{"id":11942,"date":"2023-07-05T16:45:12","date_gmt":"2023-07-05T14:45:12","guid":{"rendered":"https:\/\/new.sano.science\/?post_type=people&p=11942"},"modified":"2024-10-01T11:56:24","modified_gmt":"2024-10-01T09:56:24","slug":"bartosz-balis","status":"publish","type":"people","link":"https:\/\/sano.science\/people\/bartosz-balis\/","title":{"rendered":"Bartosz Bali\u015b"},"excerpt":{"rendered":"

Senior PostDoc in Extreme-scale Data and Computing<\/p>\n","protected":false},"featured_media":18633,"template":"","people_teams":[19,34],"class_list":["post-11942","people","type-people","status-publish","has-post-thumbnail","hentry","people_teams-research","people_teams-extreme-scale-data-and-computing"],"yoast_head":"\nBartosz Bali\u015b - Centre for Computational Personalized Medicine<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sano.science\/people\/bartosz-balis\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Bartosz Bali\u015b\" \/>\n<meta property=\"og:description\" content=\"Senior PostDoc in Extreme-scale Data and Computing\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sano.science\/people\/bartosz-balis\/\" \/>\n<meta property=\"og:site_name\" content=\"Centre for Computational Personalized Medicine\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/sano.science\/\" \/>\n<meta property=\"article:modified_time\" content=\"2024-10-01T09:56:24+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/07\/Sano-bartosz_balis.png\" \/>\n\t<meta property=\"og:image:width\" content=\"550\" \/>\n\t<meta property=\"og:image:height\" content=\"550\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@sanoscience\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sano.science\\\/people\\\/bartosz-balis\\\/\",\"url\":\"https:\\\/\\\/sano.science\\\/people\\\/bartosz-balis\\\/\",\"name\":\"Bartosz Bali\u015b - 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He is also a member of the CERN ALICE experiment. A graduate of AGH and Jagiellonian University, he obtained his PhD and DSc (habilitation) in Computer Science from the AGH University. A co-author of over 60 international peer-reviewed scientific publications, including papers in high-ranked journals. His research interests include scientific workflows, data science, e-Science, cloud computing, and distributed computing. Dr Balis has been a member of conference program and organizing committees, including Euro-Par 2020 workshops (General Co-chair), HPCS 2018-19 (Tutorials Co-Chair), IEEE\/ACM SC18 Birds of a Feather Planning Committee, IEEE\/ACM SC16 Workshops Planning Committee. He has participated in national and EU-FP5\/FP6\/FP7\/H2020 research projects CrossGrid, CoreGRID, K-Wf Grid, ViroLab, Gredia, UrbanFlood, PaaSage and WATERLINE.<\/p>\n","email":"","social_media":false,"tabs":false,"quote":"","position_with_team":{"text_before_link":"Senior Postdoctoral in","link_text":"Extreme-scale Data and Computing","text_after_link":"","link":"https:\/\/sano.science\/research-teams\/extreme-scale-data-and-computing\/"},"publications":[{"ID":14844,"post_author":"5","post_date":"2024-01-10 20:31:01","post_date_gmt":"2024-01-10 19:31:01","post_content":"<!-- wp:heading {\"epAnimationGeneratedClass\":\"edplus_anim-bsCTNu\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<h2 class=\"wp-block-heading eplus-wrapper\">M. Malawski, B.\u00a0Balis<\/h2>\n<!-- \/wp:heading -->\n\n<!-- wp:spacer {\"height\":\"50px\",\"epAnimationGeneratedClass\":\"edplus_anim-evaUrQ\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-zdhfJu\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\">Serverless computing has become an important model in cloud computing and influenced the design of many applications. Here, we provide our perspective on how the recent landscape of serverless computing for scientific applications looks like. We discuss the advantages and problems with serverless computing for scientific applications, and based on the analysis of existing solutions and approaches, we propose a science-oriented architecture for a serverless computing framework that is based on the existing designs. Finally, we provide an outlook of current trends and future directions.