294952a2b637aa671f01eb fatcat:g5eu7wgt7nfhnid65vck7kfgne

Using Revenue Management to Determine Pricing of Reservations

Anthony Sulistio, Kyong Hoon Kim, Rajkumar Buyya
2007 Third IEEE International Conference on e-Science and Grid Computing (e-Science 2007)  
increase of total revenue for that resource.  ...  Grid economy provides a mechanism or incentive for resource owners to be part of the Grid, and encourages users to utilize resources optimally and effectively.  ...  Acknowledgment This work is partially supported by research grants from the Australian Research Council (ARC) and Australian Department of Education, Science and Training (DEST).  ... 
doi:10.1109/e-science.2007.83 dblp:conf/eScience/SulistioKB07 fatcat:zafme4swdfar3ghbb2otxn54wy

Stochastic Integer Programming by Dynamic Programming [chapter]

B. J. Lageweg, J. K. Lenstra, A. R. Kan, L. Stougie
1988 Springer Series in Computational Mathematics  
Dynamic programming techniques can be used to exploit the structure of two-stage scheduling, bin packing and multi.knapsack problems.  ...  In continuation of our work on the. design and analysis of heuristics for such problems, we now try to find optimal solutions.  ...  The following three sections illustrate our approach on two-stage scheduling, bin packing, and multiknapsack problems.  ... 
doi:10.1007/978-3-642-61370-8_21 fatcat:zfmwjqpblvahhmlz2dkiypdvge

A Two-stage Framework for the Multi-user Multi-data center Job Scheduling and Resource Allocation

Jianpeng Lin, Delong Cui, Zhiping Peng, Qirui Li, Jieguang He
2020 IEEE Access  
Delong Cui and Zhiping Peng are corresponding authors.  ...  We devise a two-stage cloud job scheduling and resource allocation framework with multiple intelligent schedulers to complete scheduling tasks in different stages.  ...  Section 3 introducess the key stages and components of the system framework and defines the job scheduling and resource allocation models.  ... 
doi:10.1109/access.2020.3033557 fatcat:mnirwjrxpjghpaemhf5kkxatoe

Service and Utility Oriented Distributed Computing Systems: Challenges and Opportunities for Modeling and Simulation Communities

Rajkumar Buyya
2008 Annual Simulation Symposium : Proceedings  
We present various case studies on the use of GridSim in modeling and simulation of Business Grids, parallel applications scheduling, workflow scheduling, and service pricing and revenue management.  ...  This introduces a number of resource management and application scheduling challenges in the domain of security, resource and policy heterogeneity, fault tolerance, dynamic resource conditions..  ...  This work is partially supported by the Australian Research Council and the Department of Innovation, Industry, Science and Research under Discovery Project and International Science Linkage Program grants  ... 
doi:10.1109/anss-41.2008.36 dblp:conf/anss/Buyya08 fatcat:47setzgxojhrvh7j2dz4m2rhqu

Service and Utility Oriented Distributed Computing Systems: Challenges and Opportunities for Modeling and Simulation Communities

Rajkumar Buyya, Anthony Sulistio
2008 Annual Simulation Symposium : Proceedings  
We present various case studies on the use of GridSim in modeling and simulation of Business Grids, parallel applications scheduling, workflow scheduling, and service pricing and revenue management.  ...  This introduces a number of resource management and application scheduling challenges in the domain of security, resource and policy heterogeneity, fault tolerance, dynamic resource conditions..  ...  This work is partially supported by the Australian Research Council and the Department of Innovation, Industry, Science and Research under Discovery Project and International Science Linkage Program grants  ... 
doi:10.1109/anss-41.2008.35 dblp:conf/anss/BuyyaS08 fatcat:in4d7ifnx5d6bcku3cl7q6p3cm

PRODUCTION ENGINEERING

2009 Journal of the American Society of Naval Engineers  
Conventional methods of solving scheduling problems based on priority rules still result schedules, sometimes, with significant idle times.  ...  Consequently, comparison based on Gupta's heuristics, RA heuristic's, Palmer's heuristics, CDS heuristics are proposed in this work.  ...  Tang and Gong [23] developed a hybrid two-stage transportation and batch scheduling problem They study the coordinated scheduling problem of hybrid batch production on a single batching machine and two-stage  ... 
doi:10.1111/j.1559-3584.1941.tb01541.x fatcat:hbqs6xeppbgtznarcju5vxjzei
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