Browse Proceedings

With the rapid growth of mobile smartphone users, several commercial mobile companies have exploited crowd sourcing as an effective approach to collect and analyze data, to improve their services. In a crowd sourcing system, "human workers" are enlisted ...

Stimulating participation from smartphone users is of paramount importance to mobile crowd sourcing systems and applications. A few incentive mechanisms have been proposed, but most of them have made the impractical assumption that smartphones remain ...

Identity management in online social networks (OSNs) is a challenging, yet important requirement for effective privacy protection and trust management. Literature offers several proposals addressing issues related to identity breaches and/or identity ...

Mobile Social Network (MSN) with diverse connectivity characteristics is a combination of opportunistic network and mobile ad hoc network. Since the major difficulty of data forwarding is the opportunistic part, techniques designed for opportunistic ...

We conduct the first detailed measurement study of the properties of a class of WiFi active power/energy consumption models based on parameters readily available to smartphone app developers. We first consider a number of parameters used by previous ...

The demand for capping carbon emission has promoted the use of fuel cell energy in cloud computing, yet it is unclear what and how much benefit it may bring. This paper, for the first time, attempts to quantitatively examine the benefits brought by fuel ...

With the ever increasing user adoption of mobile devices like smart phones and tablets, the cellular service providers' energy consumption and cost are fast-growing and have received tremendous attention. How to effectively reduce the energy cost of ...

The largest source of energy consumption in buildings is heating, ventilation, and air conditioning (HVAC). For an HVAC system to provide comfort and minimize energy consumption, it is crucial to understand the spatiotemporal thermal dynamics, ...

The value of large amount of location tracking data has received wide attention in many applications including human behavior analysis, urban transportation planning, and various location-based services (LBS). Nowadays, both scientific and industrial ...

In this paper, we present WOHA, an efficient scheduling framework for deadline-aware Map-Reduce workflows. In data centers, complex backend data analysis often utilizes a workflow that contains tens or even hundreds of interdependent Map-Reduce jobs. ...

In this article we present STI-BT, a highly scalable, transactional index for Distributed Key-Value (DKV) stores. STI-BT is organized as a distributed B+Tree and adopts an innovative design that allows to achieve high efficiency in large-scale, elastic ...

Currently, a few online review and recommendation systems (such as Yelp and Trip Advisor) have attracted millions of users and are gaining increasing popularity. They usually rate and rank places and attractions based on subjective ratings provided by ...

Mobile opportunistic networks make use of a new networking paradigm that takes advantage of node mobility to distribute information. Studying their inherent properties of information dissemination can provide a straightforward explanation on the ...

Flex Ray is an automotive network communication protocol. It provides support to transmit time-sensitive messages in automobiles. Flex Ray transmits periodic messages in a static segment and a periodic messages in a dynamic segment. To improve ...

In the last years, large-scale graph processing has gained increasing attention, with most recent systems placing particular emphasis on latency. One possible technique to improve runtime performance in a distributed graph processing system is to reduce ...

Graphs are widely used to characterize relationships or information flows among entities in large networks or distributed systems. In this work, we propose a systematic framework that leverages temporal similarity inherent in dynamic graphs for anomaly ...

The proliferation of location sensors has resulted in the wide availability of historical location and time data. A prominent use of such data is to develop models to estimate travel-times (between arbitrary points in a city) accurately. The problem of ...

Matrix completion has emerged very recently and provides a new venue for low cost data gathering in WSNs. Existing schemes often assume that the data matrix has a known and fixed low-rank, which is unlikely to hold in a practical monitoring system such ...

In emerging information networks, having a privacy pre-serving index (or PPI) is critically important for locating information of interest for data sharing across autonomous providers while preserving privacy. An understudied problem for PPI techniques ...

The increasing popularity of images at social media sites is posing new opportunities for social discovery applications, i.e., suggesting new friends and discovering new social groups with similar interests via exploring images. To effectively handle ...

Mobile sensing relies on data contributed by users through their mobile device (e.g., smart phone) to obtain useful information about people and their surroundings. However, users may not want to contribute due to lack of incentives and concerns on ...

It is generally recognized that the network traffic generated by an individual acts as his biometric signature. Several tools exploit this fact to fingerprint and monitor users. Often, though, these tools access the entire traffic, including IP ...

In this paper we propose, implement and evaluate Open Sample: a low-latency, sampling-based network measurement platform targeted at building faster control loops for software-defined networks. Open Sample leverages sFlow packet sampling to provide near-...