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The pervasive availability of streaming data is driving interest in distributed Fast Data platforms for streaming applications. Such latency-sensitive applications need to respond to dynamism in the input rates and task behavior using…

分布式、并行与集群计算 · 计算机科学 2019-05-13 Anshu Shukla , Yogesh Simmhan

Over the last couple of years, "Cloud Computing" or "Elastic Computing" has emerged as a compelling and successful paradigm for internet scale computing. One of the major contributing factors to this success is the elasticity of resources.…

数据库 · 计算机科学 2010-08-24 Sudipto Das , Divyakant Agrawal , Amr El Abbadi

With the advent of cloud computing, organizations are nowadays able to react rapidly to changing demands for computational resources. Not only individual applications can be hosted on virtual cloud infrastructures, but also complete…

分布式、并行与集群计算 · 计算机科学 2017-08-21 Stefan Schulte , Christian Janiesch , Srikumar Venugopal , Ingo Weber , Philipp Hoenisch

In recent years, the Edge Computing (EC) paradigm has emerged as an enabling factor for developing technologies like the Internet of Things (IoT) and 5G networks, bridging the gap between Cloud Computing services and end-users, supporting…

机器学习 · 计算机科学 2022-01-19 Guilherme Cassales , Heitor Gomes , Albert Bifet , Bernhard Pfahringer , Hermes Senger

The growing adoption of distributed data processing frameworks in a wide diversity of application domains challenges end-to-end integration of properties like security, in particular when considering deployments in the context of…

分布式、并行与集群计算 · 计算机科学 2018-05-07 Aurélien Havet , Rafael Pires , Pascal Felber , Marcelo Pasin , Romain Rouvoy , Valerio Schiavoni

Many modern applications require the evaluation of analytical queries on large amounts of data. Such queries entail joins and heavy aggregations that often include user-defined functions (UDFs). The most efficient way to process these…

数据库 · 计算机科学 2015-01-07 Herald Kllapi , Panos Sakkos , Alex Delis , Dimitrios Gunopulos , Yannis Ioannidis

In recent years, there is an emerging trend that some computing services are moving from cloud to the edge of the networks. Compared to cloud computing, edge computing can provide services with faster response, lower expense, and more…

分布式、并行与集群计算 · 计算机科学 2020-06-30 Jinyue Song , Tianbo Gu , Yunjie Ge , Prasant Mohapatra

Data stream processing is an increasingly important topic due to the prevalence of smart devices and the demand for real-time analytics. Geo-distributed streaming systems, where cloud-based queries utilize data streams from multiple…

分布式、并行与集群计算 · 计算机科学 2022-11-22 Joel Wolfrath , Abhishek Chandra

Intel(r) Software Guard Extensions (SGX) was originally released on client platforms and later extended to single socket server platforms. As developers have become familiar with the capabilities of the technology, the applicability of this…

分布式、并行与集群计算 · 计算机科学 2025-07-14 Simon Johnson , Raghunandan Makaram , Amy Santoni , Vinnie Scarlata

Beyond point solutions, the vision of edge computing is to enable web services to deploy their edge functions in a multi-tenant infrastructure present at the edge of mobile networks. However, edge functions can be rendered useless because…

密码学与安全 · 计算机科学 2018-09-25 Ketan Bhardwaj , Ming-Wei Shih , Ada Gavrilovska , Taesoo Kim , Chengyu Song

An essential part of building a data-driven organization is the ability to handle and process continuous streams of data to discover actionable insights. The explosive growth of interconnected devices and the social Web has led to a large…

分布式、并行与集群计算 · 计算机科学 2019-07-23 Haruna Isah , Farhana Zulkernine

Encrypted databases have been studied for more than 10 years and are quickly emerging as a critical technology for the cloud. The current state of the art is to use property-preserving encrypting techniques (e.g., deterministic encryption)…

Whilst computational resources at the cloud edge can be leveraged to improve latency and reduce the costs of cloud services for a wide variety mobile, web, and IoT applications; such resources are naturally constrained. For distributed…

分布式、并行与集群计算 · 计算机科学 2019-12-20 Ben Blamey , Ida-Maria Sintorn , Andreas Hellander , Salman Toor

Medical data belongs to whom it produces it. In an increasing manner, this data is usually processed in unauthorized third-party clouds that should never have the opportunity to access it. Moreover, recent data protection regulations (e.g.,…

密码学与安全 · 计算机科学 2020-03-16 Carlos Segarra , Enric Muntané , Mathieu Lemay , Valerio Schiavoni , Ricard Delgado-Gonzalo

Trusted Execution Environments, such as Intel SGX, use hardware supports to ensure the confidentiality and integrity of applications against a compromised cloud system. However, side channels like access patterns remain for adversaries to…

密码学与安全 · 计算机科学 2023-08-15 AKM Mubashwir Alam , Justin Boyce , Keke Chen

The growth of cloud computing has revolutionized data processing and storage capacities to another levels of scalability and flexibility. But in the process, it has created a huge challenge of security, especially in terms of safeguarding…

密码学与安全 · 计算机科学 2025-11-07 Dhruv Deepak Agarwal , Aswani Kumar Cherukuri

With weather becoming more extreme both in terms of longer dry periods and more severe rain events, municipal water networks are increasingly under pressure. The effects include damages to the pipes, flash floods on the streets and combined…

分布式、并行与集群计算 · 计算机科学 2021-02-18 Felix Lorenz , Morgan Geldenhuys , Harald Sommer , Frauke Jakobs , Carsten Lüring , Volker Skwarek , Ilja Behnke , Lauritz Thamsen

Security and privacy concerns in computer systems have grown in importance with the ubiquity of connected devices. TEEs provide security guarantees based on cryptographic constructs built in hardware. Intel software guard extensions (SGX),…

密码学与安全 · 计算机科学 2020-03-12 Rafael Pereira Pires

With increasingly more computation being shifted to the edge of the network, monitoring of critical infrastructures, such as intermediate processing nodes in autonomous driving, is further complicated due to the typically…

分布式、并行与集群计算 · 计算机科学 2023-01-31 Dominik Scheinert , Babak Sistani Zadeh Aghdam , Soeren Becker , Odej Kao , Lauritz Thamsen

The growing deployment of sensors as part of Internet of Things (IoT) is generating thousands of event streams. Complex Event Processing (CEP) queries offer a useful paradigm for rapid decision-making over such data sources. While often…

分布式、并行与集群计算 · 计算机科学 2019-05-10 Rajrup Ghosh , Siva Prakash Reddy Komma , Yogesh Simmhan