The global data volume is exploding. The joint research of Seagate and IDC shows that the global data volume will reach 163ZB by 2025. The research also shows that the world data mainly comes from enterprises, accounting for up to 60%. We have entered the data age. Almost every enterprise, whether it is a traditional enterprise or an emerging Internet enterprise, is affected by the trend of big data. Massive data provides new ideas for the development of enterprises and helps enterprises make the most correct strategic choices. LoT, deep learning, and face recognition, which are popular nowadays, all benefit from the flexible application of big data. Massive data brings opportunities for enterprises, while challenges are inevitable. Data are often stored in the hands of different people in different devices and different geographical locations, or in the cloud or locally, and data are scattered everywhere, forming data islands. Only by breaking the data islands and making data flow at high speed can the maximum value of data be brought into play. Using file transfer software, large files and massive files can be sent effortlessly, with little or no downtime, which is a great optimization of traditional file transfer solutions . At present, there are some file transfer software on the market , which allows users to send files or folders of any size, eliminating the trouble of using complex and time-consuming FTP solutions or e-mail servers that cannot handle large files. The Raysync high speed large file transfer software will also generate detailed report logs about users and file transfer operations, thus effectively improving the compliance of file transfer. Raysync transfer protocol runs in the application layer and user space of the system, and does not need to modify the kernel configuration of the operating system; The Raysync transfer protocol provides a series of easy-to-use SDK , API and clear and complete development documents to help users integrate quickly. "For today's enterprises and future entrepreneurs, the opportunities to obtain data value are unparalleled, and global business leaders will explore these opportunities in the coming decades."

Recently, Raysync released its new version V5.0.8.8. In this article, we'll interpret the eight new functions of V5.0.8.8 in detail, let's have a look! 1. Add "Delete files automatically " option 1) Click "Local storage" in the Storage option, you will find the local storage details and file delete option. The file delete setting only supports non-third-party object storage. 2) Check "Delete files automatically", it supports set automatically delete files which accessed/modified X days ago. For example, you could set automatically delete files that accessed seven days ago. 3) Set the directory to recycle the deleted files. All files automatically cleaned by users will be recycled to this directory, where users can retrieve files or clean files with one click. 2. File transfer in priority When there is more than one task waiting to be transmitted to the client, the task will be transferred in sequence. If you want to transfer one of the tasks in priority, you could click the "Top priority" icon to sort all the transfer tasks. 3. Add Google cloud storage Google cloud storage is added to the third-party cloud storages. 4. Support copy and paste the file path Raysync supports copying and pasting the file paths. For files with a deep directory, you could copy the path and forward it to your partners, and the they can quickly access the designated file/folder by pasting the path, which saving the time of step-by-step clicking. 5. Support query download times and user IP You could query about the download times and IP address of the shared files with this new function. 6. Support set the number of transferred files in parallel In general, the number of transferred files depends on the number of CPU-core. In V5.0.8.8, we add a new function to set the number of transferred files in parallel. Note: if the number you set to transfer in parallel exceeds the quantity of CPU cores, files will still be transmitted according to the number of CPU cores. 7. Support set whether to enable password for file sharing Raysync V5.0.8.8 supports enable or disable the sharing password. Besides, users are supported to custom the passwords . 8. Both files and folders can be selected for uploading Raysync optimizes the file uploading function, the new version supports selecting files and folders to upload at the same time, making it easier for users to operate and use.

Cross-border large file transfer and transnational transfer have to face the network transfer environment of ultra-long distance and weak network. If you want to transfer files fast, read on to learn how professional file transfer software Raysync transfers. For Congestion Handling: - More effective congestion judgment and treatment. - The recovery mechanism of packet loss judgment is carried out more accurately and timely. At present, the mainstream congestion judgment is designed based on the network situation data back to twenty years ago, and its basic assumption is that any packet loss reflects the network congestion. This assumption is completely out of line with the modern network situation. Packet loss in modern networks is often not caused by congestion factors. This disconnection leads to the transfer protocol often entering an overly conservative transfer state. The congestion detection algorithm of Raysync transfer protocol automatically collects the existing background transfer information on the path, and accurately judges the actual congestion situation according to the transfer speed, which is neither too conservative nor too radical, and can effectively make full use of the path bandwidth. For Packet Loss: - The standard TCP protocol tells the packet loss from two methods. - The receiving end continuously confirms the number of Dup-ACK. - ACK timeout. When the situation of packet loss always happens, the ACK is needed to judge the timeout and trigger to retransfer. Packet loss in modern networks is often burst, and it is common for multiple data packets to be lost at the same time on a connection. Therefore, standard TCP often relies on time-out to retransmit holes, which often leads to a waiting state of several seconds or even ten seconds, which makes transfer stagnate or even interrupt for a long time. This is one of the main problems affecting the efficiency of standard TCP. Raysync transfer protocol abandons TCP protocol's practice of using transfer message sequence as both transfer byte count and reliable transfer confirmation identifier and designs a brand-new ACK data algorithm. According to the ACK information returned by the transfer receiver, the transfer sender can accurately judge the packet loss and retransfer the data at the first time, instead of relying on the cumulative acknowledgment of multiple acks or the ack timeout timer to trigger the data retransfer, which greatly improves the transfer speed and transfer real-time. Raysync transfer protocol can make full use of large bandwidth network and transmit data at the fastest speed. In the application scenario of mass data distribution, it can help users to complete big data transfer and cross-border file transfer in the least time.

