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Scalable transactions across heterogeneous NoSQL key-value data stores

Akon Dey, Alan Fekete, Uwe Röhm
2013 Proceedings of the VLDB Endowment  
We propose a approach that gives multi-item transactions across heterogeneous data stores, using only a minimal set of features from each store such as single item consistency, conditional update, and  ...  Many cloud systems provide data stores with limited features, especially they may not provide transactions, or else restrict transactions to a single item.  ...  The CloudTPS [22] design uses data store access through a transaction manager split across multiple nodes into local transaction managers (LTM).  ... 
doi:10.14778/2536274.2536331 fatcat:pplqwu7wonfxvemyg6x6jsijsa

Warp: Lightweight Multi-Key Transactions for Key-Value Stores [article]

Robert Escriva, Bernard Wong, Emin Gün Sirer
2015 arXiv   pre-print
This paper presents a novel protocol for providing serializable transactions on top of a sharded data store.  ...  Traditional NoSQL systems scale by sharding data across multiple servers and by performing each operation on a small number of servers.  ...  While it is relatively easy to validate a transaction by comparing the values observed by the client to the latest values in the data store, it is considerably more difficult to order transactions across  ... 
arXiv:1509.07815v1 fatcat:7qtzzov42rhdlmmpzdxqanmzca

A Security and Performance Driven Architecture for Cloud Data Centers [article]

Muhamad Felemban, Anas Daghistani, Yahya Javeed, Jason Kobes, Arif Ghafoor
2020 arXiv   pre-print
In this article, we present a security and performance driven architecture for these centers that incorporates an intrusion management system for multi-tenant distributed transactional databases.  ...  The proposed architecture uses a novel data partitioning and placement scheme based on damage containment and communication cost of distributed transactions.  ...  One of the main challenges in designing transactional databases for CDCs is the partitioning and placement of tenants data across a cluster of data stores.  ... 
arXiv:2003.12598v1 fatcat:buf36ravargkrk3734wb3dgrxa

A Multi-key Transactions Model for NoSQL Cloud Database Systems

Adewole Ogunyadeka, Muhammad Younas, Hong Zhu, Arantza Aldea
2016 2016 IEEE Second International Conference on Big Data Computing Service and Applications (BigDataService)  
NoSQL cloud database systems are new types of databases that are built across thousands of cloud nodes and are capable of storing and processing Big Data.  ...  The strategy is to supplement current NoSQL architecture with an extra layer that manages transactions.  ...  Transactions are limited to within a group and G-Store cannot provide transactions across groups. Megastore [4] , uses entity groups formation similar to G-store.  ... 
doi:10.1109/bigdataservice.2016.32 dblp:conf/bigdataservice/OgunyadekaYZA16 fatcat:hylhsphzibg3hdz2inxjcmfu6q

Lightweight locking for main memory database systems

Kun Ren, Alexander Thomson, Daniel J. Abadi
2012 Proceedings of the VLDB Endowment  
As more OLTP databases are stored mostly or entirely in memory, transactional throughput is less and less limited by disk IO, and lock managers increasingly become performance bottlenecks.  ...  We implement these protocols both in a traditional single-machine multi-core database server setting and in a distributed database where data is partitioned across many commodity machines in a shared-nothing  ...  In order to make use of multiple cores (and multiple machines), H-Store partitions data across cores and runs transactions serially in a single thread at each partition.  ... 
doi:10.14778/2535568.2448947 fatcat:vsror7ezere2xl4fzud7xyz4by

Bringing together content and data management systems: Challenges and opportunities

A. Somani, D. Choy, J. Kleewein
2002 IBM Systems Journal  
Transactional systems have their background in general ledger applications and business data management-managing and manipulating data electronically that would otherwise have been stored in a ledger or  ...  A data federation solution for a transactional system, such as the IBM DataJoiner* multidatabase server, is designed to search transactional data and federate across transaction systems ( Figure 3) .  ...  **Trademark or registered trademark of Transaction Processing Performance Council. Cited references and notes  ... 
doi:10.1147/sj.414.0686 fatcat:e3nf5shy45cslgtvfgv7njabx4

A Novel Approach For Transaction Management In Heterogeneous Distributed Database Systems

Mr. Dheeraj Bhimrao Lokhande, Prof. Dr.R.C.Thool
2016 Zenodo  
In this paper, we propose REST with Transactions, a transactional RESTful data access protocol and API that extends HTTP to provide multi-item transactional access to data and state information across  ...  The use of REST is growing with the inclusion of smart devices and the Internet of Things, within the scope of web information systems, along with large-scale distributed NoSQL data stores and other web-based  ...  using a transaction management service built into the data store.  ... 
doi:10.5281/zenodo.46993 fatcat:4vlys7elzbdlhb66mgvnmfo444

The Art of Handling Databases by Cloud Computing

R. Anandhi, K. Chitra
2014 Research Journal of Applied Sciences Engineering and Technology  
All upcoming technologies are almost trying to deal with only one concept "DATA" -how the data can be effectively stored, easily and accurately retrieved, efficiently distributed and queried etc.  ...  Transactional data management: The transaction workload is assumed to be made up of stored procedures.  ...  It discusses the data management facilities such as transaction data management and analytical data management.  ... 
doi:10.19026/rjaset.7.564 fatcat:j5l2shoyprc6pgn2fxb25hvonm

