This master's thesis proposes a distributed key-value store based on replicated LSM trees. The main contributions are a high-performance data replication primitive that combines the ZAB protocol with LSM tree implementation, and a technique for changing replication group leaders prior to heavy compactions to improve write throughput by up to 60%. Evaluation shows the system outperforms Apache Cassandra and Oracle NoSQL. Future work includes adding elasticity and optimizing Zookeeper load balancing.
This document discusses several projects related to connecting research institutions through high-speed networks:
1) The Pacific Research Platform connects campuses in California through a "big data superhighway" funded by NSF from 2015-2020.
2) CHASE-CI adds machine learning capabilities for researchers across 10 campuses in California using NSF-funded GPU resources.
3) A pilot project is using CENIC and Internet2 to connect regional research networks on a national scale, funded by NSF from 2018-2019.
CENIC: Pacific Wave and PRP Update Big News for Big DataLarry Smarr
The document discusses the Pacific Wave exchange and Pacific Research Platform (PRP). It provides an overview of Pacific Wave, including its history and connectivity across the Pacific and western US. It then discusses how the PRP will build on infrastructure projects to create a high-speed "big data freeway" for science across California universities. This will allow researchers to more easily share and analyze large datasets for projects in areas like climate modeling, cancer genomics, astronomy and particle physics. Details are provided on specific science applications and datasets that will benefit from the enhanced connectivity of the PRP.
Peering The Pacific Research Platform With The Great Plains NetworkLarry Smarr
The Pacific Research Platform (PRP) connects research institutions across the western United States with high-speed networks to enable data-intensive science collaborations. Key points:
- The PRP connects 15 campuses across California and links to the Great Plains Network, allowing researchers to access remote supercomputers, share large datasets, and collaborate on projects like analyzing data from the Large Hadron Collider.
- The PRP utilizes Science DMZ architectures with dedicated data transfer nodes called FIONAs to achieve high-speed transfer of large files. Kubernetes is used to manage distributed storage and computing resources.
- Early applications include distributed climate modeling, wildfire science, plankton imaging, and cancer genomics. The PR
The Pacific Research Platform Enables Distributed Big-Data Machine-LearningLarry Smarr
The Pacific Research Platform enables distributed big data machine learning by connecting scientific instruments, sensors, and supercomputers across California and the United States with high-speed optical networks. Key components include FIONA data transfer nodes that allow fast disk-to-disk transfers near the theoretical maximum, Kubernetes to orchestrate distributed computing resources, and the Nautilus hypercluster which aggregates thousands of CPU cores and GPUs into a unified platform. This infrastructure has accelerated many scientific workflows and supported cutting-edge research in fields such as astronomy, oceanography, climate science, and particle physics.
Berkeley cloud computing meetup may 2020Larry Smarr
The Pacific Research Platform (PRP) is a high-bandwidth global private "cloud" connected to commercial clouds that provides researchers with distributed computing resources. It links Science DMZs at universities across California and beyond using a high-performance network. The PRP utilizes Data Transfer Nodes called FIONAs to transfer data at near full network speeds. It has adopted Kubernetes to orchestrate software containers across its resources. The PRP provides petabytes of distributed storage and hundreds of GPUs for machine learning. It allows researchers to perform data-intensive science across multiple universities much faster than possible individually.
Pacific Research Platform Science DriversLarry Smarr
The document discusses the vision and progress of the Pacific Research Platform (PRP) in creating a "big data freeway" across the West Coast to enable data-intensive science. It outlines how the PRP builds on previous NSF and DOE networking investments to provide dedicated high-performance computing resources, like GPU clusters and Jupyter hubs, connected by high-speed networks at multiple universities. Several science driver teams are highlighted, including particle physics, astronomy, microbiology, earth sciences, and visualization, that will leverage PRP resources for large-scale collaborative data analysis projects.
The Pacific Research Platform: Building a Distributed Big Data Machine Learni...Larry Smarr
This document summarizes Dr. Larry Smarr's invited talk about the Pacific Research Platform (PRP) given at the San Diego Supercomputer Center in April 2019. The PRP is building a distributed big data machine learning supercomputer by connecting high-performance computing and data resources across multiple universities in California and beyond using high-speed networks. It provides researchers with petascale computing power, distributed storage, and tools like Kubernetes to enable collaborative data-intensive science across institutions.
This document discusses several projects related to connecting research institutions through high-speed networks:
1) The Pacific Research Platform connects campuses in California through a "big data superhighway" funded by NSF from 2015-2020.
2) CHASE-CI adds machine learning capabilities for researchers across 10 campuses in California using NSF-funded GPU resources.
3) A pilot project is using CENIC and Internet2 to connect regional research networks on a national scale, funded by NSF from 2018-2019.
CENIC: Pacific Wave and PRP Update Big News for Big DataLarry Smarr
The document discusses the Pacific Wave exchange and Pacific Research Platform (PRP). It provides an overview of Pacific Wave, including its history and connectivity across the Pacific and western US. It then discusses how the PRP will build on infrastructure projects to create a high-speed "big data freeway" for science across California universities. This will allow researchers to more easily share and analyze large datasets for projects in areas like climate modeling, cancer genomics, astronomy and particle physics. Details are provided on specific science applications and datasets that will benefit from the enhanced connectivity of the PRP.
