A strategic performance of virtual task scheduling in multi cloud environment

Autor: V. Venkatachalam, C. Thirumalaiselvan
Rok vydání: 2017
Předmět:
Earliest deadline first scheduling
Rate-monotonic scheduling
Computer Networks and Communications
Least slack time scheduling
Computer science
Distributed computing
Real-time computing
Scheduling (production processes)
Cloud computing
02 engineering and technology
Proportionally fair
Dynamic priority scheduling
computer.software_genre
Gang scheduling
Multiprocessor scheduling
Fair-share scheduling
Scheduling (computing)
Fixed-priority pre-emptive scheduling
Genetic algorithm scheduling
Lottery scheduling
0202 electrical engineering
electronic engineering
information engineering
Job shop scheduling
business.industry
Priority scheduling
020206 networking & telecommunications
Flow shop scheduling
Energy consumption
Load balancing (computing)
Round-robin scheduling
Stride scheduling
Deadline-monotonic scheduling
Virtual machine
Two-level scheduling
020201 artificial intelligence & image processing
business
computer
Software
Zdroj: Cluster Computing. 22:9589-9597
ISSN: 1573-7543
1386-7857
DOI: 10.1007/s10586-017-1268-7
Popis: An emerging technology of cloud computing has major issue as scheduling the task and resource allocating. To avoid this issue, there are suggestions on different scheduling algorithm and that has its own merits and demerits. The proposed virtual task scheduling in multi cloud environment using three different scheduling algorithms such as equal load balancing (ELB) algorithm, high priority scheduling algorithm and rate based scheduling (RBS) algorithm. These different scheduling algorithms are used based on the number of tasks and number of virtual machine in multi cloud environment architecture. If the number of task is equal to number of virtual machine, ELB scheduling algorithm is used. If the number of tasks is greater than the number of virtual machine, high prioritization scheduling algorithm is used. If the number of tasks are lesser than the number of virtual machines, RBS algorithm is used. By using these three different scheduling algorithms we can improve the makespan, average efficiency of the multi cloud computing. Simulation results have analyzed the overall performance by comparing these three different scheduling algorithms. From these simulation results, proposed virtual task scheduling which increases the makespan and reduces the delay and energy consumption.
Databáze: OpenAIRE
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