Running MapReduce programs in the public cloud introduces the important problem: how to
optimize resource provisioning to minimize the financial charge for a specific job? In this …

This paper investigates the problem of allocating parallel application tasks to processors in
heterogeneous distributed computing systems with the goal of maximizing the system …

Within the next 10 years, advances on resource disaggregation will enable full transparency
for most Cloud applications: to run unmodified single-machine applications over effectively …

An efficient function of a complicated or dynamic high performance computing environment
requires the scheduler to dispatch the submitted tasks according to the identification of the …

Grid systems are popular today due to their ability to solve large problems in business and
science. Job failures which are inherent in any computational environment are more …

Accurate estimation of workflow Quality of Service (QoS) enhances the efficiency of
scheduling algorithms. The availability and performance variations of Grid computing …

Effective task assignment is essential for achieving high performance in heterogeneous
distributed computing systems. This paper proposes a new technique based on the …

(57) ABSTRACT Related US Application Data An automated resource allocation technique
for Scheduling a (63) Continuation of application No. 12/848,126, filed on batch computer …

Cloud computing has devised an interesting computational model which provides a set of
features such as storage, database and processing power, all made available as services …

This paper presents APlug, a framework for automatic tuning of large scale applications of
many independent tasks. APlug suggests the best decomposition of the original computation …