Peering The Pacific Research Platform With The Great Plains NetworkLarry Smarr
The Pacific Research Platform (PRP) connects research institutions across the western United States with high-speed networks to enable data-intensive science collaborations. Key points:
- The PRP connects 15 campuses across California and links to the Great Plains Network, allowing researchers to access remote supercomputers, share large datasets, and collaborate on projects like analyzing data from the Large Hadron Collider.
- The PRP utilizes Science DMZ architectures with dedicated data transfer nodes called FIONAs to achieve high-speed transfer of large files. Kubernetes is used to manage distributed storage and computing resources.
- Early applications include distributed climate modeling, wildfire science, plankton imaging, and cancer genomics. The PR
The Pacific Research Platform Enables Distributed Big-Data Machine-LearningLarry Smarr
The Pacific Research Platform enables distributed big data machine learning by connecting scientific instruments, sensors, and supercomputers across California and the United States with high-speed optical networks. Key components include FIONA data transfer nodes that allow fast disk-to-disk transfers near the theoretical maximum, Kubernetes to orchestrate distributed computing resources, and the Nautilus hypercluster which aggregates thousands of CPU cores and GPUs into a unified platform. This infrastructure has accelerated many scientific workflows and supported cutting-edge research in fields such as astronomy, oceanography, climate science, and particle physics.
Berkeley cloud computing meetup may 2020Larry Smarr
The Pacific Research Platform (PRP) is a high-bandwidth global private "cloud" connected to commercial clouds that provides researchers with distributed computing resources. It links Science DMZs at universities across California and beyond using a high-performance network. The PRP utilizes Data Transfer Nodes called FIONAs to transfer data at near full network speeds. It has adopted Kubernetes to orchestrate software containers across its resources. The PRP provides petabytes of distributed storage and hundreds of GPUs for machine learning. It allows researchers to perform data-intensive science across multiple universities much faster than possible individually.
Pacific Research Platform Science DriversLarry Smarr
The document discusses the vision and progress of the Pacific Research Platform (PRP) in creating a "big data freeway" across the West Coast to enable data-intensive science. It outlines how the PRP builds on previous NSF and DOE networking investments to provide dedicated high-performance computing resources, like GPU clusters and Jupyter hubs, connected by high-speed networks at multiple universities. Several science driver teams are highlighted, including particle physics, astronomy, microbiology, earth sciences, and visualization, that will leverage PRP resources for large-scale collaborative data analysis projects.
The Pacific Research Platform: Building a Distributed Big Data Machine Learni...Larry Smarr
This document summarizes Dr. Larry Smarr's invited talk about the Pacific Research Platform (PRP) given at the San Diego Supercomputer Center in April 2019. The PRP is building a distributed big data machine learning supercomputer by connecting high-performance computing and data resources across multiple universities in California and beyond using high-speed networks. It provides researchers with petascale computing power, distributed storage, and tools like Kubernetes to enable collaborative data-intensive science across institutions.
This document presents an agenda for discussing identity-based secure distributed data storage schemes. The agenda includes sections on an abstract, introduction, existing systems, objectives, proposed systems, literature survey, system requirements, system design including data flow diagrams and class diagrams, testing, results and performance evaluation, and conclusions. The introduction discusses cloud computing services models. The existing systems section discusses database-as-a-service and its disadvantages. The proposed systems would provide two identity-based secure distributed data storage schemes with properties like file-based access control and protection against collusion attacks.
This dissertation aims to explore the values of multi-agent systems (MAS) and demonstrate their benefits for IT projects. It discusses challenges that cause many projects to exceed time and budgets. The research methodology includes literature reviews, developing and evaluating a MAS using tools like INGENIAS and JADE, and analyzing case studies. Metrics are identified to measure agent qualities. Evaluation methods include theory-assisted and tool-assisted approaches. Results show MAS can help deliver projects on time and within budget but require an appropriate development approach rather than traditional object-oriented methods. A global solution is needed to address common MAS implementation issues.
Synopsis on cloud computing by Prashant uptaPrashant Gupta
This document provides an overview of cloud computing. It defines cloud computing as using shared computing resources over the internet rather than local servers or personal devices. The document outlines key aspects of cloud computing including cloud storage, architecture, types of clouds (public, private, hybrid), characteristics, advantages, and disadvantages. It concludes that cloud computing enables on-demand access to computing resources from any internet-connected device and is transforming how applications and businesses operate.
This document provides information about E2MATRIX, a company that offers readymade MTech thesis and thesis guidance services. It details the services offered, including topics in areas like cloud computing, data mining, and databases. Contact information and credentials of the company are also listed, along with the documentation and support provided to clients.
Following are some suggestions for future research. As GFRSCC technology is now being adopted in many countries throughout the world, in the absence of suitable
standardized test methods it is necessary to examine the existing test methods and identify or, when necessary, develop test methods suitable for acceptance as International Standards. Such test methods have to be capable of a rapid and reliable assessment of key
properties of fresh SCC on a construction site. At the same time, the testing equipment should be reliable, easily portable and inexpensive. The test procedure should be carried out by a single operator and the test results have to be interpreted with a minimum of training. Also, the results have to define and specify different GFRSCC mixes. One primary application of these test methods would be in verification of compliance on sites and in concrete production plants, if self- compacting concrete could be manufactured in large quantities..
This document is a technical seminar report on cloud computing submitted in partial fulfillment of a Bachelor of Engineering degree. It introduces cloud computing as a concept where computing resources such as servers, storage, databases and networking are provided as standardized services over the Internet. The document discusses the history, characteristics, implementation and economics of cloud computing and provides examples of major companies involved in cloud services.
