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ردیف | عنوان | نوع |
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1 |
MARVEL: Enabling controller load balancing in software-defined networks with multi-agent reinforcement learning
MARVEL: امکان ایجاد توازن بار کنترل کننده در شبکه های تعریف شده توسط نرم افزار با یادگیری تقویتی چند عامل-2020 The control plane plays a significant role in Software-Defined Networking (SDN). A large SDN usually implements its control plane with several distributed controllers, each controlling a subset of switches and synchronizing with other controllers to maintain a consistent network view. Under the fluctuating network traffic, a static controller- switch mapping relationship could lead to imbalanced workload allocation. Controllers may getoverloaded and reject new requests, eventually reducing the control plane’s request processing ability. Most existing schemes have relied heavily on iterative optimization algorithms to manipulate the mapping relationship between con- trollers and switches, which are either time-consuming or less satisfactory in terms of performance. In this paper, we propose a dynamic controller workload balancing scheme, that is termed MARVEL, based on multi-agent re- inforcement learning for generation of switch migration actions. MARVEL works in two phases: offline training and online decision making. In the training phase, each agent learns how to migrate switches through interacting with the network. In the online phase, MARVEL is deployed to make decisions on migrating switches. Experimen- tal results show that MARVEL outperforms competing existing schemes by improving the control plane’s request processing ability at least 27.3% while using 25% less processing time. Index Terms: Multi-agent reinforcement learning | Neural networks | Software-defined networking | Switch migration |
مقاله انگلیسی |
2 |
SmartFCT: Improving power-efficiency for data center networks with deep reinforcement learning
SmartFCT: بهبود بهره وری انرژی برای شبکه های مرکز داده با یادگیری تقویتی عمیق-2020 Reducing the power consumption of Data Center Networks (DCNs) and guaranteeing the Flow Completion Time (FCT) of applications in DCNs are two major concerns for data center operators. However, existing works cannot realize the two goals together because of two issues: (1) dynamic traffic pattern in DCNs is hard to accurately model; (2) an optimal flow scheduling scheme is computationally expensive. In this paper, we propose SmartFCT, which employs the Deep Reinforcement Learning (DRL) coupled with Software-Defined Networking (SDN) to improve the power efficiency of DCNs and guarantee FCT. SmartFCT dynamically collects traffic distribution from switches to train its DRL model. The well-trained DRL agent of SmartFCT can quickly analyze the complicated traffic characteristics using neural networks and adaptively gen- erate a action for scheduling flows and deliberately configuring margins for different links. Following the gen- erated action, flows are consolidated into a few of active links and switches for saving power, and fine-grained margin configuration for active links avoids FCT violation of unexpected flow bursts. Simulation results show that SmartFCT can guarantee FCT and save up to 12.2% power consumption, compared with the state-of-the-art solutions. Keywords: Data center networks | Software-Defined networking | Power efficiency | Flow completion time | Deep reinforcement learning |
مقاله انگلیسی |
3 |
QoS provisioning for various types of deadline-constrained bulk data transfers between data centers
تامین کیفیت سرویس برای انواع مختلف انتقال داده های فشرده محدود بین مراکز داده-2020 An increasing number of applications in scientific and other domains have moved or are in active
transition to clouds, and the demand for big data transfers between geographically distributed cloudbased
data centers is rapidly growing. Many modern backbone networks leverage logically centralized
controllers based on software-defined networking (SDN) to provide advance bandwidth reservation
for data transfer requests. How to fully utilize the bandwidth resources of the links connecting data
centers with guaranteed quality of service for each user request is an important problem for cloud
service providers. Most existing work focuses on bandwidth scheduling for a single request for data
transfer or multiple requests using the same service model. In this work, we construct rigorous cost
models to quantify user satisfaction degree, and formulate a generic problem of bandwidth scheduling
for multiple deadline-constrained data transfer requests of different types to maximize the request
