Data migration ≈ Data migration
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A Survey on Virtual Machine Migration: Challenges, Techniques, and Open Issues Open
When users flood in cloud data centers, how to efficiently manage hardware resources and virtual machines (VMs) in a data center to both lower economical cost and ensure a high service quality becomes an inevitable work for cloud providers…
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AN EFFICIENT SECURITY FRAMEWORK FOR DATA MIGRATION IN A CLOUD COMPUTING ENVIRONMENT Open
Cloud computing is advantageous in several applications. Data migration is constantly carried out to hybrid or public cloud. Certain large enterprises will not move their business-critical data and applications to the cloud. This is due to…
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Differentiated Service/Data Migration for Edge Services Leveraging Container Characteristics Open
The Multi-access Edge Computing (MEC) and Fog Computing paradigms are enabling the opportunity to have middleboxes either statically or dynamically deployed at network edges acting as local proxies with virtualized resources for supporting…
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Modeling temporal aspects of sensor data for MongoDB NoSQL database Open
Proliferation of structural, semi-structural and no-structural data, has challenged the scalability, flexibility and processability of the traditional relational database management systems (RDBMS). The next generation systems demand horiz…
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Evaluating cloud database migration options using workload models Open
A key challenge in porting enterprise software systems to the cloud is the migration of their database. Choosing a cloud provider and service option (e.g., a database-as-a-service or a manually configured set of virtual machines) typically…
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Opportunities and Challenges of Data Migration in Cloud Open
Cloud data migration is the process of moving data, localhost applications, services, and data to the distributed cloud processing framework. The success of this data migration measure is relying upon a few viewpoints like planning and imp…
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Intelligent Data Engineering for Migration to NoSQL Based Secure Environments Open
In an era of super computing, data is increasing exponentially requiring more proficiency from the available technologies of data storage, data processing, and analysis. Such continuous massive growth of structured and unstructured data is…
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Patterns for Blockchain Data Migration Open
With the rapid evolution of technological, economic, and regulatory\nlandscapes, contemporary blockchain platforms are all but certain to undergo\nmajor changes. Therefore, the applications that rely on them will eventually\nneed to migrat…
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Key Opportunities and Challenges of Data Migration in Cloud: Results from a Multivocal Literature Review Open
Cloud data migration is the procedure of moving information, localhost applications, services, and data to the distributed cloud computing infrastructure. The success of this data migration process is depending on several aspects like plan…
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Data Migration Methodology From Relational To Nosql Databases Open
Currently, the field of data migration is very topical. As the number of applications developed rapidly, the ever-increasing volume of data collected has driven the architectural migration from Relational Database Management System (RDBMS)…
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Container placement and migration strategies for cloud, fog, and edge data centers: A survey Open
Summary The last decade has witnessed important development of network softwarization that has revolutionized the practice of networks. Virtualized networks bring novel and specific requirements for the control and orchestration of contain…
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CCoDaMiC: A framework for Coherent Coordination of Data Migration and Computation platforms Open
The amount of data generated by millions of connected IoT sensors and devices is growing exponentially. The need to extract relevant information from this data in modern and future generation computing system, necessitates efficient data h…
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Data Migration Need, Strategy, Challenges, Methodology, Categories, Risks, Uses with Cloud Computing, and Improvements in Its Using with Cloud Using Suggested Proposed Model (DMig 1) Open
Data Migration is a multi-step process that begins with analyzing old data and culminates in data uploading and reconciliation in new applications. With the rapid growth of data, organizations constantly need to migrate data. Data migratio…
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Virtual Machine Migration Enabled Cloud Resource Management: A Challenging Task Open
Virtualization technology reduces cloud operational cost by increasing cloud resource utilization level. The incorporation of virtualization within cloud data centers can severely degrade cloud performance if not properly managed. Virtual …
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Virtual machines pre-copy live migration cost modeling and prediction: a survey Open
Live migration is an essential feature in virtual infrastructure and cloud computing datacenters. Using live migration, virtual machines can be online migrated from a physical machine to another with negligible service interruption. Load b…