Opening Keynote Lecture
15th Annual ON*VECTOR International Photonics Workshop
Calit2’s Qualcomm Institute
University of California, San Diego
February 29, 2016
The document discusses several US grid projects including campus and regional grids like Purdue and UCLA that provide tens of thousands of CPUs and petabytes of storage. It describes national grids like TeraGrid and Open Science Grid that provide over a petaflop of computing power through resource sharing agreements. It outlines specific communities and projects using these grids for sciences like high energy physics, astronomy, biosciences, and earthquake modeling through the Southern California Earthquake Center. Software providers and toolkits that enable these grids are also mentioned like Globus, Virtual Data Toolkit, and services like Introduce.
Pacific Wave and PRP Update Big News for Big DataLarry Smarr
The Pacific Research Platform (PRP) aims to create a "Big Data freeway system" across research institutions in the western United States and Pacific region by leveraging high-bandwidth optical fiber networks. The PRP connects multiple universities and national laboratories, providing bandwidth up to 100Gbps for data-intensive science applications. Initial testing of the PRP demonstrated disk-to-disk transfer speeds exceeding 5Gbps between many sites. The PRP will be expanded with SDN/SDX capabilities to enable even higher performance for large-scale datasets from fields like astronomy, genomics, and particle physics.
Cloud e-Genome: NGS Workflows on the Cloud Using e-Science CentralPaolo Missier
This document discusses moving whole exome sequencing pipelines to the cloud using e-Science Central workflow management. The goal is to process 3000 exomes from neurological patients in a scalable and cost-effective way. Current scripts are being ported to e-Science Central for improved abstraction, execution, and provenance tracking. Provenance will help compare results from different pipeline versions and support clinical diagnosis. Initial testing with 300 exomes will begin, with full scalability testing planned for September 2014.
The document describes the R User Conference 2014 which was held from June 30 to July 3 at UCLA in Los Angeles. The conference included tutorials on the first day covering topics like applied predictive modeling in R and graphical models. Keynote speeches and sessions were held on subsequent days covering various technical and statistical topics as well as best practices in R programming. Tutorials and sessions demonstrated tools and packages in R like dplyr and Shiny for data analysis and interactive visualizations.
The document provides an overview of the Pacific Research Platform (PRP) and discusses its role in connecting researchers across institutions and enabling new applications. It summarizes the PRP's key components like Science DMZs, Data Transfer Nodes (FIONAs), and use of Kubernetes for container management. Several examples are given of how the PRP facilitates high-performance distributed data analysis, access to remote supercomputers, and sensor networks coupled to real-time computing. Upcoming work on machine learning applications and expanding the PRP internationally is also outlined.
Introduction to Big Data and Semantic Web technologies for Big Data. I was presented at Intro Course "Big Data in Agriculture" http://wiki.agroknow.gr/agroknow/index.php/Athens_Green_Hackathon_2013
Automated Design Flow for Coarse-Grained Reconfigurable Platforms: an RVC-CAL...MDC_UNICA
pecialized hardware infrastructures for efficient multi-application runtime reconfigurable platforms require to address several issues. The higher is the system complexity, the more error prone and time consuming is the entire design flow. Moreover, system configuration along with resource management and mapping are challenging, especially when runtime adaptivity is required. In order to address these issues, the Reconfigurable Video Coding Group within the MPEG group has developed the MPEG RMC standards ISO/IEC 23001-4 and 23002-4, based on the dataflow Model of Computation. In this paper, we propose an integrated design flow, leveraging on Xronos, TURNUS, and the Multi-Dataflow Composer tool, capable of automatic synthesis and mapping of reconfigurable systems. In particular, an RVC MPEG-4 SP decoder and the RVC Intra MPEG-4 SP decoder have been implemented on the same coarse-grained reconfigurable platform, targeting a Xilinx Virtex 5 330 FPGA board. Results confirmed the potentiality of the approach, capable of completely preserving the single decoders functionality and of providing, in addition, considerable power/area benefits with respect to the parallel implementation of the considered decoders on the same platform.
Blue Waters and Resource Management - Now and in the Futureinside-BigData.com
In this presentation from Moabcon 2013, Bill Kramer from NCSA presents: Blue Waters and Resource Management - Now and in the Future.
Watch the video of this presentation: http://insidehpc.com/?p=36343
The Pacific Research Platform (PRP) is a multi-institutional cyberinfrastructure project that connects researchers across California and beyond to share large datasets. It spans the 10 University of California campuses, major private research universities, supercomputer centers, and some out-of-state universities. Fifteen multi-campus research teams in fields like physics, astronomy, earth sciences, biomedicine, and multimedia will drive the technical needs of the PRP over five years. The goal is to create a "big data freeway" to allow high-speed sharing of data between research labs, supercomputers, and repositories across multiple networks without performance loss over long distances.
This document presents an agenda for discussing identity-based secure distributed data storage schemes. The agenda includes sections on an abstract, introduction, existing systems, objectives, proposed systems, literature survey, system requirements, system design including data flow diagrams and class diagrams, testing, results and performance evaluation, and conclusions. The introduction discusses cloud computing services models. The existing systems section discusses database-as-a-service and its disadvantages. The proposed systems would provide two identity-based secure distributed data storage schemes with properties like file-based access control and protection against collusion attacks.
