A Task Scheduling Algorithm with Improved Makespan Based on Prediction of Tasks Computation Time
A Task Scheduling Algorithm with Improved Makespan Based on Prediction of Tasks Computation Time
|
Yükleniyor...
 Hızlı erişim için Tubidy'yi favorilerinize ekleyin.
Lütfen bekleyiniz...
Type
Size

 İlgili Videolar

A Task Scheduling Algorithm with Improved Makespan Based on Prediction of Tasks Computation Time

A Task Scheduling Algorithm with Improved Makespan Based on Prediction of Tasks Computation Time

|
Study and Analysis of Various Task Scheduling Algorithms in the Cloud Computing Environment

Study and Analysis of Various Task Scheduling Algorithms in the Cloud Computing Environment

|
The scheduling problem (3/7). Assumptions and notation

The scheduling problem (3/7). Assumptions and notation

|
Prediction Technique

Prediction Technique

|
SMART Predictive Scheduling

SMART Predictive Scheduling

|
PDAA:195 Optimal Resource Allocation for Machine Learning Tasks in Distributed Computing

PDAA:195 Optimal Resource Allocation for Machine Learning Tasks in Distributed Computing

|
Example of HEFT Scheduling Part 1

Example of HEFT Scheduling Part 1

|
A HIGH PERFORMANCE DAG TASK SCHEDULING ALGORITHM FOR HETEROGENEOUS NETWORKED EMBEDDED SYSTEMS

A HIGH PERFORMANCE DAG TASK SCHEDULING ALGORITHM FOR HETEROGENEOUS NETWORKED EMBEDDED SYSTEMS

|
Lecture 9.4 for 2015/4/30 (OR 2015)

Lecture 9.4 for 2015/4/30 (OR 2015)

|
The scheduling problem for unrelated machines, the LIST algorithm and its m-competitiveness

The scheduling problem for unrelated machines, the LIST algorithm and its m-competitiveness

|
Heterogeneous Earliest Finish Time Algorithm (HEFT)

Heterogeneous Earliest Finish Time Algorithm (HEFT)

|
Task Scheduling and Resource Allocation in Fog Computing | Fog Computing Projects

Task Scheduling and Resource Allocation in Fog Computing | Fog Computing Projects

|
Towards High Efficiency Data Centers via Job Aware Network Scheduling

Towards High Efficiency Data Centers via Job Aware Network Scheduling

|
[Scheduling seminar] Benjamin Moseley (Carnegie Mellon) | Machine Learning for Scheduling

[Scheduling seminar] Benjamin Moseley (Carnegie Mellon) | Machine Learning for Scheduling

|
A Novel Task Duplication based DAG Scheduling Algorithm for Heterogeneous Environments in Java

A Novel Task Duplication based DAG Scheduling Algorithm for Heterogeneous Environments in Java

|
Efficient Resource Allocation and scheduling in cloud computing environment || JAVA

Efficient Resource Allocation and scheduling in cloud computing environment || JAVA

|
Flow shop scheduling -- Three machines, Johnson's algorithm and Branch

Flow shop scheduling -- Three machines, Johnson's algorithm and Branch

|
Effective Prediction of Missing Data on Apache Spark over Multivariable Time Series

Effective Prediction of Missing Data on Apache Spark over Multivariable Time Series

|
Ch 16- Scheduling Techniques - part 5 Example on the dispatching rules

Ch 16- Scheduling Techniques - part 5 Example on the dispatching rules

|
Simulation of Optimized Load Balancing and User Job Scheduling Using CloudSim

Simulation of Optimized Load Balancing and User Job Scheduling Using CloudSim

|
Copyright. All rights reserved © 2025
Rosebank, Johannesburg, South Africa

Favorilere Ekle