Journal articles: 'Redis'

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Manchale, Akshay. "Tug Grall On Redis." IEEE Software 38, no. 4 (July 2021): 130–32. http://dx.doi.org/10.1109/ms.2021.3073167.

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Vasavi, S., V.N. Priyanka G, and Anu A. Gokhale. "Framework for Visualization of GeoSpatial Query Processing by Integrating Redis With Spark." International Journal of Natural Computing Research 8, no. 3 (July 2019): 1–25. http://dx.doi.org/10.4018/ijncr.2019070101.

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Nowadays we are moving towards digitization and making all our devices produce a variety of data, this has paved the way to the emergence of NoSQL databases like Cassandra, MongoDB, and Redis. Big data such as geospatial data allows for geospatial analytics in applications such as tourism, marketing, and rural development. Spark frameworks provide operators storage and processing of distributed data. This article proposes “GeoRediSpark” to integrate Redis with Spark. Redis is a key-value store that uses an in-memory store, hence integrating Redis with Spark can extend the real-time processing of geospatial data. The article investigates storage and retrieval of the Redis built-in geospatial queries and has added two new geospatial operators, GeoWithin and GeoIntersect, to enhance the capabilities of Redis. Hashed indexing is used to improve the processing performance. A comparison on Redis metrics with three benchmark datasets is made. Hashset is used to display geographic data. The output of geospatial queries is visualized to the type of place and the nature of the query using Tableau.

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Tkachenko, Valerii, and Svetlana Lukianiuk. "Analysis of the use of the Redis in the distributed order processing system in the restaurant network." Technology audit and production reserves 5, no. 2(61) (September 23, 2021): 39–43. http://dx.doi.org/10.15587/2706-5448.2021.238460.

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The object of research is a distributed order processing system for a restaurant chain. The subject of the research is the analysis of the use of Redis for managing event queues in distributed systems. When implementing a distributed order processing system in a restaurant chain with a possible load of up to 20,000 users per day, the Redis system was used. Management of 9 distributed subsystems was organized through Redis. This solution showed an increase in the performance of the system under heavy load (from 50 transactions per second), but the response time of the system in some cases of its operation was longer than without using Redis. When working systems using Redis, it is necessary to take into account the amount of data with which Redis will work, since it does not exceed the amount of RAM, the absence of differentiation into users and groups, and the absence of a query language, which is replaced by a key-value scheme. This research is aimed at analyzing the operation of the system during trial operation under real load. We compared the operation of a configured system with Redis enabled and disabled. The main indicators for the analysis were the system response time and the maximum request execution time. The research was carried out for 2 weeks, the first week using the system settings with disabled Redis, the second – with enabled Redis. We selected 2 days with a similar load on the system to each other. Especially indicative are the results of comparing the durations of the longest queries, which show an almost constant value of the duration for the system in the mode of enabled Redis. The hypothesis of an increase in the system response time at low loads was confirmed, but this value not only leveled off at a load of 500 unique users but also became less at loads of 1000 unique users.

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Choi, Jae Mun, Doo Won Jeong, Jong Seong Yoon, and Sang Jin Lee. "Digital Forensics Investigation of Redis Database." KIPS Transactions on Computer and Communication Systems 5, no. 5 (May 31, 2016): 117–26. http://dx.doi.org/10.3745/ktccs.2016.5.5.117.

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Wyszomirski, Michał. "Analysis of the possibility of using key-value store NoSQL databases for IFC data processing in the BIM-GIS integration process." Polish Cartographical Review 54, no. 1 (January 1, 2022): 11–22. http://dx.doi.org/10.2478/pcr-2022-0002.

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Abstract The article discusses the possibility of using Redis key-value NoSQL database to process building data in different BIM-GIS integration solutions. Whichever data integration model is adopted, it will require an efficient serving of building data in Industry Foundation Classes (IFC) format. The author proposed a method of processing building data in the Redis database to support the process of feeding IFC data to his own concept of an integrated BIM-GIS database. However, other approaches to BIM-GIS integration, including the import of IFC data to CityGML, or the construction of an integrated BIM-GIS solution based on data integration at the application server level or client application in client-server environments, also require an efficient IFC data serving mechanism. This article describes three methods of storing IFC data in a Redis database using different data types and formats. The author conducted performance tests of the proposed methods in the processing of fourteen test BIM models. The article contains detailed results of the model processing tests in the Redis database.

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Zulfa, Mulki Indana, Ari Fadli, and Arief Wisnu Wardhana. "Application caching strategy based on in-memory using Redis server to accelerate relational data access." Jurnal Teknologi dan Sistem Komputer 8, no. 2 (March 20, 2020): 157–63. http://dx.doi.org/10.14710/jtsiskom.8.2.2020.157-163.

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Utilization of an in-memory database as a cache can overcome relational database latency problems in a web application, especially when using a lot of join queries. This study aims to model the academic relational data into Redis compatible data and analyze the performance of join queries usage to accelerate access to relational data managed by RDBMS. This study used academic data to calculate student GPA that is modeled in the RDBMS and Redis in-memory database (IMDB). The use of Redis as an in-memory database can significantly increase Mysql database system performance up to 3.3 times faster to display student data using join query and to shorten the time needed to display GPA data to 52 microseconds from 61 milliseconds.

