This paper presents a new operating system (OS) scheduling optimization to reduce the impact of such remote memory accesses. By observing the pattern of local and remote DRAM accesses for every thread in each scheduling quantum and applying different algorithms, we come up with a new schedule of...
Multiple queues are maintained for processes with common characteristics. Each queue can have its own scheduling algorithms. Priorities are assigned to each queue.For example, CPU-bound jobs can be scheduled in one queue and all I/O-bound jobs in another queue. The Process Scheduler then ...
OS | Disk Scheduling Algorithms: In this tutorial, we will learn about the various disk scheduling algorithms along with its advantages and disadvantages.Mahak Jain Let us compare various disk scheduling algorithms: 1. FCFS Scheduling Algorithm In FCFS, the requests are addressed in the sequence the...
Traffic shaping allows you to control the traffic going out of an interface in order to match its flow to the speed of the remote target interface and to ensure that the traffic conforms to policies contracted for it. You can...
In centralized cloud management, a global manager collects status data from all data centers, either through periodic pulls or local pushes, storing it in a central database. Scheduling algorithms then use this data to optimize decisions. However, this model faces challenges like communication bottlen...
Cloud computing Resource allocation Pareto solutions Bacteria foraging Genetic algorithms 1. Introduction With the ubiquitous growth of Internet access and big data in their volume, velocity, and variety through the Internet, cloud computing becomes more and more proliferating in the industry, academia, ...
on any suitable detection algorithms, the data store202may elect another active job scheduler as the new leader job scheduler and send a message to the elected leader job scheduler to inform the election. On receiving the message from the data store202, the elected job scheduler201may act as ...
The computations that arise when training and using machine learning algorithms (e.g., neural networks) lend themselves naturally to efficient parallel implementations. Accordingly, parallel processors such as general-purpose graphic processing units (GPGPUs) have played a significant role in the ...
New improved optimal algorithms are presented that can solve these problems in at most O( n log n) time, where n is the number of tasks. The existing algorithms solve most of these problems in O( n 3 ) time. Proofs of optimality of the present algorithms are included, and simple ...
where the elements of the disclosed implementations are implemented using software programming or software elements, the systems and techniques can be implemented with a programming or scripting language, such as C, C++, Java, JavaScript, assembler, or the like, with the various algorithms being impl...