MadApp: A Middleware for Opportunistic Data in Mobile Web Applications

Srinivasan, Venkat; Julien, Christine

doi:10.1109/mdm.2014.27

Cited by 3 publications

(3 citation statements)

References 17 publications

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“…Apart from the three typical models, aiming at rendering support for a wider range of applications with a unified bottom layer, Ref. [39][40][41] conceive middleware platforms. Nevertheless, their heterogeneous and non-compatible designs complicate the reproduction and deployment.…”

Section: Bridging Dtn With Http-based Servicesmentioning

confidence: 99%

Geo-DMP: A DTN-Based Mobile Prototype for Geospatial Data Retrieval

Xiang

et al. 2019

IJGI

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Geospatial information is gaining immense interest and importance as we enter the era of highly developed transportation and communication. Despite the proliferation of cellular network and WiFi, on some occasions, users still face barriers to accessing geospatial data. In this paper, we design and implement a distributed prototype system with a delay/disruption tolerant network (DTN), named Geo-DMP, for cooperatively and opportunistically sharing and exchanging named geospatial contents in a device-to-device fashion. First of all, we construct a lightweight “content agent” module to bridge the gap between the application layer and the underlying DTN protocol stack. Afterwards, to profile the mobility history of users in practical geospatial environments, we present a map segmentation scheme based on road network and administrative subdivision information. Subsequently, we associate the regional movement history information with the content retrieval process to devise a hierarchical and region-oriented DTN routing scheme for both requests and responses. Finally, we conduct extensive experiments with real-world trajectories and complete implementations on the emulation platform composed of virtual machines. The experiments corroborate that Geo-DMP has the capability of successfully retrieving geospatial contents for users for most of the time under mobile circumstances with episodic connectivity. Moreover, en-route caches can be efficiently exploited to provision contents from multiple sources with less network resource consumption and shorter user-perceived latencies.

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Section: Bridging Dtn With Http-based Servicesmentioning

confidence: 99%

Geo-DMP: A DTN-Based Mobile Prototype for Geospatial Data Retrieval

Xiang

et al. 2019

IJGI

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“…The XD middleware fits in the space of frameworks and architectures for opportunistic networks, including work involving data distribution using device-to-device communication [7,8,4]. Most middleware facilitating dD2D communication assume a single underlying communication technology.…”

Section: Related Workmentioning

confidence: 99%

XD (exchange-deliver)

Kalbarczyk

Julien

2016

Proceedings of the International Conference on Mobile Software Engineering and Systems

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In this demonstration, we showcase the XD middleware, a framework for expressive multiplexing of application communication streams onto underlying device-to-device communication links. XD allows applications to remain agnostic about which low-level networking stack is actually delivering messages and instead focus on the application-level content and delivery parameters. The IoT space has been flooded with new communication technologies (e.g., BLE, ZigBee, 6LoWPAN) to add to those already available on modern mobile devices (e.g., BLE, WiFi-Direct), substantially increasing the barrier to entry for developing innovative IoT applications. XD presents application developers with a simple publish-subscribe API for sending and receiving data streams, unburdening them from the task of selecting and coordinating communication channels. Our demonstration shows two Android applications, Disseminate and Prophet, running using our XD middleware for communication. We implemented BLE, WiFi Direct with TCP, and WiFi Direct with UDP communication stacks underneath XD.

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“…In our previous work on the MadApp application [5], [6], we showed an application that enabled devices in a shared situation to share media (i.e., photographs) about their shared situation. However, as the media shared between the devices grows increasingly large, sharing entire files over the inherently unreliable device-todevice medium becomes very difficult and error prone.…”

Section: Introductionmentioning

confidence: 99%

Demo abstract disseminate: A demonstration of device-to-device media dissemination

Srinivasan

Kalbarczyk

Julien

2015

2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)

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In this demonstration, we showcase DISSEMINATE, a protocol and accompanying Android application for supporting device-to-device dissemination of data that fulfills shared interests of devices in pervasive computing environments. DISSEMINATE is a novel publish-subscribe based protocol that breaks large (likely media heavy) data items into smaller chunks and opportunistically shares the chunks among co-located mobile devices. Interested devices issue subscriptions for the chunks they need and advertisements for the chunks they can share. Our publish mechanism uses a computation of a chunk's uniqueness to determine whether or not to broadcast it to the locally connected devices. The DISSEMINATE app provides an implementation of the protocol in an Android application for sharing photographs via WiFi-Direct broadcast communication.

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MadApp: A Middleware for Opportunistic Data in Mobile Web Applications

Cited by 3 publications

References 17 publications

Geo-DMP: A DTN-Based Mobile Prototype for Geospatial Data Retrieval

Geo-DMP: A DTN-Based Mobile Prototype for Geospatial Data Retrieval

XD (exchange-deliver)

Demo abstract disseminate: A demonstration of device-to-device media dissemination

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