Non-relational databases (often termed as NoSQL) have recently emerged and have generated both interest and criticism. Interest because they address requirements that are very important in large-scale applications, criticism because of the comparison with well known relational achievements. One of the major problems often mentioned is the heterogeneity of the languages and the interfaces they o...

The promise of high scalability and availability has prompted many companies to replace traditional relational database management systems (RDBMS) with NoSQL key-value stores. This comes at the cost of relaxed consistency guarantees: key-value stores only guarantee eventual consistency in principle. In practice, however, many key-value stores seem to offer stronger consistency. Quantifying how ...

Rapid advances in high-throughput sequencing techniques have created interesting computational challenges in bioinformatics. One of them refers to management of massive amounts of data generated by automatic sequencers. We need to deal with the persistency of genomic data, particularly storing and analyzing these large-scale processed data. To find an alternative to the frequently considered re...

NoSQL Cloud data stores provide scalability and high availability properties for web applications, but do not support complex queries such as joins. Developers must therefore design their programs according to the peculiarities of NoSQL data stores rather than established software engineering practice. This results in complex and error-prone code, especially when it comes to subtle issues such ...

Individuals and companies have an increasing need for services by specialized suppliers in their homes or premises. These services can be quite different and can require different amounts of resources. Service suppliers have to specify the activities to be performed, plan those activities, allocate resources, follow up after their completion and must be able to react to any unexpected situation...

Researchers are now accessing millions of Online Social Network (OSN) interactions. These are available at no or low cost through Application Programming Interfaces (APIs) or data custodians including DataSift and GNIP. Records held in Extensible Markup Language (XML) or JavaScript Object Notation (JSON) are well structured but often inconveniently formatted for use in popular Relational Databa...

Resumo. Um fator fundamental na gerência de experimentos modelados como workflows científicos são seus dados de proveniência. Esses dados basicamente são usados para garantir a reprodutibilidade, porém nos últimos anos eles também vêm sendo usados para tarefas de monitoramento e escalonamento de atividades. Como essas tarefas demandam consultas em tempo real, conforme a quantidade de dados de p...

Bei der Verarbeitung und Auswertung von Big Data stoßen klassische relationale Datenbanken an ihre Grenzen. So ist die Speicherung von Daten im Multi-Terabyte-Bereich damit zwar möglich, aber in der Regel aufgrund der Lizenzund Speicherkosten unwirtschaftlich. Datenanalysen, bei denen große Datenbereiche gelesen werden müssen, erfordern darüber hinaus cluster-fähige Systeme für die Skalierung.