Towards understanding uncertainty in cloud computing with risks of confidentiality, integrity, and availability

A Tchernykh, U Schwiegelsohn, E Talbi… - Journal of Computational …, 2019 - Elsevier
An extensive research has led to a general understanding of uncertainty issues in different
fields ranging from computational biology to decision making in economics. However, a …

Cost-optimal scheduling in hybrid iaas clouds for deadline constrained workloads

R Van den Bossche, K Vanmechelen… - 2010 IEEE 3rd …, 2010 - ieeexplore.ieee.org
With the recent emergence of public cloud offerings, surge computing-outsourcing tasks
from an internal data center to a cloud provider in times of heavy load-has become more …

Online cost-efficient scheduling of deadline-constrained workloads on hybrid clouds

R Van den Bossche, K Vanmechelen… - Future Generation …, 2013 - Elsevier
Cloud computing has found broad acceptance in both industry and research, with public
cloud offerings now often used in conjunction with privately owned infrastructure. Technical …

Statistical prediction of task execution times through analytic benchmarking for scheduling in a heterogeneous environment

MA Iverson, F Ozguner, LC Potter - … Computing Workshop (HCW …, 1999 - ieeexplore.ieee.org
In this paper a method for estimating task execution times is presented, in order to facilitate
dynamic scheduling in a heterogeneous metacomputing environment. Execution time is …

Towards understanding uncertainty in cloud computing resource provisioning

A Tchernykh, U Schwiegelsohn, V Alexandrov… - Procedia Computer …, 2015 - Elsevier
In spite of extensive research of uncertainty issues in different fields ranging from
computational biology to decision making in economics, a study of uncertainty for cloud …

An intelligent cloud workflow scheduling system with time estimation and adaptive ant colony optimization

YH Jia, WN Chen, H Yuan, T Gu… - … on Systems, Man …, 2018 - ieeexplore.ieee.org
The introduction of workflow in cloud computing has afforded a new and efficient way to
tackle large-scale applications. As an NP-hard problem, how to schedule cloud workflows …

PQR: Predicting query execution times for autonomous workload management

C Gupta, A Mehta, U Dayal - 2008 International Conference on …, 2008 - ieeexplore.ieee.org
Modern enterprise data warehouses have complex workloads that are notoriously difficult to
manage. One of the key pieces to managing workloads is an estimate of how long a query …

Deadline aware and energy-efficient scheduling algorithm for fine-grained tasks in mobile edge computing

A Lakhan, MA Mohammed… - … Journal of Web …, 2022 - inderscienceonline.com
These days, more and more web are converting into mobile devices such as the internet of
things (IoT). These applications are distributed in nature and installed on mobile and servers …

Efficient co-processor utilization in database query processing

S Breß, F Beier, H Rauhe, KU Sattler, E Schallehn… - Information Systems, 2013 - Elsevier
Specialized processing units such as GPUs or FPGAs provide great opportunities to speed
up database operations by exploiting parallelism and relieving the CPU. However …

An analysis of provisioning and allocation policies for infrastructure-as-a-service clouds

D Villegas, A Antoniou, SM Sadjadi… - 2012 12th IEEE/ACM …, 2012 - ieeexplore.ieee.org
Today, many commercial and private cloud computing providers offer resources for leasing
under the infrastructure as a service (IaaS) paradigm. Although an abundance of …