Monitoring network load for fuzzy scheduling of jobs submitted to clusters of workstations

Author(s):  
O. Kipersztok ◽  
J.C. Patterson
2018 ◽  
Vol 7 (3.27) ◽  
pp. 248
Author(s):  
Sreeleja N. Unnithan ◽  
S Bhavani

Checkpoint (CP) routing requires a procedure for heavy load and dynamic routing packets over a cluster network, by monitoring network load.  High traffic CP network does intense transactions by multiple applications and shares the information among the nodes in the network and delivers the same to the server. The Proposed work assigns time slots and each slot checks the path to send or migrate the data to manage the load and data accumulation between servers and if there arises any data loss it recovers from the previous node buffers.  Data rate and delay is checked by each link and adjust the data flow to various servers. Based on time, network state, incoming packet rates, server load, link-based migration is applied. It increases network packets receiving rates, and minimizes the delay in checkpoints.  


2013 ◽  
Vol 336-338 ◽  
pp. 2423-2427
Author(s):  
Guo Liang Zou ◽  
Jie Ai Han

On the basis of analysis of the existing ZigBee network routing strategy, to save network energy consumption and balance the network load, the paper proposed an energy-efficient improvements and applied it in the marine environment, designed a marine monitoring the Internet of Things with ZigBee wireless monitoring network, satellite communications and remote monitoring management in the integration. The strategy improved ZBR routing algorithm based on the cluster-tree algorithm and AODVjr algorithm. The improved strategy can reduce the routing overhead while fully consider the protection of low energy nodes, effectively reduce network energy consumption, balance the network load to maximize network lifetime.


2019 ◽  
Vol 41 (4) ◽  
pp. 85-102 ◽  
Author(s):  
A.V. Iatsyshyn ◽  
◽  
Yu. G. Kutsan ◽  
V.O. Artemchuk ◽  
I.P. Kameneva ◽  
...  

2017 ◽  
Author(s):  
Aram Abdulqadir ◽  
Mohammed Shukur
Keyword(s):  

Author(s):  
Sima Ajdar qizi Askerova

Monitoring of sea water condition is one of major requirements for carrying out the reliable ecological control of water environment. Monitoring networks contain such elements as sea buoys, beacons, etc. and are designated for measuringvarious hydrophysical parameters, including salinity of sea water. Development of specialized network and a separate buoy system for measuring thesea water salinity at different depths makes it possible to determine major regularities of processes of pollution and self-recovery of the sea waters. The article describes the scientific and methodological basics for development of this specialized network and questions of its optimal construction. It is well-known that at a depth of 30-45 m of the Caspian Sea salinity decreases and then at a depth of 45-60 m salinity is fully recovered. The mentioned changes of salinity at the relatively upper layer of sea waters is of special interest for studying the effect of ocean-going processes on the climate forming in the Caspian area. In terms of informativeness of measurements of surface waters salinity, the most informative is a layer ata 30-60 m depth, where inversion and recovery of salinity take place. It is shown that in most informative subrange of measurements, i. e. at a depth of 30-60 m optimization of regime of measurements complex should be carried out in order to increase the effectiveness of held researches. It is shown that at a depth of 35-50 m choice of the optimum regime of measurements makes it possible to obtain the maximum amount of information.


Author(s):  
Georgiana Grigoraș ◽  
Bogdan Urițescu

Abstract The aim of the study is to find the relationship between the land surface temperature and air temperature and to determine the hot spots in the urban area of Bucharest, the capital of Romania. The analysis was based on images from both moderate-resolution imaging spectroradiometer (MODIS), located on both Terra and Aqua platforms, as well as on data recorded by the four automatic weather stations existing in the endowment of The National Air Quality Monitoring Network, from the summer of 2017. Correlation coefficients between land surface temperature and air temperature were higher at night (0.8-0.87) and slightly lower during the day (0.71-0.77). After the validation of satellite data with in-situ temperature measurements, the hot spots in the metropolitan area of Bucharest were identified using Getis-Ord spatial statistics analysis. It has been achieved that the “very hot” areas are grouped in the center of the city and along the main traffic streets and dense residential areas. During the day the "very hot spots” represent 33.2% of the city's surface, and during the night 31.6%. The area where the mentioned spots persist, falls into the "very hot spot" category both day and night, it represents 27.1% of the city’s surface and it is mainly represented by the city center.


2019 ◽  
Vol 32 (3-4) ◽  
pp. 179-185
Author(s):  
Zhen-xuan Zou ◽  
◽  
Ming Zhang ◽  
Xu-dong He ◽  
Sheng-fa Lin ◽  
...  

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