With the iteration and development of information technology, the information and technical barriers between traditional media in different forms, such as newspapers, television, and radio, have been broken, and the boundaries between traditional media and new media, such as the Internet, have been gradually dissolved. For media organizations specializing in content production, audio transmission, video transmission, text, pictures, and other file contents are the cornerstone of their survival and development. How to quickly realize content collection, production and distribution is the source power for the industry to maintain its leading position. This year, the bubble of broadcast media has certainly expanded, and new content forms are appearing in the whole industry. Obviously, remote collaboration and other new productivity methods must be implemented in the workflow to make the production successful. What needs to be emphasized is how the industry will continue to develop with the help of acceleration tools. Media producers have noticed an increase in workload. Each department needs to produce media materials with different stages and huge data volume, and smooth collaboration and effective data migration are needed among departments. These files will have different sizes and formats, so it is necessary to use fast file transfer tools to deal with files of any size among various departments of the enterprise. Before introducing a solution similar to the large file transfer system with radium speed, many enterprises had the problem of low team productivity. Of course, enterprises can study appropriate tools, but it needs to invest a lot of manpower, material resources, and money. Some companies choose to simplify this process, but it also leads to data confusion, leakage, and other security issues. Choosing suitable tools can actually provide the correct direction and guidance for enterprises. Raysync will guide big data enterprises to complete correct high-speed large file transfer steps. Raysync large file transmission system is a popular transmission tool in the whole film and television media industry. It is a set of server and client applications, which can accelerate point-to-point file transmission at a speed of up to 10 Gbps. This will ensure the delivery time of film and television materials and media materials. In addition, it is inevitable to choose a fast data migration tool between many media files based on object media and the size of these high-quality files.

The 21st century is an era of rapid development of data and information. Mobile Internet, Internet of Things, social networks, e-commerce and so on have greatly expanded the boundaries and application scope of the Internet. Various data are expanding rapidly, and the whole society has entered the era of big data. However, big data is a double-edged sword. While the country and enterprises vigorously promote the innovative application and benefit of big data, criminals and the "black industry chain" are also stealing and selling information wantonly on the road of data transfer. "Streaking" of Core Information in Big Data Environment Data and information contain the great value, and criminals are pervasive, collecting and selling all kinds of data and information, which leads to the disclosure of personal privacy, enterprise core data, and even state secrets on the Internet. As the basis of data interaction, data transfer and file transfer are the hardest-hit areas of data leakage. Common data transfer risk sources are as follows: 1. The safety risk coefficient of the big data transfer process is high; 2. The management of enterprise data transfer is not strict; 3. The encryption link is too weak; 4. The file transfer tool used is unsafe. Six foundations of file security transfer As an excellent service provider of large file transfer, Raysync has provided mature file transfer solutions for 2W+ enterprises in 11 fields, such as finance, internet, life sciences, and film and television production. For the safety management of large file transfer solutions, the following six safety design concepts of file transfer are given: 01 Web Security Design 02 Account & Password Protection Security Design 03 Transmission Security Design 04 Software Installation & Operation Safety Design 05 Behavior Audit 06 Encryption Certificate Life Cycle Management More details about the large file transfer software, welcome to visit Raysync's official website and get the complete Raysync Safety Technical White Paper.

There are many documents with complex and diverse formats, how can large files be transmitted at the fastest speed? Transfer large files directly or split into multiple small files? Let's look at a set of test data first: In the same test environment, we transfer 10GB large files and 100,000 small files from Beijing Alibaba Cloud to New York Alibaba Cloud via FileZilla FTP. The difficulty of large file transfer is the large data volume, and the difficulty of mass small files is a large number of files. Using traditional file transfer tools for transfer, no matter which one is transmitted first, it will bring great pressure to the server in the process of file transfer, and the transfer efficiency is definitely not ideal. The cross-border transfer must face the ultra-long distance and weak network environment. The high latency and high packet loss rate caused by network problems can directly affect the efficiency of the file transfer. In the same test environment, let's try it with a professional file transfer tool from Beijing Alibaba Cloud to New York Alibaba Cloud. The transfer data shows that in response to cross-border file transfer, 10GB large files need to be transmitted for 34 hours. After using professional file transfer tools, the speed is reduced to 7 minutes and 30 seconds, and the efficiency is improved by 272 times; In the transfer of 100,000 mass small files, the transfer time is reduced from 168 hours to 1 minute and 50 seconds, and the transfer timeliness is improved by 5522 times. For the problems of large file transfer, massive small file transfer, cross-border file transfer, cross-border file transfer, file sharing, file synchronization, and point-to-point transfer, experts in large file transfer solutions can seek help from Raysync. For more file transfer problems, welcome to visit Raysync's official website.

