{"id":9,"date":"2020-08-12T19:52:59","date_gmt":"2020-08-12T18:52:59","guid":{"rendered":"https:\/\/blogs.ncl.ac.uk\/recomp\/?page_id=9"},"modified":"2020-08-14T17:09:08","modified_gmt":"2020-08-14T16:09:08","slug":"your-data-wont-stay-smart-forever","status":"publish","type":"page","link":"https:\/\/blogs.ncl.ac.uk\/recomp\/","title":{"rendered":"Your data won&#8217;t stay smart forever!"},"content":{"rendered":"\n<p><strong>ReComp is about&nbsp;<em>preserving value&nbsp;from large scale data analytics over time&nbsp;<\/em><em>through selective re-computation<\/em><\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Data analytics is expensive to perform on a large scale<\/li><li>It yields value, for example in the form of predictive models that provide actionable knowledge to decision makers<\/li><li>However, such value is liable to decay with time, following changes \nin both the underlying data used in their processing, and the evolution \nof the processes themselves.<\/li><\/ul>\n\n\n\n<p>Deciding when such knowledge outcomes should be refreshed, following a\n sequence of data change events, requires problem-specific functions to <em>quantify their value<\/em> and its decay over time, as well as models for estimating the cost of their re-computation.<\/p>\n\n\n\n<p>We envision a decision support system, which we call ReComp, that \nincorporates these functions and can use them to make informed \nre-computation decisions in reaction to any of these changes.<\/p>\n\n\n\n<p>ReComp takes the form of a <em>meta-process<\/em> that control an underlying resource-intensive process, P:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/web.archive.org\/web\/20180810200155im_\/http:\/\/recomp.org.uk\/wp-content\/uploads\/2016\/05\/ReComp-loop.png\" alt=\"ReComp-loop\" class=\"wp-image-238\" \/><figcaption>The ReComp meta-process<\/figcaption><\/figure>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"><p>ReComp aims to help decision makers react to changes in \ndata, by allocating a&nbsp;re-computation budget (cloud resources, time, \nmoney) in a way that optimises the use of the budget vis a vis the <em>expected increase in the value<\/em> of the outcomes chosen for&nbsp;refresh.<\/p><\/blockquote>\n\n\n\n<p>What makes ReComp challenging to realise is the ambition to make it both generic and customisable.<\/p>\n\n\n\n<p>We are going to validate our approach on two very different case studies:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Genetic diagnostics through NGS data processing<\/li><li>Newcastle\u2019s Urban Observatory: predictive models from smart city \ndata obtained from multiple, diverse sensors, specifically to study the \nUrban Heat Island effect in large cities<\/li><\/ul>\n\n\n\n<p>Read more: \u00a0[<a href=\"\/recomp\/forwards-and-backwards-recomp\/\">Forwards and Backwards ReComp<\/a>] \u00a0[<a href=\"\/recomp\/the-recomp-vision\/\">The ReComp vision<\/a>]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>ReComp is about&nbsp;preserving value&nbsp;from large scale data analytics over time&nbsp;through selective re-computation Data analytics is expensive to perform on a large scale It yields value, for example in the form of predictive models that provide actionable knowledge to decision makers However, such value is liable to decay with time, following changes in both the underlying [&hellip;]<\/p>\n","protected":false},"author":3062,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-9","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/blogs.ncl.ac.uk\/recomp\/wp-json\/wp\/v2\/pages\/9","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.ncl.ac.uk\/recomp\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blogs.ncl.ac.uk\/recomp\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.ncl.ac.uk\/recomp\/wp-json\/wp\/v2\/users\/3062"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.ncl.ac.uk\/recomp\/wp-json\/wp\/v2\/comments?post=9"}],"version-history":[{"count":4,"href":"https:\/\/blogs.ncl.ac.uk\/recomp\/wp-json\/wp\/v2\/pages\/9\/revisions"}],"predecessor-version":[{"id":79,"href":"https:\/\/blogs.ncl.ac.uk\/recomp\/wp-json\/wp\/v2\/pages\/9\/revisions\/79"}],"wp:attachment":[{"href":"https:\/\/blogs.ncl.ac.uk\/recomp\/wp-json\/wp\/v2\/media?parent=9"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}