Networking Trends Paper

Networking Trends: World According to Google

Name

Institution

1. Software Defined Networking (SDN) Big Data

Bakhshi (2017) describes Software Defined Networking (SDN) as a computer networking technique that enables the network administrator/ engineers to use control console to programmatically manage network behavior. Such controls, the network engineers accomplish through manipulating the open interface or the lower-level functionality of the network to render it more agile and flexible (Bakhshi, 2017). Bestowing from studies by Bakhshi (2017), SDN network technology operates as a virtualized server and acts as computer storage resource center for data. Previously, the SDN served as a brain to provide avenues for designing, handling, and structuring networks. The SDN also functioned as a forwarding plane to program networks and obstruct the underlying infrastructures from application and networks services (Kohler, Durr, & Rothermel, 2015).

Nevertheless, current modifications continue to render SDN as an economical and adaptable tool for network engineers (Bakhshi, 2017). Over a period of three years, SDN has emerged to be widely considered a management tool with an ideal bandwidth capacity (Bakhshi, 2017). Also, the SDN architecture is perceived as a separate from the typical function of network control and as forwarding plane (Bakhshi, 2017). Conferring from report by Bakhshi (2017), SDN architecture embraces the Open Flow convention making it a necessary requirement in fashioning SDN solutions.

Justification

The major advantages of the modifications of SDN are that its architecture has evolved and currently it is directly programmable and responsive to the changing computing requirements of the current computing age (Bakhshi, 2017). Moreover, the changes in SDN render it as an intelligent resource that is centrally managed and contains pragmatically configured software. Again, the modifications made on SDN and cloud-based computing solutions have enabled businesses to consumerize IT (Kohler et al., 2015). Ongoing innovation in SDN also aid network engineers’ increase their bandwidth capacity which is perceived important for many organizations dealing with big data (Bakhshi, 2017). Again, SDN has also helped dispel the stasis complexity dispelling time wastage, as well as, risks of service disruption (Bakhshi, 2017).

Other major developments in SDN are also promising. For example, on-demand provisioning and the capacity to scale network resources in fault-tolerant computers running a similar set of operations (lockstep) have been achieved through SDN (Bakhshi, 2017). Essentially, SDN works by introducing a virtualized data center that organizes and neutralizes the end-to-end computing environment (Kohler et al., 2015). Moreover, with new actors such as HP, it is likely that SDN will be configured to keep up with the mobility, cloud, and security requirement to sustain organization/ users computing needs. Finally, SDN should design cost-effective strategies of securing networks and also prioritize the need of its users (Bakhshi, 2017).

2. Wireless

Wireless LAN has moved beyond convenience to become a core requirement for today’s organizations (Zhu & Li, 2016). Wireless refers to applications that can be executed without the need of cable/ wire connection (Zhu & Li, 2016). Wireless denotes the absence of a physical connection between two resources and establishes their communication using radio waves (Cherkaoui, Hasan, & Pujolle, 2013). Bestowing from Cherkaoui and his fellow authors (2013), wireless features are increasingly been acknowledged in today's IT management practice owing to the convenience it brings to the organization. Whereas cabled connection appears to be cumbersome and prone to risk, a wireless connection is a friendlier version for connecting resources. The need for wireless technology has been embraced by many organizations to implement LAN arrangements (Zhu & Li, 2016).

The need to modify wireless network by organizations mainly arises from the need of an applications to be executed on a particular network (Cherkaoui et al., 2013). For example, organizations that are huge on download services and emailing services will prefer to use robust wireless network high bandwidth capacity (Zeng, Gu, & Guo, 2015). Going for robust wireless networks helps prevent network buffering and snugs of down time where other users join the network (Cherkaoui et al., 2013). Hence, a more tolerable wireless network for such organizations should have robust designs and high-performance capabilities (Zhu & Li, 2016). It is important for organizations large on data to have a wireless connection with higher bandwidth where a wireless network is needed to support wireless voice services or even video teleconferencing (Cherkaoui et al., 2013). Conferring from Zhu and Li (2016), a robust wireless connection must demonstrate consistency and capacity, as well as, added functionality in its speed of data transmission.

Another trend in the wireless network that continues to support its designs is the ‘Bring Your Own Device’ crusade (Zeng et al., 2015). According to Albert Zhu and Li (2016), many employers are encouraging the habit of employees using their mobile devices at the workplace. Such practice continues to expose organizations to the need of coming up with denser wireless connections to support the range of devices used by employees at the workplace.