This dissertation aims to explore the values of multi-agent systems (MAS) and demonstrate their benefits for IT projects. It discusses challenges that cause many projects to exceed time and budgets. The research methodology includes literature reviews, developing and evaluating a MAS using tools like INGENIAS and JADE, and analyzing case studies. Metrics are identified to measure agent qualities. Evaluation methods include theory-assisted and tool-assisted approaches. Results show MAS can help deliver projects on time and within budget but require an appropriate development approach rather than traditional object-oriented methods. A global solution is needed to address common MAS implementation issues.
Synopsis on cloud computing by Prashant uptaPrashant Gupta
This document provides an overview of cloud computing. It defines cloud computing as using shared computing resources over the internet rather than local servers or personal devices. The document outlines key aspects of cloud computing including cloud storage, architecture, types of clouds (public, private, hybrid), characteristics, advantages, and disadvantages. It concludes that cloud computing enables on-demand access to computing resources from any internet-connected device and is transforming how applications and businesses operate.
This document provides information about E2MATRIX, a company that offers readymade MTech thesis and thesis guidance services. It details the services offered, including topics in areas like cloud computing, data mining, and databases. Contact information and credentials of the company are also listed, along with the documentation and support provided to clients.
Following are some suggestions for future research. As GFRSCC technology is now being adopted in many countries throughout the world, in the absence of suitable
standardized test methods it is necessary to examine the existing test methods and identify or, when necessary, develop test methods suitable for acceptance as International Standards. Such test methods have to be capable of a rapid and reliable assessment of key
properties of fresh SCC on a construction site. At the same time, the testing equipment should be reliable, easily portable and inexpensive. The test procedure should be carried out by a single operator and the test results have to be interpreted with a minimum of training. Also, the results have to define and specify different GFRSCC mixes. One primary application of these test methods would be in verification of compliance on sites and in concrete production plants, if self- compacting concrete could be manufactured in large quantities..
This document is a technical seminar report on cloud computing submitted in partial fulfillment of a Bachelor of Engineering degree. It introduces cloud computing as a concept where computing resources such as servers, storage, databases and networking are provided as standardized services over the Internet. The document discusses the history, characteristics, implementation and economics of cloud computing and provides examples of major companies involved in cloud services.
Opening Keynote Lecture
15th Annual ON*VECTOR International Photonics Workshop
Calit2’s Qualcomm Institute
University of California, San Diego
February 29, 2016
The document discusses several US grid projects including campus and regional grids like Purdue and UCLA that provide tens of thousands of CPUs and petabytes of storage. It describes national grids like TeraGrid and Open Science Grid that provide over a petaflop of computing power through resource sharing agreements. It outlines specific communities and projects using these grids for sciences like high energy physics, astronomy, biosciences, and earthquake modeling through the Southern California Earthquake Center. Software providers and toolkits that enable these grids are also mentioned like Globus, Virtual Data Toolkit, and services like Introduce.
Pacific Wave and PRP Update Big News for Big DataLarry Smarr
The Pacific Research Platform (PRP) aims to create a "Big Data freeway system" across research institutions in the western United States and Pacific region by leveraging high-bandwidth optical fiber networks. The PRP connects multiple universities and national laboratories, providing bandwidth up to 100Gbps for data-intensive science applications. Initial testing of the PRP demonstrated disk-to-disk transfer speeds exceeding 5Gbps between many sites. The PRP will be expanded with SDN/SDX capabilities to enable even higher performance for large-scale datasets from fields like astronomy, genomics, and particle physics.
Cloud e-Genome: NGS Workflows on the Cloud Using e-Science CentralPaolo Missier
This document discusses moving whole exome sequencing pipelines to the cloud using e-Science Central workflow management. The goal is to process 3000 exomes from neurological patients in a scalable and cost-effective way. Current scripts are being ported to e-Science Central for improved abstraction, execution, and provenance tracking. Provenance will help compare results from different pipeline versions and support clinical diagnosis. Initial testing with 300 exomes will begin, with full scalability testing planned for September 2014.
The document describes the R User Conference 2014 which was held from June 30 to July 3 at UCLA in Los Angeles. The conference included tutorials on the first day covering topics like applied predictive modeling in R and graphical models. Keynote speeches and sessions were held on subsequent days covering various technical and statistical topics as well as best practices in R programming. Tutorials and sessions demonstrated tools and packages in R like dplyr and Shiny for data analysis and interactive visualizations.
The document provides an overview of the Pacific Research Platform (PRP) and discusses its role in connecting researchers across institutions and enabling new applications. It summarizes the PRP's key components like Science DMZs, Data Transfer Nodes (FIONAs), and use of Kubernetes for container management. Several examples are given of how the PRP facilitates high-performance distributed data analysis, access to remote supercomputers, and sensor networks coupled to real-time computing. Upcoming work on machine learning applications and expanding the PRP internationally is also outlined.
Introduction to Big Data and Semantic Web technologies for Big Data. I was presented at Intro Course "Big Data in Agriculture" http://wiki.agroknow.gr/agroknow/index.php/Athens_Green_Hackathon_2013
Automated Design Flow for Coarse-Grained Reconfigurable Platforms: an RVC-CAL...MDC_UNICA
pecialized hardware infrastructures for efficient multi-application runtime reconfigurable platforms require to address several issues. The higher is the system complexity, the more error prone and time consuming is the entire design flow. Moreover, system configuration along with resource management and mapping are challenging, especially when runtime adaptivity is required. In order to address these issues, the Reconfigurable Video Coding Group within the MPEG group has developed the MPEG RMC standards ISO/IEC 23001-4 and 23002-4, based on the dataflow Model of Computation. In this paper, we propose an integrated design flow, leveraging on Xronos, TURNUS, and the Multi-Dataflow Composer tool, capable of automatic synthesis and mapping of reconfigurable systems. In particular, an RVC MPEG-4 SP decoder and the RVC Intra MPEG-4 SP decoder have been implemented on the same coarse-grained reconfigurable platform, targeting a Xilinx Virtex 5 330 FPGA board. Results confirmed the potentiality of the approach, capable of completely preserving the single decoders functionality and of providing, in addition, considerable power/area benefits with respect to the parallel implementation of the considered decoders on the same platform.
