It has been a pleasure to serve the outgoing EC and the SIGCOMM community over the last four years. I wish the best for the new EC (see item 1) in promoting diversity, inclusiveness, transparency, and scientific excellence, during their term serving the SIGCOMM family. Here is the news for this month: -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- - 1. SIGCOMM EC Election Results. Raj Jain is the winner of SIGCOMM Award 2. Hot. Nets 2. 01. 7 position papers. Tribute to Chris Edmondson- Yurkanan.
Twitter, a microblogging service less than three years old, commands more than 41 million users as of July 2009 and is growing fast. Twitter users tweet about any. Networking Technology & Systems Early- Career Investigators (Ne. TS- ECI) Workshop. Call for Nominations: Editor- in- Chief, ACM Transactions on Sensor Networks- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 1. The elections are over, and the results are out. Their term starts July 1, 2. Congratulations to Raj Jain for winning the 2. SIGCOMM Award for Lifetime Contribution. The award to Raj is For life- long contributions to computer networking including traffic management, congestion control, and performance analysis. The PC chairs would like to call your attention to a renewed emphasis in Hot. Al-Zaytoonah University of Jordan P.O.Box 130 Amman 11733 Jordan Telephone: 00962-6-4291511 00962-6-4291511 Fax: 00962-6-4291432 Email: [email protected]. Online homework and grading tools for instructors and students that reinforce student learning through practice and instant feedback. Nets 2. 01. 7 on publishing *position* papers that will catalyze reflection and discussion within the networking research community. We seek early- stage work, where the authors can benefit from community feedback. An ideal submission has the potential to open a line of inquiry for the community that results in multiple conference papers in related venues, rather than a single follow- on conference paper. The program committee will explicitly favor early work and papers likely to stimulate reflection and discussion over . We are sad to report the passing away of longtime ACM SIGCOMM member and enthusiastic volunteer, Chris Edmondson- Yurkanan on May 2. She had been a faculty member in the Computer Sciences department at the University of Texas, Austin, for more than two decades and helped organize the SIGCOMM conference at Austin in 1. Her obituary can be found here: http: //wcfish. Chris- Edmondson- Yurkanan- 1. Importantly, one of her main passions was Internet (and SIGCOMM) history: https: //pdfs. With support from the National Science Foundation (NSF), the Networking Technology and Systems Early- Career Investigators (Ne. TS- ECI) Workshop aims to develop the early- career Ne. TS research community to address emerging challenges and pursue promising research opportunities in the domain of computer and information networking. Ne. TS- ECI provides an opportunity for early- career researchers (see below for eligibility) to engage in discussions with peers to share perspectives and explore new research frontiers. See submission instructions here: https: //sites. The term of the current Editor- in- Chief (Ei. C) of the ACM Transactions on Sensor Networks (TOSN) is coming to an end, and the ACM Publications Board has set up a nominating committee to assist the Board in selecting the next Ei. C. Nominations, including self- nominations, are invited for a three- year term as TOSN Ei. C, beginning on September 1st, 2. The Ei. C appointment may be renewed at most one time. This is an entirely voluntary position, but ACM will provide appropriate administrative support. He/she has final say on acceptance of papers, size of the Editorial Board, and appointment of Associate Editors. The Ei. C is expected to adhere to the commitments expressed in the policy on Rights and Responsibilities in ACM Publishing. For more information about the role of the Ei. C, see ACM's Evaluation Criteria for Editors- in- Chief. Nominations should include a vita along with a brief statement of why the nominee should be considered. Self- nominations are encouraged, and should include a statement of the candidate’s vision for the future development of TOSN. The deadline for submitting nominations is August 1. Please send all nominations to the nominating committee chair, Jie Liu (jie. Cloud computing - Wikipedia. Cloud computing metaphor: For a user, the network elements representing the provider- rendered services are invisible, as if obscured by a cloud. Cloud computing is a form of Internet- based computing that provides shared computer processing resources and data to computers and other devices on demand. Basically, Cloud computing allows the users and enterprises with various capabilities to store and process their data in either privately owned cloud, or on a third- party server in order to make data accessing mechanisms much more easy and reliable. Data centers. Cloud computing relies on sharing of resources to achieve coherence and economy of scale, similar to a utility (like the electricity grid) over an electricity network. Advocates claim that cloud computing allows companies to avoid up- front infrastructure costs (e. As well, it enables organizations to focus on their core businesses instead of spending time and money on computer infrastructure. This will lead to unexpectedly high charges if administrators do not adapt to the cloud pricing model. Some cloud vendors are experiencing growth rates of 5. The word cloud is commonly used in science to describe a large agglomeration of objects that visually appear from a distance as a cloud and describes any set of things whose details are not further inspected in a given context. Later it was used to depict the Internet in computer network diagrams. With this simplification, the implication is that the specifics of how the end points of a network are connected are not relevant for the purposes of understanding the diagram. The cloud symbol was used to represent networks of computing equipment in the original ARPANET by as early as 1. In Wired's April 1. No one had conceived that before. The example Jim White . Full time- sharing solutions were available by the early 1. Multics (on GE hardware), Cambridge CTSS, and the earliest UNIX ports (on DEC hardware). By switching traffic as they saw fit to balance server use, they could use overall network bandwidth more effectively. Cloud computing extended this boundary to cover all servers as well as the network infrastructure. In early 2. 00. 8, NASA's Open. Nebula, enhanced in the RESERVOIR European Commission- funded project, became the first open- source software for deploying private and hybrid clouds,and for the federation of clouds. The Open. Stack project intended to help organizations offering cloud- computing services running on standard hardware. The early code came from NASA's Nebula platform as well as from Rackspace's Cloud Files platform. As an open source offering and along with other open- source solutions such as Cloud. Stack, Ganeti and Open. Nebula, it has attracted attention by several key communities. Several studies aim at comparing these open sources offerings based on a set of criteria. On June 7, 2. 