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Kim, Chul-Ho, Kyeong-Won Park, and Yong-Lak Choi. "Web Service Performance Improvement with the Redis." Journal of the Korea Institute of Information and Communication Engineering 19, no. 9 (August 20, 2015): 2064–72. http://dx.doi.org/10.6109/jkiice.2015.19.9.2064.

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Kaur, Gurpreet, and Jatinder Kaur. "In-Memory Data processing using Redis Database." International Journal of Computer Applications 180, no. 25 (March 19, 2018): 26–31. http://dx.doi.org/10.5120/ijca2018916589.

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Zhang, Juan, and Yunwei Jia. "Redis rehash optimization based on machine learning." Journal of Physics: Conference Series 1453 (January 2020): 012048. http://dx.doi.org/10.1088/1742-6596/1453/1/012048.

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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 (December 1, 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 variable workloads to identify the throughput of all given operations. The results obtained shows that SSDB gives a better throughput for majority of operations to Redis’s performance.</p>

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Muradova, Gulara. "SECURITY OF PERSONAL MEDICAL DATA FOR THE REDIS CONCEPT." Problems of Information Technology 09, no. 2 (July 10, 2018): 62–68. http://dx.doi.org/10.25045/jpit.v09.i2.08.

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Boza, Edwin F., Xavier Andrade, Jorge Cedeno, Jorge Murillo, Harold Aragon, Cristina L. Abad, and Andres G. Abad. "On Implementing Autonomic Systems with a Serverless Computing Approach: The Case of Self-Partitioning Cloud Caches." Computers 9, no. 1 (February 26, 2020): 14. http://dx.doi.org/10.3390/computers9010014.

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The research community has made significant advances towards realizing self-tuning cloud caches; notwithstanding, existing products still require manual expert tuning to maximize performance. Cloud (software) caches are built to swiftly serve requests; thus, avoiding costly functionality additions not directly related to the request-serving control path is critical. We show that serverless computing cloud services can be leveraged to solve the complex optimization problems that arise during self-tuning loops and can be used to optimize cloud caches for free. To illustrate that our approach is feasible and useful, we implement SPREDS (Self-Partitioning REDiS), a modified version of Redis that optimizes memory management in the multi-instance Redis scenario. A cost analysis shows that the serverless computing approach can lead to significant cost savings: The cost of running the controller as a serverless microservice is 0.85% of the cost of the always-on alternative. Through this case study, we make a strong case for implementing the controller of autonomic systems using a serverless computing approach.

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Zhao, Wenze, Yajuan Du, Mingzhe Zhang, Mingyang Liu, Kailun Jin, and Rachata Ausavarungnirun. "Application-Oriented Data Migration to Accelerate In-Memory Database on Hybrid Memory." Micromachines 13, no. 1 (December 29, 2021): 52. http://dx.doi.org/10.3390/mi13010052.

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With the advantage of faster data access than traditional disks, in-memory database systems, such as Redis and Memcached, have been widely applied in data centers and embedded systems. The performance of in-memory database greatly depends on the access speed of memory. With the requirement of high bandwidth and low energy, die-stacked memory (e.g., High Bandwidth Memory (HBM)) has been developed to extend the channel number and width. However, the capacity of die-stacked memory is limited due to the interposer challenge. Thus, hybrid memory system with traditional Dynamic Random Access Memory (DRAM) and die-stacked memory emerges. Existing works have proposed to place and manage data on hybrid memory architecture in the view of hardware. This paper considers to manage in-memory database data in hybrid memory in the view of application. We first perform a preliminary study on the hotness distribution of client requests on Redis. From the results, we observe that most requests happen on a small portion of data objects in in-memory database. Then, we propose the Application-oriented Data Migration called ADM to accelerate in-memory database on hybrid memory. We design a hotness management method and two migration policies to migrate data into or out of HBM. We take Redis under comprehensive benchmarks as a case study for the proposed method. Through the experimental results, it is verified that our proposed method can effectively gain performance improvement and reduce energy consumption compared with existing Redis database.

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Jin, Min-Hwa, and Sang-Hyun Park. "Overhead Analysis of AOF Rewrite Method in Redis." Journal of Korean Institute of Information Technology 15, no. 3 (March 31, 2017): 1. http://dx.doi.org/10.14801/jkiit.2017.15.3.1.

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Malinowski, Artur. "USING REDIS SUPPORTED BY NVRAM IN HPC APPLICATIONS." Computer Science 18, no. 3 (2017): 290. http://dx.doi.org/10.7494/csci.2017.18.3.2077.

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Pan, Cheng, Xiaolin Wang, Yingwei Luo, and Zhenlin Wang. "Penalty- and Locality-aware Memory Allocation in Redis Using Enhanced AET." ACM Transactions on Storage 17, no. 2 (May 28, 2021): 1–45. http://dx.doi.org/10.1145/3447573.

