A Survey of Cloud Computing and Social Networks
نویسندگان
چکیده
منابع مشابه
A Survey of Cloud Computing and Social Networks
In recent years there has been rapid growth in cloud computing and social networking technologies. Cloud computing shifts the computing resources to a third party, eliminating the need to purchase, configure and maintain those resources. With the incentive of lowered operational costs in software, hardware and human effort, many companies are considering the use of cloud services. Likewise, soc...
متن کاملA survey on impact of cloud computing security challenges on NFV infrastructure and risks mitigation solutions
Increased broadband data rate for end users and the cost of resource provisioning to an agreed SLA in telecom service providers, are forcing operators in order to adhere to employment Virtual Network Functions (VNF) in an NFV solution. The newly 5G mobile telecom technology is also based on NFV and Software Define Network (SDN) which inherit opportunities and threats of such constructs. Thus a ...
متن کاملCloud Computing; A New Approach to Learning and Learning
Introduction: The cloud computing and services, as a technological solution for developing educational services, can accelerate the provision and expansion of these highly useful services. This study intended to provide an overall picture of practical areas of learning services based on cloud computing teaching and learning equipment. Methods: This was a theoretical hybrid research study in whi...
متن کاملCloud Computing Issues - A Survey
Cloud Computing is being adopted by many companies because of its capacity to use computing and storage resources on a metered basis thereby reducing the investments in infrastructure. With all its benefits, cloud computing also brings along concerns about the security, privacy and jurisdiction because of its size, structure, and geographical dispersion. This paper tries to explore these concer...
متن کاملA Survey on Cloud Computing
Cloud computing provides customers the illusion of infinite computing resources which are available from anywhere, anytime, on demand. Computing at such an immense scale requires a framework that can support extremely large datasets housed on clusters of commodity hardware. Two examples of such frameworks are Google’s MapReduce and Microsoft’s Dryad. First we discuss implementation details of t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Network and Communication Technologies
سال: 2013
ISSN: 1927-0658,1927-064X
DOI: 10.5539/nct.v2n2p11