Ana-Maria Simionovici | Université du Luxembourg (original) (raw)

Uploads

Papers by Ana-Maria Simionovici

Cloud computing as a powerful economic stimulus widely being adopted by many companies. However, ... more Cloud computing as a powerful economic stimulus widely being adopted by many companies. However, the management of cloud infrastructure is a challenging task. Reliability, security, quality of service, and cost-efficiency are important issues in these systems. They
require resource optimization at multiple layers of the infrastructure and applications. The complexity of cloud computing systems makes unfeasible the optimal resource allocation, especially in presence of uncertainty of very dynamic and unpredictable environment. Hence, load balancing algorithms are a fundamental part of the research in cloud computing. We formulate the problem of load balancing in distributed computer environments and review several algorithms. The goal is to understand the main characteristics of dynamic load balancing algorithms and how they can be adapted for the domain of VoIP computations on hybrid clouds. We conclude by showing how none of these works directly addresses the problem space of the considered problem, but do provide a valuable basis for our work.

Bookmarks Related papers MentionsView impact

The paper deals with an important problem in the Voice over IP (VoIP) domain, namely being able t... more The paper deals with an important problem in the
Voice over IP (VoIP) domain, namely being able to understand
and predict the structure of traffic over some given period of time.
VoIP traffic has a time variant structure, e.g. due to sudden peaks,
daily or weekly moving patterns of activities, which in turn makes
prediction difficult. Obtaining insights about the structure and
trends of traffic has important implications when dealing with
the nowadays cloud-deployed VoIP services. Prediction techniques
are applied to anticipate the incoming traffic, for an efficient
distribution of the traffic in the system and allocation of resources.
The article looks in a critical manner at a series of machine
learning techniques. We namely compare and review (using real
VoIP data) the results obtained when using a Gaussian Mixture
Model (GMM), Gaussian Processes (GP), and an evolutionarylike
Interacting Particle Systems based (sampling) algorithm. The
experiments consider different setups as to verify the time variant
traffic assumption.

Bookmarks Related papers MentionsView impact

An important problem one needs to deal with in a Voice over IP system is server overload. One way... more An important problem one needs to deal with in
a Voice over IP system is server overload. One way for pre-
venting such problems is to rely on prediction techniques for
the incoming traffic, namely as to proactively scale the avail-
able resources. Anticipating the computational load induced
on processors by incoming requests can be used to optimize
load distribution and resource allocation. In this study, the
authors look at how the user profiles, peak hours or call pat-
terns are shaped for a real system and, in a second step, at
constructing a model that is capable of predicting trends.

Bookmarks Related papers MentionsView impact

Dynamic optimization based on incoming load analysis and prediction is considered to be an innova... more Dynamic optimization based on incoming load analysis and prediction is considered to be an innovative
approach in order to prevent the overload of the servers in a Voice over IP system. The ongoing
project is in an early stage of study and the followings are the current vision and concept regarding
it. The information gathered by inspecting the real system of an IT company, MixVoIP, (probe server
and sensors spread inside the cloud) and by analyzing the data provided by the predictive algorithm,
will be used to optimize load distribution and resource allocation. The implementation in the real-life
environment should lead to an improvement of the service offered but also to a sensible reduction of
the associated carbon emissions, e.g. as a result of an improved load management, reduced idle CPU
times or optimally exploited resources.

Bookmarks Related papers MentionsView impact

NC&SC’2015 - Network Computing & Supercomputing workshop. In conjunction with RuSCDays'15 - The Russian Supercomputing Days, September 28-29, 2015, Moscow

Cloud computing as a powerful economic stimulus widely being adopted by many companies. However, ... more Cloud computing as a powerful economic stimulus widely being adopted by many companies. However, the management of cloud infrastructure is a challenging task. Reliability, security, quality of service, and cost-efficiency are important issues in these systems. They require
resource optimization at multiple layers of the infrastructure and applications. The complexity
of cloud computing systems makes infeasible the optimal resource allocation, especially in presence of uncertainty of very dynamic and unpredictable environment. Hence, load balancing algorithms are a fundamental part of the research in cloud computing. We formulate the problem of load balancing in distributed computer environments and review several algorithms. The goal is to understand the main characteristics of dynamic load balancing algorithms and how they can be adapted for the domain of VoIP computations on hybrid clouds. We conclude by showing how none of these works directly addresses the problem space of the considered problem, but do provide a valuable basis for our work

Bookmarks Related papers MentionsView impact

NC&SC’2015 - Network Computing & Supercomputing workshop. In conjunction with RuSCDays'15 - The Russian Supercomputing Days, September 28-29, 2015, Moscow

Cloud computing as a powerful economic stimulus widely being adopted by many companies. However, ... more Cloud computing as a powerful economic stimulus widely being adopted by many companies. However, the management of cloud infrastructure is a challenging task. Reliability, security, quality of service, and cost-efficiency are important issues in these systems. They require
resource optimization at multiple layers of the infrastructure and applications. The complexity
of cloud computing systems makes infeasible the optimal resource allocation, especially in presence of uncertainty of very dynamic and unpredictable environment. Hence, load balancing algorithms are a fundamental part of the research in cloud computing. We formulate the problem of load balancing in distributed computer environments and review several algorithms. The goal is to understand the main characteristics of dynamic load balancing algorithms and how they can be adapted for the domain of VoIP computations on hybrid clouds. We conclude by showing how none of these works directly addresses the problem space of the considered problem, but do provide a valuable basis for our work

Bookmarks Related papers MentionsView impact