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:spacer {\"height\":\"50px\",\"epAnimationGeneratedClass\":\"edplus_anim-evaUrQ\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:acf\/button {\"id\":\"block_659ef063da8b0\",\"name\":\"acf\/button\",\"data\":{\"title\":\"READ HERE\",\"_title\":\"field_61d40397c2f0a\",\"button_type\":\"link\",\"_button_type\":\"field_63bbde3b8f0d0\",\"url\":\"https:\/\/arxiv.org\/abs\/2309.01681\",\"_url\":\"field_61d4039bc2f0b\",\"button_style\":\"primary\",\"_button_style\":\"field_63872d045d0f0\",\"target\":\"_blank\",\"_target\":\"field_63872c705d0ef\",\"button_extra_classes\":\"\",\"_button_extra_classes\":\"field_642beab6a97de\"},\"align\":\"\",\"mode\":\"edit\"} \/-->","post_title":"Serverless Computing for Scientific Applications","post_excerpt":"In: Internet Computing, IEEE, 2022.","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"serverless-computing-for-scientific-applications","to_ping":"","pinged":"","post_modified":"2024-01-10 20:31:02","post_modified_gmt":"2024-01-10 19:31:02","post_content_filtered":"","post_parent":0,"guid":"https:\/\/sano.science\/?post_type=research&p=14844","menu_order":52,"post_type":"research","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":14955,"post_author":"5","post_date":"2024-01-16 13:47:56","post_date_gmt":"2024-01-16 12:47:56","post_content":"<!-- wp:heading {\"epAnimationGeneratedClass\":\"edplus_anim-4PIds4\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<h2 class=\"wp-block-heading eplus-wrapper\">Bartosz Bali\u015b, Albert Ku\u017ama, \u0141ukasz Wro\u0144ski<\/h2>\n<!-- \/wp:heading -->\n\n<!-- wp:spacer {\"height\":\"50px\",\"epAnimationGeneratedClass\":\"edplus_anim-QbxtCC\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:acf\/button {\"id\":\"block_65a67ab680a4a\",\"name\":\"acf\/button\",\"data\":{\"title\":\"\",\"_title\":\"field_61d40397c2f0a\",\"button_type\":\"link\",\"_button_type\":\"field_63bbde3b8f0d0\",\"url\":\"\",\"_url\":\"field_61d4039bc2f0b\",\"button_style\":\"primary\",\"_button_style\":\"field_63872d045d0f0\",\"target\":\"_self\",\"_target\":\"field_63872c705d0ef\",\"button_extra_classes\":\"\",\"_button_extra_classes\":\"field_642beab6a97de\"},\"align\":\"\",\"mode\":\"edit\"} \/-->","post_title":"Towards Observability in Scientific Computing","post_excerpt":"In: KUKDM 2023, 2023.","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"towards-observability-in-scientific-computing","to_ping":"","pinged":"","post_modified":"2024-01-16 13:47:56","post_modified_gmt":"2024-01-16 12:47:56","post_content_filtered":"","post_parent":0,"guid":"https:\/\/sano.science\/?post_type=research&p=14955","menu_order":25,"post_type":"research","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":15027,"post_author":"5","post_date":"2024-01-18 10:14:41","post_date_gmt":"2024-01-18 09:14:41","post_content":"<!-- wp:heading {\"epAnimationGeneratedClass\":\"edplus_anim-tZiczW\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<h2 class=\"wp-block-heading eplus-wrapper\">Joanna Kosinska, Bartosz Balis, Marek Konieczny, Maciej Malawski, Slawomir Zielinski<\/h2>\n<!-- \/wp:heading -->\n\n<!-- wp:spacer {\"height\":\"50px\",\"epAnimationGeneratedClass\":\"edplus_anim-uoj5d3\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-RVPXjT\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\">The Cloud-native model, established to enhance the Twelve-Factor patterns, is an approach to developing and deploying applications according to DevOps concepts, Continuous Integration\/Continuous Delivery, containers, and microservices. The notion of observability can help us cope with the complexity of such applications. We present a Systematic Mapping Study (SMS) in the observability of Cloud-native applications. We have chosen 56 studies published between 2018 and 2022. The selected studies were thoroughly analyzed, compared, and classified according to the chosen comparative criteria. The presented SMS assesses engineering approaches, maturity, and efficiency of observability by deliberating around four research questions: 1) What provides the motivations for equipping Cloud-native applications with observability capabilities? 2) Which research areas are addressed in the related literature? 3) How are observability approaches implemented? 4) What are the future trends in the Cloud-native applications observability research?