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Due to large data volume and low latency requirements of modern web services, the use of an in-memory key-value (KV) cache often becomes an inevitable choice (e.g., Redis and Memcached). The in-memory cache holds hot data, reduces request latency, and alleviates the load on background databases. Inheriting from the traditional hardware cache design, many existing KV cache systems still use recency-based cache replacement algorithms, e.g., least recently used or its approximations. However, the diversity of miss penalty distinguishes a KV cache from a hardware cache. Inadequate consideration of penalty can substantially compromise space utilization and request service time. KV accesses also demonstrate locality, which needs to be coordinated with miss penalty to guide cache management. In this article, we first discuss how to enhance the existing cache model, the Average Eviction Time model, so that it can adapt to modeling a KV cache. After that, we apply the model to Redis and propose pRedis, Penalty- and Locality-aware Memory Allocation in Redis, which synthesizes data locality and miss penalty, in a quantitative manner, to guide memory allocation and replacement in Redis. At the same time, we also explore the diurnal behavior of a KV store and exploit long-term reuse. We replace the original passive eviction mechanism with an automatic dump/load mechanism, to smooth the transition between access peaks and valleys. Our evaluation shows that pRedis effectively reduces the average and tail access latency with minimal time and space overhead. For both real-world and synthetic workloads, our approach delivers an average of 14.0%∼52.3% latency reduction over a state-of-the-art penalty-aware cache management scheme, Hyperbolic Caching (HC), and shows more quantitative predictability of performance. Moreover, we can obtain even lower average latency (1.1%∼5.5%) when dynamically switching policies between pRedis and HC.

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Alraddadi, Safaa, and Sultan Almotairi. "Performance Evaluation for MongoDB and Redis: A Comparative Study." Journal of Engineering and Applied Sciences 14, no. 19 (October 31, 2019): 7218–22. http://dx.doi.org/10.36478/jeasci.2019.7218.7222.

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R, Abhinav, Abhinav Raman, and Abilash R. "Survey On Leveraging Django and Redis Using Web Scrapping." International Journal of Computer Trends and Technology 68, no. 4 (April 25, 2020): 54–58. http://dx.doi.org/10.14445/22312803/ijctt-v68i4p110.

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Li, Peng, Baozhou Luo, Wenjun Zhu, and He Xu. "Cluster-based distributed dynamic cuckoo filter system for Redis." International Journal of Parallel, Emergent and Distributed Systems 35, no. 3 (April 2, 2019): 340–53. http://dx.doi.org/10.1080/17445760.2019.1599889.

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Guo, Bo, Fu-Shin Lee, Chen-I. Lin, and Yun-Qing Lu. "A cloud integrated strategy for reconfigurable manufacturing systems." Concurrent Engineering 28, no. 4 (October 2, 2020): 305–18. http://dx.doi.org/10.1177/1063293x20958937.

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Manufacturing industries nowadays need to reconfigure their production lines promptly as to acclimate to rapid changing markets. Meanwhile, exercising system reconfigurations also needs to manage innumerous types of manufacturing apparatus involved. Nevertheless, traditional incompatible manufacturing systems delivered by exclusive vendors usually increase manufacture costs and prolong development time. This paper presents a novel RMS framework, which is intended to implement a Redis master/slave server mechanism to integrate various CNC manufacturing apparatus, hardware control means, and data exchange protocols through developed configurating codes. In the RMS framework each manufacturing apparatus or accessory stands for an object, and information of recognized CNC control panel image features, associated apparatus tuned parameters, communication formats, operation procedures, and control APIs, are stored into the Redis master cloud server database. Through implementation of machine vision techniques to acquire CNC controller panel images, the system effectively identifies instantaneous CNC machining states and response messages once the embedded image features are recognized. Upon demanding system reconfigurations for the manufacturing resources, the system issues commands from Redis local client servers to retrieve the stored information in the Redis master cloud servers, in which the resources for registered CNC machines, robots, and built-in accessories are maintained securely. The system then exploits the collected information locally to reconfigure involved manufacturing resources and starts manufacturing immediately, and thus is capable to promptly response to fast revised orders in a comitative market. In a prototyped RMS architecture, the proposed approach takes advantage of recognized feedback visual information, which is obtained using an invariant image feature extraction algorithm, and effectively commands an industrial robot to accomplish demanded actions on a CNC control panel, as a regular operator does daily in front of the CNC machine for manufacturing.

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Cai, Tao, Qingjian He, Dejiao Niu, Fuli Chen, Jie Wang, and Lei Li. "A New Embedded Key–Value Store for NVM Device Simulator." Micromachines 11, no. 12 (December 2, 2020): 1075. http://dx.doi.org/10.3390/mi11121075.

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The non-volatile memory (NVM) device is a useful way to solve the memory wall in computers. However, the current I/O software stack in operating systems becomes a performance bottleneck for applications based on NVM devices, especially for key–value stores. We analyzed the characteristics of key–value stores and NVM devices and designed a new embedded key–value store for an NVM device simulator named PMEKV. The embedded processor in NVM devices was used to manage key–value pairs to reduce the data transfer between NVM devices and key–value applications. Meanwhile, it also cut down the data copy between the user space and the kernel space in the operating system to alleviate the I/O software stacks on the efficiency of key–value stores. The architecture, data layout, management strategy, new interface and log strategy of PMEKV are given. Finally, a prototype of PMEKV was implemented based on PMEM. We used YCSB to test and compare it with Redis, MongDB, and Memcache. Meanwhile, the Redis for PMEM named PMEM-Redis and PMEM-KV were also used to test and compared with PMEKV. The results show that PMEKV had the advantage of throughput and adaptability compared with the current key–value stores.

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Liu, Qian. "A High Performance Memory Key-Value Database Based on Redis." Journal of Computers 14, no. 3 (2019): 170–83. http://dx.doi.org/10.17706/jcp.14.3.170-183.