What's Shadow IT? Gartner analyst Simon Mingay wrote in a research report that Shadow IT in a broad sense includes "investment in the acquisition, development and/or operation of IT solutions outside the formal control of formal IT organizations". To put IT simply, Shadow IT refers to a department or individual who uses IT-related hardware or software without knowing the IT or security group in the organization. In reality, employees in general enterprises rely on software that has not been approved by IT departments. Business departments bypass IT departments and use applications on the cloud to complete their work efficiently and quickly. These are also called "shadow IT". Although "shadow IT" and "business value" doesn't sound directly related, using shadow IT is quite simple and direct. But when shadow IT was exposed, IT revealed many security vulnerabilities to IT departments. Enterprise employees can easily bypass the IT team's approval, but they cannot check the reliability and security of the selected application in depth. Employees unconsciously input important enterprise data into unauthorized cloud services, which makes enterprise data security a gamble directly. In fact, nearly 80% of employees in general enterprises rely on this software that has not been approved by IT departments. Faced with this situation, what should IT leaders do if they find that these unsafe applications are being used by employees or are sharing sensitive information? It's obvious that it's natural to react quickly and demand that these applications be stopped immediately and that employees who violate the company's data security regulations be punished. However, the value gained by IT leaders from the discovery of Shadow IT is equally important for future IT decisions. What is the problem with Shadow IT? If IT executives find that employees are using free file sharing applications, the next step is to find out why employees use them. For what reason do so many employees bypass FTP and other systems and secretly use these applications for file sharing? Only by breaking the root cause of Shadow IT entering the enterprise can we improve the current situation of the enterprise and truly protect the data security of the enterprise. It's easy to find out that many employees express their weakness in the processing efficiency of existing enterprise application systems. FTP is time-consuming and complex, and email is limited by attachment volume, so professional software procurement costs are high. The huge amount of data and the impatient urging of customers make them need a fast way to transfer files. Although the situation of each enterprise is different, fundamentally, the biggest reason for employees to use these file transfer software is that they can handle their work at any time and anywhere with a low cost or even zero cost. Breaking Shadow IT and Solving Enterprise Application Compliance Problems Recognizing the above problems, we will find that it is not enough to order employees to stop using unsafe file sharing applications. No matter how hard IT leaders try to control the organization's data, employees can choose unsafe solutions. Enterprises can choose compliance solutions such as Raysync. The goal of Raysync is to help enterprises and IT departments solve the normative problems of file sharing and provide easy-to-use and high-speed file transmission solutions for enterprise employees to improve office efficiency. Enterprises using Raysync software can use account management to help control file flow, and the high-speed transfer engine independently developed by Raysync can meet the extreme speed transfer of TB-level large files and massive small files. Raysync is flexible enough to meet the various demands of enterprises. At this stage, Raysync introduces the flow version, which can be purchased by enterprises according to their needs. Enjoy the file transfer service of Raysync professional version at low cost, effectively control the cost consumption, eliminate the waste of resources, and realize the cost optimization. It provides a one-stop enterprise-level large file transfer solution, and it is an efficient way to obtain policy cooperation between employees and companies.

A large amount of big data is opening the era of data-driven solutions that will drive the development of communication networks. Current networks are usually designed based on static end-to-end design principles, and their complexity has increased dramatically in the past few decades, which hinders the effective and intelligent provision of big data. Big data networking and big data analysis in network applications both pose huge challenges to the industry and academic researchers. Small devices continuously generate data, which is processed, cached, analyzed, and finally stored in network storage , edge servers, or the cloud. Through them, users can effectively and safely discover and obtain big data for various purposes. Intelligent network technology should be designed to effectively support the distribution, processing, and sharing of such big data. On the other hand, critical applications such as the Industrial Internet of Things, connected vehicles, network monitoring/security/management, etc. require fast mechanisms to analyze a large number of events in real-time, as well as offline analysis of a large amount of historical event data. These applications show strong demands to make network decisions intelligent and automated. In addition, the big data analysis techniques used to extract features and analyze large amounts of data places a heavy burden on the network, so smart and scalable methods must be conceived to make them practical. Some issues related to big data intelligent networking and network big data analysis. Potential topics include but are not limited to: 1. Big data network architecture 2. Machine learning, data mining, and big data analysis in the network 3. Information-centric big data networking 4. Software-defined networking and network function virtualization for big data 5. The edge of big data, blur, and mobile edge computing 6. Security, trust, and privacy of big data networks 7. 5G and future mobile networks realize big data sharing 8. Blockchain for big data network 9. Data center network for big data processing 10. Data analysis of networked big data 11. Distributed monitoring architecture for networked big data 12. Machine learning can be used for network anomaly detection and security 13. In-network computing for intelligent networking 14. Big data analysis network management 15. Distributed Artificial Intelligence Network 16. Efficient networking of distributed artificial intelligence 17. Big data analysis and network traffic visualization 18. Big data analysis, intelligent routing, and caching 19. Big data networks in healthcare, smart cities, industries, and other applications In the era of big data, Raysync provides ultra-fast, powerful, and high-speed large file transfer solutions to quickly respond to massive data transmission needs.