{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/150217"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/150217","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Implementing accelerated key-value store: From SSDs to datacenter servers","abstract":"Efficient management of storage is a primary concern in all systems dealing with Big Data. In the modern era, flash-based solid-state drives (SSDs) are widely adopted in computer systems, slowly replacing hard disk drives. As many kinds of data generated and collected these days are not well-structured, a key-value store has become one of the most important building blocks widely used in datacenters thanks to its simple interface. Key-value stores are often used as a internal engine for other databases. This thesis explores whether a modern flash-based solid-state drive (SSD) augmented with near-storage computations can be re-designed to provide cheaper and power-efficient solution to maintaining various key-value services in the cloud. The thesis explores a new type of storage device, called a key-value SSD (KV-SSD), that exposes a key-value interface instead of the legacy block interface to the host machine. The two alternative power- and cost-efficient solutions that can replace existing KVS components are based on KV-SSDs, LightStore and PinK. LightStore is a new storage architecture based on a group of network-attached KV-SSDs without storage host servers. LightStore aims to primarily support large-sized objects and emulates other types of data stores using application-side adapters. Compared to existing storage server-based solutions, LightStore is up to 2.3X space- and 7.4X energy-efficient. PinK is a novel design of an LSM-tree for KV-SSDs with software and hardware techniques that provides bounded tail latency and design flexibility. PinK prototype reduces the read and 99th percentile latency by 22% and improves read throughput by 44% compared to LightStore prototype. The PinK prototype showed 42-73% better latency and 37% better throughput compared to commercial hash-based prototype. A proposed future design based on smart SSDs, a block-based SSD with an accelerator, shows how the smart SSDs can help existing software KVS on hosts. We believe these alternatives to running various types of key-value stores in datacenters would reduce storage management cost drastically.","abstract_html":"Efficient management of storage is a primary concern in all systems dealing with Big Data. In the modern era, flash-based solid-state drives (SSDs) are widely adopted in computer systems, slowly replacing hard disk drives. As many kinds of data generated and collected these days are not well-structured, a key-value store has become one of the most important building blocks widely used in datacenters thanks to its simple interface. Key-value stores are often used as a internal engine for other databases. This thesis explores whether a modern flash-based solid-state drive (SSD) augmented with near-storage computations can be re-designed to provide cheaper and power-efficient solution to maintaining various key-value services in the cloud. The thesis explores a new type of storage device, called a key-value SSD (KV-SSD), that exposes a key-value interface instead of the legacy block interface to the host machine. The two alternative power- and cost-efficient solutions that can replace existing KVS components are based on KV-SSDs, LightStore and PinK. LightStore is a new storage architecture based on a group of network-attached KV-SSDs without storage host servers. LightStore aims to primarily support large-sized objects and emulates other types of data stores using application-side adapters. Compared to existing storage server-based solutions, LightStore is up to 2.3X space- and 7.4X energy-efficient. PinK is a novel design of an LSM-tree for KV-SSDs with software and hardware techniques that provides bounded tail latency and design flexibility. PinK prototype reduces the read and 99th percentile latency by 22% and improves read throughput by 44% compared to LightStore prototype. The PinK prototype showed 42-73% better latency and 37% better throughput compared to commercial hash-based prototype. A proposed future design based on smart SSDs, a block-based SSD with an accelerator, shows how the smart SSDs can help existing software KVS on hosts. We believe these alternatives to running various types of key-value stores in datacenters would reduce storage management cost drastically.","abstract_has_math":false,"creators":["Chung, Chanwoo"],"institution":"Massachusetts Institute of Technology","degree_name":"Doctoral","degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science","school":null,"contributors":[],"advisors":["Arvind"],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-02","date_published":"2023-02","updated_at":"2026-07-22T22:21:45Z","subjects":[],"languages":[],"rights":["In Copyright - Educational Use Permitted","Copyright MIT"],"rights_urls":["http://rightsstatements.org/page/InC-EDU/1.0/"],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/1721.1/150217","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Arvind"]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. 