Composable ad-hoc mobile services for universal interaction

Hodes, Todd D.; Servan-Schreiber, Edouard; Rowe, Lawrence A.

doi:10.1145/262116.262121

Cited by 95 publications

(63 citation statements)

References 37 publications

(15 reference statements)

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“…In addition to outdoor localization services being well served by a Global Positioning System (GPS), many localization techniques and sophisticated schemes have been developed utilizing deployed sensors [19], Radio Frequency Identification (RFID) [20], Bluetooth [21], infrared transceivers [22], etc. However, considering the deploying and maintenance costs, these methods are inferior to the Local Area Networks (LAN) positioning approaches for the faking of large pedestrian detection.…”

Section: Lan Mobile Localizationmentioning

confidence: 99%

Identification and Prediction of Large Pedestrian Flow in Urban Areas Based on a Hybrid Detection Approach

et al. 2016

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Abstract:Recently, population density has grown quickly with the increasing acceleration of urbanization. At the same time, overcrowded situations are more likely to occur in populous urban areas, increasing the risk of accidents. This paper proposes a synthetic approach to recognize and identify the large pedestrian flow. In particular, a hybrid pedestrian flow detection model was constructed by analyzing real data from major mobile phone operators in China, including information from smartphones and base stations (BS). With the hybrid model, the Log Distance Path Loss (LDPL) model was used to estimate the pedestrian density from raw network data, and retrieve information with the Gaussian Progress (GP) through supervised learning. Temporal-spatial prediction of the pedestrian data was carried out with Machine Learning (ML) approaches. Finally, a case study of a real Central Business District (CBD) scenario in Shanghai, China using records of millions of cell phone users was conducted. The results showed that the new approach significantly increases the utility and capacity of the mobile network. A more reasonable overcrowding detection and alert system can be developed to improve safety in subway lines and other hotspot landmark areas, such as the Bundle, People's Square or Disneyland, where a large passenger flow generally exists.

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Section: Lan Mobile Localizationmentioning

confidence: 99%

Identification and Prediction of Large Pedestrian Flow in Urban Areas Based on a Hybrid Detection Approach

et al. 2016

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“…Some earlier work on mobile service architectures includes Hodes et al [5], who propose an architecture for discovering and working, with local services. However, their work predates most of the internet services that have since emerged and consequently does not take these into account.…”

Section: Related Workmentioning

confidence: 99%

Mobile Service Oriented Architectures (MOSOA)

Gurp

Karhinen

Bosch

2006

Distributed Applications and Interoperable Systems

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Abstract. Mobile services hold a promise of utilizing the phone also for other purposes than purely communication. However, repeated attempts at realizing mobile services in the market place have been met with limited success. This article (1) defines the architectural drivers that drive success or failure of mobile services, (2) analyzes three different architectural styles of realizing such a mobile service using the example of a movie ticket selling service and (3) presents the results of this analysis. The main result of the analysis is that a serious conflict exists between usability and essentially all the other architectural drivers included in our analysis, i.e. portability, deployability and scalability. This is due to the fact that, because of the restricted state of the art technology, only native client applications offer satisfactory usability, but these do not satisfy the other drivers.

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“…Hodes et al [14] have investigated means of composing services for heterogeneous mobile clients. Their work primarily focuses on controlling office equipment from mobile devices and design of client-device interfaces.…”

Section: Related Workmentioning

confidence: 99%

Modeling Distributed Applications for Mobile Ad Hoc Networks Using Attributed Task Graphs

Little¹,

Basu²,

Wang³

2004

Mobile Computing Handbook

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Abstract-Mobile ad hoc networks (MANETs) have received significant attention from the research community recently owing to the growth in popularity of portable computing and wireless networking. While researchers have primarily focused on developing lower layer mechanisms such as channel access and routing for making MANETs operational, higher layer issues such as application modeling have largely remained ignored. In this chapter, we present a novel distributed application framework based on attributed task graphs that enables a large class of resource discovery based applications on mobile, failure-prone environments such as MANETs. A distributed application is represented as a task comprised of smaller sub-tasks that need to be performed on different classes of computing devices with specialized roles. Execution of a particular task on a MANET requires several logical patterns of dataflow between nodes representing such device classes. As a result, dependencies are induced between the different classes of devices that need to cooperate to execute the application. Such dependencies yield a task graph representation of the distributed application.We consider the problem of executing distributed tasks on a MANET by means of dynamic selection of specific devices that are needed to execute the sub-tasks. We present simple and efficient algorithms for dynamic discovery and selection of suitable devices in a MANET from among a number of them providing the same functionality. This is carried out with respect to the proposed task graph representation of the application, and we call this process task embedding or anycasting. Since MANETs are prone to disconnections, we advocate periodic monitoring of the selected devices by one another. In the event of an application disruption owing to node mobility or failures, our algorithms adapt to the situation and dynamically rediscover the affected parts of the task graph, if possible. We propose metrics for evaluating the performance of these algorithms and report simulation results for a variety of application scenarios differing in complexity, traffic, and device mobility patterns. We demonstrate by simulation that our protocol can instantiate and reinstantiate TG nodes effectively in mobile scenarios; also the delivered effective throughput is near perfect at low to medium degrees of mobility and moderately high for high mobility scenarios.

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Composable ad-hoc mobile services for universal interaction

Cited by 95 publications

References 37 publications

Identification and Prediction of Large Pedestrian Flow in Urban Areas Based on a Hybrid Detection Approach

Identification and Prediction of Large Pedestrian Flow in Urban Areas Based on a Hybrid Detection Approach

Mobile Service Oriented Architectures (MOSOA)

Modeling Distributed Applications for Mobile Ad Hoc Networks Using Attributed Task Graphs

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