Blue Waters and Resource Management - Now and in the Futureinside-BigData.com
In this presentation from Moabcon 2013, Bill Kramer from NCSA presents: Blue Waters and Resource Management - Now and in the Future.
Watch the video of this presentation: http://insidehpc.com/?p=36343
The Pacific Research Platform (PRP) is a multi-institutional cyberinfrastructure project that connects researchers across California and beyond to share large datasets. It spans the 10 University of California campuses, major private research universities, supercomputer centers, and some out-of-state universities. Fifteen multi-campus research teams in fields like physics, astronomy, earth sciences, biomedicine, and multimedia will drive the technical needs of the PRP over five years. The goal is to create a "big data freeway" to allow high-speed sharing of data between research labs, supercomputers, and repositories across multiple networks without performance loss over long distances.
EarthCube Monthly Community Webinar- Nov. 22, 2013EarthCube
This webinar features project overviews of all EarthCube Awards (Building Blocks, Research Coordination Networks, Conceptual Designs, and Test Governance), followed by a call for involvement, and a Q&A session.
Agenda:
EarthCube Awards – Project Overviews
1.. EarthCube Web Services (Building Block)
2. EC3: Earth-Centered Community for Cyberinfrastructure (RCN)
3. GeoSoft (Building Block)
4. Specifying and Implementing ODSIP (Building Block)
5. A Broker Framework for Next Generation Geoscience (BCube) (Building Block)
6. Integrating Discrete and Continuous Data (Building Block)
7. EAGER: Collaborative Research (Building Block)
8. A Cognitive Computer Infrastructure for Geoscience (Building Block)
9. Earth System Bridge (Building Block)
10. CINERGI – Community Inventory of EC Resources for Geoscience Interoperability (BB)
11. Building a Sediment Experimentalist Network (RCN)
12. C4P: Collaboration and Cyberinfrastructure for Paleogeosciences (RCN)
13. Developing a Data-Oriented Human-centric Enterprise for Architecture (CD)
14. Enterprise Architecture for Transformative Research and Collaboration (CD)
15. EC Test Enterprise Governance: An Agile Approach (Test Governance)
A Call for Involvement!
DSD-INT 2019 Modelling in DANUBIUS-RI-BellafioreDeltares
This document discusses modelling river-sea systems through the proposed DANUBIUS-RI initiative. It notes that river-sea systems are important due to factors like population concentrations, human activities, and climate change impacts. The DANUBIUS-RI would provide a modelling node to tackle issues in these environments through coordinated modelling efforts across Europe. The modelling node would develop integrated physical, chemical and ecological models to serve researchers and stakeholders, using standardized formats and expertise from various working groups.
OpenACC and Hackathons Monthly Highlights: April 2023OpenACC
Stay up-to-date on the latest news, research and resources. This month's edition covers the Open Hackathon Mentor Program, highlight from the recent UK National Hackathon, upcoming Open Hackathon and Bootcamp events, and more!
Positioning University of California Information Technology for the Future: S...Larry Smarr
05.02.15
Invited Talk
The Vice Chancellor of Research and Chief Information Officer Summit
“Information Technology Enabling Research at the University of California”
Title: Positioning University of California Information Technology for the Future: State, National, and International IT Infrastructure Trends and Directions
Oakland, CA
Creating a Big Data Machine Learning Platform in CaliforniaLarry Smarr
Big Data Tech Forum: Big Data Enabling Technologies and Applications
San Diego Chinese American Science and Engineering Association (SDCASEA)
Sanford Consortium
La Jolla, CA
December 2, 2017
Accelerating distributed joins in Apache Hive: Runtime filtering enhancementsPanagiotis Garefalakis
Apache Hive is an open-source relational database system that is widely adopted by several organizations for big data analytic workloads. It combines traditional MPP (massively parallel processing) techniques with more recent cloud computing concepts to achieve the increased scalability and high performance needed by modern data intensive applications. Even though it was originally tailored towards long running data warehousing queries, its architecture recently changed with the introduction of LLAP (Live Long and Process) layer. Instead of regular containers, LLAP utilizes long-running executors to exploit data sharing and caching possibilities within and across queries. Executors eliminate unnecessary disk IO overhead and thus reduce the latency of interactive BI (business intelligence) queries by orders of magnitude. However, as container startup cost and IO overhead is now minimized, the need to effectively utilize memory and CPU resources across long-running executors in the cluster is becoming increasingly essential. For instance, in a variety of production workloads, we noticed that the memory bandwidth of early decoding all table columns for every row, even when this row is dropped later on, is starting to overwhelm the performance of single query execution. In this talk, we focus on some of the optimizations we introduced in Hive 4.0 to increase CPU efficiency and save memory allocations. In particular, we describe the lazy decoding (or row-level filtering) and composite bloom-filters optimizations that greatly improve the performance of queries containing broadcast joins, reducing their runtime by up to 50%. Over several production and synthetic workloads, we show the benefit of the newly introduced optimizations as part of Cloudera’s cloud-native Data Warehouse engine. At the same time, the community can directly benefit from the presented features as are they 100% open-source!
