Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Load distribution in the heterogeneous computer network of the geoinformation system. / Shirobokov, Mikhail; Sevryukov, Sergey.
Proceedings of the 3rd International Conference on Applications in Information Technology, ICAIT 2018. ed. / Klyuev Vitaly; Pyshkin Evgeny; Natalia Bogach. Association for Computing Machinery, 2018. p. 102-105.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
}
TY - GEN
T1 - Load distribution in the heterogeneous computer network of the geoinformation system
AU - Shirobokov, Mikhail
AU - Sevryukov, Sergey
PY - 2018/11/1
Y1 - 2018/11/1
N2 - The problem of task scheduling is as old as grid computing and has been solved many times under different conditions. In this paper, we consider an algorithm for the task scheduling in the heterogeneous computer network of the geographical information system O-GIS, which includes dedicated data servers, central computing nodes, and end-user clients. Since some client devices in our network are also computing nodes, not only available computation power is considered as the influential factor, but also various network quality in incoming and outgoing communications of each node on computing grid. Using the specificity of raster computation, the original problem is formulated and its reducibility to the problem of mixed linear integer programming is shown. We also propose a method of deriving a feasible near-optimal solution without solving an NP-hard problem, which is used in O-GIS since we do not need an exact one as our network is not stable enough for the optimal solution to be significantly better in real-life cases.
AB - The problem of task scheduling is as old as grid computing and has been solved many times under different conditions. In this paper, we consider an algorithm for the task scheduling in the heterogeneous computer network of the geographical information system O-GIS, which includes dedicated data servers, central computing nodes, and end-user clients. Since some client devices in our network are also computing nodes, not only available computation power is considered as the influential factor, but also various network quality in incoming and outgoing communications of each node on computing grid. Using the specificity of raster computation, the original problem is formulated and its reducibility to the problem of mixed linear integer programming is shown. We also propose a method of deriving a feasible near-optimal solution without solving an NP-hard problem, which is used in O-GIS since we do not need an exact one as our network is not stable enough for the optimal solution to be significantly better in real-life cases.
KW - Algorithm
KW - Distributed computations
KW - Geoinformational system
UR - http://www.scopus.com/inward/record.url?scp=85058623547&partnerID=8YFLogxK
U2 - 10.1145/3274856.3274877
DO - 10.1145/3274856.3274877
M3 - Conference contribution
AN - SCOPUS:85058623547
SP - 102
EP - 105
BT - Proceedings of the 3rd International Conference on Applications in Information Technology, ICAIT 2018
A2 - Vitaly, Klyuev
A2 - Evgeny, Pyshkin
A2 - Bogach, Natalia
PB - Association for Computing Machinery
T2 - 3rd International Conference on Applications in Information Technology, ICAIT 2018
Y2 - 1 November 2018 through 3 November 2018
ER -
ID: 39141744