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Apolinar Velarde Martinez
The problem of scheduling parallel tasks graphs (PTGs) represented by directed acyclic graphs (DAGs) in heterogeneous distributed computing systems (HDCSs) is considered an nondeterministic polynomial time (NP) problem due to the diversity of characteris...
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Xu Wang, Bin Shi and Yili Fang
In recent years, the new computing paradigms such as serverless computing, edge computing and blockchain-based computing have attracted much attention in both academia and industrial communities. Distributed systems and applications play fundamental role...
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Min Thu Khaing,Sergey Lupin,Aung Thu
Pág. 30 - 36
Nowadays, distributed computing is one of the popular approaches that is widely used in research and development related to the use of resource-intensive applications. The available distributed computing systems are based on modern GRID technologies. The...
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Min Thu Khaing,Sergey Lupin,Aung Thu
Pág. 30 - 36
Nowadays, distributed computing is one of the popular approaches that is widely used in research and development related to the use of resource-intensive applications. The available distributed computing systems are based on modern GRID technologies. The...
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Qasem Kharma,Nidal M Turab,Qusai Shambour,Mohammad Hassan
Pág. pp. 44 - 60
Smart mobile devices and cloud computing are widely used today. While mobile and portable devices have different capabilities, architectures, operating systems, and communication channels than one another, government data are distributed over heterogeneo...
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Valentin Filatov, Valerii Semenets
Pág. 71 - 76
The subject matter of the study is the integration and management of information resources of distributed computing corporate systems within the common information space. The goal of the study is to develop scientifically based models for supporting inte...
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Antonios Makris, Ioannis Kontopoulos, Evangelos Psomakelis, Stylianos Nektarios Xyalis, Theodoros Theodoropoulos and Konstantinos Tserpes
Edge computing constitutes a promising paradigm of managing and processing the massive amounts of data generated by Internet of Things (IoT) devices. Data and computation are moved closer to the client, thus enabling latency- and bandwidth-sensitive appl...
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Diego Rodriguez, Diego Gomez, David Alvarez and Sergio Rivera
The power system expansion and the integration of technologies, such as renewable generation, distributed generation, high voltage direct current, and energy storage, have made power system simulation challenging in multiple applications. The current com...
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Hasan Tariq, Anas Tahir, Farid Touati, Mohammed Abdulla E. Al-Hitmi, Damiano Crescini and Adel Ben Manouer
In view of intensified disasters and fatalities caused by natural phenomena and geographical expansion, there is a pressing need for a more effective environment logging for a better management and urban planning. This paper proposes a novel utility comp...
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Alexander Feoktistov, Alexei Edelev, Andrei Tchernykh, Sergey Gorsky, Olga Basharina and Evgeniy Fereferov
Implementing high-performance computing (HPC) to solve problems in energy infrastructure resilience research in a heterogeneous environment based on an in-memory data grid (IMDG) presents a challenge to workflow management systems. Large-scale energy inf...
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Dadmehr Rahbari
In recent years, the increasing use of the Internet of Things (IoT) has generated excessive amounts of data. It is difficult to manage and control the volume of data used in cloud computing, and since cloud computing has problems with latency, lack of mo...
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Morteza Omidipoor, Ara Toomanian, Najmeh Neysani Samany and Ali Mansourian
The size, volume, variety, and velocity of geospatial data collected by geo-sensors, people, and organizations are increasing rapidly. Spatial Data Infrastructures (SDIs) are ongoing to facilitate the sharing of stored data in a distributed and homogeneo...
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