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Park, Joonseok, and Seokju Chun. "Design of Web Application Framework Using REDIS for Class Management." Journal of Korea Association of Information Education 18, no. 3 (September 30, 2014): 381–90. http://dx.doi.org/10.14352/jkaie.2014.18.3.381.

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Chopade, Rupali, and Vinod Pachghare. "A data recovery technique for Redis using internal dictionary structure." Forensic Science International: Digital Investigation 38 (September 2021): 301218. http://dx.doi.org/10.1016/j.fsidi.2021.301218.

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Spal, Gurpreet Kaur. "Performance Evaluation of Redis and MongoDB Databases for Handling Semi-structured Data." International Journal for Research in Applied Science and Engineering Technology 6, no. 6 (June 30, 2018): 1255–60. http://dx.doi.org/10.22214/ijraset.2018.6184.

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Gade, Anne N., Tine S. Larsen, Søren B. Nissen, and Rasmus L. Jensen. "REDIS: A value-based decision support tool for renovation of building portfolios." Building and Environment 142 (September 2018): 107–18. http://dx.doi.org/10.1016/j.buildenv.2018.06.016.

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Sanka, Abdurrashid Ibrahim, Mehdi Hasan Chowdhury, and Ray C. C. Cheung. "Efficient High-Performance FPGA-Redis Hybrid NoSQL Caching System for Blockchain Scalability." Computer Communications 169 (March 2021): 81–91. http://dx.doi.org/10.1016/j.comcom.2021.01.017.

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Tu, Jing, Jiarui Zhang, Shengbing Chen, Thomas Weise, and Le Zou. "An Improved Retrieval Method for Multi-Transaction Mode Consortium Blockchain." Electronics 9, no. 2 (February 8, 2020): 296. http://dx.doi.org/10.3390/electronics9020296.

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The traditional method of blockchain retrieval is to search the “Block File” in sequence from the “tail” to the “head” of the blockchain, which always takes a lot of time. How to reduce the retrieval time has been a hot issue in blockchain research. This paper proposes a fast retrieval method for the Multi-Transaction Mode Consortium Blockchain (MTMCB). Firstly, we create a “User Set” and “Block Name Set” cached in Redis. Then, according to the transaction participants and “Block Name Set”, we can get the relevant “Block Name List”, and quickly obtain the corresponding block files. On this basis, in order to meet the needs of rapid retrieval in large-scale systems, an improved retrieval algorithm based on a B+-tree data structure is proposed. Firstly, the block file information is put into different ordered sets according to the transaction participants, and the B+-tree index is established to quickly get the information of relevant block files by participants. Experimental results show that the improved method of Redis cache retrieval in this paper can greatly increase the efficiency of blockchain retrieval, and can settle some crucial problem in the blockchain application and popularization.

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Qin, Jiwei, Liangli Ma, and Qing Liu. "DFTHR: A Distributed Framework for Trajectory Similarity Query Based on HBase and Redis." Information 10, no. 2 (February 24, 2019): 77. http://dx.doi.org/10.3390/info10020077.

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In recent years positioning sensors have become ubiquitous, and there has been tremendous growth in the amount of trajectory data. It is a huge challenge to efficiently store and query massive trajectory data. Among the typical operation over trajectories, similarity query is an important yet complicated operator. It is useful in navigation systems, transportation optimizations, and so on. However, most existing studies have focused on handling the problem on a centralized system, while with a single machine it is difficult to satisfy the storage and processing requirements of mass data. A distributed framework for the similarity query of massive trajectory data is urgently needed. In this research, we propose DFTHR (distributed framework based on HBase and Redis) to support the similarity query using Hausdorff distance. DFTHR utilizes a segment-based data model with a number of optimizations for storing, indexing and pruning to ensure efficient querying capability. Furthermore, it adopts a bulk-based method to alleviate the cost for adjusting partitions, so that the incremental dataset can be efficiently supported. Additionally, DFTHR introduces a co-location-based distributed strategy and a node-locality-based parallel query algorithm to reduce the inter-worker cost overhead. Experiments show that DFTHR significantly outperforms other schemes.

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Seo, Bomin, Byeong-soon Jang, Hyeung-seok Oh, and Hyun-ju Park. "RESTful, Redis Based API Server Platform Design for Automatic API Generation and Data Processing Performance." Journal of Korean Institute of Communications and Information Sciences 44, no. 5 (May 31, 2019): 895–903. http://dx.doi.org/10.7840/kics.2019.44.5.895.

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Stetsyk, Oleksii, and Svitlana Terenchuk. "COMPARATIVE ANALYSIS OF NOSQL DATABASES ARCHITECTURE." Management of Development of Complex Systems, no. 47 (September 27, 2021): 78–82. http://dx.doi.org/10.32347/2412-9933.2021.47.78-82.

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This article is devoted to the study of problematic issues due to the growing scale and requirements for modern high-load distributed systems. The relevance of the work is ensured by the fact that an important component of each such system is a database. The paper highlights the main problems associated with the use of relational databases in many high-load distributed systems. The main focus is on the study of such properties as data consistency, availability, and stability of the system. Basic information about the architecture and purpose of non-relational databases with a wide column, databases of key-value type, and document-oriented databases is provided. The advantages and disadvantages of non-relational databases of different types are shown, which are manifested in solving different problems depending on the purpose and features of the system. The choice of non-relational databases of different types for comparative analysis is substantiated. Databases such as Cassandra, Redis, and Mongo, which have long been used in high-load distributed systems and have already proven themselves among users, have been studied in detail. The main task addressed in this article was to find an answer to the question of the feasibility of using non-relational databases of the architecture of Cassandra, Redis, and Mongo depending on the characteristics of the system, or record information. Based on the analysis, options for using these databases for systems with a high number of requests to read or write information are proposed.

