Relevant bibliographies by topics / Yahoo! Cloud Serving Benchmark

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters

Academic literature on the topic 'Yahoo! Cloud Serving Benchmark'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "Yahoo! Cloud Serving Benchmark"

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Osemwegie, Omoruyi, Kennedy Okokpujie, Nsikan Nkordeh, Charles Ndujiuba, Samuel John, and Uzairue Stanley. "Performance Benchmarking of Key-Value Store NoSQL Databases." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 6 (2018): 5333. http://dx.doi.org/10.11591/ijece.v8i6.pp5333-5341.

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<p>Increasing requirements for scalability and elasticity of data storage for web applications has made Not Structured Query Language NoSQL databases more invaluable to web developers. One of such NoSQL Database solutions is Redis. A budding alternative to Redis database is the SSDB database, which is also a key-value store but is disk-based. The aim of this research work is to benchmark both databases (Redis and SSDB) using the Yahoo Cloud Serving Benchmark (YCSB). YCSB is a platform that has been used to compare and benchmark similar NoSQL database systems. Both databases were given va
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Matallah, Houcine, Ghalem Belalem, and Karim Bouamrane. "Evaluation of NoSQL Databases." International Journal of Software Science and Computational Intelligence 12, no. 4 (2020): 71–91. http://dx.doi.org/10.4018/ijssci.2020100105.

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The explosion of the data quantities, which reflects the scaling of volumes, numbers, and types, has resulted in the development of new locations techniques and access to data. The final steps in this evolution have emerged new technologies: cloud computing and big data. The new requirements and the difficulties encountered in the management of data classified “big data” have emerged NoSQL and NewSQL systems. This paper develops a comparative study about the performance of six solutions NoSQL, employed by the important companies in the IT sector: MongoDB, Cassandra, HBase, Redis, Couchbase, an
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G. B., Pallavi, and P. Jayarekha. "An efficient resource sharing technique for multi-tenant databases." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 3 (2020): 3216. http://dx.doi.org/10.11591/ijece.v10i3.pp3216-3226.

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Multi-tenancy is one of the key components of cloud computing environment. Multi-tenant database system in SaaS (Software as a Service) has gained a lot of attention in academics, research and business arena. These database systems provide scalability and economic benefits for both cloud service providers and customers(organizations/companies referred as tenants) by sharing same resources and infrastructure in isolation of shared databases, network and computing resources with Service level agreement (SLA) compliances. In a multitenant scenario, active tenants compete for resources in order to
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Matallah, Houcine, Ghalem Belalem, and Karim Bouamrane. "Comparative Study Between the MySQL Relational Database and the MongoDB NoSQL Database." International Journal of Software Science and Computational Intelligence 13, no. 3 (2021): 38–63. http://dx.doi.org/10.4018/ijssci.2021070104.

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NoSQL databases are new architectures developed to remedy the various weaknesses that have affected relational databases in highly distributed systems such as cloud computing, social networks, electronic commerce. Several companies loyal to traditional relational SQL databases for several decades seek to switch to the new “NoSQL” databases to meet the new requirements related to the change of scale in data volumetry, the load increases, the diversity of types of data handled, and geographic distribution. This paper develops a comparative study in which the authors will evaluate the performance
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Almeida, Arthur Lorenzi, Vinícius Junqueira Schettino, Thiago Jesus Rodrigues Barbosa, Pedro Fernandes Freitas, Pedro Gabriel Silva Guimarães, and Wagner Arbex. "Relative Scalability of NoSQL Databases for Genotype Data Manipulation." Revista de Informática Teórica e Aplicada 25, no. 2 (2018): 93. http://dx.doi.org/10.22456/2175-2745.79334.

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Genotype data manipulation is one of the greatest challenges in bioinformatics and genomics mainly because of high dimensionality and unbalancing characteristics. These peculiarities explains why Relational Database Management Systems (RDBMSs), the "de facto" standard storage solution, have not been presented as the best tools for this kind of data. However, Big Data has been pushing the development of modern database systems that might be able to overcome RDBMSs deficiencies. In this context, we extended our previous works on the evaluation of relative performance among NoSQLs engines from di
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Ha, Minjong, and Sang-Hoon Kim. "InK: In-Kernel Key-Value Storage with Persistent Memory." Electronics 9, no. 11 (2020): 1913. http://dx.doi.org/10.3390/electronics9111913.

