Query processing over big data is ubiquitous in modern clouds, where the system takes care
of picking both the physical query execution plans and the resources needed to run those …

Achieving cost and performance efficiency for cloud-hosted databases requires exploring a
large configuration space, including the parameters exposed by the database along with the …

Finding good cloud configurations for deploying a single distributed system is already a
challenging task, and it becomes substantially harder when a data analytics cluster is …

Inter-job dependencies pervade shared data analytics infrastructures (so-called``data
lakes''), as jobs read output files written by previous jobs, yet are often invisible to current …

Continuous mobile vision is becoming increasingly important as it finds compelling
applications which substantially improve our everyday life. However, meeting the …

Right-sizing resource allocation for big-data queries, particularly in serverless environments,
is critical for improving infrastructure operational efficiency, capacity availability, query …

The workflows of the predominant datacenter services are underlaid by various Fork-Join
structures. Due to the lack of good understanding of the performance of Fork-Join structures …

Coupon advertisement is everywhere in people's daily lives, and it is a common marketing
strategy adopted by merchants. A problem, Budget Profit Maximization with Coupon …

We study a fundamental online job admission problem where jobs with deadlines arrive
online over time at their release dates, and the task is to determine a preemptive single …

Resource allocation for serverless query processing is a challenge. Unfortunately, prior
approaches have treated queries as black boxes, thereby missing significant resource …