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Cluster Computing

The Journal of Networks, Software Tools and Applications

Cluster Computing OnlineFirst articles

13.12.2018

Designing data cubes in OLAP systems: a decision makers’ requirements-based approach

Business Intelligence systems rely on an integrated, consistent, and certified information repository called the Data Warehouse (DW) that is periodically fed with operational data. In the decision-making process, the analyzed data are usually …

11.12.2018

Multi-objective constraint task scheduling algorithm for multi-core processors

A task scheduling algorithm is an effective means to ensure multi-core processor system efficiency. This paper defines the task scheduling problem for multi-core processors and proposes a multi-objective constraint task scheduling algorithm based …

06.12.2018

High-performance internet file system based on multi-download for convergence computing in mobile communication systems

This paper proposes the Enhanced Internet File System (EIFS), of which the structure consists of a data manager, disk cache, and multi-download module, to improve the performance of the Common Internet File System (CIFS) and presents an evaluation …

06.12.2018

Cost-efficient parallel processing of irregularly structured problems in cloud computing environments

In this paper, we deal with optimizing the monetary costs of executing parallel applications in cloud-based environments. Specifically, we investigate on how scalability characteristics of parallel applications impact the total costs of …

04.12.2018

Optimal dimensions for multi-deep storage systems under class-based storage policies

Multi-deep automated storage and retrieval systems (AS/RSs) have seen many implementations in warehouses due to their high floor space utilization. However, the rack size, which will fundamentally affect the operating efficiency of the storage and …

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Über diese Zeitschrift

Cluster Computing addresses the latest results in these fields that support High Performance Distributed Computing (HPDC). In HPDC environments, parallel and/or distributed computing techniques are applied to the solution of computationally intensive applications across networks of computers. The journal represents an important source of information for the growing number of researchers, developers and users of HPDC environments.

Cluster Computing: the Journal of Networks, Software Tools and Applications provides a forum for presenting the latest research and technology in the fields of parallel processing, distributed computing systems and computer networks.

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