01. Oracle announced the Oracle Cloud. The goal of cloud computing is to allow users to take bene. The cloud aims to cut costs, and helps the users focus on their core business instead of being impeded by IT obstacles. Virtualization software separates a physical computing device into one or more . With operating system–level virtualization essentially creating a scalable system of multiple independent computing devices, idle computing resources can be allocated and used more efficiently. Virtualization provides the agility required to speed up IT operations, and reduces cost by increasing infrastructure utilization. Autonomic computing automates the process through which the user can provision resources on- demand. By minimizing user involvement, automation speeds up the process, reduces labor costs and reduces the possibility of human errors. Cloud computing adopts concepts from Service- oriented Architecture (SOA) that can help the user break these problems into services that can be integrated to provide a solution. Cloud computing provides all of its resources as services, and makes use of the well- established standards and best practices gained in the domain of SOA to allow global and easy access to cloud services in a standardized way. Cloud computing also leverages concepts from utility computing to provide metrics for the services used. Such metrics are at the core of the public cloud pay- per- use models. In addition, measured services are an essential part of the feedback loop in autonomic computing, allowing services to scale on- demand and to perform automatic failure recovery. Cloud computing is a kind of grid computing; it has evolved by addressing the Qo. S (quality of service) and reliability problems. Cloud computing provides the tools and technologies to build data/compute intensive parallel applications with much more affordable prices compared to traditional parallel computing techniques. Furthermore, fog computing handles data at the network level, on smart devices and on the end- user client side (e. Compared to fog computing, which supports emerging Io. T applications that demand real- time and predictable latency and the dynamic network reconfigurability, Dew computing pushes the frontiers to computing applications, data, and low level services away from centralized virtual nodes to the end users. Participants are both suppliers and consumers of resources (in contrast to the traditional client–server model). Green computing. Cloud sandbox—A live, isolated computer environment in which a program, code or file can run without affecting the application in which it runs. Characteristics. A public- cloud delivery model converts capital expenditures (e. Pricing on a utility computing basis is . As well, less in- house IT skills are required for implementation of projects that use cloud computing. As infrastructure is off- site (typically provided by a third- party) and accessed via the Internet, users can connect to it from anywhere. Time may be saved as information does not need to be re- entered when fields are matched, nor do users need to install application software upgrades to their computer. Security is often as good as or better than other traditional systems, in part because service providers are able to devote resources to solving security issues that many customers cannot afford to tackle or which they lack the technical skills to address. In addition, user access to security audit logs may be difficult or impossible. Private cloud installations are in part motivated by users' desire to retain control over the infrastructure and avoid losing control of information security. The National Institute of Standards and Technology's definition of cloud computing identifies . A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service provider. Broad network access. Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e. Resource pooling. The provider's computing resources are pooled to serve multiple consumers using a multi- tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand. Rapid elasticity. Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. To the consumer, the capabilities available for provisioning often appear unlimited and can be appropriated in any quantity at any time. Measured service. Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e. Resource usage can be monitored, controlled, and reported, providing transparency for both the provider and consumer of the utilized service. For example, one can provide Saa. S implemented on physical machines (bare metal), without using underlying Paa. S or Iaa. S layers, and conversely one can run a program on Iaa. S and access it directly, without wrapping it as Saa. S. The capability provided to the consumer is to use the provider's applications running on a cloud infrastructure. The applications are accessible from various client devices through either a thin client interface, such as a web browser (e. The consumer does not manage or control the underlying cloud infrastructure including network, servers, operating systems, storage, or even individual application capabilities, with the possible exception of limited user- specific application configuration settings. Platform as a Service (Paa. S). The capability provided to the consumer is to deploy onto the cloud infrastructure consumer- created or acquired applications created using programming languages, libraries, services, and tools supported by the provider. The consumer does not manage or control the underlying cloud infrastructure including network, servers, operating systems, or storage, but has control over the deployed applications and possibly configuration settings for the application- hosting environment. Infrastructure as a Service (Iaa. S). The capability provided to the consumer is to provision processing, storage, networks, and other fundamental computing resources where the consumer is able to deploy and run arbitrary software, which can include operating systems and applications. The consumer does not manage or control the underlying cloud infrastructure but has control over operating systems, storage, and deployed applications; and possibly limited control of select networking components (e. Infrastructure as a service (Iaa. S). Infrastructure as a service (Iaa. S) refers to online services that provide high- level APIs used to dereference various low- level details of underlying network infrastructure like physical computing resources, location, data partitioning, scaling, security, backup etc. A hypervisor, such as Xen, Oracle Virtual.
0 Comments
Leave a Reply. |