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Wide area distributed file systems-A scalability and performance survey

Scalable Computing 2010年第3期11卷 305-326页

作者： Ponnavaikko, Kovendhan Dharanipragada, Janakiram Distributed and Object Systems Lab Department of Computer Science and Engineering Indian Institute of Technology Madras Chennai India

Recent decades have witnessed an explosive growth in the amounts of digital data in various fields of arts, science and engineering. Such data is generally of interest to a large number of people spread over wide geographical areas. Over the years, several distributed File systems (DFS) have, to varying degrees, addressed this requirement of sharing large amounts of data, stored in the form of files, among several users and applications. Scalability and performance are two important measures that determine the suitability of a file system for the applications executing over them. We perform a detailed comparative analysis of popular distributed file systems in terms of these measures in our survey. © 2010 SCPE.

关键词： Surveys

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Optimizing service level agreements for autonomic cloud bursting schedulers

Optimizing service level agreements for autonomic cloud burs...

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International Workshop on Scheduling and Resource Management for Parallel and distributed systems

作者： Kailasam, Sriram Gnanasambandam, Nathan Dharanipragada, Janakiram Sharma, Naveen Distributed and Object Systems Lab Dept. of Comp. Sci. and Engg. IIT Madras Chennai 600036 India Xerox Research Center Webster Xerox Corporation Webster NY 14580 United States

ISBN: (纸本)9780769541570

The practice of computing across two or more data centers separated by the Internet is growing in popularity due to an explosion in scalable computing demands and payas- you-go schemes offered on the cloud. While cloud-bursting is addressing this process of scaling up and down across data centers (i.e. between private and public clouds), offering service level guarantees, is a challenge for inter-cloud computation, particularly for best-effort traffic and large files. The parallel workload we address is real-time and involves inter-cloud processing and analysis of images and documents. In our production printing domain, dedicated processing/network resources are cost-prohibitive. Further, the problem is exacerbated by data intensive computing - we encounter huge file sizes atypical of intercloud parallel processing. To address these problems we propose three flavors of autonomic cloud-bursting schedulers that offer probabilistic guarantees on service levels required by customers (such as speed-up and queue sequence preservation) by adapting to changing workload characteristics, variation in bandwidth and available resources. In particular, these opportunistic schedulers use a quadratic response surface model for processing time in concert with a time-of-day dependent bandwidth predictor to increase the throughput and utilization while simultaneously reducing out-of-sequence completions for a document processing workload. © 2010 IEEE.

关键词： Bandwidth

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Arogyashree: A distributed file system for large scale internet-based telemedicine

Arogyashree: A distributed file system for large scale inter...

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1st International Workshop on Mobilizing Health Information to Support Healthcare-Related Knowledge Work, MobiHealthInf 2009 In Conjunction with BIOSTEC 2009

作者： Ponnavaikko, Kovendhan Janakiram, D. Distributed and Object Systems Lab Department of Computer Science and Engineering Indian Institute of Technology Madras Chennai India

ISBN: (纸本)9789898111784

Today, a typical telemedicine system involves a small set of hospitals providing remote healthcare services to a small section of the society using nodal centers, mobile health units, etc. However, the benefits of a telemedicine system increase with scale. One of the key requirements of such a large scale system is to allow large numbers of patient medical records, in the form of electronic files, to be efficiently stored and accessed from widely distributed locations. In this paper, we address the need for a distributed file system to manage patient data in large scale telemedicine systems. We use the resources of unreliable Internet edge nodes distributed among hospitals, labs, etc., to provide reliable file system services to patients and doctors. Besides building an Internet-based system that scales with the number of nodes and files, we also attempt to optimize record access times for doctors to provide timely responses.

