Multi-objective meta-heuristics for scheduling applications with high availability requirements and cost constraints in multi-cloud environments
ME Frincu, C Craciun - 2011 fourth IEEE international …, 2011 - ieeexplore.ieee.org
As the popularity of cloud computing increases, more and more applications are migrated
onto them. Web 2.0 applications are the most common example of such applications. These …
onto them. Web 2.0 applications are the most common example of such applications. These …
Heuristics for provisioning services to workflows in XaaS clouds
In XaaS clouds, resources as services (eg, infrastructure, platform and software as a service)
are sold to applications such as scientific and big data analysis workflows. Candidate …
are sold to applications such as scientific and big data analysis workflows. Candidate …
A framework for elastic execution of existing mpi programs
A Raveendran, T Bicer… - 2011 IEEE International …, 2011 - ieeexplore.ieee.org
There is a clear trend towards using cloud resources in the scientific or the HPC community,
with a key attraction of cloud being the elasticity it offers. In executing HPC applications on a …
with a key attraction of cloud being the elasticity it offers. In executing HPC applications on a …
Video games in the English as a foreign language classroom
TAF Anderson, BL Reynolds, XP Yeh… - 2008 Second IEEE …, 2008 - ieeexplore.ieee.org
The purpose of this study was to investigate potentials of and to identify factors relevant to
computer games at the center of a course curriculum. In order to improve the English …
computer games at the center of a course curriculum. In order to improve the English …
The cloud paradigm applied to e-Health
Background Cloud computing is a new paradigm that is changing how enterprises,
institutions and people understand, perceive and use current software systems. With this …
institutions and people understand, perceive and use current software systems. With this …
Cloud datacenter workload estimation using error preventive time series forecasting models
The workload estimation plays a vital role in efficient management of cloud resources. This
paper introduces the error preventive score (EPS) in time series forecasting models to …
paper introduces the error preventive score (EPS) in time series forecasting models to …
Automatic demand-driven resource scaling for relational database-as-a-service
Abstract Architecture that enables a Database-as-a-Service (DaaS) to auto-scale container
sizes on behalf of tenants. An abstraction is provided that enables tenants to reason about …
sizes on behalf of tenants. An abstraction is provided that enables tenants to reason about …
Transformation-based monetary costoptimizations for workflows in the cloud
Recently, performance and monetary cost optimizations for workflows from various
applications in the cloud have become a hot research topic. However, we find that most …
applications in the cloud have become a hot research topic. However, we find that most …
QoE-aware elasticity support in cloud-native 5G systems
S Dutta, T Taleb, A Ksentini - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
Typically, maintaining static pool of cloud resources to meet peak requirements with good
service quality makes the cloud infrastructure costly. To cope with this, this paper proposes …
service quality makes the cloud infrastructure costly. To cope with this, this paper proposes …
Cost-effective provisioning and scheduling of deadline-constrained applications in hybrid clouds
RN Calheiros, R Buyya - International Conference on Web Information …, 2012 - Springer
In order to meet distributed application deadlines, Resource Management Systems (RMSs)
have to utilize additional resources from public Cloud providers when in-house resources …
have to utilize additional resources from public Cloud providers when in-house resources …