Justification

Currently, many organizations rely on the 5GHz signal characteristics basing on current AC standards incorporated by organizations (Zeng et al., 2015). However, considering that employees are allowed to carry their mobile to work, it is important that organizations come up with wireless designs capable of supporting twice as many access points from the former WI-FI 802.11bgn. Apparently, the former WI-FI 802.11bgn only supports a bandwidth of up to 54 Mbps. Hence, necessary recommendation should be adjusted to overcome ‘holes’ problem on the organization wireless sensor networks which are obvious in the event of buffering on a network (Zhu & Li, 2016). For example, a person on one end can be heard for some time during bad signals when not roaming.

Therefore, a robust LAN coverage is critical for many businesses to productively gain from mobility that comes along with wireless connection (Zeng et al., 2015). Contrary to island coverage, pervasive network coverage is essential to obstruct inefficiencies that may end up frustrating employees using personal mobile devices. Such widespread networks must also have strong network security, e.g., Pervasive RF monitoring to prevent intruders from exploiting rogue access points. Providing security to the system help reduce its vulnerability to malicious activity (Zeng et al., 2015).

3. Virtualization

Virtualization is a computer aided procedure of creating virtual version of a particular resource such as a server, a network, or even an OS (Cherkaoui et al., 2013). Bestowing from Zhu and Li (2016) virtualization helps in developing the frameworks with which a particular resource can be executed. Information is increasingly becoming important for many institutions (Zeng et al., 2015). Agreeing with Zeng and his colleagues (2015), many organizations continue to adopt these network design protocol with an aim of easing business operations. Zhu and Li (2016) identifies the continuous shift to virtual platform as motivated by the need by many organizations to embrace cloud-based computing services and hybrid computing solutions to ease organization process controls. Furthermore, the virtual technologies are emerging as a sustainable strategy for the current IT managers to integrate into business processes (Cherkaoui et al., 2013).

Conferring from Zhu and Li (2016), during the past two years, the virtualization process has been improved to offer virtual monitoring services such as locating and supervising computer storage resources. Besides, the robustness of the virtualization process has been significant in increasing the efficiency in service delivery, as well as, speeding up the network uptime while using a computer (Zeng et al., 2015). Such attributes forms the reason why many institutions continue to shift to cloud-based computing solutions where they host their network servers as opposed to relying on physical storage resources (Cherkaoui et al., 2013).

Reasoning

The virtualization of business process may be the way to go for many businesses since it gives important computing solutions familiar to many enterprises (Cherkaoui et al., 2013). For example, the virtualization technologies continue to aid enterprise in furthering their operating needs on inexpensive processors (Zhu & Li, 2016). Historically, virtualization technology was only affordable to the large organization running on expensive mainframe computers (Kohler et al., 2015). Nonetheless, the innovations of the virtualization technology have widened the scope for the micro-enterprises to expand operations (Zhu & Li, 2016).

Also, the continuous improvement in technology continues to offer more advantageous position for many enterprises as the increasing rate of technology obsolescence continues to make servers cheaper in the software markets (Kohler et al., 2015). Likewise, consolidating the servers are mentioned as enhancing the efficiencies in operations achievable by many organization as to minimize physical office space and the supplementary costs incurred in purchase hardware (Cherkaoui et al., 2013). Agreeing with Kohler and his co-proponents (2015), the continuous modification in virtualization process has similarly abetted global green computing challenges. According to Bakhshi (2017), the modern virtualization servers are becoming more energy efficient; reducing the rate at which hardware is disposed to the environment. Also, there is continuous redesigning of virtualization servers aimed to lower servers maintenance cost (Zhu & Li, 2016). There are also new actors storming the software markets, e.g., IBM and Citrix. Their contribution is expected to improve the future virtualization technologies, their configuration abilities to support virtual networks, as well as, rendering them more consumer-oriented (Cherkaoui et al., 2013).

References

Bakhshi, T. (2017). State of the Art and Recent Research Advances in Software Defined Networking. Wireless Communications and Mobile Computing,2017, 1-35. doi:10.1155/2017/7191647

Cherkaoui, O., Hasan, M., & Pujolle, G. (2013). Network virtualization the path to future Internet(2nd ed., Vol. 77). Paris: Institut TELECOM.

Kohler, T., Durr, F., & Rothermel, K. (2015). Update consistency in software-defined networking based multicast networks. 2015 IEEE Conference on Network Function Virtualization and Software Defined Network (NFV-SDN),23(2), 267-304. doi:10.1109/nfv-sdn.2015.7387424

Zeng, D., Gu, L., & Guo, S. (2015). Cloud Networking for Big Data(2nd ed., Vol. 56). Cham: Springer International Publishing.

Zhu, C., & Li, Y. (2016). Advanced Video Communications over Wireless Networks(3rd ed., Vol. 34). Boca Raton: CRC Press.