The explosive growth of web applications and the need to support millions of users make the process of developing web applications difficult.
Cloud application platforms and large organizations face the challenge of managing, storing, and serving data for large numbers of applications with small data footprints.
The need for scalable main-memory DBMSs for OLTP (Online Transactional Processing) workloads is motivated by decreasing memory costs and an increasing demand for high-throughput transaction processing
High level project in Social Networks (relating to various other DSL projects) involving collaborations of: Divy Agrawal (Computer Science), Stacy Patterson (Mechanical Engineering), Andrew Flanagin (
Social networks provide a large-scale information infrastructure for people to discuss and exchange ideas about variety of topics.
Why is it that some ideas or products become unusually successful and get adopted widely while others don’t?
In an ongoing project, we are studying the notion of competing campaigns in a social network and address the problem of inﬂuence limitation where a “bad” campaign starts propagating from a certain nod
Cloud computing has emerged as a powerful paradigm for hosting Internet scale applications in large computing infrastructures.
Online Social Networks (OSN) have been shown to have benefits as a medium for fast, widespread information dissemination. They provide fast access to large scale data in little-to-no cost.
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