Civil Rights
Movements, leaders, victories and the continuing fight for equality.
q2K BHP
Black History Portal
THE BHP WIRE —
HIDDEN TRUTHS
What's New!
Explore the people, places, events, achievements, struggles and stories that shaped our journey.
Movements, leaders, victories and the continuing fight for equality.
Innovation, patents, science, technology and world-changing contributions.
Pioneers, champions, Negro Leagues, records, activism and excellence.
Meet the people whose lives, choices and achievements shaped the journey.
Black towns, communities, institutions and places where history happened.
Moments that changed communities, movements, institutions and the nation.
Katherine Johnson’s mathematical calculations helped guide some of America’s most important early space missions while she confronted the racial and gender barriers faced by Black women in twentieth-century America.
MORE →Reflects the personal views, recollections, and perspective of the author, Mike Davis.
This is a personal recollection on the Move fire on May 13, 1985
Aditya Akella | |
|---|---|
 | |
| Born | |
| Education | Carnegie Mellon University (PhD 2005) IIT Madras (B.Tech 2000) |
| Spouse | Shuchi Chawla |
| Scientific career | |
| Fields | Computer Science, Computer Networking, Distributed Systems, Machine Learning |
| Workplaces | University of Texas at Austin
University of Wisconsin–Madison Stanford University |
| Srinivasan Seshan | |
| Website | www |
Srinivasa Aditya Akella is a computer scientist, professor and Regents Chair Professor at the University of Texas at Austin. He is notable for research in software-defined networking,[1] big data systems,[2] low latency networking, content distribution[3] and network function virtualization.
Akella completed his undergraduate studies at the Indian Institute of Technology, Madras in 2000, then received his PhD in 2005 from Carnegie Mellon University with a thesis titled End Point-based Routing Strategies for Improving Internet Performance and Resilience. His doctoral advisor was Srinivasan Seshan.[4][5] He completed a post-doc at Stanford University working with Nick McKeown where he worked on early efforts in SDN.[6] In 2006 Akella joined the University of Wisconsin-Madison as an assistant professor, then later became an associate professor in 2012 and a full professor in 2017. In 2021, he joined the UT Austin Computer Science Department.
He leads the UT Networked Systems (UTNS) Research Group[7] and is one of the Principal Investigators leading CloudLab.[8] In 2014, SIGCOMM gave him their Rising Star Award for contributions to network management and content delivery.[9] Akella holds over 15 patents related to computer networking and distributed systems.[10] He has published 225 research papers in refereed international conferences and journals with his coworkers and his publications have been cited over 10,000 times (H-index=53).[4][11]
Akella was chosen as a finalist in Physical Sciences and Engineering for both the 2021 and 2020 Blavatnik National Award for his contributions to improving the speed, efficiency and reliability of data center infrastructure.[12][13] His ongoing research focuses on systems for machine learning, low latency networking, big data systems and intent-driven networking.[14]
Akella is a native of Hyderabad, India, and currently resides in Austin, Texas. His wife Shuchi Chawla is also a computer science professor at the University of Texas-Austin.
Source: Wikipedia. Article content is retrieved live through the MediaWiki API.
Network function virtualization (NFV) is a network architecture concept that leverages IT virtualization technologies to virtualize entire classes of network node functions into building blocks that may connect, or chain together, to create and deliver communication services. NFV relies upon traditional server-virtualization techniques, such as those used in enterprise IT. A virtualized network function, or VNF, is implemented within one or more virtual machines or containers running different software and processes, on top of commercial off the shelf (COTS) high-volume servers, switches and storage devices, or even cloud computing infrastructure, instead of having custom hardware appliances for each network function thereby avoiding vendor lock-in. For example, a virtual session border controller could be deployed to protect a network without the typical cost and complexity of obtaining and installing physical network protection units. Other examples of NFV include virtualized load balancers, firewalls, intrusion detection devices and WAN accelerators to name a few. Decoupling the network function software from the customized hardware platform creates a flexible network architecture that enables agile network management, faster new service roll outs with significant reduction in CAPEX and OPEX.
A cloud-native network function (CNF) is a software-implementation of a function, or application, traditionally performed on a physical device, but which runs inside Linux containers (typically orchestrated by Kubernetes). The features that differ CNFs from VNFs (virtualized network functions), one of the components of network function virtualization, is the approach in their orchestration. In ETSI NFV standards, the cloud-native network functions are a particular type of virtualized network functions and are orchestrated as VNFs, i.e. using the ETSI NFV MANO architecture and technology-agnostic descriptors (e.g. TOSCA, YANG). In that case, the upper layers of the ETSI NFV MANO architecture (i.e. the NFVO and VNFM) cooperate with a container infrastructure service management (CISM) function that is typically implemented using cloud-native orchestration solutions (e.g. Kubernetes). The characteristics of cloud-native network functions are: containerized microservices that communicate with each-other via standardized RESTful APIs small performance footprint, with the ability to scale horizontally independence of guest operating system, since CNFs operate as containers lifecycle manageable by Kubernetes, using container images registries such as OCI Docker, and OS container runtime.
5G networking slicing is a network architecture that enables the multiplexing of virtualized and independent logical networks on the same physical network infrastructure. Each network slice is an isolated end-to-end network tailored to fulfill diverse requirements requested by a particular application. For this reason, this technology assumes a central role to support 5G mobile networks that are designed to efficiently embrace a plethora of services with very different service level requirements (SLR). The realization of this service-oriented view of the network leverages on the concepts of software-defined networking (SDN) and network function virtualization (NFV) that allow the implementation of flexible and scalable network slices on top of a common network infrastructure. From a business model perspective, each network slice is administrated by a mobile virtual network operator (MVNO). The infrastructure provider (the owner of the telecommunication infrastructure) leases its physical resources to the MVNOs that share the underlying physical network. According to the availability of the assigned resources, a MVNO can autonomously deploy multiple network slices that are customized to the various applications provided to its own users.
Srinivasa Aditya Akella is a computer scientist, professor and Regents Chair Professor at the University of Texas at Austin. He is notable for research in software-defined networking, big data systems, low latency networking, content distribution and network function virtualization.
Before the 1921 destruction of Tulsa’s Greenwood District, Black residents had created a remarkable center of business and community life. The district included stores, professional offices, entertainment venues and homes owned by Black citizens. Understanding Greenwood means learning what was built—not only what was burned.
MORE →Mae Jemison, aboard Space Shuttle Endeavour in 1992.