scheduling success ratio while minimizing the data transfer completion time of each request. We prove
this problem to be not only NP-complete but also non-approximable, and hence design a heuristic
algorithm. For performance evaluation, we establish a proof-of-concept emulated SDN testbed and
also generate large-scale simulation networks. Both experimental and simulation results show that the
proposed scheduling scheme significantly outperforms existing methods in terms of user satisfaction
degree and scheduling success ratio. Keywords: Big data | Data center | High-performance networks | Software-defined networking | Bandwidth scheduling |
مقاله انگلیسی |
4 |
تقویت میان افزار بر مبنی کاربردهای اینترنت اشیا از طریق مکانیسم مدیریت زمان اجرای قابل جابجایی کیفیت سرویس کاربرد برای یک M2M سازگار با میان افزار IOT
سال انتشار: 2018 - تعداد صفحات فایل pdf انگلیسی: 9 - تعداد صفحات فایل doc فارسی: 22 در سال های اخیر؛ در مخابرات و شبکه های کامپیوتری از طریق مجازی سازی عملکرد شبکه (NFV) و شبکه های تعریف شده نرم افزار (SDN)، مفاهیم و تکنولوژی های جدیدی را شاهد بوده اید. SDN، به برنامه های کاربردی برای کنترل شبکه اجازه می دهد، و NFV، اجازه می دهد تا توزیع توابع شبکه در محیط های مجازی، امکان پذیر شوند، اینها دو نمونه ای هستند که به طور فزاینده ای برای اینترنت اشیا (IoT) استفاده می شود. این اینترنت (IoT) وعده را به ارمغان می آورد که در چند سال آینده میلیاردها دستگاه را به هم متصل کند، و چالش های علمی متعددی را به ویژه در مورد رضایت از کیفیت خدمات (QoS) مورد نیاز برنامه های کاربردی IOT افزایش دهد. به منظور حل این مشکل، ما دو چالش را با توجه به QoS شناسایی کرده ایم: شبکه های متقاطع و نهادهای میانجی که اجازه می دهد تا برنامه با دستگاه های IoT ارتباط برقرار کند. در این مقاله؛ در ابتدا یک چشم انداز نواورانه از یک "عملکرد شبکه" با توجه به محیط توسعه و استقرار آن ارائه می کنیم. سپس، رویکرد کلی از یک راه حل که شامل گسترش پویا، مستقل و یکپارچه از مکانیزم های مدیریت QoS است، را توصیف می کنیم. همچنین مقررات اجرای چنین رویکردی را توصیف می کنیم. در نهایت؛ یک مکانیزم هدایتگر ارائه می کنیم، که به عنوان یک تابع شبکه اجرا می شود، و اجازه کنترل یکپارچه مسیر داده ها از یک ترافیک میان افزار مشخص را می دهد. این مکانیسم از طریق استفاده مربوط به حمل و نقل خودرو ارزیابی می شود.
کلمات کلیدی: اینترنت اشیا | کیفیت سرویس | میان افزار | چارچوب نمونه | گسترش پویا | عملکرد شبکه | محاسبات خودکار. |
مقاله ترجمه شده |
5 |
Proactive defense mechanisms for the software-defined Internet of Things with non-patchable vulnerabilities
مکانیسم های دفاعی بیش فعال برای اینترنت اشیا نرم افزار-تعریف شده با آسیب پذیری های غیر قابل آسیب پذیری-2017 The Internet of Things (IoT) contains a large number of heterogeneous devices with a variety of vul
nerabilities. As the vulnerabilities can be exploited by the attackers to break into the system, it is of
vital importance to patch all vulnerabilities. However, some vulnerabilities are impossible to patch (e.g.,
forever-day vulnerabilities). In order to deal with non-patchable vulnerabilities, we propose to change
the attack surface of the IoT network to increase the attack effort. With the support of software-defined
networking (SDN), we develop two proactive defense mechanisms that reconfigure the IoT network
topology. We analyze how the security and performance change when the proposed solutions are
deployed by using a graphical security model and various metrics in simulations. The results show our
proactive defense mechanisms in the SD-IoT effectively increase the attack effort, while maintaining the
average shortest path length.
Keywords: Internet of Things | Software-defined networking | Attack graphs | Security modeling |
مقاله انگلیسی |
6 |
طرح زمانبندی لنگر مبتنی بر SDN برای محلی سازی در شبکه های حسگر بی سیم ناهمگن
سال انتشار: 2017 - تعداد صفحات فایل pdf انگلیسی: 4 - تعداد صفحات فایل doc فارسی: 14 در این مقاله، طرح زمانبندی لنگر برای محلی سازی در شبکه های حسگر بی سیم ناهمگن (WSN ها) مورد مطالعه قرار می گیرد. به منظور به حداقل رسانیدن تعداد لنگرهای دارای مشارکت فعال برای طولانی تر کردن عمر شبکه، یک طرح زمانبندی لنگر مرکزی مبتنی بر الگوی شبکه کردن تعریف شده با نرم افزار (SDN) ارائه می دهیم. نخست یک عبارت که به ارزیابی درجه ی اتصال یک عامل می پردازد به دست آمده و برای قضاوت در این خصوص استفاده می شود که آیا این عامل تعداد لنگرهای متصل مورد نیاز برای محلی سازی را در اختیار دارد یا خیر؟ سپس وضعیت هر لنگر توسط کنترلگر SDN از طریق یک جدول جریان به واسطه ی حسگر جریان باز (SOF) تعیین می شود. شبیه سازی ها نشان می دهد که طرح زمانبندی لنگر پیشنهادی از تعداد لنگرهای فعال کاسته و طول عمر شبکه را افزایش می دهد. این را هم نشان می دهد که چنین طرحی تعداد مطلوب لنگر برای محلی سازی را تضمین نموده و می تواند مصالحه ی دقت محلی سازی برای انرژی با اطمینان از تعادل بهتر مصرف انرژی در میان تعداد حداقلی لنگرهای فعال، را موجب شود.
