با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
ردیف | عنوان | نوع |
---|---|---|
1 |
Security challenges with network functions virtualization
چالش های امنیتی با توابع شبکه مجازی سازی -2017 The advent of network functions virtualization (NFV) has revolutionized numerous network-based
applications due to its several benefits such as flexibility, manageability, scalability, and security. By the
software-based virtualization of network functions on a single infrastructure, NFV provides users with
a framework that dynamically provisions various network services in a flexible manner. However, NFV
faces several security challenges (e.g., multi-tenancy and live migration) which make it vulnerable to some
cybersecurity attacks (e.g., side-channel attacks and shared resource misuse attacks). In this paper, we
provide an overview of NFV, discuss potentially serious security threats on NFV and introduce effective
countermeasures to mitigate those threats. Finally, we suggest some practical solutions to provide a
trustworthy platform for NFV.
Keywords: Network functions virtualization | Network security | Virtualized network function | Security threats |
مقاله انگلیسی |
2 |
Communication Cost Efficient Virtualized Network Function Placement for Big Data Processing
Communication Cost Efficient Virtualized Network Function Placement for Big Data Processing-2016 The data explosion in the emerging big data era
imposes a big burden on the network infrastructure. This vision
has urged the evolution of computer networks. By softwarizing
traditional dedicated hardware based functions to virtualized
network function (VNF) that can run on standard commodity servers, network function virtualization (NFV) technology
promises increased networking efficiency, flexibility and scalability. From the perspective of network service providers, with the
consideration of big data traffic volume, one primary concern is
on the communication cost, which is highly influenced by the VNF
placement strategy. In this paper, we are motivated to investigate
the issue on communication cost efficient VNF placement problem
for big data processing, with joint consideration of network flow
balancing and the predetermined network service semantics. We
formulate this problem into a mixed-integer linear programming
(MILP) form and then propose a low-complexity relaxationbased heuristic algorithm accordingly. The high efficiency of our
proposal is validated by extensive simulation studies.
Keywords: Noise measurement | Big data | Distributed databases | Algorithm design and analysis | Servers | Heuristic algorithms | Semantics |
مقاله انگلیسی |