discussed in this chapter and research questions as formulated in the introduction chapter are discussed against the data that has been made available in the sample used for the study. Cloud computing is the latest in information technology and the sophistication of the technology appears to be advancing every six months, keeping up with the cloud technology and the different types of clouds that have emerged within the technology to suit different types of business environment have also increased the
Analysis of Techniques of Data Replication in Cloud Environment Funmilola Okelana Harrisburg University Abstract As a Business System Analyst, most of my responsibilities involve working with big data. Data management is key to the success of any company. This includes, data security, data availability and assessment. Many companies need to replicate data that is both in cloud or other infrastructures for various purposes including; uptime and resilience, remote backup and storage, branches
How Will The Cloud Be Able to Handle the Emergence of IoT Cloud computing and the Internet of Things (IoT) have spent the last several years in a sort of maximum-acceleration race where they’ve lapped the other players several times over and have only one another to measure against. IOT Expansion and Cloud Capacity Neither is slowing down, particularly the IoT. According to analysis firm Gartner, the number of IoT devices will hit 20.8 billion by 2020. The world population is expected to reach
the latest trends in the log analysis based monitoring tools of cloud which also provides the features for forensics ability. We list below our analysis of different papers we read which pertains information related to our topic. We have analyzed various tools and techniques available, which are doing log analysis on a cloud. The motive of which is to create a novel log based private cloud analysis build with the help of OpenStack cloud operating system. The paper ‘Cloud Computing Log Forensics- The
the latest trends in the log analysis based monitoring tools of cloud which also provides the features for forensics ability. We list below our analysis of different papers we read which pertains information related to our topic. We have analyzed various tools and techniques available, which are doing log analysis on a cloud. The motive of which is to create a novel log based private cloud analysis build with the help of OpenStack cloud operating system. The paper ‘Cloud Computing Log Forensics- The
the immense data generated in smart city. Fog computing can also be called as edge computing, is a distributed computing infrastructure in nature, for smart devices like mobile phones the application services should be maintained near the end user side but the services are handled at remote data server i.e. in cloud. Our aim is to reduce the amount of storage required, the time required in data processing and data analysis and the propagation time in cloud computing. Thus by handling data at network
5.2. Residual Artifacts on Android Devices In these experiments, we performed a series of read, upload, and download operations on the sample data-set. The important parts and files of each browser are listed in Table-3. The investigation of each operation on each experimental VM is exposed in the later tables. This experiment found that the majority of artifacts are stored in database files of the storage layer of Android. File Viewer plus [4] HHHexEditorNeo [7] and SQLite DB Browser [14] are used
Introduction This paper will present a fictitious statistical analysis of cloud computing, and the number of security issues encountered by a variety of organization types. The fictitious organizations were surveyed to collect data on the number of software and hardware applications outsourced to the cloud, and the number of security issues encountered. According to (Whitman and Mattord, 2012), information Security is the protection of the lifeblood of the organization — its information. Specifically
4. Forensic Analysis in the Cloud Environment Cloud Forensics combines cloud computing and digital forensics. It is concerned with computer forensics with some consideration to network/intrusion forensics. Computer forensic focus on using procedures to create audit trails based on the residing data. Network forensic focus on analyzing network traffic and gathering information by monitoring that traffic to extract or collect information that might be considered a possible evidence. Intrusion forensic
I choose to compare Yelp, TripAdvisor and Netflix. They all offer service on-line. The similar big data challenges for them is that in face of mountains of data, they changed their data strategy and adjust to the market quickly. Yelp, launched in 2004, has evolved so much from identifying great restaurants in urban areas to providing user-generated recommendations on a variety of merchants across more than 30 countries, having it service mainly in the form of mobile device. Since January 2013, yelp