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In the modern era, flash-based solid-state drives (SSDs) are widely adopted in computer systems, slowly replacing hard disk drives. As many kinds of data generated and collected these days are not well-structured, a key-value store has become one of the most important building blocks widely used in datacenters thanks to its simple interface. Key-value stores are often used as a internal engine for other databases. This thesis explores whether a modern flash-based solid-state drive (SSD) augmented with near-storage computations can be re-designed to provide cheaper and power-efficient solution to maintaining various key-value services in the cloud. The thesis explores a new type of storage device, called a key-value SSD (KV-SSD), that exposes a key-value interface instead of the legacy block interface to the host machine. The two alternative power- and cost-efficient solutions that can replace existing KVS components are based on KV-SSDs, LightStore and PinK. LightStore is a new storage architecture based on a group of network-attached KV-SSDs without storage host servers. LightStore aims to primarily support large-sized objects and emulates other types of data stores using application-side adapters. Compared to existing storage server-based solutions, LightStore is up to 2.3X space- and 7.4X energy-efficient. PinK is a novel design of an LSM-tree for KV-SSDs with software and hardware techniques that provides bounded tail latency and design flexibility. PinK prototype reduces the read and 99th percentile latency by 22% and improves read throughput by 44% compared to LightStore prototype. The PinK prototype showed 42-73% better latency and 37% better throughput compared to commercial hash-based prototype. A proposed future design based on smart SSDs, a block-based SSD with an accelerator, shows how the smart SSDs can help existing software KVS on hosts. We believe these alternatives to running various types of key-value stores in datacenters would reduce storage management cost drastically."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["Ph.D."]},{"key":"dc:title","label":"Title","values":["Implementing accelerated key-value store: From SSDs to datacenter servers"]}]}],"canonical_facts":{"dc:contributor.advisor":["Arvind"],"dc:contributor.department":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science"],"dc:creator":["Chung, Chanwoo"],"dc:date.accessioned":["2023-03-31T14:40:18Z"],"dc:date.available":["2023-03-31T14:40:18Z"],"dc:date.issued":["2023-02"],"dc:description.abstract":["Efficient management of storage is a primary concern in all systems dealing with Big Data. In the modern era, flash-based solid-state drives (SSDs) are widely adopted in computer systems, slowly replacing hard disk drives. As many kinds of data generated and collected these days are not well-structured, a key-value store has become one of the most important building blocks widely used in datacenters thanks to its simple interface. Key-value stores are often used as a internal engine for other databases. This thesis explores whether a modern flash-based solid-state drive (SSD) augmented with near-storage computations can be re-designed to provide cheaper and power-efficient solution to maintaining various key-value services in the cloud. The thesis explores a new type of storage device, called a key-value SSD (KV-SSD), that exposes a key-value interface instead of the legacy block interface to the host machine. The two alternative power- and cost-efficient solutions that can replace existing KVS components are based on KV-SSDs, LightStore and PinK. LightStore is a new storage architecture based on a group of network-attached KV-SSDs without storage host servers. LightStore aims to primarily support large-sized objects and emulates other types of data stores using application-side adapters. Compared to existing storage server-based solutions, LightStore is up to 2.3X space- and 7.4X energy-efficient. PinK is a novel design of an LSM-tree for KV-SSDs with software and hardware techniques that provides bounded tail latency and design flexibility. PinK prototype reduces the read and 99th percentile latency by 22% and improves read throughput by 44% compared to LightStore prototype. The PinK prototype showed 42-73% better latency and 37% better throughput compared to commercial hash-based prototype. A proposed future design based on smart SSDs, a block-based SSD with an accelerator, shows how the smart SSDs can help existing software KVS on hosts. We believe these alternatives to running various types of key-value stores in datacenters would reduce storage management cost drastically."],"dc:description.degree":["Ph.D."],"dc:identifier.uri":["https://hdl.handle.net/1721.1/150217"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["In Copyright - Educational Use Permitted","Copyright MIT"],"dc:rights.uri":["http://rightsstatements.org/page/InC-EDU/1.0/"],"dc:title":["Implementing accelerated key-value store: From SSDs to datacenter servers"],"dc:type":["Thesis"],"thesis:degree_name":["Doctoral","Doctor of Philosophy"]},"updated_at":"2026-07-22T22:21:45Z"}