Journal of Computer and Systems Sciences International - Scheduling in multichannel distributed information processing systems is studied. The problem is solved for systems-on-a-chip and is...doi:10.1134/S10642
The scheduler distributes tickets to the processes in the system which are allotted CPU time through lottery. The tickets may or may not be distributed uniformly. If a process possesses more tickets, it has a relatively higher probability of selection. Thus a process with more tickets has ...
In centralized scheduling, the scheme comprises a single scheduler available for all the systems to allocate the task. The only issue with these schemes is their scalability and fault tolerance. The other is the distributed approach, where there are set of schedulers connected in the distributed ...
Considering that there may be hundreds of programs that need to work, the OS must launch the program, stop it, switch to another program, etc. The way the OS configures the system to run another in the CPU is called “context switching”. If the OS keeps context-switching programs in an...
Table-1 Distributed task scheduling workflowProcedure Description Add an executor The scheduling center is built in the PaaS platform. You only need to add executors and register the executors to the scheduling center. Add a task To add a task, bind an executor and configure the parameters ...
In distributed systems such as grids [7], most practical scheduling problems are NP-hard [30]. The schedulers must also consider and balance different objective functions, e.g. response time, the fairness of resource sharing [19], load balancing, etc. Therefore, most schedulers use some heur...
Approximate Fair Drop is not supported on the Cisco Nexus 9508 switch (NX-OS 7.0(3)F3(3)). AFD and WRED cannot be applied at the same time. Only one can be used in a system. If an AFD policy has already ...
In subject area:Computer Science Task scheduling in computer science refers to the process of allocating virtual machines to meet user requests while considering multiple parameters and constraints. The goal is to optimize resource utilization, increase system throughput, conserve energy, lower expenses, ...
Modern clusters in a distributed computing system might support over one hundred nodes (or more) that in turn support as many as several thousands (or more) autonomous virtualized entities (VEs). The VEs in distributed computing systems might be virtual machines (VMs) and/or executable containers...
Systems for managing firmware updates in a computing system. A computing system comprises multiple computing nodes. A plurality of computing nodes include firmware-upgradable compon