Scheduling in distributed systems: A cloud computing perspective

LF Bittencourt, A Goldman, ERM Madeira… - Computer science …, 2018 - Elsevier
Scheduling is essentially a decision-making process that enables resource sharing among a
number of activities by determining their execution order on the set of available resources …

Characterizing and profiling scientific workflows

G Juve, A Chervenak, E Deelman, S Bharathi… - Future generation …, 2013 - Elsevier
Researchers working on the planning, scheduling, and execution of scientific workflows
need access to a wide variety of scientific workflows to evaluate the performance of their …

List scheduling algorithm for heterogeneous systems by an optimistic cost table

H Arabnejad, JG Barbosa - IEEE transactions on parallel and …, 2013 - ieeexplore.ieee.org
Efficient application scheduling algorithms are important for obtaining high performance in
heterogeneous computing systems. In this paper, we present a novel list-based scheduling …

Workflow scheduling in cloud: a survey

F Wu, Q Wu, Y Tan - The Journal of Supercomputing, 2015 - Springer
To program in distributed computing environments such as grids and clouds, workflow is
adopted as an attractive paradigm for its powerful ability in expressing a wide range of …

Dag scheduling using a lookahead variant of the heterogeneous earliest finish time algorithm

LF Bittencourt, R Sakellariou… - 2010 18th Euromicro …, 2010 - ieeexplore.ieee.org
Among the numerous DAG scheduling heuristics suitable for heterogeneous systems, the
Heterogeneous Earliest Finish Time (HEFT) heuristic is known to give good results in short …

isax 2.0: Indexing and mining one billion time series

A Camerra, T Palpanas, J Shieh… - 2010 IEEE international …, 2010 - ieeexplore.ieee.org
There is an increasingly pressing need, by several applications in diverse domains, for
developing techniques able to index and mine very large collections of time series …

Mining valence, arousal, and dominance: possibilities for detecting burnout and productivity?

M Mäntylä, B Adams, G Destefanis… - Proceedings of the 13th …, 2016 - dl.acm.org
Similar to other industries, the software engineering domain is plagued by psychological
diseases such as burnout, which lead developers to lose interest, exhibit lower activity …

A budget constrained scheduling algorithm for workflow applications

H Arabnejad, JG Barbosa - Journal of grid computing, 2014 - Springer
Abstract Service-oriented computing has enabled a new method of service provisioning
based on utility computing models, in which users consume services based on their Quality …

[HTML][HTML] Robustness challenges in Reinforcement Learning based time-critical cloud resource scheduling: A Meta-Learning based solution

H Liu, P Chen, X Ouyang, H Gao, B Yan… - Future Generation …, 2023 - Elsevier
Cloud computing attracts increasing attention in processing dynamic computing tasks and
automating the software development and operation pipeline. In many cases, the computing …

An evolutionary fuzzy scheduler for multi-objective resource allocation in fog computing

C Wu, W Li, L Wang, AY Zomaya - Future Generation Computer Systems, 2021 - Elsevier
With rapid development of the Internet of Things (IoT), a vast amount of raw data produced
by IoT devices needs to be processed promptly. Compared to cloud computing, fog …