Cloud Computing

Cloud computing. Computer network diagram, Cloud Computing Manifesto, Cloud networking, Thin client, Grid computing, Utility computing, Autonomic Computing

[1]  Sudarshan K. Dhall,et al.  On a Real-Time Scheduling Problem , 1978, Oper. Res..

[2]  Douglas Comer,et al.  Ubiquitous B-Tree , 1979, CSUR.

[3]  Stefano Ceri,et al.  Horizontal data partitioning in database design , 1982, SIGMOD '82.

[4]  David J. DeWitt,et al.  GAMMA - A High Performance Dataflow Database Machine , 1986, VLDB.

[5]  Hidehiko Tanaka,et al.  An Overview of The System Software of A Parallel Relational Database Machine GRACE , 1986, VLDB.

[6]  Mathai Joseph,et al.  Finding Response Times in a Real-Time System , 1986, Comput. J..

[7]  Patrick Valduriez,et al.  Join indices , 1987, TODS.

[8]  John P. Lehoczky,et al.  The rate monotonic scheduling algorithm: exact characterization and average case behavior , 1989, [1989] Proceedings. Real-Time Systems Symposium.

[9]  Hideyuki Tokuda,et al.  ARTS: a distributed real-time kernel , 1989, OPSR.

[10]  Jan O. Pedersen,et al.  Optimization for dynamic inverted index maintenance , 1989, SIGIR '90.

[11]  Lui Sha,et al.  Real-time scheduling theory and Ada , 1990, Computer.

[12]  Patrick Valduriez,et al.  Prototyping Bubba, A Highly Parallel Database System , 1990, IEEE Trans. Knowl. Data Eng..

[13]  John P. Lehoczky,et al.  Fixed priority scheduling of periodic task sets with arbitrary deadlines , 1990, [1990] Proceedings 11th Real-Time Systems Symposium.

[14]  Goetz Graefe,et al.  Encapsulation of parallelism in the Volcano query processing system , 1990, SIGMOD '90.

[15]  Tei-Wei Kuo,et al.  Load adjustment in adaptive real-time systems , 1991, [1991] Proceedings Twelfth Real-Time Systems Symposium.

[16]  Aurel A. Lazar,et al.  Real-Time Scheduling with Quality of Service Constraints , 1991, IEEE J. Sel. Areas Commun..

[17]  David J. DeWitt,et al.  Parallel database systems: the future of high performance database systems , 1992, CACM.

[18]  Robert Gibbons,et al.  A primer in game theory , 1992 .

[19]  Alan Burns,et al.  Applying new scheduling theory to static priority pre-emptive scheduling , 1993, Softw. Eng. J..

[20]  Honesty C. Young,et al.  A Symmetric Fragment and Replicate Algorithm for Distributed Joins , 1993, IEEE Trans. Parallel Distributed Syst..

[21]  Goetz Graefe,et al.  Query evaluation techniques for large databases , 1993, CSUR.

[22]  Kang G. Shin,et al.  A New Performance Measure for Scheduling Independent Real-Time Tasks , 1993, J. Parallel Distributed Comput..

[23]  Sang Hyuk Son,et al.  Assigning Real-Time Tasks to Homogeneous Multiprocessor Systems , 1994 .

[24]  John P. Lehoczky,et al.  Algorithms for scheduling hard aperiodic tasks in fixed-priority systems using slack stealing , 1994, 1994 Proceedings Real-Time Systems Symposium.

[25]  Jeffrey F. Naughton,et al.  Adaptive parallel aggregation algorithms , 1995, SIGMOD '95.

[26]  Dong-Won Park,et al.  A generalized utilization bound test for fixed-priority real-time scheduling , 1995, Proceedings Second International Workshop on Real-Time Computing Systems and Applications.

[27]  Shigemi Aoyagi,et al.  A feasibility decision algorithm for rate monotonic scheduling of periodic real-time tasks , 1995, Proceedings Real-Time Technology and Applications Symposium.

[28]  Waqar Hasan,et al.  Optimization of SQL Queries for Parallel Machines , 1996, Lecture Notes in Computer Science.

[29]  Patrick E. O'Neil,et al.  Improved query performance with variant indexes , 1997, SIGMOD '97.

[30]  Surajit Chaudhuri,et al.  An overview of data warehousing and OLAP technology , 1997, SGMD.

[31]  Debra E. VanderMeer,et al.  Applying Parallel Processing Techniques in Data Warehousing , 1998 .

[32]  C.-C. J. Han,et al.  A better polynomial-time schedulability test for real-time multiframe tasks , 1998, Proceedings 19th IEEE Real-Time Systems Symposium (Cat. No.98CB36279).

[33]  Mikael Sjödin,et al.  Improved response-time analysis calculations , 1998, Proceedings 19th IEEE Real-Time Systems Symposium (Cat. No.98CB36279).

