arXiv subjects

Saurabh Bagchi

Publications and source records attributed to Saurabh Bagchi.

58 records · Page 4Linked to original sources

arXiv2018

MAVIS: Managing Datacenters using Smartphones

Distributed monitoring plays a crucial role in managing the activities of cloud-based datacenters. System administrators have long relied on monitoring systems such as Nagios and Ganglia to obtain status alerts on their desktop-class machines. However, the popularity of mobile devices is pushing the community to develop datacenter monitoring solutions for smartphone-class devices. Here we lay out desirable characteristics of such smartphone-based monitoring and identify quantitatively the shortcomings from directly applying existing solutions to this domain. Then we introduce a possible design that addresses some of these shortcomings and provide results from an early prototype, called MAVIS, using one month of monitoring data from approximately 3,000 machines hosted by Purdue's central IT organization.

cs.DC↗

arXiv2017

TRIFECTA: Security, Energy-Efficiency, and Communication Capacity Comparison for Wireless IoT Devices

The widespread proliferation of sensor nodes in the era of Internet of Things (IoT) coupled with increasing sensor fidelity and data acquisition modality is expected to generate 3+ Exabytes of data per day by 2018. Since most of these IoT devices will be wirelessly connected at the last few feet, wireless communication is an integral part of the future IoT scenario. The ever-shrinking size of unit computation (Moore's Law) and continued improvements in efficient communication (Shannon's Law) is expected to harness the true potential of the IoT revolution and produce dramatic societal impact. However, reducing size of IoT nodes and lack of significant improvement in energy-storage density leads to reducing energy-availability. Moreover, smaller size and energy means less resources available for securing IoT nodes, making the energy-sparse low-cost leaf nodes of the network as prime targets for attackers. In this paper, we survey six prominent wireless technologies with respect to the three dimensions - security, energy efficiency, and communication capacity. We point out the state-of-the-art, open issues, and the road ahead for promising research directions.

cs.CR↗

arXiv2017

Dependability in Edge Computing

Edge computing is the practice of placing computing resources at the edges of the Internet in close proximity to devices and information sources. This, much like a cache on a CPU, increases bandwidth and reduces latency for applications but at a potential cost of dependability and capacity. This is because these edge devices are often not as well maintained, dependable, powerful, or robust as centralized server-class cloud resources. This article explores dependability and deployment challenges in the field of edge computing, what aspects are solvable with today's technology, and what aspects call for new solutions. The first issue addressed is failures, both hard (crash, hang, etc.) and soft (performance-related), and real-time constraint violation. In this domain, edge computing bolsters real-time system capacity through reduced end-to-end latency. However, much like cache misses, overloaded or malfunctioning edge computers can drive latency beyond tolerable limits. Second, decentralized management and device tampering can lead to chain of trust and security or privacy violations. Authentication, access control, and distributed intrusion detection techniques have to be extended from current cloud deployments and need to be customized for the edge ecosystem. The third issue deals with handling multi-tenancy in the typically resource-constrained edge devices and the need for standardization to allow for interoperability across vendor products. We explore the key challenges in each of these three broad issues as they relate to dependability of edge computing and then hypothesize about promising avenues of work in this area.

cs.DC↗

arXiv2017

On Reliability of Android Wearable Health Devices

Wearable devices are increasingly being used for monitoring health signals and for fitness purposes with typical uses being calorie tracker, workout assistant, and step counter. Even though these wearables can measure many health signals (e.g. heart rate), they are still not perceived as highly accurate, relative to clinical monitoring devices. In this paper, we investigate the accuracy of heart monitor as included in two popular wearables Motorola Moto 360 and the Apple Watch. We analyze the accuracy from a hardware and a software perspective and show the effects of body motion on the heart rate monitors based on the use of photoplethysmography (PPG) signals used in Android wearables. We then do a software reliability study of the Android Wear OS, on which many wearables are based, using fuzz testing.

cs.CY↗