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相关论文: Journey of Migrating Millions of Queries on The Cl…

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Cloud data lakes provide a modern solution for managing large volumes of data. The fundamental principle behind these systems is the separation of compute and storage layers. In this architecture, inexpensive cloud storage is utilized for…

数据库 · 计算机科学 2025-10-20 Gregory , Weintraub

Migrations of systems from on-site premises to the cloud has been a fundamental endeavor by many industrial institutions. A crucial component of such cloud migrations is the transition of databases to be hosted online. In this work, we…

数据库 · 计算机科学 2024-03-14 Ran Zmigrod , Salwa Alamir , Xiaomo Liu

Cloud computing has become increasingly popular. Many options of cloud deployments are available. Testing cloud performance would enable us to choose a cloud deployment based on the requirements. In this paper, we present an innovative…

性能 · 计算机科学 2015-09-03 Li Chen , Pooja Jain , Kingsum Chow , Emad Guirguis , Tony Wu

Much like on-premises systems, the natural choice for running database analytics workloads in the cloud is to provision a cluster of nodes to run a database instance. However, analytics workloads are often bursty or low volume, leaving…

数据库 · 计算机科学 2019-11-27 Matthew Perron , Raul Castro Fernandez , David DeWitt , Samuel Madden

Big data dictate their requirements to the hardware and software. Simple migration to the cloud data processing, while solving the problem of increasing computational capabilities, however creates some issues: the need to ensure the safety,…

分布式、并行与集群计算 · 计算机科学 2015-07-03 E. Nikulchev , E. Pluzhnik , D. Biryukov , O. Lukyanchikov , S. Payain

Moving existing legacy systems to cloud platforms is a difficult and high cost process that may involve technical and non-technical resources and challenges. There is evidence that the lack of understanding and preparedness of cloud…

软件工程 · 计算机科学 2020-04-23 Mahdi Fahmideh , Farhad Daneshgar , Ghassan Beydoun , Fethi Rabhi

It is now cost-effective to outsource large dataset and perform query over the cloud. However, in this scenario, there exist serious security and privacy issues that sensitive information contained in the dataset can be leaked. The most…

数据库 · 计算机科学 2020-02-25 Weiguo Wang , Hui Li , Yanguo Peng , Sourav S Bhowmick , Peng Chen , Xiaofeng Chen , Jiangtao Cui

Transactional cloud applications such as payment, booking, reservation systems, and complex business workflows are currently being rewritten for deployment in the cloud. This migration to the cloud is happening mainly for reasons of cost…

Cloud computing is a complex infrastructure of software, hardware, processing, and storage that is available as a service. Cloud computing offers immediate access to large numbers of the world's most sophisticated supercomputers and their…

密码学与安全 · 计算机科学 2013-03-07 Sugata Sanyal , Parthasarathy P. Iyer

Many applications from various disciplines are now required to analyze fast evolving big data in real time. Various approaches for incremental processing of queries have been proposed over the years. Traditional approaches rely on updating…

数据库 · 计算机科学 2019-02-05 Iman Elghandour , Ahmet Kara , Dan Olteanu , Stijn Vansummeren

Virtualization technology reduces cloud operational cost by increasing cloud resource utilization level. The incorporation of virtualization within cloud data centers can severely degrade cloud performance if not properly managed. Virtual…

分布式、并行与集群计算 · 计算机科学 2016-01-18 Misbah Liaqat , Shalini Ninoriya , Junaid Shuja , Raja Wasim Ahmad , Abdullah Gani

Moving mission-oriented enterprise applications to cloud environments is a major IT strategic task and requires a systematic approach. The foci of this paper are to review and examine existing cloud migration approaches from the process…

软件工程 · 计算机科学 2020-04-23 Mahdi Fahmideh , Graham Low , Ghassan Beydoun , Farhad Daneshgar

Query processing over big data is ubiquitous in modern clouds, where the system takes care of picking both the physical query execution plans and the resources needed to run those plans, using a cost-based query optimizer. A good cost…

数据库 · 计算机科学 2020-03-02 Tarique Siddiqui , Alekh Jindal , Shi Qiao , Hiren Patel , Wangchao le

Performance variability has been acknowledged as a problem for over a decade by cloud practitioners and performance engineers. Yet, our survey of top systems conferences reveals that the research community regularly disregards variability…

Over the past 40 years, database management systems (DBMSs) have evolved to provide a sophisticated variety of data management capabilities. At the same time, tools for managing queries over the data have remained relatively primitive. One…

数据库 · 计算机科学 2009-09-15 Nodira Khoussainova , Magda Balazinska , Wolfgang Gatterbauer , YongChul Kwon , Dan Suciu

Formulating efficient SQL queries requires several cycles of tuning and execution, particularly for inexperienced users. We examine methods that can accelerate and improve this interaction by providing insights about SQL queries prior to…

数据库 · 计算机科学 2020-02-24 Zainab Zolaktaf , Mostafa Milani , Rachel Pottinger

Cloud computing helps reduce costs, increase business agility and deploy solutions with a high return on investment for many types of applications, including data warehouses and on-line analytical processing. However, storing and…

数据库 · 计算机科学 2017-01-20 Varunya Attasena , Nouria Harbi , Jérôme Darmont

In the last decade, many business applications have moved into the cloud. In particular, the "database-as-a-service" paradigm has become mainstream. While existing multi-tenant data management systems focus on single-tenant query…

数据库 · 计算机科学 2017-03-14 Lucas Braun , Renato Marroquin , Kai-En Tsay , Donald Kossmann

Cloud computing has recently emerged as a key technology to provide individuals and companies with access to remote computing and storage infrastructures. In order to achieve highly-available yet high-performing services, cloud data stores…

分布式、并行与集群计算 · 计算机科学 2015-08-10 Álvaro García-Recuero , Sérgio Esteves , Luís Veiga

A common task in scientific computing is the derivation of data. This workflow extracts the most important information from large input data and stores it in smaller derived data objects. The derived data objects can then be used for…

分布式、并行与集群计算 · 计算机科学 2021-05-10 Tobias Wegner , Mario Lassnig , Peer Ueberholz , Christian Zeitnitz
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