Scheduling algorithm

Hybrid Cuckoo ABC Algorithm for optimistic job scheduling in Heterogeneous Computing Systems Amit Chhabra1, Harwinder Kaur2 1 Guru Nanak Dev University, Amritsar Punjab, India Harwindersaini16@gmail.com, Amit.cse@gndu.ac.in Abstract Cloud Computing is now extremely popular because of its wide variety of Applications through internet. The particular service based approaches which are aware from the server selection through the cloud can easily progress toward the cost and performance of

REAL TIME AND EMBEDDED SYSTEMS [ECWM611] Coursework 1: Report Submitted by: Louis Thompson TASK 1 (A) An embedded system contains the following independent software tasks: Control: The system performs closed-loop control of a robot. Loop processing takes 10 milliseconds. Alarm monitoring: A set of 5 alarm sensors are connected to the processor via a slow speed serial link. Each individual monitoring transaction (per alarm point) takes 10 milliseconds. It is assumed that all points

Evolution of new Load Balancing model for Cloud Computing Abstract Cloud computing is a vital part of this new era IT world or we can say that it is a technology of new age which are used to connect data and application from anywhere around the planet through the internet. Anything and everything from servers to mobile phones can be connected to the cloud. It has also yielded up some new companies which are providing consumer a large range of services. Due to this the upcoming companies can now

Eventually, it will get the last element from the deque of another processor and execute it until all deques are cleared (though usually with a processor, the work is continuous and more efficient due to the algorithm). No worries though, we will just go through some simple examples from the Python interpreter. The datatype "deque" comes from the collections package. So we need to import it from there: >>> from collections import deque Much like the namedtuple

to develop large scale applications. Scheduling and Load balancing is one of the key ideas in grid environment. For efficient scheduling, proper management of resources is required. This paper mainly presents Guided Ant Colony Optimization (ACO) based Variable Neighborhood Search (GAVNS) algorithm which represents how to schedule an independent jobs on grid nodes in order to optimize the schedule and load on nodes/servers. The performance of proposed algorithm is compared with existing Variable Neighborhood

Consider the following preemptive priority-scheduling algorithm based on dynamically changing priorities. Larger priority numbers indicate higher priority (e.g., priority 3 is higher priority than priority 1; priority 0 is higher priority than priority -1, etc.). When a process is waiting for the CPU in the ready queue, its priority changes at the rate of
per unit of time; when it is running, its priority changes at the rate of  per unit of time. All processes are assigned priority 0 when they

A Novel Human Opinion Dynamics based Job Scheduling in Multi-cluster Environment Aakanksha Department of computer engineering & technology, Guru Nanak Dev University, Amritsar, India aakanksha_murgai21@yahoo.com Abstract—Scheduling parallel jobs is a vital issue inside multi-cluster environment as it plays crucial role in exploiting resource usage along with minimizing response time. The way scheduler schedules the job depends on considering various factors such as number of jobs, availability

not related to scheduling an appointment. Solution: Have a designated phone line/extension for scheduling appointments and another for asking questions that are not appointment related. 2. When a patient calls for an appointment, your scheduling staff is gathering too much information over the telephone. Solution: For existing patients: incorporate a system that is designed to automatically gather a patient’s information when the phone rings. Solution for new patients: When scheduling an appointment

A SCHEDULING STRATEGY TO FEDERATE PARALLEL WORKLOAD USING BACKFILLING Pradeepraj.P1 and Mrs .S. Sharon Priya2 1 PG Student, M.Tech. (CSE), B.S Abdur Rahman University, Chennai, Tamil Nadu, India 2 Assistant Professor, Dept of CSE, B.S Abdur Rahman University, Chennai, Tamil Nadu, India Abstract In cloud computing, a core and challenging issue is job scheduling. The job execution time in cloud environment is impossible to predict. Hence the scheduler must be dynamic. The execution of each job needs

ROBIN ALGORITHM Akash Kumar,Avinash Chandra & Sumit Mohan Department of computer science & Engineering Galgotias College of Engg. & Tech. Greater Noida ,up, India Email id –avi.chandra423@gmail.com Abstract- Round robin is one of the most optimal cpu scheduling algorithm because it is given an equal amount of static time quantum.But what will be the time quantum is the biggest task. So we have proposed an improved version of round robin algorithm which will