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A Periodic Portfolio Scheduler for Scientific Computing in the Data Center [chapter]

Kefeng Deng, Ruben Verboon, Kaijun Ren, Alexandru Iosup
2014 Lecture Notes in Computer Science  
We design a periodic portfolio scheduler for the workload of the entire data center, and equip it with a portfolio of resource provisioning and allocation policies.  ...  The popularity of data centers in scientific computing has led to new architectures, new workload structures, and growing customerbases.  ...  We have designed in this work a periodic portfolio scheduler for the entire data center.  ... 
doi:10.1007/978-3-662-43779-7_9 fatcat:qretxsvayfes3h52p7tjznzeue

Exploring portfolio scheduling for long-term execution of scientific workloads in IaaS clouds

Kefeng Deng, Junqiang Song, Kaijun Ren, Alexandru Iosup
2013 Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis on - SC '13  
Portfolio scheduling, which selects dynamically a suitable policy from a broad portfolio, may provide a solution to this problem.  ...  Based on the model, we present a comprehensive portfolio scheduler that includes tens of provisioning and allocation policies.  ...  Acknowledgment The authors would like to thank all the reviewers for their comments and positive feedbacks on our paper.  ... 
doi:10.1145/2503210.2503244 dblp:conf/sc/DengSRI13 fatcat:e62326twwzf5hcs44lw7vecmsy

Self-Expressive Management of Business-Critical Workloads in Virtualized Datacenters

Vincent van Beek, Jesse Donkervliet, Tim Hegeman, Stefan Hugtenburg, Alexandru Iosup
2015 Computer  
WORKLOAD CHARACTERISTICS Business-critical workloads differ significantly from scientific and analytic workloads in the level of customer data sensitivity.  ...  Self-awareness in computer systems is the ability to alter behavior in some beneficial way, without human intervention, 4 while self-expressiveness is the notion that a system knows its own state, context  ...  Data center users embed their applications in VMs, either as a single VM or VM cluster (vCluster).  ... 
doi:10.1109/mc.2015.206 fatcat:2byzbcnwyzas3bn4kuv2qc2b6q

Self-awareness of Cloud Applications [chapter]

Alex Iosup, Xiaoyun Zhu, Arif Merchant, Eva Kalyvianaki, Martina Maggio, Simon Spinner, Tarek Abdelzaher, Ole Mengshoel, Sara Bouchenak
2017 Self-Aware Computing Systems  
A much shorter, revised version of this material will be available in print, as part of a Springer book on "Self-Aware Computing". The book is due to appear in 2017.  ...  In this chapter, we propose a conceptual framework for analyzing state-of-the-art self-awareness approaches used in the context of cloud applications.  ...  ) for the projects "Cloud Control" and "Power and temperature control for large-scale computing infrastructures", and through the LCCC Linnaeus and ELLIIT Excellence Centers.  ... 
doi:10.1007/978-3-319-47474-8_20 fatcat:ckcxfmjmvvas5bhg7wp5qfmehy

Coordination of the information society infrastructure in governmental and regional relations

Przemysław Sekuła, Marcin Baron
2014 Biblioteka Regionalisty  
Infrastructure can either be of a network nature (computer networks, internet) or personal interfaces (computers, mobile devices).  ...  The projects must be completed in a specific order for the program to be considered complete" [Wysocki 2009 ]. The portfolio could be perceived as a collection of projects too.  ... 
doi:10.15611/br.2014.1.07 fatcat:ghqtjpvnxnhthaeb3vxsmiwhla

Improved Cloud resource allocation: how INDIGO-DataCloud is overcoming the current limitations in Cloud schedulers

Alvaro Lopez Garcia, Lisa Zangrando, Massimo Sgaravatto, Vincent Llorens, Sara Vallero, Valentina Zaccolo, Stefano Bagnasco, Sonia Taneja, Stefano Dal Pra, Davide Salomoni, Giacinto Donvito
2017 Journal of Physics, Conference Series  
desirable situation in scientific data centers.  ...  Local Resource Management Systems (LRMS) have been used in data centers for decades in order to obtain the best usage of the resources, providing their fair usage and partitioning for the users.  ...  Acknowledgments The authors want to acknowledge the support of the INDIGO-DataCloud (grant number 653549) project, funded by the European Commission's Horizon 2020 Framework Programme.  ... 
doi:10.1088/1742-6596/898/9/092010 fatcat:d7kuxwfqajcjdpwkdflzasyjta

Competence-driven project portfolio selection, scheduling and staff assignment

Walter J. Gutjahr, Stefan Katzensteiner, Peter Reiter, Christian Stummer, Michaela Denk
2009 Central European Journal of Operations Research  
The paper outlines experimental results on a real-world application provided by the E-Commerce Competence Center Austria and, for a slightly simplified instance, presents comparisons with the exact solution  ...  We provide a nonlinear mixed-integer program formulation for the overall problem, and then propose heuristic solution techniques composed of (i) a greedy heuristic for the scheduling and staff assignment  ...  -We are indebted to Karl Fröschl for valuable ideas and fruitful discussions by which he contributed to this work already in an early stage.  ... 
doi:10.1007/s10100-008-0081-z fatcat:mc2ibi37szbxvefnxux644qq6i