Neptune: Scheduling Suspendable Tasks for Unified Stream/Batch ApplicationsPanagiotis Garefalakis
This document discusses Neptune, a framework for scheduling suspendable tasks for unified stream and batch applications. It introduces coroutines to implement suspendable tasks that can pause and resume efficiently. It also includes a pluggable scheduling layer that can satisfy the diverse latency and throughput requirements of stream and batch jobs through policies like prioritizing stream jobs. The implementation extends Spark to support suspendable tasks and job priorities, showing it can efficiently share resources while meeting latency goals for stream workloads.
Medea: Scheduling of Long Running Applications in Shared Production ClustersPanagiotis Garefalakis
MEDEA: Scheduling of Long Running Applications in Shared Production Clusters
EuroSys'18
https://lsds.doc.ic.ac.uk/sites/default/files/medea-eurosys18.pdf
- The document discusses a thesis presentation on bridging the gap between serving and analytics in scalable web applications.
- It outlines challenges with resource efficiency and isolation in typical web app designs that separate online and offline tasks.
- The presentation proposes an in-memory web objects model to express both serving and analytics logic as a single distributed dataflow graph to improve resource utilization while maintaining service level objectives.
This document summarizes work on strengthening consistency in the Cassandra distributed key-value store. The researchers replaced Cassandra's replication mechanism with strongly consistent alternatives like Oracle BDB to improve data consistency. They also implemented a new membership protocol to rapidly propagate changes to clients, replacing Cassandra's gossip-based approach. An initial implementation on a cluster of 6 Cassandra nodes showed performance comparable to Cassandra for Yahoo's YCSB benchmark. Future work involves further evaluation of scalability and availability and adding elasticity capabilities.
The document provides an overview of Nagios, an open source network monitoring software. It discusses storage management challenges, what Nagios is, and provides tutorial topics on how to start a Nagios server, write storage service monitoring code, monitor local and remote storage, and handle events. The tutorial covers installing and configuring Nagios, defining hosts and services, writing check commands, installing NRPE for remote monitoring, and using event handlers to automate responses. Additional Nagios resources are also listed.
The document discusses using a wireless sensor network to improve data center management operations. It aims to automatically determine server locations, notify administrators of location changes, and determine server status even if the network is down. The proposed solution uses an auto-configuring Zigbee wireless sensor network and the open-source Nagios distributed monitoring system extended with a wireless sensor plugin to integrate sensor data and correlate events. An evaluation in an office and data center environment found the system could accurately detect server movement and identify failures even during network partitions.
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) CurriculumMJDuyan
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 𝟏)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐄𝐏𝐏 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐍𝐚𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐒𝐜𝐨𝐩𝐞 𝐨𝐟 𝐚𝐧 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
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Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
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What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
Master presentation-21-7-2014
1. Master Thesis, 21 July 2014, University of Crete
A Distributed Key-Value Store based on
Replicated LSM-Trees
Panagiotis Garefalakis
Computer Science Department – University of Crete
2. 21 July 2014, University of Crete
Motivation
• This is the age of big data
• Distributed key value stores are key to analyzing
them
3. 21 July 2014, University of Crete
Motivation
• Companies such as Amazon and Google and open-
source communities such as Apache have proposed
several key-value stores
– Availability and fault tolerance through data replication
5. 21 July 2014, University of Crete
Data partitioning over LSM-Trees
6. 21 July 2014, University of Crete
Replication
Primary-Backup
replication
L
Zookeeper
F F
ZAB
Replication Group (RG)
…..
7. 21 July 2014, University of Crete
Replicated LSM-Trees
Primary-Backup
replication
L
F F
ZAB
Replication Group (RG)
SSTables
Write
#
Valu
e
#
#
Key
#
memtable
memorydisk
1 N2 3
…Commit log
flush
Compaction
LSM Trees
batch/
periodic
WAL
8. 21 July 2014, University of Crete
Replicated LSM-Trees
Primary-Backup
replication
L
Zookeeper
F F
ZAB
Replication Group (RG)
Apache Cassandra
SSTables
Write
#
Valu
e
#
#
Key
#
memtable
memorydisk
1 N2 3
…Commit log
flush
Compaction
LSM Trees
batch/
periodic
WAL
ACaZoo
9. 21 July 2014, University of Crete
Thesis Contributions
• A high performance data replication primitive:
– Combines the ZAB protocol with an implementation of LSM-Trees