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Kusumohartono, Bugie. "Model Pertukaran Pada Masyarakat Nusantara Kuna Kajian (Pengujian) Arkeologis." Berkala Arkeologi 15, no. 3 (November 30, 1995): 105–10. http://dx.doi.org/10.30883/jba.v15i3.680.

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Pertukaran resiprokal adalah kewajiban memberi dan menerima di antara di antara individu yang berbeda hubungan sosialnya. Sementara itu yang disebut dengan pertukaran redistribusi berkaitan dengan kewajiban membayarkan barang dan jasa kepada pemuka masyarakat (misal: raja, kepala, pendeta), yang kemudian membagikan sebagian perolehannya baik untuk kepentingan umum maupun sebagai hadiah bagi seseorang. Di luar model pertukaran resiprokal dan redis-tribusi, masyarakat tradisional kemungkinan menerapkan model pertukaran pasar tradisional. Dalam system ini, para pelakunya tidak memiliki ikatan sosial tertentu yang mewajibkan mereka untuk melakukan pertukaran dan dimungkinkan adanya tawar-menawar di dalamnya.

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Petrov, Pavel, Georgi Dimitrov, and Oleksii Bychkov. "Real Time Big Data Analysis by Using Apache Kudu and NoSQL Redis in Web Applications." Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series 9, no. 1 (2020): 26–34. http://dx.doi.org/10.36997/ijusv-ess/2020.9.1.26.

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Kaur, Sawroop, and G. Geetha. "SIMHAR - Smart Distributed Web Crawler for the Hidden Web Using SIM+Hash and Redis Server." IEEE Access 8 (2020): 117582–92. http://dx.doi.org/10.1109/access.2020.3004756.

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Kronis, Kristiāns, and Marina Uhanova. "Performance Comparison of Java EE and ASP.NET Core Technologies for Web API Development." Applied Computer Systems 23, no. 1 (May 1, 2018): 37–44. http://dx.doi.org/10.2478/acss-2018-0005.

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Abstract The paper describes the implementation of organic benchmarks for Java EE and ASP.NET Core, which are used to compare the performance characteristics of the language runtimes. The benchmarks are created as REST services, which process data in the JSON format. The ASP.NET Core implementation utilises the Kestrel web server, while the Java EE implementation uses Apache TomEE, which is based on Apache Tomcat. A separate service is created for invoking the benchmarks and collecting their results. It uses Express with ES6 (for its async features), Redis and MySQL. A web-based interface for utilising this service and displaying the results is also created, using Angular 5.

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Lee, Jinsu, and Eunji Lee. "Concerto: Dynamic Processor Scaling for Distributed Data Systems with Replication." Applied Sciences 11, no. 12 (June 21, 2021): 5731. http://dx.doi.org/10.3390/app11125731.

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A surge of interest in data-intensive computing has led to a drastic increase in the demand for data centers. Given this growing popularity, data centers are becoming a primary contributor to the increased consumption of energy worldwide. To mitigate this problem, this paper revisits DVFS (Dynamic Voltage Frequency Scaling), a well-known technique to reduce the energy usage of processors, from the viewpoint of distributed systems. Distributed data systems typically adopt a replication facility to provide high availability and short latency. In this type of architecture, the replicas are maintained in an asynchronous manner, while the master synchronously operates via user requests. Based on this relaxation constraint of replica, we present a novel DVFS technique called Concerto, which intentionally scales down the frequency of processors operating for the replicas. This mechanism can achieve considerable energy savings without an increase in the user-perceived latency. We implemented Concerto on Redis 6.0.1, a commercial-level distributed key-value store, demonstrating that all associated performance issues were resolved. To prevent a delay in read queries assigned to the replicas, we offload the independent part of the read operation to the fast-running thread. We also empirically demonstrate that the decreased performance of the replica does not cause an increase of the replication lag because the inherent load unbalance between the master and replica hides the increased latency of the replica. Performance evaluations with micro and real-world benchmarks show that Redis saves 32% on average and up to 51% of energy with Concerto under various workloads, with minor performance losses in the replicas. Despite numerous studies of the energy saving in data centers, to the best of our best knowledge, Concerto is the first approach that considers clock-speed scaling at the aggregate level, exploiting heterogeneous performance constraints across data nodes.

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Rebello, Anthony, Yuvraj Patel, Ramnatthan Alagappan, Andrea C. Arpaci-Dusseau, and Remzi H. Arpaci-Dusseau. "Can Applications Recover from fsync Failures?" ACM Transactions on Storage 17, no. 2 (June 15, 2021): 1–30. http://dx.doi.org/10.1145/3450338.

