58,967 research outputs found
Evolution of Orchestration Towards 5G
Service orchestration is an essential activity in 5G networks. It performs optimal resource allocation and provisions services in an effective sequence based on demands across a collection of physical or virtual network functions (P/VNF). This paper summarizes several orchestration environments and components along with their evolution towards 5G. A brief operational comparison of platforms such as Open Source Management and Orchestration (OSM MANO), Open Platform for NFV (OPNFV) and Open Network Automation Platform (ONAP) have been presented, along with different deployment models and architectural alternatives
Energy-Efficient Management of Data Center Resources for Cloud Computing: A Vision, Architectural Elements, and Open Challenges
Cloud computing is offering utility-oriented IT services to users worldwide.
Based on a pay-as-you-go model, it enables hosting of pervasive applications
from consumer, scientific, and business domains. However, data centers hosting
Cloud applications consume huge amounts of energy, contributing to high
operational costs and carbon footprints to the environment. Therefore, we need
Green Cloud computing solutions that can not only save energy for the
environment but also reduce operational costs. This paper presents vision,
challenges, and architectural elements for energy-efficient management of Cloud
computing environments. We focus on the development of dynamic resource
provisioning and allocation algorithms that consider the synergy between
various data center infrastructures (i.e., the hardware, power units, cooling
and software), and holistically work to boost data center energy efficiency and
performance. In particular, this paper proposes (a) architectural principles
for energy-efficient management of Clouds; (b) energy-efficient resource
allocation policies and scheduling algorithms considering quality-of-service
expectations, and devices power usage characteristics; and (c) a novel software
technology for energy-efficient management of Clouds. We have validated our
approach by conducting a set of rigorous performance evaluation study using the
CloudSim toolkit. The results demonstrate that Cloud computing model has
immense potential as it offers significant performance gains as regards to
response time and cost saving under dynamic workload scenarios.Comment: 12 pages, 5 figures,Proceedings of the 2010 International Conference
on Parallel and Distributed Processing Techniques and Applications (PDPTA
2010), Las Vegas, USA, July 12-15, 201
A Review on Software Architectures for Heterogeneous Platforms
The increasing demands for computing performance have been a reality
regardless of the requirements for smaller and more energy efficient devices.
Throughout the years, the strategy adopted by industry was to increase the
robustness of a single processor by increasing its clock frequency and mounting
more transistors so more calculations could be executed. However, it is known
that the physical limits of such processors are being reached, and one way to
fulfill such increasing computing demands has been to adopt a strategy based on
heterogeneous computing, i.e., using a heterogeneous platform containing more
than one type of processor. This way, different types of tasks can be executed
by processors that are specialized in them. Heterogeneous computing, however,
poses a number of challenges to software engineering, especially in the
architecture and deployment phases. In this paper, we conduct an empirical
study that aims at discovering the state-of-the-art in software architecture
for heterogeneous computing, with focus on deployment. We conduct a systematic
mapping study that retrieved 28 studies, which were critically assessed to
obtain an overview of the research field. We identified gaps and trends that
can be used by both researchers and practitioners as guides to further
investigate the topic
Automated Network Service Scaling in NFV: Concepts, Mechanisms and Scaling Workflow
Next-generation systems are anticipated to be digital platforms supporting
innovative services with rapidly changing traffic patterns. To cope with this
dynamicity in a cost-efficient manner, operators need advanced service
management capabilities such as those provided by NFV. NFV enables operators to
scale network services with higher granularity and agility than today. For this
end, automation is key. In search of this automation, the European
Telecommunications Standards Institute (ETSI) has defined a reference NFV
framework that make use of model-driven templates called Network Service
Descriptors (NSDs) to operate network services through their lifecycle. For the
scaling operation, an NSD defines a discrete set of instantiation levels among
which a network service instance can be resized throughout its lifecycle. Thus,
the design of these levels is key for ensuring an effective scaling. In this
article, we provide an overview of the automation of the network service
scaling operation in NFV, addressing the options and boundaries introduced by
ETSI normative specifications. We start by providing a description of the NSD
structure, focusing on how instantiation levels are constructed. For
illustrative purposes, we propose an NSD for a representative NS. This NSD
includes different instantiation levels that enable different ways to
automatically scale this NS. Then, we show the different scaling procedures the
NFV framework has available, and how it may automate their triggering. Finally,
we propose an ETSI-compliant workflow to describe in detail a representative
scaling procedure. This workflow clarifies the interactions and information
exchanges between the functional blocks in the NFV framework when performing
the scaling operation.Comment: This work has been accepted for publication in the IEEE
Communications Magazin
A morphogenetic crop model for sugar-beet (Beta vulgaris L.)
