activity
20132026
most citedRIoTBench: A Real-time IoT Benchmark for Distributed Stream Processing Platforms

178 citations · 1.1k across the 84 of their papers we have counts for

collaborators
Showing 2017Show all

9 papers · 1 filter

cs.DC2017★ 10 cited

Big Data and Fog Computing

Yogesh Simmhan

Fog computing serves as a computing layer that sits between the edge devices and the cloud in the network topology. They have more compute capacity than the edge but much less so t…

cs.DC2017★ 23 cited

Toward Reliable and Rapid Elasticity for Streaming Dataflows on Clouds

Anshu Shukla, Yogesh Simmhan

The pervasive availability of streaming data is driving interest in distributed Fast Data platforms for streaming applications. Such latency-sensitive applications need to respond…

cs.DC2017★ 69 cited

A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade

Rajkumar Buyya, Satish Narayana Srirama, Giuliano Casale +22

The Cloud computing paradigm has revolutionised the computer science horizon during the past decade and has enabled the emergence of computing as the fifth utility. It has captured…

cs.DC2017★ 8 cited

Collaborative Reuse of Streaming Dataflows in IoT Applications

Shilpa Chaturvedi, Sahil Tyagi, Yogesh Simmhan

Distributed Stream Processing Systems (DSPS) like Apache Storm and Spark Streaming enable composition of continuous dataflows that execute persistently over data streams. They are…

cs.DC2017★ 58 cited

ECHO: An Adaptive Orchestration Platform for Hybrid Dataflows across Cloud and Edge

Pushkara Ravindra, Aakash Khochare, Siva Prakash Reddy +3

The Internet of Things (IoT) is offering unprecedented observational data that are used for managing Smart City utilities. Edge and Fog gateway devices are an integral part of IoT…

cs.DC2017★ 150 cited

Demystifying Fog Computing: Characterizing Architectures, Applications and Abstractions

Prateeksha Varshney, Yogesh Simmhan

Internet of Things (IoT) has accelerated the deployment of millions of sensors at the edge of the network, through Smart City infrastructure and lifestyle devices. Cloud computing…

cs.DC2017★ 47 cited

Model-driven Scheduling for Distributed Stream Processing Systems

Anshu Shukla, Yogesh Simmhan

Distributed Stream Processing frameworks are being commonly used with the evolution of Internet of Things(IoT). These frameworks are designed to adapt to the dynamic input message…

cs.DC2017★ 178 cited

RIoTBench: A Real-time IoT Benchmark for Distributed Stream Processing Platforms

Anshu Shukla, Shilpa Chaturvedi, Yogesh Simmhan

The Internet of Things (IoT) is an emerging technology paradigm where millions of sensors and actuators help monitor and manage, physical, environmental and human systems in real-t…

cs.DC2017★ 8 cited

ARM Wrestling with Big Data: A Study of Commodity ARM64 Server for Big Data Workloads

Jayanth Kalyanasundaram, Yogesh Simmhan

ARM processors have dominated the mobile device market in the last decade due to their favorable computing to energy ratio. In this age of Cloud data centers and Big Data analytics…