关键词： Hospitals

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The edge node file system: A distributed file system for high performance computing

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Scalable Computing 2009年第1期10卷 115-130页

作者： Ponnavaikko, Kovendhan Janakiram, D. Distributed and Object Systems Lab Department of Computer Science and Engineering Indian Institute of Technology Madras Chennai India

The concept of using Internet edge nodes for High Performance Computing (HPC) applications has gained acceptance in recent times. Many of these HPC applications also have large I/O requirements. Consequently, an edge node file system that efficiently manages the large number of files involved can assist in improving application performance significantly. In this paper, we discuss the design of a distributed File System (DFS) specialized for HPC applications that exploits the storage, computation and communication capabilities of Internet edge nodes and empowers users with the autonomy to flex file management strategies to suit their needs. © 2009 SCPE.

关键词： File organization

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e-petri net model for programming integrated network of wireless sensor networks and grids

e-petri net model for programming integrated network of wire...

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CIT 2007: 7th IEEE International Conference on Computer and Information Technology

作者： Adimallikarjuna Reddy, V. Kumar, A. V. U. Phani Janakiram, D. Distributed and Object Systems Lab. Department of Computer Science and Engineering Indian Institute of Technology Madras Chennai 600036 India

ISBN: (纸本)0769529836

Applications like weather forecasting and prediction, health-care monitoring, habitat monitoring, tsunami-warning systems, demand integration of Wireless Sensor Networks (WSNs) with grids. The issues that need to be addressed are, providing suitable programming platform, seamless networking, data management, service/resource discovery etc. objective of this work is to provide a programming model for this integrated network. We propose a programming model built using e-Petri Net, an extension to the classical Petri Net. We define the meta model for the e-Petri Net using Generic Modeling Environment (GME) tool. This meta-model gives the flexibility in understanding and analysing the application before hand. © 2007 IEEE.

关键词： Wireless sensor networks

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Data management in distributed systems: A scalability taxonomy

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Scalable Computing 2007年第1期8卷 1-16页

作者： Srinivas, A. Vijay Janakiram, D. Distributed and Object Systems Lab Dept of Computer Science and Engg. Indian Institute of Technology Madras India

Data management is a key aspect of any distributed system. This paper surveys data management techniques in various distributed systems, starting from distributed Shared Memory (DSM) systems to Peer-to-Peer (P2P) systems. The central focus is on scalability, an important non-functional property of distributed systems. A scalability taxonomy of data management techniques is presented. Detailed discussion of the evolution of data management techniques in the different categories as well as the state of the art is provided. As a result, several open issues are inferred including use of P2P techniques in data grids and distributed mobile systems and the use of optimal data placement heuristics from Content Distribution Networks (CDNs) for P2P grids. © 2007 SWPS.

关键词： Taxonomies

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Outlier detection in wireless sensor networks using bayesian belief networks

Outlier detection in wireless sensor networks using bayesian...

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First International Conference on Communication System Software and Middleware, Comsware 2006

作者： Janakiram, D. Reddy V, Adi Mallikarjuna Kumar, A. V. U. Phani Distributed and Object Systems Lab Department of CS and E Indian Institute of Technology Madras Chennai-600036 India

ISBN: (纸本)0780395751

Data reliability is an important issue from the user's perspective, in the context of streamed data in wireless sensor networks (WSN). Reliability is affected by the harsh environmental conditions, interferences in wireless medium and usage of low quality sensors. Due to these conditions, the data generated by the sensors may get corrupted resulting in outliers and missing values. Deciding whether an observation is an outlier or not depends on the behavior of the neighbors' readings as well as the readings of the sensor itself. This can be done by capturing the spatio-temporal correlations that exists among the observations of the sensor nodes. By using naïve Bayesian networks for classification, we can estimate whether an observation belongs to a class or not. If it falls beyond the range of the class, then it can be detected as an outlier. However naïve Bayesian networks do not consider the conditional dependencies among the observations of sensor attributes. So, we propose an outlier detection scheme based on Bayesian Belief Networks, which captures the conditional dependencies among the observations of the attributes to detect the outliers in the sensor streamed data. Applicability of this scheme as a plug-in to the Component Oriented Middleware for Sensor Networks (COMiS) of our early research work is also presented. © 2006 IEEE.

