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The feasibility of large-scale decentralized networks for local computations, as an alternative to big data systems that are often privacy-intrusive, expensive and serve exclusively corporate interests, is usually questioned by network dynamics such as node leaves, failures and rejoins in the network. This is especially the case when decentralized computations performed in a network, such as the estimation...
On-demand computing, Software-as-a-Service, Platform-as-a-Service, and in general Cloud Computing is currently the main approach by which both academic and commercial domains are delivering systems and content. Nevertheless there still remains a huge segment of legacy systems and application ranging from accounting and management information systems to scientific software based on classic desktop...
Big data applications that rely on relational databases gradually expose limitations on scalability and performance. In recent years, Hadoop ecosystem has been widely adopted as an evolving solution. This paper presents the migration of a legacy data analytics application in a provincial data center. The target platform follows "no one size fits all" method. Considering different workloads,...
The use of spreadsheets to implement Information Systems is widespread in industry. Scripting languages and ad-hoc frameworks (e.g., Visual Basic for Applications) for Rapid Application Development are often exploited by organizations to quickly develop Spreadsheets-based Information Systems for supporting the information management of their business processes. Maintenance tasks on these systems can...
Cloud data centers and virtualization are being highly considered for enterprises and industries. However, elastic fine-grained resource provision while ensuring performance and SLA guarantees for applications requires careful consideration of important and extremely challenging tradeoffs. In this paper, we present RPPS (Cloud Resource Prediction and Provisioning scheme), a scheme that automatically...
The energy cost of a typical data center is usually much higher than those standard office buildings. Inefficiency in energy management can thus hurt a company. Currently, there are many commercial software that emphasize how to measure and control the energy usage. However, most of these available packages are not able to accurately predict behaviors of various applications submitted to a data center...
Traditional models of migration assume that migrants move to places of greatest economic incentive, and are more likely to move when current economic conditions ‘push’ migrants from their origin. Although prospective income at a destination has been a major determining factor for migration in preexisting migration models, and distance between origin and destination is also a major consideration, we...
Agent-based simulation models provide a way to investigate social phenomena that complement existing social science methods. Recent advances in computing hardware such as the wide availability of multi-core CPUs and increased main memory capacities make it possible to investigate population-scale phenomena using commodity compute resources. This paper describes experiences made in the development...
Service-oriented systems mainly follow two principles for accessing data and invoking back end applications: Remote Procedure Calls and Message-Orientation. However, a number of researchers and practitioners have criticized these paradigms as too complex and rigid. Instead, Representational State Transfer (REST) architectural style has lately gained significant attention as an alternative means for...
Continuous queries are the more interesting class of data stream queries. The answer to a continuous query is continuously produced over time unless stopped artificially. During an executed continuous query, the run environment changes continuously, meanwhile some properties of data stream itself change too, such as input rate, selectivity of operators and execute time and so on. In order to adapt...
Constant and rapid changes in the market place have inevitably brought changes to business process including the long running process. When changes are mandatory or require retroactive compliance, it may be necessary to migrate existing running process instances to a new version model. Current dynamic instance adaptation approach requires each instance to adapt to the changes individually. To support...
Central to any legacy migration project is the translation of the data model. Decisions made here will have strong implications to the rest of the translation. Some legacy languages lack a structured data model, relying instead on explicit programmer control of the overlay of variables. In this paper we present our experience inferring a structured data model in such a language as part of a migration...
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