– Key point: Replication of LSM-Tree WAL
• A novel technique that reduces the impact of LSM-Tree
compactions on write performance
– Changing leader prior to heavy compactions results to up to 60%
higher throughput
10. 21 July 2014, University of Crete
Data model
A18-v1 XYZ18-v2
cf2:col2-XYZ
B18-v3 foobar18-v1
row-6
cf1:col-B cf2:foobar
row-5
Foo18-v1
cf2:col-Foo
row-2
row-7
row-1
cf1:col-A
row-10
row-18 A18 - v1
Column Family 1 Column Family 2
Coordinates for a Cell: Row Key Column Family Name Column Qualifier Version
B18 - v3
Peter - v2
Bob - v1
Foo18-v1 XYZ18-v2
Mary - v1
foobar18 - v1
CF Prefix
11. 21 July 2014, University of Crete
Consistent Hashing
A18-v1 XYZ18-v2
cf2:col2-XYZ
B18-v3 foobar18-v1
row-6
cf1:col-B cf2:foobar
row-5
Foo18-v1
cf2:col-Foo
row-2
row-7
row-1
cf1:col-A
row-10
row-18 A18 - v1
Column Family 1 Column Family 2
Coordinates for a Cell: Row Key Column Family Name Column Qualifier Version
B18 - v3
Peter - v2
Bob - v1
Foo18-v1 XYZ18-v2
Mary - v1
foobar18 - v1
CF Prefix
md5
12. 21 July 2014, University of Crete
System Architecture
13. 21 July 2014, University of Crete
System Architecture Replication
14. 21 July 2014, University of Crete
RG leader switch policies
SSTables
1 N’2 3
…
Compaction
ACaZoo
L
F F
ZAB
Replication Group (RG)
SSTables
1 N’’2 3
Compaction
…
SSTables
1 N2 3
Compaction
…
High
Low
High
Low
#1: When to switch
High
Low
15. 21 July 2014, University of Crete
RG leader switch policies
SSTables
1 N’2 3
…
Compaction
ACaZoo
L
F F
ZAB
Replication Group (RG)
SSTables
1 N’’2 3
Compaction
…
SSTables
1 N2 3
Compaction
…
High
Low
High
Low
#1: When to switch
High
Low
Weighted Votes
#2: Whom to elect
Round Robin and Random policies
16. 21 July 2014, University of Crete
Evaluation
• OpenStack private Cloud
• VMs with 2 CPUs, 2 GB RAM and 20GB remotely mounted disk
• Software:
– Apache Cassandra version 2.0.1
– Apache Zookeeper version 3.4.5
– Oracle NoSQL version 2.1.54
• Benchmarks:
– YCSB version 0.1.4
– 1 KB accesses, 10 columns of 100 bytes cells
– three different operation mixes (100/0, 50/50, 0/100 reads/writes)
– # concurrent threads
– Postal version 0.72
– configurable message size
– # concurrent threads
17. 21 July 2014, University of Crete
Systems compared
• ACaZoo with/without RG leader changes
– Batch and Periodic
• Cassandra Quorum (2 out of 3 replicas)
– Batch and Periodic
• Cassandra Serial (extension of Paxos algorithm)
– Batch and Periodic
• Oracle NoSQL
– Absolute consistency
18. 21 July 2014, University of Crete
Impact of compaction
0
500
1000
1500
2000
2500
0 25 50 75 100 125 150 175 200
WriteThroughput(ops/100ms)
Time (sec)
Smoothed Average Throughput
0
500
1000
1500
2000
2500
0 25 50 75 100 125 150 175 2
WriteThroughput(ops/100ms)
Time (sec)
Smoothed Average Throughput
• YCSB 100% write workload, 64 Threads
ACaZoo without RG changes ACaZoo with RG changes
Memtable flush Leader electionCompaction
19. 21 July 2014, University of Crete
A deeper look into background activity
Count
(#)
Longest
(sec)
Average
(sec)
Total
(sec)
Compaction (RA) 11 78.44 17.96 197.64
Memtable flush (RA) 53 - - -
Garbage Collection (RA) 197 0.91 0.148 29.33
Compaction (RR) 12 72.65 15.94 191.39
Memtable flush (RR) 52 - - -
Garbage Collection (RR) 192 0.85 0.147 27.84
• YCSB 20min 100% write workload, 256 Threads
• RA : RG change random policy
• RR : RG round robin policy
20. 21 July 2014, University of Crete
Time correlation of compactions
across replicas
23% 13%
12%
21. 21 July 2014, University of Crete
Evaluation – 3 Node RG
25%
40%
22. 21 July 2014, University of Crete
Evaluation – 5 Node RG
60%
23. 21 July 2014, University of Crete
Application Performance: CassMail
ACaZoo ACaZoo ACaZoo
24. 21 July 2014, University of Crete
CassMail on a 3-node RG
50KB-500KB attachment 200KB-2MB attachment
30% 31%
25. 21 July 2014, University of Crete
CassMail on a 5-node RG
50KB-500KB attachment 200KB-2MB attachment
35%
42%
26. 21 July 2014, University of Crete
Thesis Contributions
• A high performance data replication primitive:
– Combines the ZAB protocol with an implementation of LSM-Trees
– Key point: Replication of LSM-Tree WAL
• A novel technique that reduces the impact of LSM-Tree
compactions on write performance
– Changing leader prior to heavy compactions results to up to 60%
higher throughput
27. 21 July 2014, University of Crete
Future Work
• Elasticity: stream a number of key ranges to a newly
joining RG.
• Further investigate the load balancing methodology
for Zookeeper watch notifications.
28. 21 July 2014, University of Crete
Thesis Publications
1. Panagiotis Garefalakis, Panagiotis Papadopoulos, and Kostas
Magoutis, “ACaZoo: A distributed key-value store based on
replicated LSM-trees.” in 33rd IEEE International Symposium
on Reliable Distributed Systems (SRDS), IEEE 2014.
2. Panagiotis Garefalakis, Panagiotis Papadopoulos, Ioannis
Manousakis, and Kostas Magoutis, “Strengthening consistency
in the Cassandra distributed key-value store.” in Distributed
Applications and Interoperable Systems (DAIS), Springer 2013.
29. 21 July 2014, University of Crete
Other Publications
1. Baryannis G., Garefalakis P., Kritikos K., Magoutis K.,
Papaioannou A., Plexousakis D., & Zeginis C.
