1. Introduction: With the advance of computer and communication technologies, the data centers support the characteristics of large scalability and high-performance data-intensive supercomputing capability. Also, the next generation data centers need to manage and process exponentially growing data volumes, often arriving in time-sensitive streams from arrays of sensors and instruments or as the outputs from simulations [1]. Therefore, these time-sensitive streams demand the real-time response from the data centers, which becomes an important challenge to the next generation data center network. For instance, health care imaging systems illustrate the need for both high data rates and real-time cataloging. Also, high energy physics experiments, which generate high rates and massive volumes of data that must be processed and archived in real-time [2]. In the past decades, a lot of research efforts are put into the data center network architecture to satisfy the growing data-intensive computing. However, these works only focus on the scalability, power efficiency, etc [3, 11]. What is surprising to us, a time-predictable network for the real-time data-centric computing is still not carefully investigated. Also, the current TCP/IP based network architecture cannot provide the characteristics of time-predictable to the data-centric computing. TCP/IP and CSMA/CD are the two factors that most strongly influence timing control [4], since TCP/IP is a try-best network and CSMA/CD employs an exponential back-off mechanism to circumvent collisions. Thus, it is important to propose a time-predictable network for data-centric computing to support accurate communication latency estimation. 2. Research Proposal: To address thi... ... middle of paper ... ... et al., Reliable Real-Time Communication in CAN Networks, in the IEEE transactions on Computers, Dec. 2003. [8]. T. Pop, et al., Timing Analysis of the FlexRay Communication Protocol, in the proceedings of 18th Euro-micro Real-Time Systems, 2006. [9]. W. Elmenreich, et al., A Comparison of Field bus Protocols: LIN 1.3, LIN 2.0, and TTP/A, in the proceedings of the 10th IEEE Emerging Technologies and Factory Automation, 2005. [10]. R. Kouzes, The Changing Paradigm of Data-Intensive Computing, in the Journal of Computers, Vol. 42, 2009. [11]. Turning Challenges into Opportunities in the Data Center, Intel Inc., 2007. [12]. T. Pop, et al., Timing Analysis of the FlexRay Communication Protocol, in the Proceedings of 18th Euromicro Conference on Real-Time Systems, 2006. [13]. FlexRay Communications System Protocol Specification, Rev. A, Version 2.1, 2005.
Although big data promises better margin’s, more revenue and improvised operations it also brings new challenges to the It infrastructure which is “extreme data management” .At the same time these companies should also need to look at workload automation and make sure it is robust enough to make to handle the needs that the big data is associated to as well as the needs of the business intelligence it there to serve.
We live in a world that can’t live without binary code anymore. Computers have pervaded so deep in our lives that they are now being called ubiquitous. With phenomenal increase in users, has come a phenomenal increase in data. We generate a vast amount of data through activities on our computing devices making it necessary to employ intelligent algorithms which enable the system to learn from and analyze this vast dataset. Fortunately, the advent of Distributed Computing has created avenues to access virtually limitless computing power even through mobile devices thus, allowing us to use highly complex and large scale algorithms. However, with all this power under the hood, it is important to make the computers as usable and receptive to users as possible. I believe this interdisciplinary paradigm will have far reaching impact on industries, governments as well as our daily lives which is why I am so interested in research concerning Information Management and Analytics, Artificial Intelligence, Human Computer Interaction, and Mobile and Internet Computing.
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The article is a credible primary source peer-reviewed journal article published in Communications of the Association for Computing Machinery (ACM). This is a non-profit organization which publishes computing articles of differing views. Martin Ford is highly qualified in technology and the future, having a business degree along with a computer engineering degree. He is unbiased in his article, using only logic and data to support his
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