Kajin The following comments are owned by whoever posted them. Printing out index only. I walked over to the office where this computer is, to have a look at it and found the free Internet telephony from Skype running on it. Watson and then this from Alain Fauconnet again. Very safe, yet very inconvenient for peer to peer networks. Since I last talked about Skype and that it solved the firewall problem in peer to peer networks, a couple of people have been discussing it with me and asking me about it.
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We call this multi-mobile computing. However, the tremendous device, hardware, and software heterogeneity of mobile systems makes this difficult in practice. We present M2, a system for multi-mobile computing across heterogeneous mobile systems that enable new ways of sharing and combining multiple devices. M2 leverages higher-level device abstractions and encoding and decoding hardware in mobile systems to define a client-server device stack that shares devices seamlessly across heterogeneous systems.
M2 introduces device transformation, a new technique to mix and match heterogeneous input and output device data including rich media content. Example device transformations for transparently making existing unmodified apps multi-mobile include fused devices, which combine multiple devices into a more capable one, and translated devices, which can substitute use of one type of device for another. We have implemented an M2 prototype on Android that operates across heterogeneous hardware and software, including multiple versions of Android and iOS devices, the latter allowing iOS users to also run Android apps.
Our results using unmodified apps from Google Play show that M2 can enable apps to be combined in new ways, and can run device-intensive apps across multiple mobile systems with modest overhead and qualitative performance indistinguishable from using local device hardware. A Software Engineering Perspective on Game Bugs Iris Zhang In the past decade, the complexity of video games have increased dramatically and so have the complexity of software systems behind them.
The difficulty in designing and testing games invariably leads to bugs that manifest themselves across funny video reels on graphical glitches and millions of submitted support tickets.
This paper presents an analysis of game developers and their teams who have knowingly released bugs to see what factors may motivate them in doing so.
It examines different development environments as well as inquiring into varied types of game platforms and play-style. Above all, it seeks out how established research on software development best practices and challenges should inform understanding of these bugs. These findings may lead to targeted efforts to mitigate some of the factors leading to glitches, tailored to the specific needs of the game development team.
Software Engineering Methodologies and Life Scott Lennon The paradigms of design patterns and software engineering methodologies are methods that apply to areas outside the software space. As a business owner and student, I implement many software principles daily in both my work and personal life.
After experiencing the power of Agile methodologies outside the scope of software engineering, I always think about how I can integrate the computer science skills that I am learning at Columbia in my life. For my study, I seek to learn about other software engineering development processes that can be useful in life. I theorize that if a model such as Agile can provide me with useful tools, then a model that the government and most of the world trusts should have paradigms I can learn with as well.
The software model I will study is open source software OSS. My study shall describe the similarities that exist between these two methodologies. In the process of my research, I was able to implement the values and paradigms that define the OSS development model to work more productively in my business. Software engineering core values and models can be used as a tool to improve our lives. Their hybrid nature introduces new attack vectors but also provides an opportunity to design of new security architectures.
In this work, we present YOLO, You Only Live Once a security architecture that leverages two unique physical properties of a CPS, inertia: the tendency of objects to stay at rest or in motion, and its built-in reliability to intermittent faults to survive CPS attacks.
The delays involved in YOLO, viz. While most approaches focus on identifying code that looks alike, some researchers propose to detect instead code that functions alike, which are known as functional clones. However, previous work has raised the technical challenges to detect these functional clones in object oriented languages such as Java. We propose a novel technique, In-Vivo Clone Detection, a language-agnostic technique that detects functional clones in arbitrary programs by observing and mining inputs and outputs.
We implemented this technique targeting programs that run on the JVM, creating HitoshiIO available freely on GitHub , a tool to detect functional code clones. Our experimental results show that it is powerful in detecting these functional clones, finding methods that are functionally similar across a corpus of projects, even when there are only very few inputs available. Nayar Cambits is a set of physical blocks that can be used to build a wide variety of cam-eras with different functionalities.
A unique feature of Cambits is that it is easy and quick to reconfigure. The blocks are assembled using magnets, without any screws or cables. When two blocks are attached, they are electrically connected by spring-loaded pins that carry power, data and control signals. With this novel architecture we can use Cambits to configure various imaging systems. The host computer al-ways knows the current configuration and presents the user with a menu of functionalities that the configuration can perform.
We demonstrate a wide range of computational photography methods including HDR, wide angle, panoramic, collage, kaliedoscopic, post-focus, light field and stereo imaging.