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We analyze how file systems and modern data-intensive applications react to fsync failures. First, we characterize how three Linux file systems (ext4, XFS, Btrfs) behave in the presence of failures. We find commonalities across file systems (pages are always marked clean, certain block writes always lead to unavailability) as well as differences (page content and failure reporting is varied). Next, we study how five widely used applications (PostgreSQL, LMDB, LevelDB, SQLite, Redis) handle fsync failures. Our findings show that although applications use many failure-handling strategies, none are sufficient: fsync failures can cause catastrophic outcomes such as data loss and corruption. Our findings have strong implications for the design of file systems and applications that intend to provide strong durability guarantees.

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Chilán González, Ingrid, Francisco Bolaños Burgos, Navira Angulo Murillo, and Gabriel Rodolfo García Murillo. "ANÁLISIS DE ATAQUES RANSOMWARE EN SERVIDORES WEB, LINUX Y WINDOWS." UNESUM-Ciencias. Revista Científica Multidisciplinaria. ISSN 2602-8166 2, no. 3 (January 26, 2019): 89–100. http://dx.doi.org/10.47230/unesum-ciencias.v2.n3.2018.106.

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El presente trabajo realiza un análisis de revisión bibliográfica de ataques ransomware en Servidores Web basados en Sistemas Operativos Linux y Windows. Por ello se realizó un análisis comparativo de vulnerabilidad de los Servidores de aplicaciones JBoss, Apache y estructura de base de datos Redis. Los resultados evidencian que los ataques con mayor frecuencia están dirigidos a los Hospitales teniendo en cuenta que los cibercriminales suelen pedir entre $200 y $500 dólares para restaurar los archivos, para el caso del ransomware Samsam para Windows, el atacante interviene la red de la organización vía SSH se autentica al Servidor JBoos. A partir del estudio realizado se puede concluir con una matriz de análisis, de ataques ransomware de varias familias CTB-loker, SamSam, CryptoWall 4.0, Linux.Enconder y FairWare y un listado de herramientas de alerta temprana contra ataques ransomware visto que cifran los directorios de los Sitios Web, por ende permite plantear trabajos futuros de nuevos tipos de ransomware por medio de herramientas de simulación.PALABRAS CLAVE: Ransomware; Servidor Web; Linux; Windows.ANALYSIS OF RANSOMWARE ATTACKS ON WEB SERVERS, LINUX AND WINDOWSABSTRACTThe present work performs an analysis of bibliographic review of ransomware attacks in Web Servers based on Linux and Windows Operating Systems. Therefore, a comparative vulnerability analysis of the JBoss Application Servers, Apache and Redis database structure was carried out. The results show that the most frequent attacks are directed to Hospitals taking into account that cybercriminals usually request between $ 200 and $ 500 dollars to restore the files, for the Samsam for Windows ransomware case, the attacker intervenes the organization's network via SSH authenticates to the JBoos Server. From the study carried out it can be concluded with a matrix of analysis, ransomware attacks of several families CTB-loker, SamSam, CryptoWall 4.0, Linux. Enconder and FairWare and a list of tools for early warning against ransomware attacks seen that encrypt the directories of the Websites, therefore allows to propose future works of new types of ransomware by means of simulation tools.KEYWORDS: Ransomware; Web Server; Linux; Windows.

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Diogo, Miguel, Bruno Cabral, and Jorge Bernardino. "Consistency Models of NoSQL Databases." Future Internet 11, no. 2 (February 14, 2019): 43. http://dx.doi.org/10.3390/fi11020043.

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Internet has become so widespread that most popular websites are accessed by hundreds of millions of people on a daily basis. Monolithic architectures, which were frequently used in the past, were mostly composed of traditional relational database management systems, but quickly have become incapable of sustaining high data traffic very common these days. Meanwhile, NoSQL databases have emerged to provide some missing properties in relational databases like the schema-less design, horizontal scaling, and eventual consistency. This paper analyzes and compares the consistency model implementation on five popular NoSQL databases: Redis, Cassandra, MongoDB, Neo4j, and OrientDB. All of which offer at least eventual consistency, and some have the option of supporting strong consistency. However, imposing strong consistency will result in less availability when subject to network partition events.

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Kannan, Rajesh, and Dr R. Mala. "Analysis of Encryption Techniques to Enhance Secure Data Transmission." International Journal of Engineering and Computer Science 7, no. 09 (September 9, 2018): 24311–18. http://dx.doi.org/10.18535/ijecs/v7i9.04.

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with the rapid increase of technology, the data stored and transmitted among the client and server has been increased tremendously. In order to provide high security for the confidential data, there is a need for proper encryption techniques that are to be followed by the concerns. This paper presents an analysis of the various encryption algorithms and their performance on handling the private data with authentication, access control, secure configuration and data encryption. Document oriented databases such as MongoDB, Cassandra, CouchDB, Redis and Hypertable are compared on the basis of their security aspects since they manipulate the huge amount of unstructured data in their databases. It is proposed that each database has its own security breaches and emphasises the need for proper encryption methods to secure the data stored in them.

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Gallardo M., Sara. "Prospectiva de las competencias de TI, presente y futuro." Revista SISTEMAS, no. 160 (October 8, 2021): 38–53. http://dx.doi.org/10.29236/sistemas.n160a5.

