8,821 research outputs found
A Taxonomy and Future Directions for Sustainable Cloud Computing: 360 Degree View
The cloud computing paradigm offers on-demand services over the Internet and
supports a wide variety of applications. With the recent growth of Internet of
Things (IoT) based applications the usage of cloud services is increasing
exponentially. The next generation of cloud computing must be energy-efficient
and sustainable to fulfil the end-user requirements which are changing
dynamically. Presently, cloud providers are facing challenges to ensure the
energy efficiency and sustainability of their services. The usage of large
number of cloud datacenters increases cost as well as carbon footprints, which
further effects the sustainability of cloud services. In this paper, we propose
a comprehensive taxonomy of sustainable cloud computing. The taxonomy is used
to investigate the existing techniques for sustainability that need careful
attention and investigation as proposed by several academic and industry
groups. Further, the current research on sustainable cloud computing is
organized into several categories: application design, sustainability metrics,
capacity planning, energy management, virtualization, thermal-aware scheduling,
cooling management, renewable energy and waste heat utilization. The existing
techniques have been compared and categorized based on the common
characteristics and properties. A conceptual model for sustainable cloud
computing has been proposed along with discussion on future research
directions.Comment: 68 pages, 38 figures, ACM Computing Surveys, 201
Load Balancing with preemptive and non-preemptive task scheduling in Cloud Computing
In Cloud computing environment the resources are managed dynamically based on
the need and demand for resources for a particular task. With a lot of
challenges to be addressed our concern is Load balancing where load balancing
is done for optimal usage of resources and reduces the cost associated with it
as we use pay-as-you-go policy. The task scheduling is done by the cloud
service provider using preemption and non-preemption based on the requirements
in a virtualized scenario which has been focused here. In this paper, various
task scheduling algorithms are studied to present the dynamic allocation of
resources under each category and the ways each of this scheduling algorithm
adapts to handle the load and have high-performance computin
All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey
With the Internet of Things (IoT) becoming part of our daily life and our
environment, we expect rapid growth in the number of connected devices. IoT is
expected to connect billions of devices and humans to bring promising
advantages for us. With this growth, fog computing, along with its related edge
computing paradigms, such as multi-access edge computing (MEC) and cloudlet,
are seen as promising solutions for handling the large volume of
security-critical and time-sensitive data that is being produced by the IoT. In
this paper, we first provide a tutorial on fog computing and its related
computing paradigms, including their similarities and differences. Next, we
provide a taxonomy of research topics in fog computing, and through a
comprehensive survey, we summarize and categorize the efforts on fog computing
and its related computing paradigms. Finally, we provide challenges and future
directions for research in fog computing.Comment: 48 pages, 7 tables, 11 figures, 450 references. The data (categories
and features/objectives of the papers) of this survey are now available
publicly. Accepted by Elsevier Journal of Systems Architectur
Application Management in Fog Computing Environments: A Taxonomy, Review and Future Directions
The Internet of Things (IoT) paradigm is being rapidly adopted for the
creation of smart environments in various domains. The IoT-enabled
Cyber-Physical Systems (CPSs) associated with smart city, healthcare, Industry
4.0 and Agtech handle a huge volume of data and require data processing
services from different types of applications in real-time. The Cloud-centric
execution of IoT applications barely meets such requirements as the Cloud
datacentres reside at a multi-hop distance from the IoT devices. \textit{Fog
computing}, an extension of Cloud at the edge network, can execute these
applications closer to data sources. Thus, Fog computing can improve
application service delivery time and resist network congestion. However, the
Fog nodes are highly distributed, heterogeneous and most of them are
constrained in resources and spatial sharing. Therefore, efficient management
of applications is necessary to fully exploit the capabilities of Fog nodes. In
this work, we investigate the existing application management strategies in Fog
computing and review them in terms of architecture, placement and maintenance.
