@article{nokey,

title = {Current Trends in Software Engineering Bachelor Theses},

author = {Jacek Dajda and Micha\l Idzik and Jakub Sroka and Miko\laj Sikora Wiktor Paw\lowski and Maciej Smo lka and Przemys\law Jab\lecki and Filip \'{S}lazyk and Maciej Malawski and Emilia Majerz and Aleksandra Pasternak and Witold Dzwinel

},

url = {https://doi.org/10.31577/cai_2021_4_930

},

doi = {https://doi.org/10.31577/cai_2021_4_930},

year  = {2021},

date = {2021-12-14},

journal = {Computing and Informatics},

abstract = {This article presents short analysis and observations on current trends and directions in conducting engineering theses in the field of computer science. This report is based on collected bachelor theses in AGH Computer Science Department for academic year 2020/2021 as well as the conducted competition for the best engineering theses held during XXII KKIO 2021 Software Engineering Conference. The awarded works are briefly presented as an illustration to the drawn conclusions.



},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Bubak2021,

title = {The EurValve model execution environment},

author = {M Bubak and K Czechowicz and T Guba\la and D R Hose and M Kasztelnik and M Malawski and J Meizner and P Nowakowski and S Wood},

url = {https://royalsocietypublishing.org/doi/10.1098/rsfs.2020.0006},

doi = {10.1098/rsfs.2020.0006},

issn = {2042-8898},

year  = {2021},

date = {2021-02-01},

urldate = {2021-02-01},

journal = {Interface Focus},

volume = {11},

number = {1},

pages = {20200006},

abstract = {The goal of this paper is to present a dedicated high-performance computing (HPC) infrastructure which is used in the development of a so-called reduced-order model (ROM) for simulating the outcomes of interventional procedures which are contemplated in the treatment of valvular heart conditions. Following a brief introduction to the problem, the paper presents the design of a model execution environment, in which representative cases can be simulated and the parameters of the ROM fine-tuned to enable subsequent deployment of a decision support system without further need for HPC. The presentation of the system is followed by information concerning its use in processing specific patient cases in the context of the EurValve international collaboration.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Malawski2017,

title = {Serverless execution of scientific workflows: Experiments with HyperFlow, AWS Lambda and Google Cloud Functions},

author = {Maciej Malawski and Adam Gajek and Adam Zima and Bartosz Balis and Kamil Figiela},

url = {http://linkinghub.elsevier.com/retrieve/pii/S0167739X1730047X https://linkinghub.elsevier.com/retrieve/pii/S0167739X1730047X},

doi = {10.1016/j.future.2017.10.029},

issn = {0167739X},

year  = {2020},

date = {2020-09-01},

urldate = {2020-09-01},

journal = {Future Generation Computer Systems},

volume = {110},

pages = {502--514},

abstract = {Scientific workflows consisting of a high number of interdependent tasks represent an important class of complex scientific applications. Recently, a new type of serverless infrastructures has emerged, represented by such services as Google Cloud Functions and AWS Lambda, also referred to as the Function-as-a-Service model. In this paper we take a look at such serverless infrastructures, which are designed mainly for processing background tasks of Web and Internet of Things applications, or event-driven stream processing. We evaluate their applicability to more compute- and data-intensive scientific workflows and discuss possible ways to repurpose serverless architectures for execution of scientific workflows. We have developed prototype workflow executor functions using AWS Lambda and Google Cloud Functions, coupled with the HyperFlow workflow engine. These functions can run workflow tasks in AWS and Google infrastructures, and feature such capabilities as data staging to/from S3 or Google Cloud Storage and execution of custom application binaries. We have successfully deployed and executed the Montage astronomy workflow, often used as a benchmark, and we report on initial results of its performance evaluation. Our findings indicate that the simple mode of operation makes this approach easy to use, although there are costs involved in preparing portable application binaries for execution in a remote environment.While our solution is an early prototype, we find the presented approach highly promising. We also discuss possible future steps related to execution of scientific workflows in serverless infrastructures. Finally, we perform a cost analysis and discuss implications with regard to resource management for scientific applications in general.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Nowakowski2018,