کلیدواژه ها: شبکه های حسگر بی سیم ناهمگن | محلی سازی | طرح زمانبندی لنگر | شبکه سازی تعریف-شده با نرم افزار. |
مقاله ترجمه شده |
7 |
Lark: An effective approach for software-defined networking in high throughput computing clusters
Lark: رویکرد موثر برای شبکه های تعریف شده توسط نرم افزار در خوشه های محاسباتی با توان بالا-2017 High throughput computing (HTC) systems are widely adopted in scientific discovery and engineering
research. They are responsible for scheduling submitted batch jobs to utilize the cluster resources. Current
systems mostly focus on managing computing resources like CPU and memory; however, they lack
flexible and fine-grained management mechanisms for network resources. This has increasingly been
an urgent need as current batch systems may be distributed among dozens of sites around the globe like
Open Science Grid. The Lark project was motivated by this need to re-examine how the HTC layer interacts
with the network layer.
In this paper, we present the system architecture of Lark and its implementation as a plugin of
HTCondor which is a popular HTC software project. Lark achieves lightweight network virtualization at
per-job granularity for HTCondor by utilizing Linux container and virtual Ethernet devices; this provides
each batch job with a unique network address in a private network namespace. We extended HTCondor’s
description language, ClassAds, so users can specify networking requirements in the job submission script.
HTCondor can perform matchmaking to make sure user-specified network requirements and resource
specific policies are fulfilled. We also extended the job agent, condor_starter, so that it can manage and
configure the job’s network environment. Given this important building block as the core, we implement
bandwidth management functionality at both the host and network levels utilizing software-defined
networking (SDN). In addition to HTCondor, Wide area network bandwidth management for GridFTP
traffic is designed and implemented. Our experiments and evaluations show that Lark can effectively
manage network resources simultaneously for both applications inside the cluster environment. By not
resorting to heavyweight VMs, we keep startup overheads minimal compared to ‘‘regular’’ batch jobs. This
mechanism provides the users with better predictability of their job execution and the administrators
more policy flexibility in allocation of network resources.
Keywords: High throughput computing | HTCondor | Bandwidth management | Software-defined networking | Network-aware scheduling |
مقاله انگلیسی |
8 |
Proactive defense mechanisms for the software-defined Internet of Things with non-patchable vulnerabilities
مکانیسم های پیشگیرانه دفاع برای نرم افزار اینترنت اشیاء با اسیب پذیری های غیر قابل آسیب-2017 The Internet of Things (IoT) contains a large number of heterogeneous devices
with a variety of vulnerabilities. As the vulnerabilities can be exploited by
the attackers to break into the system, it is of vital importance to patch all
vulnerabilities. However, some vulnerabilities are impossible to patch (e.g.,
forever-day vulnerabilities). In order to deal with non-patchable vulnerabilities,
we propose to change the attack surface of the IoT network to increase the
attack effort. With the support of software-defined networking (SDN), we
develop two proactive defense mechanisms that reconfigure the IoT network
topology. We analyze how the security and performance change when the
proposed solutions are deployed by using a graphical security model and various
metrics in simulations. The results show our proactive defense mechanisms in
the SD-IoT effectively increase the attack effort, while maintaining the average
shortest path length.
Keywords: Internet of Things | Software-Defined Networking | Attack Graphs | Security Modeling |
مقاله انگلیسی |
9 |
Distributed controllers multi-granularity security communication mechanism for software-defined networking
کنترل کننده های توزیع کننده مکانیسم ارتباطات امنیتی چند منظوره برای شبکه های تعریف شده توسط نرم افزار-2017 For the multi-domain software defined network (SDN), different controllers are not able to
directly communicate with each other due to the different distances among control planes.
Therefore, the exchange of information among different domains is generally unsecure. The
main contribution of this paper can be summarized into two parts. Firstly, architecture of
multi-granularity security controller is proposed, which includes a basic control module
and a multi-granularity security customized module. Secondly, a secure communication
mechanism is proposed for distributed controller, where a prototype of this mechanism is
implemented. In particular, this mechanism can make use of the border switch as inter
domain agents, where special packets are used by the controller to send messages to the
secure tunnel. A two-step authentication of the controller can be provided by inter-domain
agents and digital certificates. The experimental results demonstrate that the distributed
controller secure communication mechanism is capable of effectively improving the secu
rity of SDN domain.
Keywords: Software defined network | Security architecture | Secure communication |
مقاله انگلیسی |
10 |
A low overhead flow-holding algorithm in software-defined networks
الگوریتم نگهداری جریان سربار کم در شبکه های تعریف شده توسط نرم افزار-2017 Software-Defined Networking (SDN) allows flexible and efficient management of networks. However, the
limited capacity of flow tables in SDN switches hinders the deployment of SDN. In this paper, we propose
a novel routing scheme to improve the efficiency of flow tables in SDNs. To efficiently use the routing
scheme, we formulate an optimization problem with the objective to maximize the number of flows
in the network, constrained by the limited flow table space in SDN switches. The problem is NP-hard,
and we propose the K Similar Greedy Tree (KSGT) algorithm to solve it. We evaluate the performance
of KSGT against “traditional” SDN solutions with real-world topologies and traffic. The results show that,
compared to the existing solutions, KSGT can reduce about 60% of flow entries when processing the same
amount of flows, and improve about 25% of the successful installation and forwarding flows under the
same flow table space.
Keywords: Software-defined networking | MPLS | Flow table reuse | Overhead |
مقاله انگلیسی |