Additionally, we propose a comprehensive taxonomy and highlight the research
gaps in Fog-based application management. We also discuss a perspective model
and provide future research directions for further improvement of application
management in Fog computing
Synchronized Multi-Load Balancer with Fault Tolerance in Cloud
In this method, service of one load balancer can be borrowed or shared among
other load balancers when any correction is needed in the estimation of the
load.Comment: 8 Pages, 10 figure
A Survey on 5G: The Next Generation of Mobile Communication
The rapidly increasing number of mobile devices, voluminous data, and higher
data rate are pushing to rethink the current generation of the cellular mobile
communication. The next or fifth generation (5G) cellular networks are expected
to meet high-end requirements. The 5G networks are broadly characterized by
three unique features: ubiquitous connectivity, extremely low latency, and very
high-speed data transfer. The 5G networks would provide novel architectures and
technologies beyond state-of-the-art architectures and technologies. In this
paper, our intent is to find an answer to the question: "what will be done by
5G and how?" We investigate and discuss serious limitations of the fourth
generation (4G) cellular networks and corresponding new features of 5G
networks. We identify challenges in 5G networks, new technologies for 5G
networks, and present a comparative study of the proposed architectures that
can be categorized on the basis of energy-efficiency, network hierarchy, and
network types. Interestingly, the implementation issues, e.g., interference,
QoS, handoff, security-privacy, channel access, and load balancing, hugely
effect the realization of 5G networks. Furthermore, our illustrations highlight
the feasibility of these models through an evaluation of existing
real-experiments and testbeds.Comment: Accepted in Elsevier Physical Communication, 24 pages, 5 figures, 2
table
Mobile Edge Cloud: Opportunities and Challenges
Mobile edge cloud is emerging as a promising technology to the internet of
things and cyber-physical system applications such as smart home and
intelligent video surveillance. In a smart home, various sensors are deployed
to monitor the home environment and physiological health of individuals. The
data collected by sensors are sent to an application, where numerous algorithms
for emotion and sentiment detection, activity recognition and situation
management are applied to provide healthcare- and emergency-related services
and to manage resources at the home. The executions of these algorithms require
a vast amount of computing and storage resources. To address the issue, the
conventional approach is to send the collected data to an application on an
internet cloud. This approach has several problems such as high communication
latency, communication energy consumption and unnecessary data traffic to the
core network. To overcome the drawbacks of the conventional cloud-based
approach, a new system called mobile edge cloud is proposed. In mobile edge
cloud, multiple mobiles and stationary devices interconnected through wireless
local area networks are combined to create a small cloud infrastructure at a
local physical area such as a home. Compared to traditional mobile distributed
computing systems, mobile edge cloud introduces several complex challenges due
to the heterogeneous computing environment, heterogeneous and dynamic network
environment, node mobility, and limited battery power. The real-time
requirements associated with the internet of things and cyber-physical system
applications make the problem even more challenging. In this paper, we describe
the applications and challenges associated with the design and development of
mobile edge cloud system and propose an architecture based on a cross layer
design approach for effective decision making.Comment: 4th Annual Conference on Computational Science and Computational
Intelligence, December 14-16, 2017, Las Vegas, Nevada, USA. arXiv admin note:
text overlap with arXiv:1810.0704
A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications
As the explosive growth of smart devices and the advent of many new
applications, traffic volume has been growing exponentially. The traditional
centralized network architecture cannot accommodate such user demands due to
heavy burden on the backhaul links and long latency. Therefore, new
architectures which bring network functions and contents to the network edge
are proposed, i.e., mobile edge computing and caching. Mobile edge networks
provide cloud computing and caching capabilities at the edge of cellular
networks. In this survey, we make an exhaustive review on the state-of-the-art
research efforts on mobile edge networks. We first give an overview of mobile
edge networks including definition, architecture and advantages. Next, a
comprehensive survey of issues on computing, caching and communication
techniques at the network edge is presented respectively. The applications and
use cases of mobile edge networks are discussed. Subsequently, the key enablers
of mobile edge networks such as cloud technology, SDN/NFV and smart devices are
discussed. Finally, open research challenges and future directions are
presented as well
Delivering IT as A Utility- A Systematic Review
Utility Computing has facilitated the creation of new markets that has made
it possible to realize the long held dream of delivering IT as a Utility. Even
though utility computing is in its nascent stage today, the proponents of
utility computing envisage that it will become a commodity business in the
upcoming time and utility service providers will meet all the IT requests of
the companies. This paper takes a cross-sectional view at the emergence of
utility computing along with different requirements needed to realize utility
model. It also surveys the current trends in utility computing highlighting
diverse architecture models aligned towards delivering IT as a utility.
Different resource management systems for proficient allocation of resources
have been listed together with various resource scheduling and pricing
strategies used by them. Further, a review of generic key perspectives closely
related to the concept of delivering IT as a Utility has been taken citing the
contenders for the future enhancements in this technology in the form of Grid
and Cloud Computing.Comment: No. of Pages- 20 No. of Figures- 3 No. of Tables- 1
Base Station ON-OFF Switching in 5G Wireless Networks: Approaches and Challenges
To achieve the expected 1000x data rates under the exponential growth of
traffic demand, a large number of base stations (BS) or access points (AP) will
be deployed in the fifth generation (5G) wireless systems, to support high data
rate services and to provide seamless coverage. Although such BSs are expected
to be small-scale with lower power, the aggregated energy consumption of all
BSs would be remarkable, resulting in increased environmental and economic
concerns. In existing cellular networks, turning off the under-utilized BSs is
an efficient approach to conserve energy while preserving the quality of
service (QoS) of mobile users. However, in 5G systems with new physical layer
techniques and the highly heterogeneous network architecture, new challenges
arise in the design of BS ON-OFF switching strategies. In this article, we
begin with a discussion on the inherent technical challenges of BS ON-OFF
switching. We then provide a comprehensive review of recent advances on
switching mechanisms in different application scenarios. Finally, we present
open research problems and conclude the paper.Comment: Appear to IEEE Wireless Communications, 201
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