Scheduling of tasks in distributed environments, like cloud and grid computing platforms,
using deadlines to provide quality of service is a challenging problem. The few existing …

Deadline assignment is to assign each subtask composing a distributed task with a local
deadline such that the global deadline can be met. Today's real-time systems often need to …

Public cloud computing infrastructure offers resources on-demand, and makes it possible to
develop applications that elastically scale when demand changes. This capacity can be …

Scheduling large amounts of tasks in distributed computing platforms composed of millions
of nodes is a challenging goal, even more in a fully decentralized way and with low …

This study presents a soft deadline scheduler for distributed systems that aims of exploring
data locality management. In Hadoop, neither the Fair Scheduler nor the Capacity …

A fundamental problem in large scale Grids is the need for efficient and scalable techniques
for resource discovery and scheduling. In traditional resource scheduling systems a single …

Grid technology is the structure of technology that provides highly efficient performance in
the grid environment. Design of an efficient and reliable task scheduling algorithm is one of …

We present algorithms for the scheduling sequential tasks on a network enabled server
(NES) environment. This article is an extension of the paper:" A Study of Deadline …

The tremendous parallel computing ability of Cloud computing as a new service
provisioning paradigm encourages investigators to research its drawbacks and advantages …

Cloud computing offerings are maturing steadily, and their use has found acceptance in both
industry and research. Cloud servers are used more and more instead of, or in addition to …