A Survey on Financial Applications of Metaheuristics

Amparo Soler-Dominguez, Angel A. Juan, Renatas Kizys
2017 ACM Computing Surveys  
A non-exhaustive list of examples includes rich portfolio optimization, index tracking, enhanced indexation, credit risk, stock investments, financial project scheduling, option pricing, feature selection  ...  The paper also discusses some open opportunities for researchers in the field, and forecast the evolution of metaheuristics to include real-life uncertainty conditions into the optimization problems being  ...  for the first period within a short computational time.  ... 
doi:10.1145/3054133 fatcat:hr4fggpodnbzjdk3fkg6thxjma

Portfolio-driven Resource Management for Transient Cloud Servers

Prateek Sharma, David Irwin, Prashant Shenoy
2017 Proceedings of the ACM on Measurement and Analysis of Computing Systems  
While the low cost of transient servers makes them attractive for a wide range of applications, such as data processing and scientific computing, failures due to server revocation can severely degrade  ...  We implement model-driven portfolios in a system called ExoSphere, and show how diverse applications can use portfolios and application-specific policies to gracefully handle transient servers.  ...  We thank our shepherd Giuliano Casale and all the reviewers for their insightful comments that helped us improve the paper.  ... 
doi:10.1145/3084442 dblp:journals/pomacs/SharmaIS17 fatcat:e4tjqcnzlbc7fabb7rrc4xy56u

Grid-wide subdaily hydrologic alteration under massive wind power penetration in Chile

J. Haas, M.A. Olivares, R. Palma-Behnke
2015 Journal of Environmental Management  
This suggests a need for further ecological studies in those rivers, along with an analysis of operational constraints to limit the SDHA.  ...  Grid operations under selected wind power portfolios are simulated using a short-term hydro-thermal coordination tool.  ...  Acknowledgments The authors wish to thank Chile's National Commission for Scientific and Technological Research for supporting this research via the grant CONICYT/Fondecyt/11110326, CONICYT/FONDAP/ 15110019  ... 
doi:10.1016/j.jenvman.2015.02.017 pmid:25728917 fatcat:ve2iboy26ranvpcziwplq5yr2u

Competence-driven project portfolio selection, scheduling and staff assignment

Walter J. Gutjahr, Stefan Katzensteiner, Peter Reiter, Christian Stummer, Michaela Denk
2008 Central European Journal of Operations Research  
We provide a nonlinear mixed-integer program formulation for the overall problem, and then propose heuristic solution techniques composed of (i) a greedy heuristic for the scheduling and staff assignment  ...  This paper presents a new model for project portfolio selection, paying specific attention to competence development.  ...  -We are indebted to Karl Fröschl for valuable ideas and fruitful discussions by which he contributed to this work already in an early stage.  ... 
doi:10.1007/s10100-008-0057-z fatcat:lzn7bqjjzrhzxmapvdb72sdnyu

The Future of NSF Advanced Computing Infrastructure Revisited

Steven Gottlieb
2016 Computing in science & engineering (Print)  
and (c) carefully evaluating inclusion of facilities and services optimized for data-intensive computing in its portfolio of advanced computing services.  ...  general purpose to be more datacapable in both hardware and software and (b) expanding the portfolio of facilities and services optimized for data-intensive as well as numerically-intensive computing,  ... 
doi:10.1109/mcse.2016.85 fatcat:gfbst5r4ffcwnel25yrmghlsim

Renewable and cooling aware workload management for sustainable data centers

Zhenhua Liu, Yuan Chen, Cullen Bash, Adam Wierman, Daniel Gmach, Zhikui Wang, Manish Marwah, Chris Hyser
2012 Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE joint international conference on Measurement and Modeling of Computer Systems - SIGMETRICS '12  
Recently, the demand for data center computing has surged, increasing the total energy footprint of data centers worldwide.  ...  This work presents a novel approach to model the energy flows in a data center and optimize its operation.  ...  We also thank the anonymous reviewers and our shepherd, Christopher Stewart, for their valuable comments and help.  ... 
doi:10.1145/2254756.2254779 dblp:conf/sigmetrics/LiuCBWGWMH12 fatcat:iflzbe72v5cwfi5bmyekszgtju

Efficiency aware scheduling techniques in cloud computing: a descriptive literature review

Muhammad Usman Sana, Zhanli Li
2021 PeerJ Computer Science  
Cloud computing takes along terrific opportunities to run cost-effective scientific workflows without the requirement of possessing any set-up for customers.  ...  Resource scheduling plays a fundamental role in the well-organized allocation of resources to every task in the cloud environment.  ...  The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.  ... 
doi:10.7717/peerj-cs.509 pmid:34013035 pmcid:PMC8114819 fatcat:yyyc7wmpmrabreu6ji7bqhs5by

Boosting Sequential Solver Portfolios: Knowledge Sharing and Accuracy Prediction [chapter]

Yuri Malitsky, Ashish Sabharwal, Horst Samulowitz, Meinolf Sellmann
2013 Lecture Notes in Computer Science  
-or a schedule of solvers -for the given instance.  ...  Most of the state-of-the-art sequential algorithm portfolios are based on two main components: (a) a schedule of "short running" solvers to be run first in sequence for some small amount of time (usual  ...  This is followed by a long running solver, scheduled for time T − t, based on the features of F computed at runtime.  ... 
doi:10.1007/978-3-642-44973-4_17 fatcat:tpvrnivs3ncmrkmozsfounubha
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