Cambits can even be used to configure a microscope. Cambits is a scalable system, allowing new blocks and accompanying software to be added to the existing set. Many of these web applications are quite storage-intensive. Cloud computing offers attractive and economical choices for meeting their storage needs.
Unfortunately, it remains challenging for developers to best leverage them to minimize cost. This paper presents Grandet, a storage system that greatly reduces storage cost for web applications deployed in the cloud.
Grandet provides both a key-value interface and a file system interface, supporting a broad spectrum of web applications. Under the hood, it supports multiple heterogeneous stores, and unifies them by placing each data object at the store deemed most economical. We implemented Grandet on Amazon Web Services and evaluated Grandet on a diverse set of four popular open-source web applications.
Our results show that Grandet reduces their cost by an average of We show how the ARM hardware support for virtualization can support much faster transitions between the VM and the hypervisor, a key hypervisor operation. However, current hypervisor designs, including both KVM Type 1 and Xen Type 2 , are not able to lever- age this performance benefit in practice for real application workloads.
We discuss the reasons why and show that other factors related to hypervisor software design and implementation have a larger role in overall performance than the speed of micro architectural operations.
These changes have been incorporated into the latest ARM architecture. We measure the speed-up on a bubble oscillation test with varying mesh resolution. We also report a few examples with higher complexity than previously achieved. Directly translating these structures yields infinitely large circuits; a subtler approach is required. We propose a sequence of abstraction-lowering transformations that exposes time and memory in a Haskell program.
Cyber-physical systems include systems ranging from critical infrastructure such as a power grid and transportation system to health and biomedical devices.
System reliability, i. An unreliable system often leads to disruption of service, financial cost and even loss of human life. An important and prevalent type of cyber-physical system meets the following criteria: processing large amounts of data; employing software as a system component; running online continuously; having operator-in-the-loop because of human judgment and an accountability requirement for safety critical systems. This thesis aims to improve system reliability for this type of cyber-physical system.
To improve system reliability for this type of cyber-physical system, I present a system evaluation approach entitled automated online evaluation AOE , which is a data-centric runtime monitoring and reliability evaluation approach that works in parallel with the cyber-physical system to conduct automated evaluation along the workflow of the system continuously using computational intelligence and self-tuning techniques and provide operator-in-the-loop feedback on reliability improvement.
For example, abnormal input and output data at or between the multiple stages of the system can be detected and flagged through data quality analysis. As a result, alerts can be sent to the operator-in-the-loop. The operator can then take actions and make changes to the system based on the alerts in order to achieve minimal system downtime and increased system reliability. One technique used by the approach is data quality analysis using computational intelligence, which applies computational intelligence in evaluating data quality in an automated and efficient way in order to make sure the running system perform reliably as expected.
Another technique used by the approach is self-tuning which automatically self-manages and self-configures the evaluation system to ensure that it adapts itself based on the changes in the system and feedback from the operator. To implement the proposed approach, I further present a system architecture called autonomic reliability improvement system ARIS.
This thesis investigates three hypotheses. First, I claim that the automated online evaluation empowered by data quality analysis using computational intelligence can effectively improve system reliability for cyber-physical systems in the domain of interest as indicated above.
In order to prove this hypothesis, a prototype system needs to be developed and deployed in various cyber-physical systems while certain reliability metrics are required to measure the system reliability improvement quantitatively.
Second, I claim that the self-tuning can effectively self-manage and self-configure the evaluation system based on the changes in the system and feedback from the operator-in-the-loop to improve system reliability. Third, I claim that the approach is effcient. It should not have a large impact on the overall system performance and introduce only minimal extra overhead to the cyberphysical system.
Some performance metrics should be used to measure the effciency and added overhead quantitatively. COBRA provides automated multi-stage runtime reliability evaluation along the CPS workflow using data relocation services, a cloud data store, data quality analysis and process scheduling with self-tuning to achieve scalability, elasticity and efficiency.
Finally, in order to provide a generic way to compare and benchmark system reliability for CPS and to extend the approach described above, this thesis presents FARE, a reliability benchmark framework that employs a CPS reliability model, a set of methods and metrics on evaluation environment selection, failure analysis, and reliability estimation.
The main contributions of this thesis include validation of the above hypotheses and empirical studies of ARIS automated online evaluation system, COBRA cloud-based reliability assurance framework for data-intensive CPS, and FARE framework for benchmarking reliability of cyber-physical systems.
