Efficient task scheduling algorithms for heterogeneous multi-cloud environment

SK Panda, PK Jana - The Journal of Supercomputing, 2015 - Springer
Cloud Computing has grown exponentially in the business and research community over
the last few years. It is now an emerging field and becomes more popular due to recent …

An energy-efficient task scheduling algorithm for heterogeneous cloud computing systems

SK Panda, PK Jana - Cluster Computing, 2019 - Springer
The massive growth of cloud computing leads to huge amounts of energy consumption and
release of carbon footprints as data centers are housed by a large number of servers …

Multi objective task scheduling algorithm based on SLA and processing time suitable for cloud environment

M Lavanya, B Shanthi, S Saravanan - Computer Communications, 2020 - Elsevier
Cloud computing is a new paradigm which provides subscription-oriented services.
Scheduling the tasks in cloud computing environments is a multi-goal optimization problem …

SLA-based task scheduling algorithms for heterogeneous multi-cloud environment

SK Panda, PK Jana - The Journal of Supercomputing, 2017 - Springer
Abstract Service-level agreement (SLA) is a major issue in cloud computing because it
defines important parameters such as quality of service, uptime, downtime, period of service …

Normalization-based task scheduling algorithms for heterogeneous multi-cloud environment

SK Panda, PK Jana - Information Systems Frontiers, 2018 - Springer
Cloud computing is one of the most successful technologies that offer on-demand services
through the Internet. However, datacenters of the clouds may not have unlimited capacity …

A multi-objective task scheduling algorithm for heterogeneous multi-cloud environment

SK Panda, PK Jana - 2015 International Conference on …, 2015 - ieeexplore.ieee.org
Cloud Computing has become a popular computing paradigm which has gained enormous
attention in delivering on-demand services. Task scheduling in cloud computing is an …

A sparse probabilistic learning algorithm for real-time tracking

Blake, Cipolla - Proceedings Ninth IEEE International …, 2003 - ieeexplore.ieee.org
We address the problem of applying powerful pattern recognition algorithms based on
kernels to efficient visual tracking. Recently S. Avidan,(2001) has shown that object …

Scheduling independent tasks on heterogeneous processors using heuristics and Column Pricing

C Gogos, C Valouxis, P Alefragis, G Goulas… - Future Generation …, 2016 - Elsevier
Efficiently scheduling a set of independent tasks on a virtual supercomputer formed by many
heterogeneous components has great practical importance, since such systems are …

Uncertainty-based QoS min–min algorithm for heterogeneous multi-cloud environment

SK Panda, PK Jana - Arabian Journal for Science and Engineering, 2016 - Springer
With the advances in virtualization technology, cloud has become the most powerful and
promising platform for business, academia, public and government organizations. The cloud …

Genetic algorithm-enabled particle swarm optimization (PSOGA)-based task scheduling in cloud computing environment

M Agarwal, GMS Srivastava - International Journal of Information …, 2018 - World Scientific
Task scheduling is one of the most difficult problems which is associated with cloud
computing. Due to its nature, as it belongs to nondeterministic polynomial time (NP)-hard …