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Las condiciones actuales generan una serie de interrogantes cargados de incertidumbre. De ahí la inminente necesidad de analizarlas, toda vez que, si la tecnología informática había sido siempre protagonista, ahora se posesiona con mayor altivez en cualquier ambiente del ser humano. Razón suficiente para que el foro de esta edición se ocupe de varios de los asuntos más relevantes, con el ánimo de suministrar herramientas útiles para quienes tienen la responsabilidad de formar los profesionales del presente y del futuro. Con tales propósitos asistieron al encuentro: Bernardo Vargas Gibsone, presidente de ISA; Abraham Martínez Fernández, director de Marketing and Operations en Microsoft Colombia; Oswaldo Castillo Navetti, presidente de Redis; Luis Alberto González Araujo, director ejecutivo de ACOFI; Rafael García Gómez, decano de la Facultad de Ingeniería del Politécnico y Ximena Duque Alzate, presidente de Fedesoft.

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Leone, Keven Leone dos Santos Keven, and Andrêza Leite de Alencar Andrêza Leite. "Aplicabilidade da Persistência Poliglota em Sistemas Potencialmente Escaláveis." Revista de Engenharia e Pesquisa Aplicada 5, no. 1 (April 26, 2020): 78–87. http://dx.doi.org/10.25286/repa.v5i1.1245.

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Introdução: Com o avanço da Tecnologia da informação o volume de dados gerado por sistemas que tem conectividade na Internet cresce exponencialmente. Para lidar esta crescente geração de informação, é preciso que os sistemas suportem essa capacidade de dados e melhorem distribuição de seus serviços. Tomando como exemplo as redes sociais, este é um ambiente que produz um grande volume de dados e estes dados podem ter ainda diferentes tipos, como: dados de geolocalização, sistema de recomendação, catálogo de produtos dentre outros. Objetivo: Este artigo tem como principal objetivo o desenvolvimento de uma aplicação utilizando a persistência poliglota, utilizando MongoDB, Redis, MYSQL como bases de dados. Metodologia: apresenta os passos necessários para desenvolvimento do estudo de caso, explicando o fluxo de atividades e entradas das etapas seguintes. Experimentos e Resultados: Foram criados experimentos para avaliar o uso de duas abordagens: modelo relacional e poliglota, observando o consumo de hardware e tempo gasto para execução dos experimentos em diferentes aspectos. Como vantagem de se utilizar a persistência poliglota pode-se destacar a velocidade na execução de operações de manipulação de dados e alta disponibilidade, e do relacional o baixo consumo de hardware e bom desempenho em algumas operações. Conclusões: Ambos os modelos citados tem grande valor no mercado de trabalho, são ferramentas indispensáveis para o armazenamento de dados, como toda migração de dados apresenta um risco real de perda de informações, é importante avaliar os riscos para viabilidade de se utilizar a persistência poliglota.

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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 (October 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, and OrientDB. To compare the performance of these NoSQL systems, the authors will use a very powerful tool called YCSB: Yahoo! Cloud Serving Benchmark. The contribution is to provide some answers to choose the appropriate NoSQL system for the type of data used and the type of processing performed on that data.

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Mao, Hongyan. "Information Processing Methods of Electronic Warfare Events Based on Communication Technology." Security and Communication Networks 2022 (January 4, 2022): 1–11. http://dx.doi.org/10.1155/2022/9309710.

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Traditional electronic countermeasure incident intelligence processing has problems such as low accuracy and stability and long processing time. A method of electronic countermeasure incident intelligence processing based on communication technology is proposed. First, use the integrated digital signal receiver to identify various modulation methods in the complex signal environment to facilitate the processing and transmission of communication signals, then establish an electronic countermeasure intelligence processing framework with Esper as the core, and flow the situation to the processing conclusion through the PROTOBUF interactive format Redis cache. The data can realize the intelligent processing of electronic countermeasure incidents. The experimental results show that the method proposed in this paper increases the recall rate by 5 to 20% compared with other methods. This method has high accuracy and stability for electronic countermeasure incident intelligence processing and can effectively shorten the time for electronic countermeasure incident intelligence processing.

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Kuang, Honggang, Zongjun Hu, Xiaobin Li, Chao Feng, Can Gong, Jian Yan, and Chang Shu. "Research on Design Method of Intelligent Operation and Maintenance System for Secondary Equipment in Intelligent Substation." Journal of Physics: Conference Series 2260, no. 1 (April 1, 2022): 012051. http://dx.doi.org/10.1088/1742-6596/2260/1/012051.

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Abstract Smart substations are an important part of establishing a strong smart grid. In view of the large variety of secondary equipment in the current power system, the rapid increase in quantity, and the complex working conditions of the current power supply company maintenance classes to inspect substations, a design method for the intelligent operation and maintenance system of secondary equipment in smart substations is proposed in this article. First, the intelligent operation and maintenance system architecture of the secondary equipment of the smart substation is established via Redis and ActiveMQ technologies. Then the system function module model is established. Finally, taking a 220kV substation in a certain area of southern China as an example, a new type of intelligent substation secondary equipment intelligent operation and maintenance system was installed and connected to the main line system, and the effectiveness of the proposed method was verified.

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Kim, Jinsul, Akm Ashiquzzaman, Van Quan Nguyen, and Sang Woo Kim. "Hybrid Mobile-App. on Multi-MEC Platforms in NFV Environment." International Journal of Engineering & Technology 7, no. 4.38 (December 3, 2018): 383. http://dx.doi.org/10.14419/ijet.v7i4.38.24587.

