2,212 research outputs found
Collaborative Reuse of Streaming Dataflows in IoT Applications
Distributed Stream Processing Systems (DSPS) like Apache Storm and Spark
Streaming enable composition of continuous dataflows that execute persistently
over data streams. They are used by Internet of Things (IoT) applications to
analyze sensor data from Smart City cyber-infrastructure, and make active
utility management decisions. As the ecosystem of such IoT applications that
leverage shared urban sensor streams continue to grow, applications will
perform duplicate pre-processing and analytics tasks. This offers the
opportunity to collaboratively reuse the outputs of overlapping dataflows,
thereby improving the resource efficiency. In this paper, we propose
\emph{dataflow reuse algorithms} that given a submitted dataflow, identifies
the intersection of reusable tasks and streams from a collection of running
dataflows to form a \emph{merged dataflow}. Similar algorithms to unmerge
dataflows when they are removed are also proposed. We implement these
algorithms for the popular Apache Storm DSPS, and validate their performance
and resource savings for 35 synthetic dataflows based on public OPMW workflows
with diverse arrival and departure distributions, and on 21 real IoT dataflows
from RIoTBench.Comment: To appear in IEEE eScience Conference 201
Controlled Components for Internet of Things As-A-Service
In order to facilitate developers willing to create future Internet of Things (IoT) services incorporating the nonfunctional aspects, we introduce an approach and an environment based on controlled components. Our approach allows developers to design an IoT "as-a-service", to build the service composition and to manage it. This is important, because the IoT allows us to observe and understand the real world in order to have decision-making information to act on reality. It is important to make sure that all these components work according to their mission, i.e. their Quality of Service (QoS) contract. Our environment provides the modeling, generates Architecture Description Language (ADL) formats, and uses them in the implementation phase on an open-source platform
Supporting Cyber-Physical Systems with Wireless Sensor Networks: An Outlook of Software and Services
Sensing, communication, computation and control technologies are the essential building blocks of a cyber-physical system (CPS). Wireless sensor networks (WSNs) are a way to support CPS as they provide fine-grained spatial-temporal sensing, communication and computation at a low premium of cost and power. In this article, we explore the fundamental concepts guiding the design and implementation of WSNs. We report the latest developments in WSN software and services for meeting existing requirements and newer demands; particularly in the areas of: operating system, simulator and emulator, programming abstraction, virtualization, IP-based communication and security, time and location, and network monitoring and management. We also reflect on the ongoing
efforts in providing dependable assurances for WSN-driven CPS. Finally, we report on its applicability with a case-study on smart buildings
Validating IoT Devices with Rate-Based Session Types
We develop a session types based framework for implementing and validating rate-based message passing systems in Internet of Things (IoT) domains. To model the indefinite repetition present in many embedded and IoT systems, we introduce a timed process calculus with a periodic recursion primitive. This allows us to model rate-based computations and communications inherent to these application domains. We introduce a definition of rate based session types in a binary session types setting and a new compatibility relationship, which we call rate compatibility. Programs which type check enjoy the standard session types guarantees as well as rate error freedom --- meaning processes which exchanges messages do so at the same rate. Rate compatibility is defined through a new notion of type expansion, a relation that allows communication between processes of differing periods by synthesizing and checking a common superperiod type. We prove type preservation and rate error freedom for our system, and show a decidable method for type checking based on computing superperiods for a collection of processes. We implement a prototype of our type system including rate compatibility via an embedding into the native type system of Rust. We apply this framework to a range of examples from our target domain such as Android software sensors, wearable devices, and sound processing
Graceful Degradation in IoT Security
As the consumer grade IoT devices industry advances, personal privacy is constantly eroded for the sake of convenience. Current security solutions, although available, ignore convenience by requiring the purchase of additional hardware, implementing confusing, out of scope updates for a non-technical user, or quarantining a device, rendering it useless. This paper proposes a solution that simultaneously maintains convenience and privacy, tailored for the Internet of Things. We propose a novel graceful degradation technique which targets individual device functionalities for acceptance or denial at the network level. When combined with current anomaly detection and fingerprinting methods, graceful degradation provides a personalized IoT security solution for the modern user
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