Intentional networking

Higgins, Brett D.; Reda, Azarias; Alperovich, Timur; Flinn, Jason; Giuli, T. J.; Noble, Brian; Watson, David

doi:10.1145/1859995.1860005

Cited by 78 publications

(9 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Intentional networking [10] relies on the application's intent that provides information about the data to request. Applications declare labels which defines the importance and the urgency of the requested data.…”

Section: Related Workmentioning

confidence: 99%

“…To solve this problem, some authors [4]- [10] use a multiuse interface connectivity, which can be supported at various layers in the network stack, such as TCP (MPTCP), sockets, and the HTTP layer, thereby enabling the mobile device to send and receive data through multiple network interfaces simultaneously. Some works modify the link layer [4] in a way that an application sends traffic by connecting to a virtual ethernet interface that stitches multiple interfaces together.…”

Section: Introductionmentioning

confidence: 99%

“…Other studies focus on the Transport layer [6], [7], using multiple interfaces for a single connection by modifying the TCP protocol. Finally, other authors [5], [8]- [10] are focused on sockets and application layers through the use of multiple paths from source to destination. Some of these approaches can not use all the available interfaces on mobile devices, i.e., it does not send and receive simultaneously data from different network technologies.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

MASCA: MAnagement of simultaneous connectivity for applications

Tortorello

Nakamura

Lobato

et al. 2015

2015 7th International Conference on New Technologies, Mobility and Security (NTMS)

View full text Add to dashboard Cite

Nowadays, wireless technologies and mobile communication networks have been widely used in many public places due to the greater flexibility, reduced wiring cost and improved efficiency when compared to wired alternatives. Particularly, the real time wireless technologies allow users to collect and transmit data in a timely manner and also draw a good attention of them. This transmission does not only involves the web data, but also control messages. Also, it has a high impact on the traditional wireless and mobile communication networks. Thus, one of the most challenge in this research area is the designing of an efficient and robust mobility management. This work aims at developing an application that will manage connections made by mobile devices, providing the user with the ability to map their connections for each application, enabling the simultaneous use of more than one network interface; therefore our solution seeks to increase the flow of data user. Our proposal uses smartphones for the creation of application development, which was developed for Android platforms, in order to contribute to the open source community.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

MASCA: MAnagement of simultaneous connectivity for applications

Tortorello

Nakamura

Lobato

et al. 2015

2015 7th International Conference on New Technologies, Mobility and Security (NTMS)

View full text Add to dashboard Cite

show abstract

“…One way Android mitigates Alarms' negative impact is batching, i.e., by executing alarms with (reasonably) proximate execution scheduled times together. Batching can greatly reduce total device awake time while increasing the chance that traffic from different applications can occur simultaneously (and thus greatly reducing energy consumption [26,33,79,98,112,149]). Unfortunately, the success of batching depends on the correct usage of alarm APIs (by applications) which widespread and impact are unknown.…”

Section: Execution Schedulingmentioning

confidence: 99%

“…However, Vergara et al [150] recognized that most traffic shaping algorithms (aggregation and delay) proposed in literature [26,33,79,98,112,149] were based on traffic simulation using pre-recorded packet traces. It claims that these approaches ignore application-protocol interactions and do not measure the energy consumption of the respective solutions.…”

Section: Android Energy Consumptionmentioning

confidence: 99%

Elastic phone : towards detecting and mitigating computation and energy inefficiencies in mobile apps

Almeida

View full text Add to dashboard Cite

Mobile devices have become ubiquitous and their ever evolving capabilities are bringing them closer to personal computers. Nonetheless, due to their mobility and small size factor constraints, they still present many hardware and software challenges. Their limited battery life time has led to the design of mobile networks that are inherently different from previous networks (e.g., wifi) and more restrictive task scheduling. Additionally, mobile device ecosystems are more susceptible to the heterogeneity of hardware and from conflicting interests of distributors, internet service providers, manufacturers, developers, etc. The high number of stakeholders ultimately responsible for the performance of a device, results in an inconsistent behavior and makes it very challenging to build a solution that improves resource usage in most cases. The focus of this thesis is on the study and development of techniques to detect and mitigate computation and energy inefficiencies in mobile apps. It follows a bottom-up approach, starting from the challenges behind detecting inefficient execution scheduling by looking only at apps’ implementations. It shows that scheduling APIs are largely misused and have a great impact on devices wake up frequency and on the efficiency of existing energy saving techniques (e.g., batching scheduled executions). Then it addresses many challenges of app testing in the dynamic analysis field. More specifically, how to scale mobile app testing with realistic user input and how to analyze closed source apps’ code at runtime, showing that introducing humans in the app testing loop improves the coverage of app’s code and generated network volume. Finally, using the combined knowledge of static and dynamic analysis, it focuses on the challenges of identifying the resource hungry sections of apps and how to improve their execution via offloading. There is a special focus on performing non-intrusive offloading transparent to existing apps and on in-network computation offloading and distribution. It shows that, even without a custom OS or app modifications, in-network offloading is still possible, greatly improving execution times, energy consumption and reducing both end-user experienced latency and request drop rates. It concludes with a real app measurement study, showing that a good portion of the most popular apps’ code can indeed be offloaded and proposes future directions for the app testing and computation offloading fields. Los dispositivos móviles se han tornado omnipresentes y sus capacidades están en constante evolución acercándolos a los computadoras personales. Sin embargo, debido a su movilidad y tamaño reducido, todavía presentan muchos desafíos de hardware y software. Su duración limitada de batería ha llevado al diseño de redes móviles que son inherentemente diferentes de las redes anteriores y una programación de tareas más restrictiva. Además, los ecosistemas de dispositivos móviles son más susceptibles a la heterogeneidad de hardware y los intereses conflictivos de las entidades responsables por el rendimiento final de un dispositivo. El objetivo de esta tesis es el estudio y desarrollo de técnicas para detectar y mitigar las ineficiencias de computación y energéticas en las aplicaciones móviles. Empieza con los desafíos detrás de la detección de planificación de ejecución ineficientes, mirando sólo la implementación de las aplicaciones. Se muestra que las API de planificación son en gran medida mal utilizadas y tienen un gran impacto en la frecuencia con que los dispositivos despiertan y en la eficiencia de las técnicas de ahorro de energía existentes. A continuación, aborda muchos desafíos de las pruebas de aplicaciones en el campo de análisis dinámica. Más específicamente, cómo escalar las pruebas de aplicaciones móviles con una interacción realista y cómo analizar código de aplicaciones de código cerrado durante la ejecución, mostrando que la introducción de humanos en el bucle de prueba de aplicaciones mejora la cobertura del código y el volumen de comunicación de red generado. Por último, combinando la análisis estática y dinámica, se centra en los desafíos de identificar las secciones de aplicaciones con uso intensivo de recursos y cómo mejorar su ejecución a través de la ejecución remota (i.e.,"offload"). Hay un enfoque especial en el "offload" no intrusivo y transparente a las aplicaciones existentes y en el "offload"y distribución de computación dentro de la red. Demuestra que, incluso sin un sistema operativo personalizado o modificaciones en la aplicación, el "offload" en red sigue siendo posible, mejorando los tiempos de ejecución, el consumo de energía y reduciendo la latencia del usuario final y las tasas de caída de solicitudes de "offload". Concluye con un estudio real de las aplicaciones más populares, mostrando que una buena parte de su código puede de hecho ser ejecutado remotamente y propone direcciones futuras para los campos de "offload" de aplicaciones.

show abstract