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The compute nodes with a small local memory are connected to disaggregated memory pools through memory-semantic interconnects, such as CXL, that support high-bandwidth and low-latency memory access. A primary concern with these systems is high remote memory latency due to the presence of a network interconnect between CPU and memory. A hot page migration is generally deployed in a hybrid memory system to improve the locality of memory access. In this article, we identify the major challenges in the present OS-based or hardware-based techniques for page migration in disaggregated memory. To this end, we propose\n            <jats:italic>CosMoS<\/jats:italic>\n            , an architectural solution for\n            <jats:italic>Cos<\/jats:italic>\n            t-effective data\n            <jats:italic>Mo<\/jats:italic>\n            vement in a\n            <jats:italic>S<\/jats:italic>\n            calable disaggregated memory system that can predict, schedule, and optimize the movement of hot pages between local and remote memory. Our mechanism also eliminates long delays on the critical demand memory accesses to other remote pages that are obstructed during hot page movement. We evaluate\n            <jats:italic>CosMoS<\/jats:italic>\n            over many data-centric workloads. Our results show a 20% performance improvement with\n            <jats:italic>CosMoS<\/jats:italic>\n            compared to the state-of-the-art mechanism and an 86% improvement compared to the baseline for a large-scale disaggregated memory system.\n          <\/jats:p>","DOI":"10.1145\/3725218","type":"journal-article","created":{"date-parts":[[2025,3,19]],"date-time":"2025-03-19T17:07:34Z","timestamp":1742404054000},"page":"1-22","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["CosMoS: Architectural Support for Cost-Effective Data Movement in a Disaggregated Memory Systems"],"prefix":"10.1145","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4840-4368","authenticated-orcid":false,"given":"Amit","family":"Puri","sequence":"first","affiliation":[{"name":"CSE, Indian Institute of Technology Guwahati, Guwahati, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0314-8778","authenticated-orcid":false,"given":"John","family":"Jose","sequence":"additional","affiliation":[{"name":"CSE, Indian Institute of Technology Guwahati, Guwahati, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2156-6885","authenticated-orcid":false,"given":"Venkatesh","family":"Tamarapalli","sequence":"additional","affiliation":[{"name":"CSE, Indian Institute of Technology Guwahati, Guwahati, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,4,29]]},"reference":[{"key":"e_1_3_1_2_2","first-page":"5","volume-title":"Proceedings of the Data Management on New Hardware (DaMoN \u201922)","author":"Ahn Minseon","year":"2022","unstructured":"Minseon Ahn, Andrew Chang, Donghun Lee, Jongmin Gim, Jungmin Kim, Jaemin Jung, Oliver Rebholz, Vincent Pham, Krishna Malladi, and Yang Seok Ki. 2022. 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