This work has advanced the state of the art in the CPS reliability research, expanded the body of knowledge in this field, and provided some useful studies for further research. Exploiting Visual Perception for Sampling-Based Approximation on Aggregate Queries Daniel Alabi Efficient sampling algorithms have been developed for approximating answers to aggregate queries on large data sets.
Samples are usually chosen until the confidence interval is arbitrarily small enough regardless of how the approximated query answers will be used for example, in interactive visualizations. In this report, we show how to exploit visualization-specific properties to reduce the sampling complexity of a sampling-based approximate query processing algorithm while preserving certain visualization guarantees the visual property of relative ordering with a very high probability.
Current tools can help detect code with statically similar syntactic features code clones. Unfortunately, some code fragments that behave alike without similar syntax may be missed. Code relatives can be used for such tasks as implementation-agnostic code search and classification of code with similar behavior for human understanding, which code clone detection cannot achieve.
To detect code relatives, we present DyCLINK, which constructs an approximate runtime representation of code using a dynamic instruction graph. The results show that DyCLINK detects not only code relatives, but also code clones that the state-of-the-art system is unable to identify.
Phosphor is the first portable, accurate and performant dynamic taint tracking system for Java. Phosphor also differs from previous portable JVM taint tracking systems that were not general purpose e. We have also made several enhancements to Phosphor, allowing it to track taint tags through control flow in addition to data flow , as well as allowing it to track an arbitrary number of relationships between taint tags rather than be limited to only 32 tags.
In this demonstration, we show how developers writing testing tools can benefit from Phosphor, and explain briefly how to interact with it.
Kim, Stephen A. Edwards Abstraction in hardware description languages stalled at the register-transfer level decades ago, yet few alternatives have had much success, in part because they provide only modest gains in expressivity. We propose to make a much larger jump: a compiler that synthesizes hardware from behavioral functional specifications. Our compiler translates general Haskell programs into a restricted intermediate representation before applying a series of semantics-preserving transformations, concluding with a simple syntax-directed translation to SystemVerilog.
Here, we present the overall framework for this compiler, focusing on the IRs involved and our method for translating general recursive functions into equivalent hardware. We conclude with experimental results that depict the performance and resource usage of the circuitry generated with our compiler.
We call this multi-mobile computing. However, the tremendous device, hardware, and software heterogeneity of mobile systems makes this difficult in practice. We present M2, a system for multi-mobile computing across heterogeneous mobile systems that enable new ways of sharing and combining multiple devices. M2 leverages higher-level device abstractions and encoding and decoding hardware in mobile systems to define a client-server device stack that shares devices seamlessly across heterogeneous systems. M2 introduces device transformation, a new technique to mix and match heterogeneous input and output device data including rich media content. Example device transformations for transparently making existing unmodified apps multi-mobile include fused devices, which combine multiple devices into a more capable one, and translated devices, which can substitute use of one type of device for another. We have implemented an M2 prototype on Android that operates across heterogeneous hardware and software, including multiple versions of Android and iOS devices, the latter allowing iOS users to also run Android apps.
Babei Usable clients are fore example LinphoneKPhone. The connection was not to one of our servers which is quite common but to TCP port fucs a regular computer in an office. Also worth mentioning as an alternative to both H. Last week our mail account for support got an email from somebody from Luxembourg asking why his computer has a open connection to one of our computers. Some info about what Skype does: Sign in Get started. The answer is to just take advantage of the indirect connection. Skype and Firewalls, the Answer Since I last talked about Skype and that it solved the firewall problem in peer to peer networks, a couple of people have been discussing it with me and asking me about it.
CUCS 039 04 PDF
Over 10 comments listed. The troube with peer to peer networks is just that: When performance based computing and computing on demand becomes commonplace, skype will dry out, as computer performance will be openly available, but at a cost. Also worth mentioning as an alternative to both H. Never miss a story from Zef. Is Skype mis using your computer? Its the whole idea of Skype: They create and contribute close to nothingm but they live from shaving off a tiny little profit from every skype out connection they handle.
They have a couple of important properties: Skype solves this problem by using intermediates called supernodes. They steal your cpu, bandwidth, and routing performance together with that of all the internet community and redistribute it somwhere else, deminusished by the performance neede to run their product. After further checking this computer with netstat and Fport from Foundstone I had a detailed look at the TCP ports 80 httphttps and which are not so common open on a users workstation. Read on for more They do allow incoming connections and have a lot of space and bandwidth to their disposal. Get updates Get updates. Very safe, yet very inconvenient for peer to peer networks.