“Lifecycle management of service-based applications on multi-
clouds: a research roadmap.” In Proceedings of the 2013
international workshop on Multi-cloud applications and federated
clouds. ACM, 2013.
2. Zeginis C., Kritikos K., Garefalakis P., Konsolaki K., Magoutis K.,
& Plexousakis D.
“Towards cross-layer monitoring of multi-cloud service-based
applications.” In Service-Oriented and Cloud Computing. Springer,
2013.
3. Garefalakis Panagiotis, and Kostas Magoutis.
"Improving Datacenter Operations Management using Wireless
Sensor Networks." Green Computing and Communications
(GreenCom), 2012 IEEE International Conference on. IEEE, 2012.
30. 21 July 2014, University of Crete
Email : pgaref@ics.forth.gr
31. 21 July 2014, University of Crete
RG Leader Failover
0
500
1000
1500
2000
2500
3000
0 5 10 15 20 25 30 35 40 45
Throughput(ops/100ms)
sec
0
500
1000
1500
2000
2500
0 4 8 12 16 20 24 28 32 36 40 44
Throughput(ops/100ms)
sec
• YCSB read-only 64 threads
• 1.19sec for client to notice
• 220ms for the RG to elect a new leader
• 970ms to propagate to the client through the CM
• 2 sec to establish connection
ACaZoo Oracle NoSQL
32. 21 July 2014, University of Crete
Backup - ArchitectureCassandra’s
33. 21 July 2014, University of Crete
Cassandra’s Architecture
34. 21 July 2014, University of Crete
Cassandra’s Architecture
35. 21 July 2014, University of Crete
Cassandra’s Architecture
2/3 Responses: {X,Y}
Need for reconciliation!
38. 21 July 2014, University of Crete
Benefit of client coordinated I/O
• Yahoo Cloud Serving Benchmark (YCSB).
– 4 threads and read 1 GB of Data
Throughput
(ops/sec)
Read latency
(average,
ms)
Read latency
(99 percentile,
ms
Original
Cassandra
317 3.1 4
Client
Coordinated I/O
412 2.3 3
39. 21 July 2014, University of Crete
CM load balancer
0
500
1000
1500
2000
2500
1 10 100 1000 10000
AverageLatency(ms)
# Threads
1 node
3 nodes
3 nodes balanced
Editor's Notes
Motivating this work
Ta teleutaia xronia ο όγκος των δεδομένων έχει αυξηθεί δραματικά.
Image of Key value stores…!!
Several companies.. A number of
eBay supports critical applications that need both real-time and analytics capabilities with the features of Cassandra.
Netflix increased the availability of member information and quality of data for its global streaming video service thanks to Cassandra.
Adobe relies on Cassandra to provide a highly scalable, low-latency database to support its distributed cache architecture.
Sas edeiksa pws einai h ulopoishs gia ena LSM dentro omws otan exw pollous komvous me mia ulopoihsh lsm se kathe komvo..
----- Meeting Notes (7/18/14 18:41) -----
Compaction is a problem
Cassandra no longer handles replication.
----- Meeting Notes (7/18/14 18:58) -----
An estiasoume ston leader, ola ta
----- Meeting Notes (7/18/14 18:58) -----
3 diaforetikes polites RR, RR kai antistrofos analoga tou Compacti
----- Meeting Notes (7/18/14 18:41) -----
Compaction is a problem
Focus on alternatives that exploit replication mechanisms.
This concludes my talk and I would be happy to take any questions
(a) 1.19 sec between the time the leader crashes until the client notices; (b) 2 sec until the client establishes a connection with the new leader and restores service. Interval (a) further breaks down into: (1) 220 ms for the RG to reconfigure (elect a new leader); (2) 970 ms to propagate the new-leader information (e.g., its IP address) to the client through the CM.
Cassandra works well with applications that share its relaxed semantics (such as customer carts in online stores).
Cassandra is not a good fit for more traditional applications requiring strong consistency.
All nodes in Cassandra are peers
No ordering guarantees, ad hoc synchronization mechanism, membership state to clients – gossip
If a replica misses a write, the row will be made consistent later via one of Cassandra’s built-in repair mechanisms: hinted handoff, read repair or anti-entropy node repairing eventually consistent
Cassandra works well with applications that share its relaxed semantics (such as customer carts in online stores).
Cassandra is not a good fit for more traditional applications requiring strong consistency.
All nodes in Cassandra are peers
No ordering guarantees, ad hoc synchronization mechanism, membership state to clients – gossip
If a replica misses a write, the row will be made consistent later via one of Cassandra’s built-in repair mechanisms: hinted handoff, read repair or anti-entropy node repairing eventually consistent
Cassandra works well with applications that share its relaxed semantics (such as customer carts in online stores).
Cassandra is not a good fit for more traditional applications requiring strong consistency.
All nodes in Cassandra are peers
No ordering guarantees, ad hoc synchronization mechanism, membership state to clients – gossip
If a replica misses a write, the row will be made consistent later via one of Cassandra’s built-in repair mechanisms: hinted handoff, read repair or anti-entropy node repairing eventually consistent
Cassandra works well with applications that share its relaxed semantics (such as customer carts in online stores).
Cassandra is not a good fit for more traditional applications requiring strong consistency.
All nodes in Cassandra are peers
No ordering guarantees, ad hoc synchronization mechanism, membership state to clients – gossip
If a replica misses a write, the row will be made consistent later via one of Cassandra’s built-in repair mechanisms: hinted handoff, read repair or anti-entropy node repairing eventually consistent