The SunSCALR framework for Internet servers

Singhai, Ashish; Lim, Swee-Boon; Radia, Sanjay

doi:10.1109/ftcs.1998.689460

Cited by 16 publications

(6 citation statements)

References 22 publications

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“…Several mechanisms have been proposed for load balancing of distributed web-server systems [1]. These include client-based approaches [2], [3], [4], DNS-based approaches [5], [6], as well as dispatcherbased approaches [7]. Service composition involves at least two novel aspects that pose new challenges.…”

Section: Related Workmentioning

confidence: 99%

“…Although the problem of web-server selection has been researched in the past [1], [2], [3], [4], [5], [6], [7] in the context of an Internet-wide distributed system, there are several aspects of service composition that make our work novel. First, we have to choose a set of service instances to form a servicelevel path, and not just a single web-mirror.…”

Section: Introductionmentioning

confidence: 99%

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Load balancing and stability issues in algorithms for service composition

Raman¹

2003

IEEE INFOCOM 2003. Twenty-Second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37

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Abstract-Service composition enables flexible creation of new services by assembling independent service components. We are focused on the scenario where such composition takes place across the wide-area Internet. We envision independent providers deploying and managing service instances and portal providers composing them to quickly enable new applications in nextgeneration networks.One of the important goals in such service composition is load balancing across service instances. While load balancing has been studied extensively for web-server selection, the presence of composition presents new challenges. First, each client session involving composition requires a set of service instances and not just one server. Second, unlike web-mirror selection, we also concern ourselves with load balancing in the presence of failure recovery during a client session. We introduce (a) a metric to choose the set of service instances for composed client sessions: the least-inverse-available-capacity (LIAC) metric, as well as (b) a piggybacking mechanism to give quick feedback about server load. We then introduce an additional factor in the load balancing metric to avoid choosing far away service instances. Our experiments, based on an emulation testbed, show that our load balancing mechanism works well under a variety of scenarios including network path failures.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Load balancing and stability issues in algorithms for service composition

Raman¹

2003

IEEE INFOCOM 2003. Twenty-Second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37

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“…Examples are the SunSCALR project at Sun Microsystems [48], as well as papers by Elnozahy [24] and Tobagi et al [53].…”

Section: High-availability Video Servermentioning

confidence: 99%

Computing in the RAIN: a reliable array of independent nodes

Bohossian¹,

Fan

LeMahieu

et al. 2001

IEEE Trans. Parallel Distrib. Syst.

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AbstractÐThe RAIN project is a research collaboration between Caltech and NASA-JPL on distributed computing and data storage systems for future spaceborne missions. The goal of the project is to identify and develop key building blocks for reliable distributed systems built with inexpensive off-the-shelf components. The RAIN platform consists of a heterogeneous cluster of computing and/or storage nodes connected via multiple interfaces to networks configured in fault-tolerant topologies. The RAIN software components run in conjunction with operating system services and standard network protocols. Through software-implemented fault tolerance, the system tolerates multiple node, link, and switch failures, with no single point of failure. The RAIN technology has been transfered to Rainfinity, a start-up company focusing on creating clustered solutions for improving the performance and availability of Internet data centers. In this paper, we describe the following contributions: 1) fault-tolerant interconnect topologies and communication protocols providing consistent error reporting of link failures, 2) fault management techniques based on group membership, and 3) data storage schemes based on computationally efficient error-control codes. We present several proof-of-concept applications: a highly-available video server, a highly-available Web server, and a distributed checkpointing system. Also, we describe a commercial product, Rainwall, built with the RAIN technology.

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“…Also, the entire cluster's throughput is limited by the speed and processing power of the dispatch server. SUNSCALAR [17] provides load balancing by using both approaches, i.e., Dispatcher and Round Robin. In [18] author presented locality aware policy.…”

Section: Related Workmentioning

confidence: 99%

Load Balancing on Open Networks: A Mobile Agent Approach

Patel¹,

Aggarwal²

2006

J. of Computer Science

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Abstract:In order to disperse the load on a Web server, generally the server cluster is configured to distribute access requests, or mirror servers are distributed geographically on different networks. Use of the Internet and the World-Wide-Web (WWW) has become widespread in recent years and mobile agent technology has proliferated at an equally rapid rate to evenly distribute the requests to web servers through load balancing. There are various loads balancing policies came into picture. Primitive one is Message Passing Interface (MPI). Its wide availability and portability make it an attractive choice, however the communication requirements are sometimes inconventior and inefficient when implementing the primitives provided by MPI. Mobile agent (MA) based approach have the merits of high flexibility, efficiency, low network traffic, less communication latency as well as highly asynchronous. In this study we present dynamic load balancing using mobile agent technology in which when a node is overloaded, task migrates to less utilized nodes so as to share the workload. However, the decision of which nodes receive migrating task is made in real-time by design and implementation of a framework called Platform for Load balancing (PLB). It is implemented on PMADE (A Platform for Mobile Agent Distribution and Execution). PLB integrated web servers can dispatch MAs to retrieve load information and accomplish load redistribution on all servers. The performance evaluation demonstrates that the PLB framework provides a foundation to develop efficient load balancing schemes on wide range of web server systems from cluster to open network and the results of a comparison of PLB, with some existing ones, is also reported.

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The SunSCALR framework for Internet servers

Cited by 16 publications

References 22 publications

Load balancing and stability issues in algorithms for service composition

Load balancing and stability issues in algorithms for service composition

Computing in the RAIN: a reliable array of independent nodes

Load Balancing on Open Networks: A Mobile Agent Approach

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