[34]  Jeffrey F. Naughton,et al.  Caching multidimensional queries using chunks , 1998, SIGMOD '98.

[35]  Bongki Moon,et al.  A case for parallelism in data warehousing and OLAP , 1998, Proceedings Ninth International Workshop on Database and Expert Systems Applications (Cat. No.98EX130).

[36]  Mukesh K. Mohania,et al.  OLAP query processing for partitioned data warehouses , 1999, Proceedings 1999 International Symposium on Database Applications in Non-Traditional Environments (DANTE'99) (Cat. No.PR00496).

[37]  R. F. Freund,et al.  Dynamic Mapping of a Class of Independent Tasks onto Heterogeneous Computing Systems , 1999, J. Parallel Distributed Comput..

[38]  Alok N. Choudhary,et al.  A parallel scalable infrastructure for OLAP and data mining , 1999, Proceedings. IDEAS'99. International Database Engineering and Applications Symposium (Cat. No.PR00265).

[39]  Jorge Bernardino,et al.  Data warehousing and OLAP: improving query performance using distributed computing , 2000 .

[40]  Hao Huang,et al.  MarketNet: market-based protection of network systems and services-an application to SNMP protection , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[41]  Donald Kossmann,et al.  The state of the art in distributed query processing , 2000, CSUR.

[42]  Ladislau Bölöni,et al.  A Comparison of Eleven Static Heuristics for Mapping a Class of Independent Tasks onto Heterogeneous Distributed Computing Systems , 2001, J. Parallel Distributed Comput..

[43]  Ian T. Foster,et al.  The anatomy of the grid: enabling scalable virtual organizations , 2001, Proceedings First IEEE/ACM International Symposium on Cluster Computing and the Grid.

[44]  Chenyang Lu,et al.  Schedulability analysis and utilization bounds for highly scalable real-time services , 2001, Proceedings Seventh IEEE Real-Time Technology and Applications Symposium.

[45]  David Abramson,et al.  Economic models for resource management and scheduling in Grid computing , 2002, Concurr. Comput. Pract. Exp..

[46]  David Abramson,et al.  A Computational Economy for Grid Computing and its Implementation in the Nimrod-G Resource Brok , 2001, Future Gener. Comput. Syst..

[47]  Laks V. S. Lakshmanan,et al.  Efficient OLAP Query Processing in Distributed Data Warehouses , 2002, EDBT.

[48]  Giorgio C. Buttazzo,et al.  The space of rate monotonic schedulability , 2002, 23rd IEEE Real-Time Systems Symposium, 2002. RTSS 2002..

[49]  Fuat Akal,et al.  OLAP Query Evaluation in a Database Cluster: A Performance Study on Intra-Query Parallelism , 2002, ADBIS.

[50]  Arie Shoshani,et al.  Strategies for processing ad hoc queries on large data warehouses , 2002, DOLAP '02.

[51]  Yannis Sismanis,et al.  Dwarf: shrinking the PetaCube , 2002, SIGMOD '02.

[52]  Reinder J. Bril,et al.  Initial values for online response time calculations , 2003, 15th Euromicro Conference on Real-Time Systems, 2003. Proceedings..

[53]  Giorgio C. Buttazzo,et al.  Rate Monotonic Analysis: The Hyperbolic Bound , 2003, IEEE Trans. Computers.

[54]  Jeffrey O. Kephart,et al.  The Vision of Autonomic Computing , 2003, Computer.

[55]  Tei-Wei Kuo,et al.  Utilization bound revisited , 2003 .

[56]  Nicholas R. Jennings,et al.  The Evolution of the Grid , 2003 .

[57]  Kristina Lerman,et al.  Resource allocation games with changing resource capacities , 2003, AAMAS '03.

[58]  T. Başar,et al.  Nash Equilibrium and Decentralized Negotiation in Auctioning Divisible Resources , 2003 .

[59]  Sanjoy K. Baruah,et al.  Rate-monotonic scheduling on uniform multiprocessors , 2003, 23rd International Conference on Distributed Computing Systems, 2003. Proceedings..

[60]  Alan Burns,et al.  Real Time Scheduling Theory: A Historical Perspective , 2004, Real-Time Systems.

[61]  Marta Mattoso,et al.  Adaptive Virtual Partitioning for OLAP Query Processing in a Database Cluster , 2004, J. Inf. Data Manag..

[62]  Alok N. Choudhary,et al.  High Performance OLAP and Data Mining on Parallel Computers , 1997, Data Mining and Knowledge Discovery.

[63]  Johan Tordsson,et al.  A Grid Resource Broker Supporting Advance Reservations and Benchmark-Based Resource Selection , 2004, PARA.