<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:spacer {\"height\":\"50px\",\"epAnimationGeneratedClass\":\"edplus_anim-uoj5d3\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:acf\/button {\"id\":\"block_65a8ebe746c9f\",\"name\":\"acf\/button\",\"data\":{\"title\":\"READ HERE\",\"_title\":\"field_61d40397c2f0a\",\"button_type\":\"link\",\"_button_type\":\"field_63bbde3b8f0d0\",\"url\":\"https:\/\/ieeexplore.ieee.org\/document\/10141603\",\"_url\":\"field_61d4039bc2f0b\",\"button_style\":\"primary\",\"_button_style\":\"field_63872d045d0f0\",\"target\":\"_blank\",\"_target\":\"field_63872c705d0ef\",\"button_extra_classes\":\"\",\"_button_extra_classes\":\"field_642beab6a97de\"},\"align\":\"\",\"mode\":\"edit\"} \/-->","post_title":"Toward the Observability of Cloud-Native Applications: The Overview of the State-of-the-Art","post_excerpt":"In: IEEE Access, 2023.","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"toward-the-observability-of-cloud-native-applications-the-overview-of-the-state-of-the-art","to_ping":"","pinged":"","post_modified":"2024-01-18 10:14:41","post_modified_gmt":"2024-01-18 09:14:41","post_content_filtered":"","post_parent":0,"guid":"https:\/\/sano.science\/?post_type=research&p=15027","menu_order":22,"post_type":"research","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":12571,"post_author":"5","post_date":"2023-07-12 15:23:30","post_date_gmt":"2023-07-12 13:23:30","post_content":"<!-- wp:heading {\"epAnimationGeneratedClass\":\"edplus_anim-rBLpf0\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<h2 class=\"wp-block-heading eplus-wrapper\">Malawski, Maciej; Gajek, Adam; Zima, Adam; Balis, Bartosz; Figiela, Kamil<\/h2>\n<!-- \/wp:heading -->\n\n<!-- wp:spacer {\"height\":\"50px\",\"epAnimationGeneratedClass\":\"edplus_anim-2jtdDr\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-AIUAip\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\">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.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:spacer {\"height\":\"50px\",\"epAnimationGeneratedClass\":\"edplus_anim-fcLpYe\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:acf\/button {\"id\":\"block_64aea9358a913\",\"name\":\"acf\/button\",\"data\":{\"title\":\"READ HERE\",\"_title\":\"field_61d40397c2f0a\",\"button_type\":\"link\",\"_button_type\":\"field_63bbde3b8f0d0\",\"url\":\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0167739X1730047X?via%3Dihub\",\"_url\":\"field_61d4039bc2f0b\",\"button_style\":\"primary\",\"_button_style\":\"field_63872d045d0f0\",\"target\":\"_blank\",\"_target\":\"field_63872c705d0ef\",\"button_extra_classes\":\"\",\"_button_extra_classes\":\"field_642beab6a97de\"},\"align\":\"\",\"mode\":\"edit\"} \/-->","post_title":"Serverless execution of scientific workflows: Experiments with HyperFlow, AWS Lambda and Google Cloud Functions\u00a0","post_excerpt":"In: Future Generation Computer Systems, vol. 110, pp. 502\u2013514, 2020, ISSN: 0167739X.","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"serverless-execution-of-scientific-workflows-experiments-with-hyperflow-aws-lambda-and-google-cloud-functions","to_ping":"","pinged":"","post_modified":"2024-01-05 13:59:40","post_modified_gmt":"2024-01-05 12:59:40","post_content_filtered":"","post_parent":0,"guid":"https:\/\/new.sano.science\/?post_type=research&p=12571","menu_order":94,"post_type":"research","post_mime_type":"","comment_count":"0","filter":"raw"}]},"_links":{"self":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/people\/11942","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/people"}],"about":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/types\/people"}],"version-history":[{"count":8,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/people\/11942\/revisions"}],"predecessor-version":[{"id":19035,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/people\/11942\/revisions\/19035"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media\/18633"}],"wp:attachment":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media?parent=11942"}],"wp:term":[{"taxonomy":"people_teams","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/people_teams?post=11942"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}