title = {Cloud computing infrastructure for the VPH community},

author = {Piotr Nowakowski and Marian Bubak and Tomasz Barty\'{n}ski and Tomasz Guba\la and Daniel Harce\.{z}lak and Marek Kasztelnik and Maciej Malawski and Jan Meizner},

doi = {10.1016/j.jocs.2017.06.012},

issn = {18777503},

year  = {2018},

date = {2018-01-01},

urldate = {2018-01-01},

journal = {Journal of Computational Science},

volume = {24},

pages = {169--179},

publisher = {Elsevier B.V.},

abstract = {As virtualization technologies mature and become ever more widespread, cloud computing has emerged as a promising paradigm for e-science. In order to facilitate successful application of cloud computing in scientific research \textendash particularly in a domain as security-minded as medical research \textendash several technical challenges need to be addressed. This paper reports on the successful deployment and utilization of a cloud computing platform for the Virtual Physiological Human (VPH) research community, originating in the VPH-Share project and continuing beyond the end of this project. The platform tackles technical issues involved in porting existing desktop applications to the cloud environment and constitutes a uniform research space where application services can be developed, stored, accessed and shared using a variety of computational infrastructures. The paper also presents examples of application workflows which make use of the presented infrastructure \textendash both internal and external to the VPH community.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Malawski2015,

title = {Algorithms for cost-and deadline-constrained provisioning for scientific workflow ensembles in IaaS clouds},

author = {Maciej Malawski and Gideon Juve and Ewa Deelman and Jarek Nabrzyski},

url = {https://linkinghub.elsevier.com/retrieve/pii/S0167739X15000059},

doi = {10.1016/j.future.2015.01.004},

issn = {0167739X},

year  = {2015},

date = {2015-07-01},

urldate = {2015-07-01},

journal = {Future Generation Computer Systems},

volume = {48},

pages = {1--18},

abstract = {Large-scale applications expressed as scientific workflows are often grouped into ensembles of inter-related workflows. In this paper, we address a new and important problem concerning the efficient management of such ensembles under budget and deadline constraints on Infrastructure as a Service (IaaS) clouds. IaaS clouds are characterized by on-demand resource provisioning capabilities and a pay-per-use model. We discuss, develop, and assess novel algorithms based on static and dynamic strategies for both task scheduling and resource provisioning. We perform the evaluation via simulation using a set of scientific workflow ensembles with a broad range of budget and deadline parameters, taking into account task granularity, uncertainties in task runtime estimations, provisioning delays, and failures. We find that the key factor determining the performance of an algorithm is its ability to decide which workflows in an ensemble to admit or reject for execution. Our results show that an admission procedure based on workflow structure and estimates of task runtimes can significantly improve the quality of solutions.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{cost-fgcs13,

title = {Cost minimization for computational applications on hybrid cloud infrastructures},

author = {Maciej Malawski and 

 Kamil Figiela and 

 Jarek Nabrzyski},

url = {http://dx.doi.org/10.1016/j.future.2013.01.004},

doi = {10.1016/j.future.2013.01.004},

year  = {2013},

date = {2013-01-01},

urldate = {2013-01-01},

journal = {Future Generation Comp. Syst.},

volume = {29},

number = {7},

pages = {1786--1794},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{goi-fgcs-10,

title = {Invocation of operations from script-based Grid applications},

author = {Maciej Malawski and Tomasz Barty\'{n}ski and Marian Bubak},

url = {http://www.icsr.agh.edu.pl/~malawski/goi-fgcs-2010.pdf},

doi = {10.1016/j.future.2009.05.012},

issn = {0167-739X},

year  = {2010},

date = {2010-01-01},

urldate = {2010-01-01},

journal = {Future Gener. Comput. Syst.},

volume = {26},

number = {1},

pages = {138--146},

publisher = {Elsevier Science Publishers B. V.},

address = {Amsterdam, The Netherlands, The Netherlands},

keywords = {},

pubstate = {published},

tppubtype = {article}

}