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On Optimal and Fair Service Allocation in Mobile Cloud Computing
This paper studies the optimal and fair service allocation for a variety of
mobile applications (single or group and collaborative mobile applications) in
mobile cloud computing. We exploit the observation that using tiered clouds,
i.e. clouds at multiple levels (local and public) can increase the performance
and scalability of mobile applications. We proposed a novel framework to model
mobile applications as a location-time workflows (LTW) of tasks; here users
mobility patterns are translated to mobile service usage patterns. We show that
an optimal mapping of LTWs to tiered cloud resources considering multiple QoS
goals such application delay, device power consumption and user cost/price is
an NP-hard problem for both single and group-based applications. We propose an
efficient heuristic algorithm called MuSIC that is able to perform well (73% of
optimal, 30% better than simple strategies), and scale well to a large number
of users while ensuring high mobile application QoS. We evaluate MuSIC and the
2-tier mobile cloud approach via implementation (on real world clouds) and
extensive simulations using rich mobile applications like intensive signal
processing, video streaming and multimedia file sharing applications. Our
experimental and simulation results indicate that MuSIC supports scalable
operation (100+ concurrent users executing complex workflows) while improving
QoS. We observe about 25% lower delays and power (under fixed price
constraints) and about 35% decrease in price (considering fixed delay) in
comparison to only using the public cloud. Our studies also show that MuSIC
performs quite well under different mobility patterns, e.g. random waypoint and
Manhattan models
Delay Tolerant Networking over the Metropolitan Public Transportation
We discuss MDTN: a delay tolerant application platform built on top of the Public Transportation System (PTS) and able to provide service access while exploiting opportunistic connectivity. Our solution adopts a carrier-based approach where buses act as data collectors for user requests requiring Internet access. Simulations based on real maps and PTS routes with state-of-the-art routing protocols demonstrate that MDTN represents a viable solution for elastic nonreal-time service delivery. Nevertheless, performance indexes of the considered routing policies show that there is no golden rule for optimal performance and a tailored routing strategy is required for each specific case
Quasi-omniscient networks: scenarios on context capturing and new services through wireless sensor networks
This paper addresses future scenarios for the telecommunications field, addressing the impact of three important research trends in computer networks: Context, Sensors and Wireless Networks. The proposed scenarios clearly highlight the possible synergies between the defined areas, and describe the role of Users and Network Operators in order to achieve the described goals. The potential danger of an over-encompassing network is identified, with a brief discussion on the challenges associated to the implementation of such a knowledge-aware communications network. The paper finalizes presenting a classification on the typical scenarios to be expected, and highlighting the associated challenges. It also presents a proposal on a scalable network infrastructure for Context processing
Investigating the use of semantic technologies in spatial mapping applications
Semantic Web Technologies are ideally suited to build context-aware information retrieval applications. However, the geospatial aspect of context awareness presents unique challenges such as the semantic modelling of geographical references for efficient handling of spatial queries, the reconciliation of the heterogeneity at the semantic and geo-representation levels, maintaining the quality of service and scalability of communicating, and the efficient rendering of the spatial queries' results. In this paper, we describe the modelling decisions taken to solve these challenges by analysing our implementation of an intelligent planning and recommendation tool that provides location-aware advice for a specific application domain. This paper contributes to the methodology of integrating heterogeneous geo-referenced data into semantic knowledgebases, and also proposes mechanisms for efficient spatial interrogation of the semantic knowledgebase and optimising the rendering of the dynamically retrieved context-relevant information on a web frontend
Quality of Information in Mobile Crowdsensing: Survey and Research Challenges
Smartphones have become the most pervasive devices in people's lives, and are
clearly transforming the way we live and perceive technology. Today's
smartphones benefit from almost ubiquitous Internet connectivity and come
equipped with a plethora of inexpensive yet powerful embedded sensors, such as
accelerometer, gyroscope, microphone, and camera. This unique combination has
enabled revolutionary applications based on the mobile crowdsensing paradigm,
such as real-time road traffic monitoring, air and noise pollution, crime
control, and wildlife monitoring, just to name a few. Differently from prior
sensing paradigms, humans are now the primary actors of the sensing process,
since they become fundamental in retrieving reliable and up-to-date information
about the event being monitored. As humans may behave unreliably or
maliciously, assessing and guaranteeing Quality of Information (QoI) becomes
more important than ever. In this paper, we provide a new framework for
defining and enforcing the QoI in mobile crowdsensing, and analyze in depth the
current state-of-the-art on the topic. We also outline novel research
challenges, along with possible directions of future work.Comment: To appear in ACM Transactions on Sensor Networks (TOSN
Context-Aware Mobile Games Using Android, Arduino and HTML5
Mobiilitehnoloogiate areng ja nutitelefonide kiire levik loob uusi vĂ”imalusi mobiilirakenduste arendamiseks ning palju rĂ”hku pannakse mĂ€ngudele. Loodavad mĂ€ngud muutuvad aga keerulisemaks, sest ĂŒha enam kasutatakse keskkonnast tulevat informatsiooni, et kohandada mĂ€ngu vastavalt kasutaja asukohale ja kontekstile. MĂ€nge, mis seovad kasutaja fĂŒĂŒsile asukoha ja oleku virtuaalmaailmaga keskkonnateadlikuks mĂ€nguks. Ăha enam luuakse rakendusi veebiplatvormile, mitte kindlatele operatsioonisĂŒsteemidele, sest veebitehnoloogiad vĂ”imaldavad luua vĂ”rdvÀÀrse funktsionaalsuse ning kasutajamugavusega rakendusi. VeebipĂ”histe rakenduste suurimaks eeliseks on see, et nende tööks on vaja ainult veebibrauserit ning igale operastioonisĂŒteemile ei pea kirjutama eraldi programmi. Antud tehnoloogiad on jĂ”udnud ka mobiilimaailma, kus iga operatsioonisĂ”steemi jaoks peab arendama eraldiseisva rakenduse, sest iga tootja sĂŒsteem on teistest erinev. Antud bakalaurusetöö eesmĂ€rgiks on luua veebitehnoloogiaid kasutades mobiilimĂ€ng, mille juhtimiseks kasutatakse nutitelefonis olevaid sensoreid ning lisaks Arduino mikrokontrolleritest tulevat vĂ€liskeskoona informatsiooni. Antud bakalaurusetöö suurimaks panuseks on PhoneGap raamistikule loodud moodul, mis vĂ”imaldab pĂ€rida Arduino mikrokontrollerist saadetud sensorite informatsiooni kliendipoolsest koodist, mis tavaliste lahendustega pole vĂ”imalik.Latest technological achievements in mobile and open-source electronics platforms made it possible to develop pervasive applications that use environmental information to enhance software usability aspects in real-time, like in the case of context-aware mobile games. However, the development of this kind of pervasive applications is tied to speci c aspects owned by each mobile platform (e.g. programming language, SDK and tools, etc.). Moreover, a considerable effort and knowledge in low-level programming techniques is required for porting the applications between platforms, and thus in general most of the solutions are targeted at particular platform. In order to investigate the possibility of creating portable pervasive applications that combine sensor information from the multiple micromechanical artefacts embedded within the smartphones, we used contextual sensor data provided by Arduino Microcontroller. The current thesis proposed extending the existing implementation of PhoneGap to create hybrid mobile applications based on HTML5 that are easy to port, maintain and reuse
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