14 citations · 36 across the 7 of their papers we have counts for
7 papers · 1 filter
Efficient Transmission and Reconstruction of Dependent Data Streams via Edge Sampling
Joel Wolfrath, Abhishek Chandra
Data stream processing is an increasingly important topic due to the prevalence of smart devices and the demand for real-time analytics. Geo-distributed streaming systems, where cl…
Constellation: An Edge-Based Semantic Runtime System for Internet of Things Applications
Mitch Terrell, Yixuan Wang, Matt Dorow +5
With the global Internet of Things IoT market size predicted to grow to over 1 trillion dollars in the next 5 years, many large corporations are scrambling to solidify their produc…
Armada: A Robust Latency-Sensitive Edge Cloud in Heterogeneous Edge-Dense Environments
Lei Huang, Zhiying Liang, Nikhil Sreekumar +4
Edge computing has enabled a large set of emerging edge applications by exploiting data proximity and offloading latency-sensitive and computation-intensive workloads to nearby edg…
On the Future of Cloud Engineering
David Bermbach, Abhishek Chandra, Chandra Krintz +7
Ever since the commercial offerings of the Cloud started appearing in 2006, the landscape of cloud computing has been undergoing remarkable changes with the emergence of many diffe…
MESH: A Flexible Distributed Hypergraph Processing System
Benjamin Heintz, Rankyung Hong, Shivangi Singh +3
With the rapid growth of large online social networks, the ability to analyze large-scale social structure and behavior has become critically important, and this has led to the dev…
Optimizing MapReduce for Highly Distributed Environments
Benjamin Heintz, Abhishek Chandra, Ramesh K. Sitaraman
MapReduce, the popular programming paradigm for large-scale data processing, has traditionally been deployed over tightly-coupled clusters where the data is already locally availab…