Scheduling is defined as the process of assigning operations to resources over time to optimize a criterion. Problems with scheduling comprise both a set of resources and a set of a consumers. As such, managing scheduling problems involves managing the use of resources by several consumers. This book presents some new applications and trends related to task and data scheduling. In particular, chapters focus on data science, big data, high-performance computing, and Cloud computing environments. In addition, this book presents novel algorithms and literature reviews that will guide current and new researchers who work with load balancing, scheduling, and allocation problems
The resource-constrained scheduling problem (RCSP) involves the assignment of a limited set of resou...
Cloud Computing is a fast growing computing paradigm due to the vast benefits it provides to the use...
International audienceNowadays, when we face with numerous data, when data cannot be classified into...
Generally speaking, scheduling is the procedure of mapping a set of tasks or jobs (studied objects) ...
The growth in data generated by private and public organizations leads to several opportunities to o...
This edited book presents new results in the area of algorithm development for different types of sc...
Abstract In recent years, the rapid development of artificial intelligence and data science has give...
This dissertation focuses on the design and analysis of approximation and online algorithms for sche...
Recent trends in big data have shown that the amount of data continues to increase at an exponential...
The objective the work is intended to highlight the key features and afford finest future directions...
A disruptive technology fundamentally transforming the way that computing services are delivered, cl...
As the immense growth of data have affected many organizations, there have been a need to adopt the ...
Despite the increasing use of cloud computing technology because it offers unique features to serve ...
In any computing environment, the availability of resources is finite, so effective utilization of r...
In this article we provide brief descriptions of three classes of schedulers: Operating Systems P...
The resource-constrained scheduling problem (RCSP) involves the assignment of a limited set of resou...
Cloud Computing is a fast growing computing paradigm due to the vast benefits it provides to the use...
International audienceNowadays, when we face with numerous data, when data cannot be classified into...
Generally speaking, scheduling is the procedure of mapping a set of tasks or jobs (studied objects) ...
The growth in data generated by private and public organizations leads to several opportunities to o...
This edited book presents new results in the area of algorithm development for different types of sc...
Abstract In recent years, the rapid development of artificial intelligence and data science has give...
This dissertation focuses on the design and analysis of approximation and online algorithms for sche...
Recent trends in big data have shown that the amount of data continues to increase at an exponential...
The objective the work is intended to highlight the key features and afford finest future directions...
A disruptive technology fundamentally transforming the way that computing services are delivered, cl...
As the immense growth of data have affected many organizations, there have been a need to adopt the ...
Despite the increasing use of cloud computing technology because it offers unique features to serve ...
In any computing environment, the availability of resources is finite, so effective utilization of r...
In this article we provide brief descriptions of three classes of schedulers: Operating Systems P...
The resource-constrained scheduling problem (RCSP) involves the assignment of a limited set of resou...
Cloud Computing is a fast growing computing paradigm due to the vast benefits it provides to the use...
International audienceNowadays, when we face with numerous data, when data cannot be classified into...