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An analytical review and performance measures of state-of-art scheduling algorithms in heterogenous computing enviornment
Task scheduling and resource utilization have always been among the most critical issues
for high performance in heterogeneous computing. The heterogeneity of computation costs …
for high performance in heterogeneous computing. The heterogeneity of computation costs …
Modified firefly algorithm for workflow scheduling in cloud-edge environment
Edge computing is a novel technology, which is closely related to the concept of Internet of
Things. This technology brings computing resources closer to the location where they are …
Things. This technology brings computing resources closer to the location where they are …
[PDF][PDF] Optimized Min-Min task scheduling algorithm for scientific workflows in a cloud environment
Resource allocation and cloudlets scheduling are fundamental problems in a cloud
computing environment. The scheduled cloudlets must be executed efficiently by using the …
computing environment. The scheduled cloudlets must be executed efficiently by using the …
List scheduling algorithm for heterogeneous systems by an optimistic cost table
Efficient application scheduling algorithms are important for obtaining high performance in
heterogeneous computing systems. In this paper, we present a novel list-based scheduling …
heterogeneous computing systems. In this paper, we present a novel list-based scheduling …
A GSA based hybrid algorithm for bi-objective workflow scheduling in cloud computing
Workflow Scheduling in cloud computing has drawn enormous attention due to its wide
application in both scientific and business areas. This is particularly an NP-complete …
application in both scientific and business areas. This is particularly an NP-complete …
A novel directional and non-local-convergent particle swarm optimization based workflow scheduling in cloud–edge environment
Y **e, Y Zhu, Y Wang, Y Cheng, R Xu, AS Sani… - Future Generation …, 2019 - Elsevier
With the increasing popularity of Internet of Things (IoT), edge computing has become the
key driving force to provide computing resources, storage and network services closer to the …
key driving force to provide computing resources, storage and network services closer to the …
Workflow scheduling in serverless edge computing for the industrial internet of things: A learning approach
Serverless edge computing is seen as a promising enabler to execute differentiated
Industrial Internet of Things (IIoT) applications without managing the underlying servers and …
Industrial Internet of Things (IIoT) applications without managing the underlying servers and …
Task scheduling based on deep reinforcement learning in a cloud manufacturing environment
T Dong, F Xue, C **ao, J Li - Concurrency and Computation …, 2020 - Wiley Online Library
Cloud manufacturing promotes the transformation of intelligence for the traditional
manufacturing mode. In a cloud manufacturing environment, the task scheduling plays an …
manufacturing mode. In a cloud manufacturing environment, the task scheduling plays an …
Reliability-aware multi-objective memetic algorithm for workflow scheduling problem in multi-cloud system
S Qin, D Pi, Z Shao, Y Xu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the development of cloud computing, multi-cloud systems have become common
platforms for hosting and executing workflow applications in recent years. However, the …
platforms for hosting and executing workflow applications in recent years. However, the …
Mining valence, arousal, and dominance: possibilities for detecting burnout and productivity?
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 …
diseases such as burnout, which lead developers to lose interest, exhibit lower activity …