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International Journal of Distributed Computing and Technology Cover

International Journal of Distributed Computing and Technology

ISSN: 2455-7307

Publisher

Focus and Scope

About the Journal

International Journal of Distributed Computing and Technology [Applied(e)] is a peer-reviewed hybrid open-access journal launched in 2015 that accepts original research articles and review papers about the scope of the journal. The journal aims to create break free communication link between the research communities.

Focus and Scope

  • Decentralized computing: cloud computing, P2P decentralized computing protocol, decentralized reputation calculation,co-utile reputation,co-utile peer-to-peer decentralized computing, federated learning, outsourcing, decentralized mobile computing network, multi-robot systems operations, fully decentralized operations, complex collective computations, collective turns, collective harvesting, self-healing multi-robot systems, swarm robotics systems, algebraic operations, swarming paradigm, collective mapping, multiple robots, collective action, collective animal behaviors, novel collective computing framework, edge computing, basic computational tasks.

  • Distributed algorithmic mechanism design: algorithmic mechanism design, static load balancing, distributed systems, computational grids, large-scale computing problems, geographically distributed resources, resource allocation algorithm, protocol designing, game theory, Algorithm design and analysis, Load management, Cost accounting, Distributed computing, Grid computing, Protocols, Game theory, Large-scale systems, Resource management, Degradation.

  • Distributed cache: distributed cache management architecture, Internet traffic, Browser caches, World Wide Web, Internet applications, traffic volume, social networking, file hosting, video streaming sites, Web content, reliability problems, scaling problems, congested proxy servers, hierarchical architecture, distributed architecture, proxy cache server.

  • Distributed operating system: generic operating systems,system-aware timing analysis, static timing analysis, real-time operating systems, generically implemented services,system-context-specific knowledge, overly pessimistic analysis, SWAN, parametric source-level annotation language, analysis pessimism, real-world flight-control system, generically implemented system, timing analysis tools,system-wide, WCET analyses framework.

  • Parallel programming: high-level data-parallel programming, Promoter, scientific applications, parallel platform, flexible programming environment, hybrid system, two-level approach, flexible programming, language model, communication structures, programming model, runtime system. 

  • Distributed sensor networks: Target tracking, Wireless application protocol, Wireless sensor networks, Clustering algorithms, Distributed computing, Spine, Computer networks, Concurrent computing, Partitioning algorithms, Trajectory, Wireless sensor networks, Event detection, Robot kinematic, Robot sensing systems, Partitioning algorithms, Computer networks, Distributed computing, Interference, Surveillance, Target tracking.

  • Optical computing: byte-based computing functions, LDPC coding, Galois field,all-optical FFT, Mach-Zehnder interferometer-based multiplier, XOR gates, SOA,all-optical linear block decoding,all-optical linear block encoding,all-optical error correction, PIC, photonic integrated circuits, optical processing, reliability issues, temperature sensitivity, O-E-O conversions, NOC, photonic networks-on-chips, optical transmission systems, parallel computing, optical communications, optical signal processing.