[64]  Jiawei Han,et al.  High-Dimensional OLAP: A Minimal Cubing Approach , 2004, VLDB.

[65]  Salim Hariri,et al.  Autonomic Computing: An Overview , 2004, UPP.

[66]  L. Kalé,et al.  Faucets: efficient resource allocation on the computational grid , 2004, International Conference on Parallel Processing, 2004. ICPP 2004..

[67]  Mukesh K. Mohania,et al.  Bringing Together Partitioning, Materialized Views and Indexes to Optimize Performance of Relational Data Warehouses , 2004, DaWaK.

[68]  Eric Brewer,et al.  Combining Systems and Databases: A Search Engine Retrospective , 2004 .

[69]  Giorgio C. Buttazzo,et al.  Schedulability analysis of periodic fixed priority systems , 2004, IEEE Transactions on Computers.

[70]  Hamid Pirahesh,et al.  Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals , 1996, Data Mining and Knowledge Discovery.

[71]  Daniel F. García,et al.  Minimum and maximum utilization bounds for multiprocessor rate monotonic scheduling , 2004, IEEE Transactions on Parallel and Distributed Systems.

[72]  Tamer Basar,et al.  Computational Markets to Regulate Mobile-Agent Systems , 2003, Autonomous Agents and Multi-Agent Systems.

[73]  Marta Mattoso,et al.  OLAP Query Processing in a Database Cluster , 2004, Euro-Par.

[74]  Douglas Thain,et al.  Distributed computing in practice: the Condor experience , 2005, Concurr. Pract. Exp..

[75]  Zhimin Chen,et al.  Efficient computation of multiple group by queries , 2005, SIGMOD '05.

[76]  Theodore P. Baker,et al.  An analysis of EDF schedulability on a multiprocessor , 2005, IEEE Transactions on Parallel and Distributed Systems.

[77]  Alan Burns,et al.  Fixed priority pre-emptive scheduling: An historical perspective , 1995, Real-Time Systems.

[78]  Ladjel Bellatreche,et al.  An Evolutionary Approach to Schema Partitioning Selection in a Data Warehouse , 2005, DaWaK.

[79]  Sanjoy K. Baruah,et al.  A fully polynomial-time approximation scheme for feasibility analysis in static-priority systems with bounded relative deadlines , 2006, J. Embed. Comput..

[80]  Ishfaq Ahmad,et al.  Non-cooperative, semi-cooperative, and cooperative games-based grid resource allocation , 2006, Proceedings 20th IEEE International Parallel & Distributed Processing Symposium.

[81]  Wei-Kuan Shih,et al.  A precise schedulability test algorithm for scheduling periodic tasks in real-time systems , 2006, SAC '06.

[82]  Daniel J. Abadi,et al.  Integrating compression and execution in column-oriented database systems , 2006, SIGMOD Conference.

[83]  Bora Uçar,et al.  Task assignment in heterogeneous computing systems , 2006, J. Parallel Distributed Comput..

[84]  Frédéric Magoulès,et al.  A Framework for Dynamic Deployment of Scientific Applications Based on WSRF , 2007, GPC.

[85]  Douglas Stott Parker,et al.  Map-reduce-merge: simplified relational data processing on large clusters , 2007, SIGMOD '07.

[86]  Chunyan Miao,et al.  Market Based Resource Allocation with Incomplete Information , 2007, IJCAI.

[87]  Patchrawat Uthaisombut,et al.  Generalization of EDF and LLF: Identifying All Optimal Online Algorithms for Minimizing Maximum Lateness , 2008, Algorithmica.

[88]  Marta Mattoso,et al.  OLAP Query Processing in Grids , 2007, VLDB 2007.

[89]  Lei Yu,et al.  Grid Resource Management: Toward Virtual and Services Compliant Grid Computing , 2008 .

[90]  Sanjay Ghemawat,et al.  MapReduce: simplified data processing on large clusters , 2008, CACM.

[91]  Daniel J. Abadi,et al.  Column-stores vs. row-stores: how different are they really? , 2008, SIGMOD Conference.

[92]  Ravi Kumar,et al.  Pig latin: a not-so-foreign language for data processing , 2008, SIGMOD Conference.

[93]  Jingren Zhou,et al.  SCOPE: easy and efficient parallel processing of massive data sets , 2008, Proc. VLDB Endow..

[94]  Ralf Lämmel,et al.  Google's MapReduce programming model - Revisited , 2007, Sci. Comput. Program..

[95]  Wilson C. Hsieh,et al.  Bigtable: A Distributed Storage System for Structured Data , 2006, TOCS.

[96]  Randy H. Katz,et al.  Improving MapReduce Performance in Heterogeneous Environments , 2008, OSDI.