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Block-based storage devices exhibit different characteristics from main memory, and applications and systems have been optimized for a long time considering the characteristics in mind. However, emerging non-volatile memory technologies are about to change the situation. Persistent Memory (PM) provides a huge, persistent, and byte-addressable address space to the system, thereby enabling new opportunities for systems software. However, existing applications are usually apt to indirectly utilize PM as a storage device on top of file systems. This makes applications and file systems perform unne
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Cai, Tao, Fuli Chen, Qingjian He, Dejiao Niu, and Jie Wang. "The Matrix KV Storage System Based on NVM Devices." Micromachines 10, no. 5 (2019): 346. http://dx.doi.org/10.3390/mi10050346.

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The storage device based on Nonvolatile Memory (NVM devices) has high read/write speed and embedded processor. It is a useful way to improve the efficiency of Key-Value (KV) application. However it still has some limitations such as limited capacity, poorer computing power compared with CPU, and complex I/O system software. Thus it is not an effective way to construct KV storage system with NVM devices directly. We analyze the characteristics of NVM devices and demands of KV application to design the matrix KV storage system based on NVM Devices. The group collaboration management based on Blo
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Ye, Zhen, Yusheng Xu, Rong Huang, et al. "LASDU: A Large-Scale Aerial LiDAR Dataset for Semantic Labeling in Dense Urban Areas." ISPRS International Journal of Geo-Information 9, no. 7 (2020): 450. http://dx.doi.org/10.3390/ijgi9070450.

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The semantic labeling of the urban area is an essential but challenging task for a wide variety of applications such as mapping, navigation, and monitoring. The rapid advance in Light Detection and Ranging (LiDAR) systems provides this task with a possible solution using 3D point clouds, which are accessible, affordable, accurate, and applicable. Among all types of platforms, the airborne platform with LiDAR can serve as an efficient and effective tool for large-scale 3D mapping in the urban area. Against this background, a large number of algorithms and methods have been developed to fully ex
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G S, Smrithy, and Ramadoss Balakrishnan. "Automated Modeling of Real-Time Anomaly Detection using Non-Parametric Statistical technique for Data Streams in Cloud Environments." Journal of Communications Software and Systems 15, no. 3 (2019). http://dx.doi.org/10.24138/jcomss.v15i3.717.

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The main objective of online anomaly detection is to identify abnormal/unusual behavior such as network intrusions, malware infections, over utilized system resources due to design defects etc from real time data stream. Terrabytes of performance data generated in cloud data centers is a well accepted example of such data stream in real time. In this paper, we propose an online anomaly detection framework using non-parametric statistical technique in cloud data center. In order to determine the accuracy of the proposed work, we experiments it to data collected from RUBis cloud testbed and Yaho
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McCaskey, Alexander J., Zachary P. Parks, Jacek Jakowski, et al. "Quantum chemistry as a benchmark for near-term quantum computers." npj Quantum Information 5, no. 1 (2019). http://dx.doi.org/10.1038/s41534-019-0209-0.

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AbstractWe present a quantum chemistry benchmark for noisy intermediate-scale quantum computers that leverages the variational quantum eigensolver, active-space reduction, a reduced unitary coupled cluster ansatz, and reduced density purification as error mitigation. We demonstrate this benchmark using 4 of the available qubits on the 20-qubit IBM Tokyo and 16-qubit Rigetti Aspen processors via the simulation of alkali metal hydrides (NaH, KH, RbH), with accuracy of the computed ground state energy serving as the primary benchmark metric. We further parameterize this benchmark suite on the tri
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Dissertations / Theses on the topic "Yahoo! Cloud Serving Benchmark"

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Petera, Martin. "Srovnání distribuovaných "No-SQL" databází s důrazem na výkon a škálovatelnost." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-193233.

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This thesis deals with NoSQL database performance issue. The aim of the paper is to compare most common prototypes of distributed database systems with emphasis on performance and scalability. Yahoo! Cloud Serving Benchmark (YCSB) is used to accomplish the aforementioned aim. The YCSB tool allows performance testing through performance indicators like throughput or response time. It is followed by a thorough explanation of how to work with this tool, which gives readers an opportunity to test performance or do a performance comparison of other distributed database systems than of those describ
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Book chapters on the topic "Yahoo! Cloud Serving Benchmark"

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Astrova, Irina, Arne Koschel, Nils Wellermann, and Philip Klostermeyer. "Performance Benchmarking of NewSQL Databases with Yahoo Cloud Serving Benchmark." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63089-8_17.

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