This paper is the instructions for the proceeding of the International
Symposium on Crop. Sugar beet crop models have rarely taken into account the
morphogenetic process generating plant architecture despite the fact that plant
architectural plasticity plays a key role during growth, especially under
stress conditions. The objective of this paper is to develop this approach by
applying the GreenLab model of plant growth to sugar beet and to study the
potential advantages for applicative purposes. Experiments were conducted with
husbandry practices in 2006. The study of sugar beet development, mostly
phytomer appearance, organ expansion and leaf senescence, allowed us to define
a morphogenetic model of sugar beet growth based on GreenLab. It simulates
organogenesis, biomass production and biomass partitioning. The functional
parameters controlling source-sink relationships during plant growth were
estimated from organ and compartment dry masses, measured at seven different
times, for samples of plants. The fitting results are good, which shows that
the introduced framework is adapted to analyse source-sink dynamics and
shoot-root allocation throughout the season. However, this approach still needs
to be fully validated, particularly among seasons
A Taxonomy for Management and Optimization of Multiple Resources in Edge Computing
Edge computing is promoted to meet increasing performance needs of
data-driven services using computational and storage resources close to the end
devices, at the edge of the current network. To achieve higher performance in
this new paradigm one has to consider how to combine the efficiency of resource
usage at all three layers of architecture: end devices, edge devices, and the
cloud. While cloud capacity is elastically extendable, end devices and edge
devices are to various degrees resource-constrained. Hence, an efficient
resource management is essential to make edge computing a reality. In this
work, we first present terminology and architectures to characterize current
works within the field of edge computing. Then, we review a wide range of
recent articles and categorize relevant aspects in terms of 4 perspectives:
resource type, resource management objective, resource location, and resource
use. This taxonomy and the ensuing analysis is used to identify some gaps in
the existing research. Among several research gaps, we found that research is
less prevalent on data, storage, and energy as a resource, and less extensive
towards the estimation, discovery and sharing objectives. As for resource
types, the most well-studied resources are computation and communication
resources. Our analysis shows that resource management at the edge requires a
deeper understanding of how methods applied at different levels and geared
towards different resource types interact. Specifically, the impact of mobility
and collaboration schemes requiring incentives are expected to be different in
edge architectures compared to the classic cloud solutions. Finally, we find
that fewer works are dedicated to the study of non-functional properties or to
quantifying the footprint of resource management techniques, including
edge-specific means of migrating data and services.Comment: Accepted in the Special Issue Mobile Edge Computing of the Wireless
Communications and Mobile Computing journa
Management and Service-aware Networking Architectures (MANA) for Future Internet Position Paper: System Functions, Capabilities and Requirements
Future Internet (FI) research and development threads have recently been gaining momentum all over the world and as such the international race to create a new generation Internet is in full swing: GENI, Asia Future Internet, Future Internet Forum Korea, European Union Future Internet Assembly (FIA). This is a position paper identifying the research orientation with a time horizon of 10 years, together with the key challenges for the capabilities in the Management and Service-aware Networking Architectures (MANA) part of the Future Internet (FI) allowing for parallel and federated Internet(s)
Effectiveness of segment routing technology in reducing the bandwidth and cloud resources provisioning times in network function virtualization architectures
Network Function Virtualization is a new technology allowing for a elastic cloud and bandwidth resource allocation. The technology requires an orchestrator whose role is the service and resource orchestration. It receives service requests, each one characterized by a Service Function Chain, which is a set of service functions to be executed according to a given order. It implements an algorithm for deciding where both to allocate the cloud and bandwidth resources and to route the SFCs. In a traditional orchestration algorithm, the orchestrator has a detailed knowledge of the cloud and network infrastructures and that can lead to high computational complexity of the SFC Routing and Cloud and Bandwidth resource Allocation (SRCBA) algorithm. In this paper, we propose and evaluate the effectiveness of a scalable orchestration architecture inherited by the one proposed within the European Telecommunications Standards Institute (ETSI) and based on the functional separation of an NFV orchestrator in Resource Orchestrator (RO) and Network Service Orchestrator (NSO). Each cloud domain is equipped with an RO whose task is to provide a simple and abstract representation of the cloud infrastructure. These representations are notified of the NSO that can apply a simplified and less complex SRCBA algorithm. In addition, we show how the segment routing technology can help to simplify the SFC routing by means of an effective addressing of the service functions. The scalable orchestration solution has been investigated and compared to the one of a traditional orchestrator in some network scenarios and varying the number of cloud domains. We have verified that the execution time of the SRCBA algorithm can be drastically reduced without degrading the performance in terms of cloud and bandwidth resource costs
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