[97]  Christopher Olston,et al.  Parallel Evaluation of Composite Aggregate Queries , 2008, 2008 IEEE 24th International Conference on Data Engineering.

[98]  Yong Zhao,et al.  Cloud Computing and Grid Computing 360-Degree Compared , 2008, GCE 2008.

[99]  Hua-Ming Liao,et al.  Cache-Based Aggregate Query Shipping: An Efficient Scheme of Distributed OLAP Query Processing , 2008, Journal of Computer Science and Technology.

[100]  Lei Yu,et al.  Towards Dynamic Integration, Scheduling and Rescheduling of Scientific Applications , 2008 .

[101]  Rajkumar Buyya,et al.  Modeling and simulation of scalable Cloud computing environments and the CloudSim toolkit: Challenges and opportunities , 2009, 2009 International Conference on High Performance Computing & Simulation.

[102]  Antonio Puliafito,et al.  Experiencing with the Cloud over gLite , 2009, 2009 ICSE Workshop on Software Engineering Challenges of Cloud Computing.

[103]  Kai Wang,et al.  Accelerating MapReduce with Distributed Memory Cache , 2009, 2009 15th International Conference on Parallel and Distributed Systems.

[104]  Michael Stonebraker,et al.  A comparison of approaches to large-scale data analysis , 2009, SIGMOD Conference.

[105]  Randy H. Katz,et al.  Above the Clouds: A Berkeley View of Cloud Computing , 2009 .

[106]  R. Buyya,et al.  OpenPEX: An Open Provisioning and EXecution System for Virtual Machines , 2009 .

[107]  Matei Zaharia,et al.  Job Scheduling for Multi-User MapReduce Clusters , 2009 .

[108]  Daniel J. Abadi,et al.  Data Management in the Cloud: Limitations and Opportunities , 2009, IEEE Data Eng. Bull..

[109]  Rajkumar Buyya,et al.  Cloudbus Toolkit for Market-Oriented Cloud Computing , 2009, CloudCom.

[110]  Ruppa K. Thulasiram,et al.  Markets, Mechanisms, Games, and Their Implications in Grids , 2009 .

[111]  Rajkumar Buyya,et al.  Article in Press Future Generation Computer Systems ( ) – Future Generation Computer Systems Cloud Computing and Emerging It Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility , 2022 .

[112]  Abraham Silberschatz,et al.  HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads , 2009, Proc. VLDB Endow..

[113]  Jie Pan,et al.  Introduction to Grid Computing , 2009 .

[114]  Lei Yu,et al.  Service scheduling and rescheduling in an applications integration framework , 2009, Adv. Eng. Softw..

[115]  R. Rajkumar,et al.  A Loadable Real-Time Scheduler Suite for Multicore Platforms ∗ , 2009 .

[116]  Andrew V. Goldberg,et al.  Quincy: fair scheduling for distributed computing clusters , 2009, SOSP '09.

[117]  Jimmy J. Lin,et al.  Low-Latency, High-Throughput Access to Static Global Resources within the Hadoop Framework , 2009 .

[118]  Fei Teng,et al.  A New Game Theoretical Resource Allocation Algorithm for Cloud Computing , 2010, GPC.

[119]  Jie Pan,et al.  Executing Multiple Group by Query Using MapReduce Approach: Implementation and Optimization , 2010, GPC.

[120]  Scott Shenker,et al.  Delay scheduling: a simple technique for achieving locality and fairness in cluster scheduling , 2010, EuroSys '10.

[121]  Artur Andrzejak,et al.  Reducing Costs of Spot Instances via Checkpointing in the Amazon Elastic Compute Cloud , 2010, 2010 IEEE 3rd International Conference on Cloud Computing.

[122]  Jie Pan,et al.  Executing multiple group-by query in a MapReduce approach , 2010, 2010 Second International Conference on Communication Systems, Networks and Applications.

[123]  Jie Pan,et al.  Implementing and Optimizing Multiple Group by Query in a MapReduce Approach , 2010 .

[124]  Samarjit Chakraborty,et al.  Constant-time admission control for Deadline Monotonic tasks , 2010, 2010 Design, Automation & Test in Europe Conference & Exhibition (DATE 2010).

[125]  Jie Pan,et al.  Parallelizing multiple group-by query in share-nothing environment: a MapReduce study case , 2010, HPDC '10.

[126]  H. Krcmar,et al.  Cloud Computing – Outsourcing 2.0 or a new Business Model for IT Provisioning? , 2011 .

[127]  Naixue Xiong,et al.  Game and Balance Multicast Architecture Algorithms for Sensor Grid , 2009, 2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[128]  Samarjit Chakraborty,et al.  Near-Optimal Constant-Time Admission Control for DM Tasks via Non-uniform Approximations , 2011, 2011 17th IEEE Real-Time and Embedded Technology and Applications Symposium.