Summarization has been proven to be a useful and effective technique supporting data
analysis of large amounts of data. Knowledge discovery from data (KDD) is time consuming …

Data stream processing has become a hot issue in recent years due to the arrival of big data
era. There are three fundamental stream processing tasks: membership query, frequency …

Recent network telemetry solutions typically target programmable switches to achieve high
performance and in-network visibility. They partition the packet stream into windows and …

Although Radio Frequency Identification (RFID) is poised to displace barcodes, security
vulnerabilities pose serious challenges for global adoption of the RFID technology …

Data stream processing has become a hot issue in recent years. There are three
fundamental stream processing tasks: membership query, frequency query, and Top-K …

High-accuracy real-time data stream estimations are critical for various applications, and
sliding-window-based techniques have attracted wide attention. However, existing solutions …

Load shedding is a technique employed by stream processing systems to handle
unpredictable spikes in the input load whenever available computing resources are not …

Per-flow counting for big network data streams is a fundamental problem in various network
applications such as traffic monitoring, load balancing, capacity planning, etc. Traditional …

In a networked world, events are transmitted from multiple distributed sources into CEP
systems, where events are related to one another along multiple dimensions, eg, temporal …

In automated negotiation systems consisting of selfinterested agents, contracts have
traditionally been binding, ie, impossible to breach. Such contracts do not allow the agents …