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In recent times, practicality of web applications has become more reliant upon big-data orientated materials such 4K videos, hi-def. resolution images, lossless audios and massive texts. Structured Query Languages (SQL) faces compatibility issues with large scale databases. Because of this data storage problem, NoSQL databases are used for storing big-data. NoSQL databases have been recently gaining traction with many options such MongoDB, CouchDB, Redis and Apache Cassandra. One of the major restrictions companies, enterprises and developers encounter during developing an application is multiplicative cost of building a native programing across different platforms. Besides, network Function Virtualization (NFV) plays a vital role for providing services for utilizing such applications in larger and more effective scale. Hence, in this paper, we discussed our main motivation behind selecting Iconic Framework, a hybrid system for rapid development real-time application based on Firebase in the NFV environment cooperating with Mobile Edge Computing (MEC). As a result, this approach provides comparatively flexible features.

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Ganesan, Aishwarya, Ramnatthan Alagappan, Andrea C. Arpaci-Dusseau, and Remzi H. Arpaci-Dusseau. "Strong and Efficient Consistency with Consistency-aware Durability." ACM Transactions on Storage 17, no. 1 (February 2, 2021): 1–27. http://dx.doi.org/10.1145/3423138.

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We introduce consistency-aware durability or C ad , a new approach to durability in distributed storage that enables strong consistency while delivering high performance. We demonstrate the efficacy of this approach by designing cross-client monotonic reads , a novel and strong consistency property that provides monotonic reads across failures and sessions in leader-based systems; such a property can be particularly beneficial in geo-distributed and edge-computing scenarios. We build O rca , a modified version of ZooKeeper that implements C ad and cross-client monotonic reads. We experimentally show that O rca provides strong consistency while closely matching the performance of weakly consistent ZooKeeper. Compared to strongly consistent ZooKeeper, O rca provides significantly higher throughput (1.8--3.3×) and notably reduces latency, sometimes by an order of magnitude in geo-distributed settings. We also implement C ad in Redis and show that the performance benefits are similar to that of C ad ’s implementation in ZooKeeper.

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Eyzenakh, Denis, Anton Rameykov, and Igor Nikiforov. "High Performance Distributed Web-Scraper." Proceedings of the Institute for System Programming of the RAS 33, no. 3 (2021): 87–100. http://dx.doi.org/10.15514/ispras-2021-33(3)-7.

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Over the past decade, the Internet has become the gigantic and richest source of data. The data is used for the extraction of knowledge by performing machine leaning analysis. In order to perform data mining of the web-information, the data should be extracted from the source and placed on analytical storage. This is the ETL-process. Different web-sources have different ways to access their data: either API over HTTP protocol or HTML source code parsing. The article is devoted to the approach of high-performance data extraction from sources that do not provide an API to access the data. Distinctive features of the proposed approach are: load balancing, two levels of data storage, and separating the process of downloading files from the process of scraping. The approach is implemented in the solution with the following technologies: Docker, Kubernetes, Scrapy, Python, MongoDB, Redis Cluster, and СephFS. The results of solution testing are described in this article as well.

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Yin, Yiyi, Yong Zhang, Zhengzheng Wei, and Xiang Zhao. "Study on real-time prediction model of railway passenger flow based on big data technology." MATEC Web of Conferences 355 (2022): 02025. http://dx.doi.org/10.1051/matecconf/202235502025.

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In order to solve the limitation of traditional offline forecasting application scenarios, the author uses a variety of big data open source frameworks and tools to combine with railway real-time data, and proposes a real-time prediction model of railway passenger flow. The model architecture is divided into four levels from bottom to top: data source layer, data transmission layer, prediction calculation layer and application layer. The main components of the model are data flow and prediction flow. Through message queue and ETL, the data process part realizes the synchronization of offline data and real-time data; through the big data technology frameworks such as Spark, Redis and Hive and the GBDT (Gradient Boosting Tree) algorithm, the prediction process partially realizes the real-time passenger flow of the train OD section prediction. The experimental results show that the model proposed by the author has certain practicability and accuracy both in performance and prediction accuracy.

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Ceylan, Oğuzhan, Mustafa Erdem Sezgin, Murat Göl, Maurizio Verga, Riccardo Lazzari, Marcel Pendieu Kwaye, and Carlo Sandroni. "Harmony Search Algorithm Based Management of Distributed Energy Resources and Storage Systems in Microgrids." Applied Sciences 10, no. 9 (May 7, 2020): 3252. http://dx.doi.org/10.3390/app10093252.

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Microgrids are composed of distributed energy resources (DERs), storage devices, electric vehicles, flexible loads and so on. They may either operate connected to the main electricity grid (on-grid operation) or separated from the grid (islanded operation). The outputs of the renewable energy sources may fluctuate and thus can cause deviations in the voltage magnitudes especially at islanded mode. This may affect the stability of the microgrids. This paper proposes an optimization model to efficiently manage controllable devices in microgrids aiming to minimize the voltage deviations both in on-grid and islanded operation modes. RSE Distributed Energy Resources Test Facility (DER-TF), which is a low voltage microgrid system in Italy, is used to verify the algorithm. The test system’s data is taken through an online software system (REDIS) and a harmony search based optimization algorithm is applied to control the device parameters. The experimental results show that the harmony search based optimization approach successfully finds the control parameters, and can help the system to obtain a better voltage profile.

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Journal articles on the topic 'Redis'

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