Events

How to use AI for specific practical purposes. Getting prompts to LLM's to accomplish what you want With Examples such as: evaluating financial reports, preparing presentation outlines, creating document summaries, developing draft reports, etc. Speaker(s): Ralph Ragucci, Room: Classroom, Bldg: Main Enterance, 50 Woodmont Ave, unit A401, Londonderry, New Hampshire, United States, 03053, Virtual: https://events.vtools.ieee.org/m/549660

Dependable cloud computing is an increasingly important solution for providing services deployed in dynamically scalable cloud networks. Services in the cloud computing networks may be virtualized with specific servers which host abstracted details. Some of the servers are active and available, while others are busy or heavy loaded, and the remaining are offline for various reasons. Users would expect the right and available servers to complete their application requirements. Therefore, in order to provide an effective control scheme with parameter guidance for cloud resource services, failure detection is essential to meet users' service expectations. It can resolve possible performance bottlenecks in providing the virtual service for the cloud computing networks. Most existing Failure Detector (FD) schemes do not automatically adjust their detection service parameters for the dynamic network conditions, thus they couldn't be used for actual application. This presentation explores FD properties with relation to the actual and automatic fault-tolerant cloud computing networks, and proposes three general analysis methods to satisfy user requirements. Based on these general methods, we propose some special and dynamic Failure Detector, as a major breakthrough in the existing schemes. We carry out actual and extensive experiments to compare the quality of service performance between our FDs and several other existing FDs. Our experimental results demonstrate that our scheme can adjust FD control parameters to obtain better services. Such FDs are adjusted in IBM cloud computing platform, and hope to be extensively applied to industrial and commercial usage. Speaker(s): Dr. Neal Xiong, Room: 128, Bldg: School of Engineering, Technology and Aeronautics, 2500 North River Road, Manchester, New Hampshire, United States, 03106

This event will be hybrid, but we encourage in-person attendance. Registration is free, but is required so that we can plan pizza, salad, and beverages. When arriving Wednesday evening, please be prepared to show a government-issued photo ID, such as a drivers license, at the main gate at Wood Street. State that you are attending the IEEE Reliability meeting in the Main Cafeteria. After parking, walk towards the main building near the flagpole. Before entering, look left, and walk down the steps. At the bottom of the steps, turn right. Walk straight through the double set of double doors and straight into the Main Cafeteria. Looking forward to seeing you in person! Dan Weidman Chair, IEEE Boston Reliability Chapter Speaker(s): , Mason Agenda: 5:00 pm doors open, for networking. Arriving earlier is ok. 5:30 pm: Dinner and refreshments are scheduled to arrive, while networking continues. 6:00 pm: Introduction to the presentation, followed by the formal presentation. Between 7 and 7:30 pm: Formal presentation and formal Q&A end. 8:00 pm: Informal Q&A and networking end. Bldg: Main Cafeteria, MIT Lincoln Laboratory, 244 Wood St, Lexington, Massachusetts, United States, 02421, Virtual: https://events.vtools.ieee.org/m/549848

Monthly New Hampshire Section ExCom Meeting Airpot Diner, 2280 Brown Ave, Manchester, NH 03103, Manchester, New Hampshire, United States, 03106