Database Implementation and Testing of Dynamic Credit Card Fraud Detection System

Anita Jog, Anjali Chandavale
2017 International Journal of Computer Applications  
These frauds include the transactions done either by stealing the physical card or using card data such as card number, expiry date and pin number.  ...  The system is designed using PL-SQL stored procedures and JAVA. The validation procedure and testing results are included in this paper.  ...  The different layers used are 1 ) data, 2) utility, 3) manager and 4 ) controller. Data layer stores following data types 1) Historical, 2 ) Transactional.  ... 
doi:10.5120/ijca2017914557 fatcat:zmzrlvv4svcrpecej2l4tptnle

Transaction Management Techniques and Practices in Current Cloud Computing Environments : A Survey

Ahmad Waqas, Abdul Waheed Mahessar, Nadeem Mahmood, Zeeshan Bhatti, Mostafa Karbasi, Asadullah Shah
2015 International Journal of Database Management Systems  
Distributed database management systems (DDBMs) have limited capacity to manage overhead of distributed transactions due to certain failures.  ...  We have also discussed transaction management (TM) in Gstore in detail and compared with other techniques and protocols used in current cloud based systems.  ...  This approach splits the transaction manager into any number of local transaction managers (LTMs) and to partitions the application data and the load of transaction processing across LTMs.  ... 
doi:10.5121/ijdms.2015.7104 fatcat:4bpzcl7yjzdrlkwthwr4u2rrbi

On the Design and Scalability of Distributed Shared-Data Databases

Simon Loesing, Markus Pilman, Thomas Etter, Donald Kossmann
2015 Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15  
The architecture is based on two fundamental principles: We decouple query processing and transaction management from data storage, and we share data across query processing nodes.  ...  To address this limitation, we introduce techniques for scalable transaction processing in shared-data environments.  ...  Hyder [7] is a transactional shared-data record manager. Records are stored in a log structure.  ... 
doi:10.1145/2723372.2751519 dblp:conf/sigmod/LoesingPEK15 fatcat:2725tmk5ebhzpitu43jn7kkewe

A Robust Fault-Tolerant and Scalable Cluster-wide Deduplication for Shared-Nothing Storage Systems [article]

Awais Khan, Chang-Gyu Lee, Prince Hamandawana, Sungyong Park, Youngjae Kim
2018 arXiv   pre-print
Further, deduplication introduces transactional changes, which are prone to errors in the event of a system failure, resulting in inconsistencies in data and deduplication metadata.  ...  In this paper, we propose a robust, fault-tolerant and scalable cluster-wide deduplication that can eliminate duplicate copies across the cluster.  ...  Figure 3 : 3 A complete write and read I/O transaction in cluster-wide data deduplication system. the I/O transaction completes, the consistency manager asynchronously updates the flag managed in CIT (  ... 
arXiv:1803.07722v1 fatcat:zl2v2k6rbbcklgxmw6zue5xc6m

Electronic Health Record System using Blockchain

Sangeetha R, Harshini B, Shanmugapriya A, Rajagopal T.K.P.
2019 International Research Journal of Multidisciplinary Technovation  
In the proposed all the information of the patient are stored in the blockchain by using the Metamask and these details are stored in the block chain as a blocks of data.  ...  The data is encrypted by the algorithm known as SHA-256 which is used to encrypt all the data of the patients into a single line 256 bit encrypted text which will be stored in the block at etherscan.  ...  Information is stored across a network of computers instead of on a single server, makes it very difficult for hackers to compromise the transaction data.  ... 
doi:10.34256/irjmt1927 fatcat:bl3gtnjqnvcyrine6l7637geyy

Applying aspect oriented programming to distributed storage metadata management

Dimple Kaul, Aniruddha Gokhale, Larry Dawson, Alan Tackett, Kelly McCauley
2007 Proceedings of the 2nd workshop on Best practices in applying aspect-oriented software development - BPAOSD '07  
These virtualization schemes must manage substantial amount of metadata to handle the data sets across the distributed storage.  ...  We describe how we have applied AspectJ to address these crosscutting concerns in metadata management for the L-store distributed storage framework.  ...  In L-Store there is significant sharing and storing of data across geographical distributed locations.  ... 
doi:10.1145/1229485.1229489 fatcat:uyv3cwjlonc5bcponpyyicqcba

S-Store

Ugur Cetintemel, Nesime Tatbul, Kristin Tufte, Hao Wang, Stanley Zdonik, Jiang Du, Tim Kraska, Samuel Madden, David Maier, John Meehan, Andrew Pavlo, Michael Stonebraker (+1 others)
2014 Proceedings of the VLDB Endowment  
S-Store is a data management system that combines OLTP transactions with stream processing.  ...  First-generation streaming systems did not pay much attention to state management via ACID transactions (e.g., [3, 4] ).  ...  This research was funded in part by the Intel Science and Technology Center for Big Data.  ... 
doi:10.14778/2733004.2733048 fatcat:nwuddvdtlrh37cuedyiurm2u6u
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