Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 54 for “"Stream Processing"”.
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Language design for distributed stream processing
Applications that combine live data streams with embedded, parallel, and distributed processing are becoming more commonplace. WaveScript is a domain-specific language that brings high-level, type-safe, garbage-collected programming to these domains. This is made possible by three primary …
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CBPsp: complex business processes for stream processing
… of a complex business process driven event stream processing system to produce meaningful output with direct implications to the business objectives of an organization. This framework is demonstrated using a case study instantiating the management of a newborn infant with hypoglycaemia. …
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Quality-of-Service-Aware Data Stream Processing
Data stream processing in the industrial as well as in the academic field has gained more and more importance during the last years. Consider the monitoring of industrial processes as an example. There, sensors are mounted to gather lots of data within a short time range. Storing and …
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Satisfying service level objectives in stream processing systems
… sites that show top trends and recent comments, streaming video analytics that identify traffic patterns and movement, and jobs that process ad pipelines. This has led to the proliferation of stream processing systems that process such data to produce real-time results. As these applications must …
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Segment backup: datacenter-disaster tolerance for stream processing systems
… tolerance solution called segment backup for stream processing systems. During regular running, segment backup inserts barriers into the normal tuple stream to indicate the backup versions and ensure node-level synchronization of multiple input streams. Additionally, segment backup …
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A signal oriented stream processing system for pipeline monitoring
… SignalDB, a framework for composing signal processing applications from primitive stream and signal processing operators. SignalDB allows the user to focus on the signal processing task and avoid needlessly spending time on learning a particular application programming interface (API). We …
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Stela: on-demand elasticity in distributed data stream processing systems
… velocity [24], and recently several real- time stream processing systems have emerged to combat this challenge. These systems process streams of data in real time and computational results. However, current popular data stream processing systems lack the ability to scale out and scale in (i.e., …
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Henge: An intent-driven scheduler for multi-tenant stream processing
… supports intent-based multi-tenancy in modern stream processing applications. Henge supports multi-tenancy as a first-class citizen: everyone inside an organization can now submit their stream processing jobs to a single, shared, consolidated cluster. Additionally, Henge allows each tenant …
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Dynamic re-optimization techniques for stream processing engines and object stores
<p>Large scale data storage and processing systems are strongly motivated by the need to store and analyze massive datasets. The complexity of a large class of these systems is rooted in their distributed nature, extreme scale, need for real-time response, and streaming nature. The use of these …
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New techniques to lower the tail latency in stream processing systems
Over the past decade, the demand for real time processing of huge amount of streaming data has emerged and grown rapidly. Apache Storm, Apache Flink, Samza and many other stream processing frameworks have been proposed and implemented to meet this need. Although lots of effort has been made to …
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Partial Fault Tolerance in Stream Processing Applications - Methods and Evaluation Techniques
Stream processing emerged as a paradigm to continuously process incoming live data streams, such as audio, video, and business feeds. These applications are assembled as data ow graphs, where each vertex of the graph is a stream operator and each edge is a stream connection. In this environment, a …
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Elasticity and resource aware scheduling in distributed data stream processing systems
The student, Boyang Peng, submitted this Thesis for approval on 2015-04-22 at 10:43.
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Partial fault tolerance in stream processing applications - methods and evaluation techniques
Stream processing emerged as a paradigm to continuously process incoming live data streams, such as audio, video, and business feeds. These applications are assembled as dataflow graphs, where each vertex of the graph is a stream operator and each edge is a stream connection. In this environment, a …
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Fault-tolerance and load management in a distributed stream processing system
… and an increased demand for online information processing have given rise to a new class of applications that require continuous, low-latency processing of large-volume data streams. These "stream processing applications" arise in many areas such as sensor-based environment monitoring, financial …
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FastRecover: simple and effective fault recovery in a distributed operator-based stream processing engine
… is a key requirement in large-scale distributed stream processing engines (SPEs), especially those that run atop commodity hardware. Currently, fault tolerance in popular distributed SPEs is either inadequate (e.g., those without automatic recovery of operator states) or complex and inefficient …
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Real-time Intrusion Detection using Multidimensional Sequence-to-Sequence Machine Learning and Adaptive Stream Processing
… IDS, incoming packets are treated as a stream of data. A stream processor takes any stream of data or events and extracts interesting patterns on the fly. This representation allows applying statistical anomaly detection using sequence prediction algorithms as well as using a stream …
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Sensorimotor Modulations by Cognitive Processes During Accurate Speech Discrimination: An EEG Investigation of Dorsal Stream Processing
… anterior and posterior regions of the dorsal stream in support of speech perception, though it remains unclear how this mechanism responds to cognitive processes in service of task demands. The purpose of the current study was to identify the influences of attention and working memory on …
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An adaptive placement framework for efficient near-data stream processing over data source-edge-cloud systems
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-08-01
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A Semantic Complex Event Processing Framework for Internet of Things Applications. Towards Detecting Complex Events in Stream Processing
… the integration of traditional complex event processing (CEP) with semantic web technologies to detect complex events in real-time streaming data analysis within the IoT domain. The research develops a semantic complex event processing framework tailored specifically for IoT applications. By …
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