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Distributing applications and service applications among cloud systems offer many potential benefits. However, implementing robust, efficient, and flexible distributed applications is more complex tha...
Scaling up machine-learning (ML), data mining (DM) and reasoning algorithms from Artificial Intelligence (AI) for massive datasets is a major technical challenge in the time of "Big Data". The past te...
Systems-of-Systems (SoS) have become increasingly complex and frequently used in highly distributed, dynamic, and even open environments. SoS refer to evolving software systems, where constituent syst...
Most of the focus in public cloud computing technology over the last 10 years has been on massive, centralized data centers with thousands or hundreds of thousands of servers. The data centers are typ...
Big Data Management is of relevant interest at now, and it can be considered as one of the most emerging research topics we deal with. In particular, the management of Big Data in distributed settings...
Many problems of recent interest in statistics and machine learning can be posed in the framework of convex optimization. Due to the explosion in size and complexity of modern datasets, it is increasi...
Machine learning and statistics with very large datasets is now a topic of widespread interest, both in academia and industry. Many such tasks can be posed as convex optimization problems, so algorith...
Pair Programming (PP) that has gained extensive focus within pedagogical and industrial environments is a programming practice in which two programmers use the same computer to work together on analys...
Optimal state information-based control policy for a distributed database system subject to server failures is considered. Fault-tolerance is made possible by the partitioned architecture of the syste...
With the increasing demand for distributed real-time systems, the need for programming tools and execution platforms useful in development of such application systems is widely recognized. This paper ...
As processing and time requirements of computer systems increase over the borders of single processor architectures, it is becoming more and more attractive to use distributed computing with additiona...
BAG is a distributed operating system designed for real-time applications which is run on a distributed real-time system. The heterogeneously distributed BAG system consists of nodes which have VME-bu...
Many types of distributed file systems have been in widespread use for more than a decade. One of key issues in their design is how to reduce the latency when accessing remote files, with the solution...
Optimistic methods of concurrency control are gaining popularity. This is especially true with the resurgence of mobile and distributed databases during the last decade, which inherently rely on optim...

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