Resource Management of Time-Critical Data Processing Systems

Author(s):  
LAWRENCE E. BERMAN ◽  
THOMAS J. HOLMES ◽  
KENNETH M. KESSLER
2021 ◽  
Vol 890 (1) ◽  
pp. 012051
Author(s):  
N Auliyah ◽  
F Rumagia ◽  
A Sinohaji ◽  
U Muawanah

Abstract The model of the skipjack tuna resource management that can provide maximum rent can be done with a clear ownership regime (sole owner) or in the condition of MEY balance. However, the management and utilization of skipjack tuna resources must also consider the factors that can result in overfishing of both biological and economics overfishing. This study aims to assess the management and utilization of skipjack tuna fisheries resources in North Gorontalo Regency using a bioeconomic approach. Data processing is done by approaching the bioeconomic model using skipjack tuna fisheries biological and economic parameters. The results showed that the maximum rent obtained in skipjack fisheries in North Gorontalo Regency was at the MEY regime compared to the MSY and OA regime. However, based on the actual data obtained, it is known that the average production of skipjack tuna in North Gorontalo Regency has not reached the optimum catch value in the equilibrium condition of MSY (hMSY ), but in some period the actual catch value has passed the optimal catch value (hMSY ), this means that skipjack tuna has overfished (biological overfishing). While the actual production value of skipjack tuna catches in North Gorontalo Regency has passed the production of optimum MEY (hMEY ). This condition indicates that actually skipjack tuna resources have experienced an economic overfishing.


Author(s):  
Jayashree Agarkhed ◽  
Patil Yogita Dattatraya ◽  
Siddarama R. Patil

Wireless Sensor Network finds its extensive use in healthcare applications for the transfer of time-critical data through wireless connectivity. The primary cause of network failure is the transfer of time-critical multimedia data. The article presents a new differentiated service modelsupported (DSM) cluster-based routing in wireless sensor networks (WSNs) that overcomes the above issue. DSM prioritizes the transfer of different flow types based on packet type and packet size. The employment of computational offloading minimizes delay for critical and small-sized data packets and by carrying out data reduction of large-sized packets at proxy server. It outperforms the existing protocols in terms of energy efficiency, throughput, and reliability by prioritizing the transfer of time-critical health application data


Author(s):  
Imtiaz Parvez ◽  
Anam Ahmed ◽  
Shamini Dharmasena ◽  
Shahid Tufail ◽  
Aditya Sundararajan

Author(s):  
Hans Lehmann ◽  
Ulrich Remus ◽  
Stefan Berger

More and more people leave their fixed working environment in order to perform their knowledge-intensive tasks at changing locations or while they are on the move. Mobile knowledge workers are often separated from their colleagues, and they have no access to up-to-date knowledge they would have in their offices. Instead, they rely on faxes and messenger services to receive materials from their home bases (Schulte, 1999). In case of time-critical data, this way of communication with their home office is insufficient.


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