Search By Subject

Event streaming systems, such as Apache Kafka, are increasingly used for data-intensive applications due to the proliferation of streaming sources of data and the requirement of responding with low latency. These systems center their internal design and ...

Streaming systems are an increasingly appealing substrate for managing video data via the stream abstraction. However, if we consider a large stream collection, it can be hard for data scientists to discover and locate relevant videos, let alone specific ...

With the amount of data growing rapidly today, the metadata size of the big data storage also increases explosively. Massive metadata not only causes challenges in stroage resources but also reduces the access performance. In this paper, we propose an ...

The integration of AI-powered drone monitoring with thermal imaging cameras enhances wildlife protection by enabling autonomous animal detection and classification. This paper presents a system based on YOLOv8 that processes thermal data from drones, ...

Although there is no distinctive header, this is the abstract. This submission template allows authors to submit their papers for review to an ACM Conference or Journal without any output design specifications incorporated at this point in the process. ...

In the era of big data and information, the traditional management of student behaviour is increasingly showing the disadvantages of untimely intervention and "backwardness" of the governance model. Nowadays, by applying education big data in the ...

In order to further improve the intelligence of the enterprise financial intelligent budget system, this paper constructs the financial budget system based on the concept of big data and the actual needs of the enterprise. By means of information ...

The purpose of this paper is to discuss the application of simulation optimization and data management in the development of the international freight forwarding industry and to develop an intelligent decision-making system based on simulation ...

Objects in memory stores are becoming industry solutions for high-availability applications. These systems routinely encounter the challenges of popularity skew and server failures, which result in severe load imbalance across servers and degraded I/O ...

The application of big data technology in the development of smart tourism is increasingly being promoted and impacting the development trend of the tourism industry in our lives. This paper deeply explores the practical application of big data in smart ...

The main idea of the VAR model is to represent time series data as a linear combination of several past moments, and predict future values through analysis of historical data.The application of VAR models is very extensive in the economic field, ...

Information extraction is pivotal in natural language processing, where the goal is to convert unstructured text into structured information. A significant challenge in this domain is the diversity and specific needs of various processing tasks. ...

Efficient multi-join query processing is crucial but remains a complex, ongoing challenge for high-performance data management systems (DBMSs). This paper studies the impact of different memory distribution techniques among join operators on different ...

There has been a growing demand for making modern cloud-based data analytics systems cost-effective and easy to use. AI-powered intelligent resource scaling is one such effort, aiming at automating scaling decisions for serverless offerings like Amazon ...

Federated learning (FL) has emerged as a new paradigm of machine learning (ML) with the goal of collaborative learning on the vast pool of private data available across distributed edge devices. The focus of most existing works in FL systems has been on ...

Storage disaggregation underlies today's cloud and is naturally complemented by pushing down some computation to storage, thus mitigating the potential network bottleneck between the storage and compute tiers. We show how ML training benefits from ...

Modular data centers (MDCs) that can be placed right at the energy farms and powered mostly by renewable energy, is a flexible and effective approach to lowering the carbon footprint of data centers. However, the main challenge of using renewable energy ...

Serverless computing promises scalability and cost-efficiency by decomposing monolithic tasks into small, stateless, self-contained functions. As functions only reserve hardware resources during their lifetime, and serverless providers such as Amazon ...

Incremental query evaluation is key to efficiently processing rapidly changing graph data. By focusing on the parts of the query results affected by updates, it avoids unnecessary computations, allowing for faster query evaluation. While this technique ...

Optimizing distributed protocols has traditionally been a real pain, requiring experts to figure out where improvements can be made, along with rigorous correctness proofs and meticulous implementation. This paper presents a theory to systematize this ...