{"id":2,"date":"2023-06-24T08:16:50","date_gmt":"2023-06-24T08:16:50","guid":{"rendered":"https:\/\/nawab.me\/main\/?page_id=2"},"modified":"2024-09-13T20:24:37","modified_gmt":"2024-09-13T20:24:37","slug":"sample-page","status":"publish","type":"page","link":"https:\/\/nawab.me\/main\/","title":{"rendered":""},"content":{"rendered":"\n
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Faisal Nawab<\/strong> leads the EdgeLab at the University of California, Irvine (UCI). His work aims to build Edge-Cloud Data Management (ECDM) systems<\/strong> to support emerging Internet of Things (IoT) and edge applications. <\/p>\n\n\n\n

Hightlights<\/strong><\/p>\n\n\n\n\n \n
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🗞️ Learn more about our new book “Consensus in Data Management” HERE<\/a><\/p>\n <\/td>\n <\/tr>\n<\/table>\n\n\n\n\n \n
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🗞️ Learn more about AnyLog – an edge-cloud database that incorporates our research work HERE<\/a><\/p>\n <\/td>\n <\/tr>\n<\/table>\n\n\n\n

Links<\/strong><\/p>\n\n\n\n

Google Scholar<\/a> DBLP<\/a> C.V.<\/a><\/p>\n<\/div>\n\n\n\n

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Edge-Cloud Data Management (ECDM) Research Summary<\/h2>\n\n\n\n
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In EdgeLab (started in 2018), we conduct research on the design principles of building edge-cloud data management systems.<\/p>\n\n\n\n

What is Edge-Cloud Data Management (ECDM)?<\/strong><\/p>\n\n\n\n

ECDM refers to building data systems that operate across edge nodes (close to users). These edge devices can be as small as IoT devices and as big as clusters of machines in edge\/micro data centers.<\/p>\n\n\n\n

Why Edge-Cloud Data Management (ECDM)?<\/strong><\/p>\n\n\n\n

ECDM is essential to support emerging mobile, edge, and IoT applications that require fast response times and cannot afford the long wide-area latency to communicate with a data center.<\/p>\n\n\n\n

What Research is needed to enable ECDM?<\/strong><\/p>\n\n\n\n

In EdgeLab, we tackle the unique challenges in building ECDM systems. This includes the following thrusts (1) Distributed Data Management:<\/strong> how to build distributed data management protocols for edge environments with a large number of nodes. (2) Decentralization:<\/strong> how to build protocols to manage the unpredictable\/sporadic availability and untrust of edge nodes with decentralization and blockchain technologies. (3) Energy Efficiency: <\/strong>how to build data systems that optimize the energy consumption of edge devices.<\/p>\n<\/div>\n\n\n\n

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Thrust 1: Distributed Data Management for ECDM<\/h2>\n\n\n\n
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To enable efficient distributed coordination in ECDM we propose the following design principles:<\/p>\n\n\n\n

(1) Hierarchy and localization: <\/strong>Build protocols that cluster nodes together and perform distributed consensus and coordination in a locality-aware manner<\/p>\n\n\n\n

Sample publications: Dynamic Paxos<\/a> published in SIGMOD’18 and Blockplane<\/a> published in ICDE’19<\/p>\n\n\n\n

(2) Indexing and transaction processing that span edge and cloud machines: <\/strong>propose data management foundations that allows managing the asymmetry between edge and cloud machines to utilize both in the same design<\/p>\n\n\n\n

Sample publications: CooLSM<\/a> published in ICDE’21 and Croesus<\/a> published in ICDE’22<\/p>\n<\/div>\n\n\n\n

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