关键词： Wireless sensor networks

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distributed wisdom: Designing a replication service for large peer-to-peer data grids

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IEEE distributed systems Online 2006年第3期7卷 25-30页

作者： Srinivas, A. Vijay Reddy, M. Venkateswara Janakiram, D. Indian Institute of Technology Madras India Distributed and Object Systems Lab. Department of Computer Science and Engineering Indian Institute of Technology Madras India Department of Computer Science and Engineering Indian Institute of Technology Madras India

Some of the key issues in building services for large scale distributed systems, realizing Vishwa, a peer-to-peer (P2P) middleware architecture for developing grid applications are discussed. Researchers are producing large amounts of scientific data and believe that distributed computations on the data must be scheduled and available to a large number of scientists. It is suggested that the platform must scale up to a large number of nodes and data units in the system and must also be scalable geographically. A scalable, reconfigurable shared-object space over the two-layer architecture can be developed that incorporates mechanisms to maintain replicated data and must also provide a shared-object abstraction over a wide-area distributed system.

关键词： distributed computer systems

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Roles:From objects, security and databases perspective

Roles:From objects, security and databases perspective

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2005 AAAI Fall Symposium

作者： Chandra Sekharaiah, Kangaluru Janaki Ram, D. Distributed Object Systems Group Department of Computer Science and Engg. JNTU College of Engineering Hyderabad India Distributed Object Systems Lab. Department of Computer Science and Engg. Indian Institute of Technology Madras

ISBN: (纸本)1577352548

A role paradigm conformance model (RPCM) called Typehole model was developed and implemented in Java. It does not use Is-role-of inheritance and is free from the object schizophrenia (OS) problem (OSP). An extended distributed role model provides multifarious role hierarchies at different sites. Modeling object role systems is prone to OSP. OSP is the error in the RPCM design to subscribe to the viewpoints in the client space. OS and OSP are contrasted. A classification of OSPs is made. Role modeling problem is the requirement to design an OSP-free RPCM with Is-role-of inheritance. The existing object-oriented role models have been evaluated as regards OSP. No role model has strong claims as regards solving the role modeling problem. A security model was developed for RPCM-based distributed object systems and implemented on CORBA. By designing message filter hierarchies, hybrid security is developed at global and local levels for RPCM-based object systems. Role is either abstract or concrete as it can be a type or an instance. Copyright © 2005, American Association for Artificial Intelligence (***). All rights reserved.

关键词： Database systems

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Avalanche Dynamics in Grids: Indications of SOC or HOT? 1

Avalanche Dynamics in Grids: Indications of SOC or HOT?

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1st Self-Organization and Autonomous systems in Computing and Communications Conference, SOAS 2005

作者： Srinivas, A. Vijay Janakiram, D. Reddy, M. Venkateswar Distributed & Object Systems Lab Dept. of CS & E Indian Institute of Technology Madras India

ISBN: (纸本)1586035770

Complex systems such as those in evolution, growth and depinning models do not evolve slowly and gradually, but exhibit avalanche dynamics or punctuated equilibria. Self-Organized Criticality (SOC) and Highly Optimized Tolerance (HOT) are two theoretical models that explain such avalanche dynamics. We have studied avalanche dynamics in two vastly different grid computing systems: Optimal Grid and Vishva. Failures in optimal grid cause an avalanche effect with respect to the overall computation. Vishva does not exhibit failure avalanches. Interestingly, Vishva exhibits load avalanche effects at critical load density, wherein a small load disturbance in one node can cause load disturbances in several other nodes. The avalanche dynamics of grid computing systems implies that grids can be viewed as SOC systems or as HOT systems. An SOC perspective suggests that grids may be sub-optimal in performance, but may be robust to unanticipated uncertainties. A HOT perspective suggests that grids can be made optimal in performance, but would then be sensitive to unanticipated perturbations. An ideal approach for grid systems research is to explore a combination of SOC and HOT as a basis for design, resulting in robust yet optimal systems. © 2005 The authors. All rights reserved.

关键词： Grid computing

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