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  1. Proceedings of the Third International Workshop on Adaptive Resource Management and Scheduling for Cloud Computing (ARMS-CC'16)
  2. I2oT: Inexactness in IoT
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Computation Offloading from Mobile Devices: Can Edge Devices Perform Better Than the Cloud?
Performance of Approximate Causal Consistency for Partially Replicated Systems
Modelling the Scalability of Real-Time Online Interactive Applications on Clouds
The Impact on the Performance of Co-running Virtual Machines in a Virtualized Environment
A Gossip-Based Dynamic Virtual Machine Consolidation Strategy for Large-Scale Cloud Data Centers
Internet of Things data management in the cloud for Bluetooth Low Energy (BLE) devices
I2oT: Inexactness in IoT
Cloud Elasticity: going beyond demand as user load
Cloud live streaming System based on Auto-adaptive Overlay for Cyber Physical Infrastructure

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I2oT: Inexactness in IoT

Content Provider ACM Digital Library
Author Banerjee, Ansuman Mukherjee, Arijit Paul, Himadri Sekhar
Abstract Recent research on inexact computing shows promising results for improved energy utilization for resource hungry applications across different layers of the execution stack. The general philosophy of inexact computing is to trade-off correctness within acceptable limits with the premise of improved energy utilization. In this paper, we explore this philosophy in the context of a heterogeneous Internet-of-Things (IoT) architecture for application execution. We consider an application workflow, comprising of a set of methods with their possible inexact lightweight variants, a deadline for completion, and a multi-tiered IoT compute architecture (e.g. mobile device, gateway, cloud, etc.). Our methodology produces a time-optimized execution solution that assigns each method, with an appropriate variant (the exact one or any of its inexact realizations), to an appropriate computing layer such that the deadline is met with quality as best as possible. We present experimental results to demonstrate the efficacy of our proposal on two real-life case studies.
Starting Page 40
Ending Page 45
Page Count 6
File Format PDF
ISBN 9781450342278
DOI 10.1145/2962564.2962567
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-07-25
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Workflow execution Scheduling Inexact computing
Content Type Text
Resource Type Article
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