Call for Papers for IEEE Transactions on Parallel and Distributed Systems (TPDS) Special Issue on Cloud Computing

2011 ◽  
Vol 22 (12) ◽  
pp. 2126-2127
2011 ◽  
Vol 05 (03) ◽  
pp. 235-256 ◽  
Author(s):  
DU ZHANG ◽  
ÉRIC GRÉGOIRE

The focus of this introduction to this special issue is to draw a picture as comprehensive as possible about various dimensions of inconsistency. In particular, we consider: (1) levels of knowledge at which inconsistency occurs; (2) categories and morphologies of inconsistency; (3) causes of inconsistency; (4) circumstances of inconsistency; (5) persistency of inconsistency; (6) consequences of inconsistency; (7) metrics for inconsistency; (8) theories for handling inconsistency; (9) dependencies among occurrences of inconsistency; and (10) problem domains where inconsistency has been studied. The take-home message is that inconsistency is ubiquitous and handling inconsistency is consequential in our endeavors. How to manage and reason in the presence of inconsistency presents a very important issue in semantic computing, cloud computing, social computing, and many other data-rich or knowledge-rich computing systems.


2013 ◽  
Vol 24 (6) ◽  
pp. 1062-1065 ◽  
Author(s):  
Vojislav B. Misic ◽  
Rajkumar Buyya ◽  
Dejan Milojicic ◽  
Yong Cui

Author(s):  
TAJ ALAM ◽  
PARITOSH DUBEY ◽  
ANKIT KUMAR

Distributed systems are efficient means of realizing high-performance computing (HPC). They are used in meeting the demand of executing large-scale high-performance computational jobs. Scheduling the tasks on such computational resources is one of the prime concerns in the heterogeneous distributed systems. Scheduling jobs on distributed systems are NP-complete in nature. Scheduling requires either heuristic or metaheuristic approach for sub-optimal but acceptable solutions. An adaptive threshold-based scheduler is one such heuristic approach. This work proposes adaptive threshold-based scheduler for batch of independent jobs (ATSBIJ) with the objective of optimizing the makespan of the jobs submitted for execution on cloud computing systems. ATSBIJ exploits the features of interval estimation for calculating the threshold values for generation of efficient schedule of the batch. Simulation studies on CloudSim ensures that the ATSBIJ approach works effectively for real life scenario.


2019 ◽  
Vol 17 (2) ◽  
pp. 101-103
Author(s):  
Z.X. Hou ◽  
Y. Xiao

2015 ◽  
Vol 42 ◽  
pp. 31-32
Author(s):  
Danielo G. Gomes ◽  
Rodrigo N. Calheiros ◽  
Rafael Tolosana-Calasanz

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