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Big Data Migration between Data Centers in Online Cloud Environment Open
Big data has become one of the major areas of research for cloud service providers. Big data with its characteristics such as size, complexity etc. requires efficient methods for migration from one location to the geographically distant ot…
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Multiple migration – researching the multiple temporalities and spatialities of migration Open
This working paper introduces the multiple-migration concept as a tool enabling the study of the multiple temporalities and spatialities of migration. Against a sedentarised understanding of migration, multiple migrants are people who enga…
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Without Data Quality, There Is No Data Migration Open
Data migration is required to run data-intensive applications. Legacy data storage systems are not capable of accommodating the changing nature of data. In many companies, data migration projects fail because their importance and complexit…
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Local Storage-Based Consolidation With Resource Demand Prediction and Live Migration in Clouds Open
Server consolidation is a useful solution aiming at cost-efficiency and high resource utilization of data centers and clusters. Nowadays, as the data-intensive and I/O intensive applications are widely used, more attention is paid to the l…
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New Migration Data: Challenges and Opportunities Open
Migration is hard to measure due to the complexity of the phenomenon and the limitations of traditional data sources. The Digital Revolution has brought opportunities in terms of new data and new methodologies for migration research. Socia…
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Migration Multiple? Big Data, Knowledge Practices and the Governability of Migration Open
This chapter explores the big-data-based production of knowledge on migration. Following Mol (2002) and Scheel et al. (2019), it is analysed how migration and migrants are enacted through big-data-based research papers. The emerging sub-di…
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Self-adapting data migration in the context of schema evolution in NoSQL databases Open
When NoSQL database systems are used in an agile software development setting, data model changes occur frequently and thus, data is routinely stored in different versions. The management of versioned data leads to an overhead potentially …
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Performance Framework for Virtual Machine Migration in Cloud Computing Open
In the cloud environment, the transfer of data from one cloud server to another cloud server is called migration. Data can be delivered in various ways, from one data centre to another. This research aims to increase the migration performa…
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To Migrate or Not to Migrate: An Analysis of Operator Migration in Distributed Stream Processing Open
One of the most important issues in distributed data stream processing systems is using operator migration to handle highly variable workloads cost-efficiently and adapt to the needs at any given time on demand. Operator migration is a com…
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The <i>what</i> , The <i>from</i> , and The <i>to</i> : The Migration Games in Deduplicated Systems Open
Deduplication reduces the size of the data stored in large-scale storage systems by replacing duplicate data blocks with references to their unique copies. This creates dependencies between files that contain similar content and complicate…
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Reducing the number of migrated instances during business process change: A graph rewriting approach Open
Business processes (BPs) are subject to frequent and unpredictable changes caused by new laws or modifications in the business environment, including user requirements. Many running instances are migrated to new BPs during a BP change, eve…
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Migration from relational to NoSQL database Open
Data generated by various real time applications, social networking sites and sensor devices is of very huge amount and unstructured, which makes it difficult for Relational database management systems to handle the data. Data is very prec…
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Buffer-Aware Data Migration Scheme for Hybrid Storage Systems Open
Since solid-state drives (SSD) have high read speed, they are integrated into a traditional hard disk drive (HDD)-based storage systems for improving the overall performance. The data migration, which is responsible for moving the data bet…
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Modelling International Migration Flows by Integrating Multiple Data Sources Open
Migration has become a significant source of population change at the global level, with broad societal implications. Although understanding the drivers of migration is critical to enacting effective policies, theoretical advances in the s…
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Foundry: a message-oriented, horizontally scalable ETL system for scientific data integration and enhancement Open
Data generated by scientific research enables further advancement in science through reanalyses and pooling of data for novel analyses. With the increasing amounts of scientific data generated by biomedical research providing researchers w…