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As the capacity of Solid-State Drives (SSDs) is constantly being optimised and boosted with gradually reduced cost, the SSD cluster is now widely deployed as part of the hybrid storage system in various scenarios such as cloud computing and…

Performance · Computer Science 2023-03-24 Jiashu Wu , Yang Wang , Jinpeng Wang , Hekang Wang , Taorui Lin

Recently, we have been witnessing huge advancements in the scale of data we routinely generate and collect in pretty much everything we do, as well as our ability to exploit modern technologies to process, analyze and understand this data.…

Databases · Computer Science 2017-09-25 Radwa Elshawi , Sherif Sakr

Training and deploying deep learning models in real-world applications require processing large amounts of data. This is a challenging task when the amount of data grows to a hundred terabytes, or even, petabyte-scale. We introduce a hybrid…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-10-17 Davit Buniatyan

We present a comparative analysis of the maximum performance achieved by the Linpack benchmark on compute intensive hardware publicly available from multiple cloud providers. We study both performance within a single compute node, and…

Performance · Computer Science 2018-07-17 Mohammad Mohammadi , Timur Bazhirov

Scientific computing often requires the availability of a massive number of computers for performing large scale experiments. Traditionally, these needs have been addressed by using high-performance computing solutions and installed…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-15 Christian Vecchiola , Suraj Pandey , Rajkumar Buyya

The paradigm of big data is characterized by the need to collect and process data sets of great volume, arriving at the systems with great velocity, in a variety of formats. Spark is a widely used big data processing system that can be…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-12-29 Duarte M. Nascimento , Miguel Ferreira , Miguel L. Pardal

We investigate the feasibility of high performance scientific computation using cloud computers as an alternative to traditional computational tools. The availability of these large, virtualized pools of compute resources raises the…

Materials Science · Physics 2009-01-05 J. J. Rehr , J. P. Gardner , M. Prange , L. Svec , F. Vila

Cloud computing is the next generation computing. Adopting the cloud computing is like signing up new form of a website. The GUI which controls the cloud computing make is directly control the hardware resource and your application. The…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-03-09 N. Ajith Singh , M. Hemalatha

The CERN IT provides a set of Hadoop clusters featuring more than 5 PBytes of raw storage with different open-source, user-level tools available for analytical purposes. The CMS experiment started collecting a large set of computing…

Data Analysis, Statistics and Probability · Physics 2017-11-03 Marco Meoni , Valentin Kuznetsov , Luca Menichetti , Justinas Rumševičius , Tommaso Boccali , Daniele Bonacorsi

Cloud Computing holds the potential to eliminate the requirements for setting up of high-cost computing infrastructure for the IT-based solutions and services that the industry uses. It promises to provide a flexible IT architecture,…

Cryptography and Security · Computer Science 2013-05-22 Rohit Bhadauria , Rituparna Chaki , Nabendu Chaki , Sugata Sanyal

Cloud computing is an emerging platform of service computing designed for swift and dynamic delivery of assured computing resources. Cloud computing provide Service-Level Agreements (SLAs) for guaranteed uptime availability for enabling…

Software Engineering · Computer Science 2010-04-13 T. Vengattaraman , P. Dhavachelvan , R. Baskaran

We show that distributed Infrastructure-as-a-Service (IaaS) compute clouds can be effectively used for the analysis of high energy physics data. We have designed a distributed cloud system that works with any application using large input…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-01-04 R. J. Sobie , A. Agarwal , M. Anderson , P. Armstrong , K. Fransham , I. Gable , D. Harris , C. Leavett-Brown , M. Paterson , D. Penfold-Brown , M. Vliet , A. Charbonneau , R. Impey , W. Podaima

In this report we investigate the performance of Hadoop clusters, deployed with separated storage and compute layers, on top of a hypervisor managing a single physical host. We have analyzed and evaluated the different Hadoop cluster…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-11-17 Todor Ivanov , Roberto V. Zicari , Sead Izberovic , Karsten Tolle

Distributed Data Processing Platforms (e.g., Hadoop, Spark, and Flink) are widely used to store and process data in a cloud environment. These platforms distribute the storage and processing of data among the computing nodes of a cloud. The…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-12-08 Isuru Dharmadasa , Faheem Ullah

In cloud event processing, data generated at the edge is processed in real-time by cloud resources. Both distributed stream processing (DSP) and Function-as-a-Service (FaaS) have been proposed to implement such event processing…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-08-15 Tobias Pfandzelter , Sören Henning , Trever Schirmer , Wilhelm Hasselbring , David Bermbach

Containers improve the efficiency in application deployment and thus have been widely utilised on Cloud and lately in High Performance Computing (HPC) environments. Containers encapsulate complex programs with their dependencies in isolated…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-12-20 Naweiluo Zhou , Huan Zhou , Dennis Hoppe

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…

Cryptography and Security · Computer Science 2013-03-07 Sugata Sanyal , Parthasarathy P. Iyer

The parallel and distributed processing are becoming de facto industry standard, and a large part of the current research is targeted on how to make computing scalable and distributed, dynamically, without allocating the resources on…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-04-10 Rajendra Purohit , K R Chowdhary , S D Purohit

Cloud computing is an Internet-based computing, where shared resources, software and information, are provided to computers and devices on-demand. It provides people the way to share distributed resources and services that belong to…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-11-15 Pardeep Kumar , Vivek Kumar Sehgal , Durg Singh Chauhan , P. K. Gupta , Manoj Diwakar

Cloud Computing is a versatile technology that can support a broad-spectrum of applications. The low cost of cloud computing and its dynamic scaling renders it an innovation driver for small companies, particularly in the developing world.…

Computers and Society · Computer Science 2019-08-13 Ananga Thapaliya , Subham Chakraborty